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+{
+  "timestamp": "2026-04-30T19:15:42.811681",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_000_seed_310_A crystal-clear glass ball begins its journey acro.mp4",
+  "arguments": {
+    "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.",
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+  "timestamp": "2026-04-30T12:18:07.896818",
+  "task": "t2v",
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+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e951777fb14c1fde3cb8a01c4305d211180218c4
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:48:39.723698",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient.mp4",
+  "arguments": {
+    "prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb88c631d816275e5373243dc892a57f4202b1dc
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:19:41.435487",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini.mp4",
+  "arguments": {
+    "prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 310,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf7e1930f6dad7b661b97d0b0ed08554ebd93c62
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:22:06.478797",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4",
+  "arguments": {
+    "prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e57134fa22f294068ccff5aa219350fd2606ca7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:54:39.550578",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a.mp4",
+  "arguments": {
+    "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..87ae357e759f3c0e4a737be4e830106e973f1962
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:20:22.124322",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium, eye-level shot of three young women seated at a dining table, their forms and the environment rendered in a soft, flowing watercolor style. The woman on the left, with blonde hair tied back, wears a cream-colored sweater. In the center, a woman with dark, curly hair in a blush pink top smiles warmly. On the right, a woman with auburn hair in a terracotta dress initiates the toast. The table is adorned with simple white plates and silverware, with the focus being on three elegant glasses filled with a rich, crimson red wine. The woman on the right gracefully picks up her glass first. Following her lead, the woman in the center and then the woman on the left pick up their glasses. Their painted faces are filled with genuine joy and affection. They bring their glasses together over the center of the table, the light catching the deep red of the wine. The moment before the glasses clink is held, capturing the peak of their shared celebratory spirit. The background is a gentle wash of warm, indistinct colors, suggesting a cozy interior without distracting from the central, heartfelt action.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5736,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..76573fcb6ad8898f8b55b9e92d1a97ab70491ac2
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:26:04.527741",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4",
+  "arguments": {
+    "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..80d3ba93cd1a32bff8d969a71460365b3e52801d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:56:38.948933",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4",
+  "arguments": {
+    "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_6267_The scene opens with a medium shot of an elderly w_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_6267_The scene opens with a medium shot of an elderly w_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fe369767ea10ef16fd43b9b012715d3189319535
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_6267_The scene opens with a medium shot of an elderly w_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:22:20.118184",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_6267_The scene opens with a medium shot of an elderly w.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a medium shot of an elderly woman, appearing to be in her 80s, seated on a simple wooden stool in a public park. She has fine, silver hair neatly tied back and wears a traditional, dark-colored tunic with intricate embroidery at the collar. Her eyes are gently closed as she focuses on her music. In her hands, she holds a polished, dark wood erhu. Her left hand delicately presses the strings, her fingers moving with practiced grace, while her right hand draws the bow smoothly across them, producing a soulful, resonant melody. She hums softly, a low, gentle sound that harmonizes perfectly with the instrument's voice. A diverse crowd of onlookers, ranging from young adults to other seniors, has formed a respectful semi-circle around her. Some watch with rapt attention, their expressions contemplative. A young woman can be seen subtly recording on her phone, while an older man nods his head slowly to the rhythm. The park setting is serene, with large, mature trees whose leaves create a soft, dappled canopy. The light is diffused, characteristic of an overcast day, which lends a moody and introspective quality to the entire scene. The focus remains tightly on the woman, a figure of serene artistry amidst the quiet reverence of her audience.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6267,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_005_seed_6267_The scene opens with a medium shot of an elderly w.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..42f2459fbbee78d21b80e030e7ef756fa52da06d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:30:02.381093",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4",
+  "arguments": {
+    "prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2a00c5cb1a99786ac13ef33b75836a6e63fd0ddd
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:00:37.706381",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding.mp4",
+  "arguments": {
+    "prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..06356d56ac581ac88f53432ca6f9eb131c19b92b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:26:16.114433",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a medium shot of a cozy, slightly cluttered living room, bathed in the warm glow of late afternoon sun filtering through a window on the right. A middle-aged, plump man with thinning brown hair enters from the left side of the frame. He is dressed casually in a green and blue plaid button-up shirt and dark jeans, and he has a weary expression on his face. He walks towards a large, overstuffed couch with a faded, brown floral pattern. In front of the couch sits a low wooden coffee table with a stack of magazines. The man turns and lowers himself onto the couch with a tired sigh. The camera maintains an eye-level perspective, emphasizing the dramatic sinking of the well-worn cushions as they slowly give way under his substantial weight. The fabric strains and creases around him. He shifts his body slightly, finding a comfortable position before leaning his head back against the top of the sofa and closing his eyes, finally at rest.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 4428,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d9ef1eaa2dcf6cb68698e9144a5175c21670a092
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:02:37.139858",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu.mp4",
+  "arguments": {
+    "prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e73168135f1892db2d89cdd8b406adee4d8db21
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:32:10.054310",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi.mp4",
+  "arguments": {
+    "prompt": "The scene is captured in a dramatic low-angle medium shot, amplifying the scale and danger of the stunt. On a completely dark stage, the only source of light is a large metal ring, fiercely ablaze with vibrant orange and yellow flames that lick and dance into the darkness. A bare-chested Asian man, his muscles taut with concentration, stands poised a few feet from the fiery obstacle. He takes a deep breath, his eyes locked on the opening. With a powerful burst of energy, he sprints forward. He launches himself into the air, tucking his legs and arms close to his body to navigate the narrow, burning passage. For a split second, he is perfectly framed within the circle of fire, a silhouette against the inferno. The intense light casts flickering shadows and highlights across his skin and simple dark pants. He passes through the ring cleanly and lands gracefully on the other side, rolling to absorb the impact before rising to his feet. The background remains an abyss of black, isolating the raw, thrilling spectacle of man versus fire. The atmosphere is thick with tension and awe at the display of courage and physical control.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 1687,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a1e9806f6d62aebfb6fb80f39c661f167c0ac8a9
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:37:59.398982",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4",
+  "arguments": {
+    "prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c0f2526b775e0100c8f1cb80e21fc4ae125ef92
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:08:37.203671",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red.mp4",
+  "arguments": {
+    "prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_771_The scene is set in a bustling sun-drenched town s_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_771_The scene is set in a bustling sun-drenched town s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1caaa46a5e9eb510ce55cf651d5e5500c9e4508c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_771_The scene is set in a bustling sun-drenched town s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:34:08.130637",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_771_The scene is set in a bustling sun-drenched town s.mp4",
+  "arguments": {
+    "prompt": "The scene is set in a bustling, sun-drenched town square with historic buildings in the background. A wide, eye-level shot captures an elderly man pushing a tandem wheelchair, in which his wife is seated comfortably. They move across the cobblestone plaza, their expressions content. The entire scene is rendered in sharp focus, highlighting the textures of the environment and the details of the people. As they proceed, they come across three other elderly couples who appear to be old friends. A moment of joyful recognition passes between them. The man stops the wheelchair, and the groups merge. Smiles, waves, and cheerful chatter fill the air as they reunite, creating a lively and heartwarming tableau of enduring companionship and community in their golden years. The camera remains static, allowing the natural, happy interaction to unfold within the frame.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 771,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_771_The scene is set in a bustling sun-drenched town s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4f0e512a754094e4294c407b8d9fe166decc3832
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:39:58.313451",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4",
+  "arguments": {
+    "prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..735178aa9d8045ce0aa962c1e294636526dfaa23
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:41:57.168384",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4",
+  "arguments": {
+    "prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b4c55b5f1e92e12b8715960aa3adf03e73bb228
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:38:04.231007",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a bright, sunny day in a lush green backyard. A small boy, around six years old with tousled blond hair, is the central focus. He is dressed in a vibrant red short-sleeved t-shirt and blue denim shorts. In front of him, on the manicured lawn, sits a tall, slightly wobbly tower constructed from colorful wooden blocks of various shapes and sizes—red, blue, yellow, and green. The camera, positioned at a low angle, captures the boy as he takes a small step back to admire his handiwork. He plants his feet firmly apart, straightens his back, and places both hands squarely on his hips in a classic pose of accomplishment. His chest puffs out with pride. After a moment of contemplation, his face breaks into a huge, infectious smile, his eyes crinkling at the corners. The smile is pure, unadulterated joy and pride. The bright, natural sunlight casts a warm glow over the entire scene, creating a soft lens flare and making the colors pop. The background is slightly blurred, keeping the focus entirely on the boy and his triumphant moment.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2435,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..14cabb63954366c68e3eefcc524f07e04678d9d2
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:14:35.291490",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt.mp4",
+  "arguments": {
+    "prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a9853c918d301d44d6376d321d5adb0d44e55c35
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:45:54.791996",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4",
+  "arguments": {
+    "prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07cc30dd964453c523d2192d260449d838f1f98e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:16:34.559622",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta.mp4",
+  "arguments": {
+    "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c54b0958cc876686ee8610a7c6766e7849280d45
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:42:02.316552",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a sweeping wide shot, composed according to the rule of thirds, with an elderly Chinese man positioned on the right side of the frame. He stands on an ancient, weathered stone path that meanders through a landscape of rolling hills shrouded in a thick, soft mist. The man has a deeply wrinkled face and a long, flowing white beard that reaches his chest. He wears a simple, coarse-spun brown robe and a traditional conical bamboo hat that casts a gentle shadow over his features. In his left hand, he grips a gnarled wooden cane, its surface polished smooth from years of use, providing him with stability. His entire focus is on his right hand, which is held up near his face. His brow is furrowed in concentration as his thumb methodically touches different segments of his fingers in a complex, silent calculation. The environment is lit by a diffused, natural light coming from the side, which catches the airborne mist and softly illuminates the contours of his robe and the sparse, gnarled trees dotting the background. The atmosphere is one of profound peace and deep contemplation, as if the man is solving a timeless riddle alone in nature.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5053,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..14073f5d2cc5a0ae9eca0b80d0cfe32527809cc3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:18:33.880667",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4",
+  "arguments": {
+    "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..375ed245afa664a3449f0588776c90b8ff1ed8bd
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:44:00.648950",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a low-angle, full shot of a woman with dark, flowing hair, wearing a striking, floor-length scarlet red dress. She is strolling leisurely from right to left along a winding cobblestone path in a magnificent, verdant garden. The garden is in full bloom, with an array of colorful flowers like deep pink roses and tall, yellow sunflowers flanking the path. The camera is positioned low to the ground, making the flowers in the foreground appear large and immersive, framing the woman majestically. It's the golden hour; the setting sun is out of frame but casts long shadows and bathes the scene in a warm, golden light. This backlights the woman, creating a soft, ethereal glow around her silhouette and illuminating the delicate fabric of her dress. As she walks, she gently brushes her fingertips against the petals of a rose. The camera pans smoothly, following her elegant and unhurried pace. The background consists of tall green hedges and a soft-focus view of the sky, painted with hues of orange and pink.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6422,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f863ba58314096feebe621ee277b7226de3f0601
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:49:52.622565",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4",
+  "arguments": {
+    "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_1186_From a high-angle perspective the entirety of a pr_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_1186_From a high-angle perspective the entirety of a pr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e20db195bfd713146004edeac73edb0801005bde
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_1186_From a high-angle perspective the entirety of a pr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:45:58.526973",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_1186_From a high-angle perspective the entirety of a pr.mp4",
+  "arguments": {
+    "prompt": "From a high-angle perspective, the entirety of a professional-grade, vibrant green tennis court is visible under a brilliant, cloudless blue sky. In the foreground, a man with short dark hair, dressed in a white polo shirt and blue shorts, is captured mid-motion. He has just completed a powerful forehand stroke, his body extended and his focus locked on the ball. The tennis racket is a blur of motion in his right hand. Across the net, in the background, his opponent, a blond man in a red shirt and white shorts, is already reacting. He is crouched low, his knees bent, moving swiftly to his left to intercept the fast-approaching yellow tennis ball. The white lines of the court stand out starkly against the green surface, and the net casts a faint, sharp shadow. The surrounding area includes a high chain-link fence, and beyond it, some out-of-focus green trees suggest a park or sports complex setting. The rally is fast and intense, a testament to the players' skill and athleticism, creating a palpable atmosphere of competition and focus.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 1186,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_1186_From a high-angle perspective the entirety of a pr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..df5a784ab54894415175fc9810b5eb6ee6e4b732
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:20:34.249687",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4",
+  "arguments": {
+    "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e692d6e755a6afaec3468eb62849379a0cc47b5d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:22:33.689791",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4",
+  "arguments": {
+    "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_4557_The scene opens on a wide low-angle shot within a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_4557_The scene opens on a wide low-angle shot within a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9cab9e05bc1657565b34dc84a25bcfef7780192
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_4557_The scene opens on a wide low-angle shot within a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:47:56.577742",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_4557_The scene opens on a wide low-angle shot within a.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a wide, low-angle shot within a sprawling, sunlit temple courtyard paved with ancient stones. In the lower third of the frame, a group of three tourists comes to a halt. The group consists of an older Caucasian man with a camera around his neck, a middle-aged Asian woman in a sun hat, and a young man wearing a backpack. They are initially looking at their surroundings, a low murmur of conversation between them. The woman points upwards, and as one, they slowly begin to tilt their heads back. The camera follows their gaze, panning vertically up the massive, weathered bronze statue of Confucius that dominates the frame. The statue is depicted in a thoughtful pose, one hand stroking a long beard, its robes intricately detailed. The sunlight glints off the bronze, creating highlights and deep shadows that accentuate its aged texture. The tourists' faces, now fully visible, are filled with a silent, shared awe. The older man's mouth is slightly agape, while the woman has a hand to her chest. The young man simply stares, captivated. The background features the ornate, curved eaves of a traditional temple building against a brilliant, clear blue sky.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 4557,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_018_seed_4557_The scene opens on a wide low-angle shot within a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_019_seed_3387_The scene opens on a medium shot from a slightly h_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_019_seed_3387_The scene opens on a medium shot from a slightly h_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f90b565200dbae2e1a7519168394300ebb5053e3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_019_seed_3387_The scene opens on a medium shot from a slightly h_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:49:54.536131",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_019_seed_3387_The scene opens on a medium shot from a slightly h.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium shot from a slightly high angle, focusing on a man in his late 50s seated in a faded, brown armchair. The room is steeped in a quiet, melancholic atmosphere, illuminated only by the soft, fading natural light from a single window off-screen. The man, with short, salt-and-pepper hair and a weary expression, is hunched forward, his shoulders slumped in a posture of defeat. He is dressed in a simple, dark gray knitted sweater. In his hands, he holds a large, crinkled newspaper. He isn't actively reading; instead, his fingers absently turn the large pages, the rustling sound being the only noise in the otherwise silent room. His gaze is distant, looking down at the paper but seemingly through it. He flips a page, lets it settle, pauses for a long moment, and then repeats the action without any change in his somber expression. The composition places him on the right third of the frame, leaving empty space to his left, which amplifies his isolation. The background is softly out of focus, showing a plain wall with a single, framed picture hanging crookedly, and the corner of a wooden side table with a cold cup of tea on it. The muted color palette of blues, grays, and browns, combined with the soft lighting, creates a poignant and deeply sorrowful mood.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 3387,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_019_seed_3387_The scene opens on a medium shot from a slightly h.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c33de1e478c53978464a5e0dd002a03debd15e4
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:26:31.612435",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4",
+  "arguments": {
+    "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9ee307203279a847fd194233dfb5479ff4dd5d51
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:51:52.648731",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a wide, eye-level shot capturing an old, weathered stone bridge arching over a calm, slow-moving river. It's late autumn, and the trees lining the riverbank have shed most of their leaves, their bare branches stark against the pale, overcast sky. Positioned on the right third of the frame, two young women stand close together, leaning on the thick stone parapet. The first woman, with dark hair stirred by a gentle breeze, wears a long, dark coat. Her focus is entirely on the water's gentle current. Beside her, the second woman, in a gray knitted beanie and a lighter jacket, stares into the distance, her expression lost in thought. The natural, soft light of the afternoon casts no harsh shadows, bathing the scene in a cool, somber tone. The color palette is dominated by muted blues from the water and sky, and the earthy grays and browns of the stone and landscape. They remain silent, their shared stillness and the quiet flow of the river creating a powerful, sorrowful atmosphere of shared grief or deep reflection.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6398,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..84379cf15fff279d035fda5c4887057b370654ed
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:57:53.616161",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4",
+  "arguments": {
+    "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8db2fca6c5ecd4741cf59030bc436850707aa8eb
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:53:50.635604",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid.mp4",
+  "arguments": {
+    "prompt": "The scene is captured from a dynamic low-angle, wide shot, immersing the viewer in the world of eight young children playing in a sun-drenched park. Each child wears an identical, vibrant red hat, creating a striking visual unity against the backdrop of a verdant green lawn and a clear blue sky. They are deeply engrossed in building with a large collection of colorful wooden blocks. The low viewpoint makes their small figures seem heroic and their block structures appear like a miniature city skyline. In the center of the frame, a few children work together, carefully stacking blocks to create a tall tower. To the side, others are building lower, house-like structures. Their faces show a mixture of intense concentration and pure joy. The natural sunlight is bright and warm, casting soft shadows and highlighting the vivid colors of the blocks and the children's clothing. The atmosphere is one of innocent creativity, collaboration, and playful happiness, set within an idyllic park environment.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 8668,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..29faf6e628b43cca4fb207942995e0da11ad083d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T12:59:52.538194",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4",
+  "arguments": {
+    "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cd8482644c7b6ba1b7cd23e4f80e949733c81d83
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:57:49.315833",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a high-angle wide shot of a vast, untouched snowy landscape under a pale, late-afternoon sky. A solitary figure, a beautiful Chinese woman, stands in the lower right third of the frame. She has long, flowing black hair that contrasts sharply with the white snow. She is elegantly dressed, wearing a full-length, dark brown fur coat over a form-fitting black knit dress and impractical high-heeled boots. Large, dark sunglasses obscure her eyes, making her expression unreadable. The natural light is soft and cool, casting long, blue shadows across the snow. After a moment of stillness, she begins to move with a slow, almost ceremonial grace. She bends her knees, lowering her body towards the ground. Her movements are fluid and deliberate as she lies back, her fur coat spreading around her like a dark halo against the pristine white. She comes to rest fully on her back, her arms falling limply to her sides, her head turned slightly to the side. The camera holds on this image: a stark, beautiful, and poignant tableau of luxury and vulnerability against the unforgiving cold of nature.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2560,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b3b874ade47556f6aa13048e2db14d25cc034ef
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:32:27.069253",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4",
+  "arguments": {
+    "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b23c89a7efc843f05c4a368fe159a07851f6f3a6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:03:50.362931",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4",
+  "arguments": {
+    "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..74ddafd362d5d27b3891c55e0647923cd54b38b9
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:05:50.724802",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4",
+  "arguments": {
+    "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..70673a7057c8168f10d4b23af65812ef95986d5c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:01:45.337215",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a wide shot of a meticulously crafted claymation garden under a bright, sunny sky. The garden is a tapestry of vibrant colors, with lush green grass, a winding grey stone path, and oversized, whimsical flowers in pastel pinks, purples, and blues. A small clay figure of a little girl enters the frame from the right. She has brown pigtails tied with blue ribbons and is wearing a cheerful bright yellow dress. In her left hand, she clutches the red handle of a colorful, striped handbag. With a joyful expression on her face, she begins to skip along the stone path, moving from right to left across the screen. Her skipping motion is charmingly imperfect, a hallmark of stop-motion animation, with each frame capturing a distinct pose. As she skips, she swings the handbag back and forth in rhythm with her steps. In the background, a small clay butterfly with orange wings flutters near a large pink flower. The entire scene is bathed in soft, warm light, creating a gentle and heartwarming atmosphere of childhood innocence and wonder. The girl continues skipping until she exits the frame on the left.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2049,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e33c2614c074b9d93428c94219fab37cb39c7bb
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:36:25.196061",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4",
+  "arguments": {
+    "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f388f5d9bf137928f838798e5e9e5953fd76035d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:07:49.825976",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4",
+  "arguments": {
+    "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1dbe48d2d36911f89473cc9bbf435955ae2fea4f
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:38:24.314094",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4",
+  "arguments": {
+    "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f568abc3617ce9edd5d5a41f0efd36871ba74fe1
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:09:49.284980",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4",
+  "arguments": {
+    "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..45be77bc3cf01e52363fd58c95090b468e1b25b5
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:40:23.386510",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4",
+  "arguments": {
+    "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..80805a35a4a98c6c7fe0b5dcc4bb3e14256d0188
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:05:41.352121",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium, low-angle shot of a teenage boy on an empty, red-surfaced running track during sunset. He is positioned on the right third of the frame, having just completed an intense sprint. He wears a striking neon green athletic jacket, unzipped to reveal a dark shirt underneath, and black running shorts. His body is bent sharply at the waist, his hands pressed firmly onto his knees for support as he struggles to recover. His dark, curly hair is damp with sweat, which also beads on his forehead and temples. His chest rises and falls rapidly and deeply, and with each ragged exhalation, a faint mist of his breath is visible in the cooling air, illuminated by the strong backlight from the setting sun. The sun, low on the horizon, casts long shadows and bathes the scene in a warm, orange glow, creating a cinematic lens flare that streaks across the frame. After a few moments of labored breathing, he slowly and painfully straightens his posture, his eyes remaining fixed on the track ahead with a look of fierce determination mixed with utter exhaustion.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 9169,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..29dea157b073de0e1449b56829d84064830a5599
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:11:48.412107",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4",
+  "arguments": {
+    "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_10000_The scene opens with a static extreme wide shot fr_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_10000_The scene opens with a static extreme wide shot fr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7405b1a264f232d3eac81d212add4123db3745b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_10000_The scene opens with a static extreme wide shot fr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:07:39.256466",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_10000_The scene opens with a static extreme wide shot fr.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a static, extreme wide shot from a bird's-eye view, looking down upon a vast expanse of green lawn. The grass is almost entirely obscured by a chaotic carpet of debris left behind by a music festival: countless plastic cups, crumpled food wrappers, discarded flyers, and shimmering confetti. The early morning light, a soft golden hue, streams in from the side, casting long, dramatic shadows across the field. A single, small figure, a janitor in a dark blue uniform, moves slowly and deliberately through the mess. He pushes a wheeled trash cart ahead of him. With a mechanical grabber in one hand, he methodically picks up pieces of trash one by one, his movements precise and unhurried. He drops each item into a large, gaping black plastic bag attached to his cart. The sheer scale of the mess dwarfs him, making his task seem monumental, almost futile. In the far background, the skeletal structure of the main festival stage is visible, now silent and empty. The contrast between the colorful, festive remnants and the solitary, quiet labor of the janitor creates a powerful, contemplative mood, capturing the silent, unseen work that follows mass celebration.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 10000,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_10000_The scene opens with a static extreme wide shot fr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-100/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b52ba2802ddf2808b5b856d9496e5a132fbdd6ca
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:42:22.621300",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4",
+  "arguments": {
+    "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4a9fa2eca3c754d271ef5bed65cc1e8e0ddce269
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:13:48.493753",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4",
+  "arguments": {
+    "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc51398ba4b92c5657b6e18c14862ae374d96dd4
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:44:21.852967",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4",
+  "arguments": {
+    "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ac7ff99577d42d34e8361dd2ac226f62a94151f6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:15:47.445051",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4",
+  "arguments": {
+    "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b82bc36200cac2264fa34221fde8eb473e39d586
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:19:45.199067",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4",
+  "arguments": {
+    "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f420f0888d8242c13c85a004d8d72d8e957acca2
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:23:43.016937",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4",
+  "arguments": {
+    "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a2206b3fc1f819ad62f5d10144df94d8238364ac
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T16:54:18.067458",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4",
+  "arguments": {
+    "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..69e0560e7a03641442cb75168995f4352b7ba52c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:29:43.322897",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4",
+  "arguments": {
+    "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e3526b99a3fed3b238a3793148b4d694aee094d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:00:16.053307",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4",
+  "arguments": {
+    "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a53ae03c2f2be3cae714cbc2d88fb7f4973fa626
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:31:43.962617",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4",
+  "arguments": {
+    "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..935c32f50a7e9d73ac95140a727844744a008091
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:02:15.395603",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4",
+  "arguments": {
+    "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..879e04f1eb870334348c7ecaea0193bd0aeef59d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:33:43.858445",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4",
+  "arguments": {
+    "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e2d3d57f5a9359bef2d92425d9736dc5daadacb
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:04:14.763313",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4",
+  "arguments": {
+    "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c16d88eb9286332f50b3942f778e58a8d9ad918
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:06:14.027234",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4",
+  "arguments": {
+    "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..791c113b7cb5e4a3f10ebc6da5cf2a04f4691344
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:37:41.621660",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4",
+  "arguments": {
+    "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad3bb97a0006f51fd025d255cdad02cbdc6d8186
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:41:39.445385",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4",
+  "arguments": {
+    "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..78fbf762be51ab9cd755210832ca01142d9a6fec
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:14:11.269067",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4",
+  "arguments": {
+    "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..337258de606e887c73e0959ceec65f5caec6a234
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:45:37.289788",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4",
+  "arguments": {
+    "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..02c2668ab3c534a492ccafd34c8fcad4c041feec
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:16:10.418050",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4",
+  "arguments": {
+    "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..26d98242852b8575330f832f9b22ed7cde6ee540
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:18:09.709332",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4",
+  "arguments": {
+    "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..442648fdd41d552b8857483a1fc5473942db371d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:49:35.191454",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4",
+  "arguments": {
+    "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..74fca72dfce77a390266f3a192a61007009f5b5b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:51:34.261615",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4",
+  "arguments": {
+    "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0bd97080dbb1840c623807a4c7cf3abd8a865daf
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:22:08.343497",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4",
+  "arguments": {
+    "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..269b50278bc3487c945aca062a61b9ac0f650fdc
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:55:32.286862",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4",
+  "arguments": {
+    "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..09693c35bcc78772b212c94a10c67ca688e3bc25
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:26:06.946315",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4",
+  "arguments": {
+    "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..74aa3b8e07d89c36ba9edfe6f01ca36680aa9d53
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:28:06.267245",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4",
+  "arguments": {
+    "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8156e0a695bd44a93a87b1cb1f5a67955d2ccbab
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T13:59:33.073899",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4",
+  "arguments": {
+    "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee6a6c29e1cb53f003e8a7d417ed973c75df5738
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:01:33.509090",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4",
+  "arguments": {
+    "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_42_In a bustling public square two individuals engage_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_42_In a bustling public square two individuals engage_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3cf3d23e4a6f323a24efdaa1566bc3cfb8bc3863
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_42_In a bustling public square two individuals engage_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:32:04.928045",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4",
+  "arguments": {
+    "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_930_In a bustling public square two individuals engage_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_930_In a bustling public square two individuals engage_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..38353a364d2cb60872159d600d9b4bae77202eac
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_930_In a bustling public square two individuals engage_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:03:33.519435",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4",
+  "arguments": {
+    "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e785c61a3e9ff2f74e77e3da179ceb8535b701a8
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:05:32.524749",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4",
+  "arguments": {
+    "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3eb04be2372ba79ccb1c44698cd6de6683d0b05
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:36:03.651950",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4",
+  "arguments": {
+    "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..306232c91cc2ef4c03711f1c09e3e4f4447d0fde
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:38:03.014544",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4",
+  "arguments": {
+    "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ce5d64a08247e20144ceb0c00d09dddf5ecab0b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:09:30.673996",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4",
+  "arguments": {
+    "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a408d4906957ad23a80cbeec33cbc10675ecd77b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:40:02.415840",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4",
+  "arguments": {
+    "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e172844793b4b72fc3ccdb056d90890a87d490b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:11:29.755343",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4",
+  "arguments": {
+    "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..71d1ce7797afdf447b8eac3771b20094eb2b706b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:44:01.016267",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4",
+  "arguments": {
+    "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3a3752a90e7c049d18e3c3db91bb442b389ef09b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:15:27.898150",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4",
+  "arguments": {
+    "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e70f5457b207b1870cd6405c11c91ef799d39779
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:46:00.250729",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4",
+  "arguments": {
+    "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bef4da8b7d9bf5c92c9681ec738ae11df835b162
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:17:27.121960",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4",
+  "arguments": {
+    "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6524e822d5f163277a73e05cb2a2882e84d5f8ee
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:47:59.527644",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4",
+  "arguments": {
+    "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..82862fac2eb70ee67965f5aadff16c385877209d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:19:25.929698",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4",
+  "arguments": {
+    "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_42_In a bustling office a group of female employees d_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_42_In a bustling office a group of female employees d_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6a085a517af04ade94ae3742d382a0a6ce4c7e41
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_42_In a bustling office a group of female employees d_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:49:58.761012",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4",
+  "arguments": {
+    "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_930_In a bustling office a group of female employees d_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_930_In a bustling office a group of female employees d_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..82f436598a780d094e3e405e6c258a909b7166bf
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_930_In a bustling office a group of female employees d_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:21:25.054719",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4",
+  "arguments": {
+    "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b428a4811311fd7626055b76a1ef79742316195f
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:23:23.973609",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9983340aa123fd9157c17444438b1fea16d6a44e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:53:57.498338",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3bdb44e515d2de6ee657c4c5e83dc2a21815bb4
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:55:56.701776",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4",
+  "arguments": {
+    "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..46a12f6f8c9f859b23e9cbcf34d3162bf1853c55
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:27:22.186632",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4",
+  "arguments": {
+    "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..66f3b9e03f6cd8a7a3c23cfbda3d02ac9cc246d7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:57:56.123018",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4",
+  "arguments": {
+    "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..31dff2ba2522cdc360ec7a3df36d1ab4e8db806c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T17:59:55.364356",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4",
+  "arguments": {
+    "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..21b80224a36adad17f559331525112b59910a0ad
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:31:20.292134",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4",
+  "arguments": {
+    "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c36877cdec37e45ca0220e45774c3ab3f10ed60b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:33:19.398083",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4",
+  "arguments": {
+    "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c81cb1c09adcc320abdfbb2c02d68ff1f7b6bebf
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:35:18.486651",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4",
+  "arguments": {
+    "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..33d9499c8e278a1daae3d047e0af4d9d19ead196
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:05:55.167095",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4",
+  "arguments": {
+    "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a919f0d46d58daf041bdceba53ba64c1b2d479d5
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:37:17.567885",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4",
+  "arguments": {
+    "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..583b35114f2245801bb662b396c3bd0d2dbdb93d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:39:16.545997",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4",
+  "arguments": {
+    "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3289bb18989da815f118f6dede011400a3e12c3d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:09:53.977142",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4",
+  "arguments": {
+    "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea443197765e2651bf35a425938e407c739d074a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:41:15.683758",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4",
+  "arguments": {
+    "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c37062df0478a4a866271e0b0aacd5f43b96b8c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:11:53.320587",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4",
+  "arguments": {
+    "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..59fb2175a3e114b57b9ca702b32682300cd7bc84
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:43:14.599050",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4",
+  "arguments": {
+    "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c62a4901df03450f2a9e5482d711a257240f9cd9
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:45:14.035038",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4",
+  "arguments": {
+    "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad74926c459047e3bbc188f7806575970f9016d6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:17:51.131910",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4",
+  "arguments": {
+    "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..72e89c62f43eb5fc2ead6151add64cce23bd6e76
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:19:50.657292",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4",
+  "arguments": {
+    "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0dbd8f35c0efdec0eb7104466009f4161ac8701e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:53:12.973521",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4",
+  "arguments": {
+    "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..67406ab9191a4fbe1cfba862460b664b0ab15d1e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:55:12.492486",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4",
+  "arguments": {
+    "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b443b3c300aaadbc205ccee0e0fa665e596da28a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:25:48.459887",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4",
+  "arguments": {
+    "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..718b853a49c0a82565a81457ae9a75c3c3fc30ac
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:57:12.926509",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4",
+  "arguments": {
+    "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a34e04679961bc1e49361ec78cab49b02c4f504
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:27:47.640978",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4",
+  "arguments": {
+    "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3453459e41ac4ab7d01851444f7b69281744fa7c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T14:59:12.076015",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4",
+  "arguments": {
+    "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..422a2904271de16dad9878056459402dd90c1b03
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:29:48.634064",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf8f6cd34dbc7f00c4ff15f474aec10db977060d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:31:48.019988",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4",
+  "arguments": {
+    "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..246128df20ecab497a9f1a3e75ff6423a4633ed9
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:03:10.565773",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4",
+  "arguments": {
+    "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cd611fbdeaa78215d4653de7629afd48bca73296
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:33:47.362198",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4",
+  "arguments": {
+    "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f739081c027e0e6e06709e0b49e9c2f68d061f77
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:05:09.746205",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4",
+  "arguments": {
+    "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6a2350deaf4d359ab1116c5ddc92eefc746c0c3d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:35:46.439698",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4",
+  "arguments": {
+    "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad4af250a7ee93444a6b5bdf3aa71a670c86630e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:37:45.572807",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4",
+  "arguments": {
+    "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8fc27f69f58608a17be0ffb433a72f51cd5b8bb7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:09:08.445745",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4",
+  "arguments": {
+    "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d74344f4306ff504022a100fab2d7d84f1c5bd81
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:11:07.922767",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4",
+  "arguments": {
+    "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a077682c8a90257dc930b7724e7cfbf539e11a6e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:41:44.387644",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4",
+  "arguments": {
+    "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8bb51e8470891ccdb0743d24aa62ed90fd8b7974
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:13:07.370109",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4",
+  "arguments": {
+    "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d833fe2a42364702a985ccfe74644e2777835575
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:43:43.565442",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4",
+  "arguments": {
+    "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6d814bb055d6779911e38c8ff5726a366b35527b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:15:06.874528",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4",
+  "arguments": {
+    "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f273749177751509d5bc0feac153276666c08954
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:45:42.725122",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4",
+  "arguments": {
+    "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e0c1cd8995914ff84613b048d413e7b89b5b450a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:17:06.365298",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4",
+  "arguments": {
+    "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_42_A thrilling first-person perspective races through_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_42_A thrilling first-person perspective races through_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..25dc34ccbb4890530d03e9e4f4f1ddf886f9ff56
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_42_A thrilling first-person perspective races through_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:47:42.504695",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4",
+  "arguments": {
+    "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_930_A thrilling first-person perspective races through_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_930_A thrilling first-person perspective races through_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..897f58aae7320c4ba04c8727e9401e2ab99d28f7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_930_A thrilling first-person perspective races through_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:19:05.565677",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4",
+  "arguments": {
+    "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3f11c00a7a3d946feedd9372a288a3e008110eb
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:21:04.928376",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4",
+  "arguments": {
+    "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa24a315c46bce9b4d2028acd285b5903a424c34
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T18:53:41.515641",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4",
+  "arguments": {
+    "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 42,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f66e80e77eca46020d74fc28ec0e9f7e9c63f650
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:27:05.702858",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4",
+  "arguments": {
+    "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..56728a308ca8b7b8e8807e24ebd6e639ca1ec2f2
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:31:04.239354",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4",
+  "arguments": {
+    "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr_config.json b/outputs/yw004-flow-baseline/validation/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e1a23b29729f5f67bdd6c0a470ec7c7eda9ea6c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T15:33:03.617584",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": null,
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_7272_This cinematic close-up shot focuses on a young ma_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_7272_This cinematic close-up shot focuses on a young ma_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6d771d47d160c6a07419ee7dab80594cbb358dad
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_7272_This cinematic close-up shot focuses on a young ma_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:12:31.683218",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_7272_This cinematic close-up shot focuses on a young ma.mp4",
+  "arguments": {
+    "prompt": "This cinematic close-up shot focuses on a young man with a round, gentle face and dark, neatly combed hair. He is seated at what appears to be a wooden table. The camera is positioned at eye level, creating an intimate and personal perspective. He wears a cozy, brown knit sweater. The scene is bathed in soft, natural light that casts gentle shadows, suggesting a calm afternoon. His full attention is on the task at hand: peeling a vibrant red apple. He holds the apple in his left hand and a small, silver paring knife in his right. With practiced, deliberate movements, he guides the blade just under the skin, carving off a single, unbroken peel that begins to curl downwards. His expression is one of serene focus, his brow slightly furrowed in concentration. The background is softly out of focus, hinting at a simple, rustic kitchen setting, ensuring the viewer's attention remains on the man and the simple, satisfying act of peeling the apple.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 7272,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_7272_This cinematic close-up shot focuses on a young ma.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_930_A crystal-clear glass ball begins its journey acro_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_930_A crystal-clear glass ball begins its journey acro_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c2007fba6264567e160a3cf32c934d54503184c7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_930_A crystal-clear glass ball begins its journey acro_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:35:09.790380",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4",
+  "arguments": {
+    "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_862_The scene opens on a tranquil sun-drenched meadow_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_862_The scene opens on a tranquil sun-drenched meadow_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb5732b2d6e3ece4c979ff1c8b34db0c853a6b4d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_862_The scene opens on a tranquil sun-drenched meadow_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:14:30.232410",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_862_The scene opens on a tranquil sun-drenched meadow.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a tranquil, sun-drenched meadow in the late afternoon. An eye-level full shot frames Isaac Newton, a man with long hair dressed in simple 17th-century clothing, sitting at the base of a large, gnarled apple tree. He leans against the trunk, positioned according to the rule of thirds, creating a sense of balance and space. Dappled sunlight streams through the leafy canopy, casting soft, moving shadows on the ground. Newton is completely absorbed in thought, his gaze distant and unfocused. A gentle breeze rustles the leaves. High above him, a ripe red apple loosens from its stem. It drops silently at first, then lands with a distinct 'thump' on top of Newton's head. He flinches, startled out of his deep thoughts, and instinctively raises a hand to the point of impact. His eyes dart upwards towards the branches, then scan the ground around him. He spots the offending red apple lying in the grass. His initial annoyance gives way to curiosity as he reaches down, picks it up, and holds it in his palm. He turns it over, examining it, and his expression slowly transforms into one of profound, dawning realization, the genesis of a revolutionary idea.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 862,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_862_The scene opens on a tranquil sun-drenched meadow.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_930_A polished metal ball gleaming under soft ambient_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_930_A polished metal ball gleaming under soft ambient_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd10eabb1148da87e5b997be084e04d4b01406ff
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_930_A polished metal ball gleaming under soft ambient_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:37:10.454560",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_930_A polished metal ball gleaming under soft ambient.mp4",
+  "arguments": {
+    "prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_001_seed_930_A polished metal ball gleaming under soft ambient.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_5392_The scene opens on a tight eye-level close-up of a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_5392_The scene opens on a tight eye-level close-up of a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9f43ca1e9664d498394e71b872e707ac29de8b78
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_5392_The scene opens on a tight eye-level close-up of a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:16:29.084614",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_5392_The scene opens on a tight eye-level close-up of a.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a tight, eye-level close-up of an older, white-haired chef in a professional kitchen. His face, etched with lines of fatigue, is illuminated by a single source of side lighting, casting deep shadows that accentuate his somber mood. He is wearing a traditional white chef's jacket, slightly unbuttoned at the collar. In his right hand, he holds a stainless steel tasting spoon containing a small amount of a dark sauce. He brings the spoon to his mouth, his movements deliberate and practiced. He closes his eyes as he tastes the contents, his brow furrowing slightly. A moment of stillness hangs in the air before his expression shifts to one of clear, deep-seated disappointment. His lips press into a thin line. He lowers the spoon, his gaze directed downwards and off-camera, as if lost in thought. He then begins to shake his head slowly and deliberately from side to side, a non-verbal confirmation that the dish is not right. The background is a soft-focus blur of a sterile, industrial kitchen environment, with the metallic sheen of stainless steel surfaces and the dark shapes of hanging pots and pans barely discernible, isolating the chef in his moment of quiet professional grief.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5392,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_5392_The scene opens on a tight eye-level close-up of a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..484472453c30551116cb1dfdc421d27158c6fafc
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:39:10.213008",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4",
+  "arguments": {
+    "prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_5193_The scene opens on a tight close-up of a blond man_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_5193_The scene opens on a tight close-up of a blond man_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..37a9280347a29f035ff2f6a03e8010e0eb41eeb3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_5193_The scene opens on a tight close-up of a blond man_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:18:27.877339",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_5193_The scene opens on a tight close-up of a blond man.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a tight close-up of a blond man in his late 30s, his face partially illuminated by a single, harsh light source from the right, creating a dramatic chiaroscuro effect. The background is a dark, indistinct blur, suggesting a private study or office at night. Initially, his expression is neutral, perhaps listening to something off-screen. A subtle flicker of understanding crosses his features, followed by a wave of disbelief. His blue eyes widen for a moment, and his brow furrows. Then, the transformation begins. His skin seems to pale, taking on a livid, almost greyish hue under the cool light. His nostrils flare, and he draws a sharp, silent breath. His jaw clenches so tightly that a muscle bulges along his cheek. His gaze becomes a hard, piercing stare, fixed on an unseen point. His hands, which were out of frame, slowly rise into view. We see the fingers curl inward, one by one, until both hands are balled into powerful, white-knuckled fists. The veins on the back of his hands stand out, and the fists tremble with suppressed rage. He remains frozen in this state of potent, silent fury, a portrait of anger about to boil over.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5193,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_5193_The scene opens on a tight close-up of a blond man.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_930_A couple strolls hand in hand down a bustling city_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_930_A couple strolls hand in hand down a bustling city_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9201f3a7add6428bc0ffb60bba4ce2665a9edde7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_930_A couple strolls hand in hand down a bustling city_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:41:09.768752",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_930_A couple strolls hand in hand down a bustling city.mp4",
+  "arguments": {
+    "prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_003_seed_930_A couple strolls hand in hand down a bustling city.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b102662b105b559fb88c4fac00bfc51b498118a5
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:20:26.545953",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium, eye-level shot of three young women seated at a dining table, their forms and the environment rendered in a soft, flowing watercolor style. The woman on the left, with blonde hair tied back, wears a cream-colored sweater. In the center, a woman with dark, curly hair in a blush pink top smiles warmly. On the right, a woman with auburn hair in a terracotta dress initiates the toast. The table is adorned with simple white plates and silverware, with the focus being on three elegant glasses filled with a rich, crimson red wine. The woman on the right gracefully picks up her glass first. Following her lead, the woman in the center and then the woman on the left pick up their glasses. Their painted faces are filled with genuine joy and affection. They bring their glasses together over the center of the table, the light catching the deep red of the wine. The moment before the glasses clink is held, capturing the peak of their shared celebratory spirit. The background is a gentle wash of warm, indistinct colors, suggesting a cozy interior without distracting from the central, heartfelt action.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5736,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_5736_The scene opens on a medium eye-level shot of thre.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..82fa14fed9164262c514113ec46df9ee7e4473c5
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:43:09.327045",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4",
+  "arguments": {
+    "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_6267_The scene opens with a medium shot of an elderly w_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_6267_The scene opens with a medium shot of an elderly w_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8164e9090805856f46de9d6c10b2e3ba2be47683
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_6267_The scene opens with a medium shot of an elderly w_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:22:25.317741",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_6267_The scene opens with a medium shot of an elderly w.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a medium shot of an elderly woman, appearing to be in her 80s, seated on a simple wooden stool in a public park. She has fine, silver hair neatly tied back and wears a traditional, dark-colored tunic with intricate embroidery at the collar. Her eyes are gently closed as she focuses on her music. In her hands, she holds a polished, dark wood erhu. Her left hand delicately presses the strings, her fingers moving with practiced grace, while her right hand draws the bow smoothly across them, producing a soulful, resonant melody. She hums softly, a low, gentle sound that harmonizes perfectly with the instrument's voice. A diverse crowd of onlookers, ranging from young adults to other seniors, has formed a respectful semi-circle around her. Some watch with rapt attention, their expressions contemplative. A young woman can be seen subtly recording on her phone, while an older man nods his head slowly to the rhythm. The park setting is serene, with large, mature trees whose leaves create a soft, dappled canopy. The light is diffused, characteristic of an overcast day, which lends a moody and introspective quality to the entire scene. The focus remains tightly on the woman, a figure of serene artistry amidst the quiet reverence of her audience.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6267,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_6267_The scene opens with a medium shot of an elderly w.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_930_The video begins with a rapid zoom towards a vibra_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_930_The video begins with a rapid zoom towards a vibra_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8547790e95d8b5c109c0f08badc9266a5805dd0e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_930_The video begins with a rapid zoom towards a vibra_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:45:08.792131",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4",
+  "arguments": {
+    "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_468_The scene is a tight close-up rendered in a style_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_468_The scene is a tight close-up rendered in a style_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4de4fbed91b5165485ee2786f7aaea5a027c204
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_468_The scene is a tight close-up rendered in a style_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:24:24.019810",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_468_The scene is a tight close-up rendered in a style.mp4",
+  "arguments": {
+    "prompt": "The scene is a tight close-up, rendered in a style reminiscent of a Da Vinci painting with its dramatic use of light and shadow. A petite woman is concealed within the suffocating confines of a dark closet. The composition adheres to the rule of thirds, placing her terrified face off-center. The only illumination is a stark, vertical sliver of light piercing the darkness from a door that is barely ajar. This side light carves her features out of the gloom, highlighting the sheen of tears in her wide-open eyes, the pale skin of her cheek, and the white knuckles of the hand she has clamped desperately over her mouth. Her body trembles violently and uncontrollably, a physical manifestation of her terror. She is trying to stifle any sound, her chest rising and falling in shallow, ragged breaths. The surrounding space is an abyss of black, with the faint outlines of hanging clothes creating a sense of being buried. The atmosphere is thick with dread and unbearable suspense, focusing entirely on her silent, petrified state.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 468,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_468_The scene is a tight close-up rendered in a style.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..857af373092ea5ff45ccc552c000ff523a1325b1
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:47:08.335641",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4",
+  "arguments": {
+    "prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..affb3ed94aa6272280ee45a363c20679b565e7e2
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:26:22.817957",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a medium shot of a cozy, slightly cluttered living room, bathed in the warm glow of late afternoon sun filtering through a window on the right. A middle-aged, plump man with thinning brown hair enters from the left side of the frame. He is dressed casually in a green and blue plaid button-up shirt and dark jeans, and he has a weary expression on his face. He walks towards a large, overstuffed couch with a faded, brown floral pattern. In front of the couch sits a low wooden coffee table with a stack of magazines. The man turns and lowers himself onto the couch with a tired sigh. The camera maintains an eye-level perspective, emphasizing the dramatic sinking of the well-worn cushions as they slowly give way under his substantial weight. The fabric strains and creases around him. He shifts his body slightly, finding a comfortable position before leaning his head back against the top of the sofa and closing his eyes, finally at rest.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 4428,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_4428_The scene opens with a medium shot of a cozy sligh.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_930_A sleek black car glides smoothly along a winding_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_930_A sleek black car glides smoothly along a winding_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..84d0fdceec37960bd0a735cd22b0e170ed4ba882
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_930_A sleek black car glides smoothly along a winding_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:49:07.892570",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_930_A sleek black car glides smoothly along a winding.mp4",
+  "arguments": {
+    "prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_007_seed_930_A sleek black car glides smoothly along a winding.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_5580_The scene opens on a medium long shot capturing th_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_5580_The scene opens on a medium long shot capturing th_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..876b731fb5a6bf76db6ec6b9070f15e1351730c6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_5580_The scene opens on a medium long shot capturing th_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:28:21.626781",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_5580_The scene opens on a medium long shot capturing th.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium long shot, capturing the full form of a graceful, fair-skinned European rhythmic gymnast in the center of a competition floor. She is illuminated by a powerful, bright spotlight that makes her sparkling, royal blue leotard glitter. Her blonde hair is tied back in a neat bun. In her hands, she expertly manipulates a long, shimmering silver ribbon, which swirls and dances around her in intricate, flowing patterns as she moves. She executes a series of complex maneuvers, including a high, arching leap followed by a perfectly controlled spin, her body a picture of elegance and strength. The camera, positioned at a slightly low angle, emphasizes the height of her jumps and the grandeur of her performance. The background is dark, but filled with the blurred shapes of a massive, seated audience. The sound of their thunderous applause and enthusiastic cheers is constant, underscoring the excitement of the event. The atmosphere is electric and triumphant, celebrating the athlete's incredible skill and artistry.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5580,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_5580_The scene opens on a medium long shot capturing th.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_930_From a high vantage point the camera captures a bu_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_930_From a high vantage point the camera captures a bu_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3818ca9ee367da3d87e09db4398b618a0a9a85b6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_930_From a high vantage point the camera captures a bu_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:51:07.449122",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_930_From a high vantage point the camera captures a bu.mp4",
+  "arguments": {
+    "prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_008_seed_930_From a high vantage point the camera captures a bu.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_8324_The scene opens with a stunning wide shot filmed i_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_8324_The scene opens with a stunning wide shot filmed i_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ceff94fede1b1fb7413ca9fe4eecf62cb36c3081
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_8324_The scene opens with a stunning wide shot filmed i_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:30:20.371160",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_8324_The scene opens with a stunning wide shot filmed i.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a stunning wide shot, filmed in slow motion from a low angle. Five children, a diverse group of boys and girls aged between six and ten, are running exuberantly across a vast field. The field is filled with tall, golden-yellow grass that sways gently in the breeze and reaches their waists. It's the golden hour, and the setting sun, positioned behind the children, creates a brilliant backlight. This light forms a radiant halo around their hair and outlines their bodies, separating them from the lush background. Dust motes and pollen kicked up by their running feet dance and sparkle in the sunbeams. The children are spread out, yet moving together as a group from right to left across the frame. Their faces are alight with pure joy; mouths are open in laughter, and their eyes are bright with excitement. One girl with long blonde pigtails leads the pack, looking back over her shoulder with a wide grin. A boy in a red t-shirt leaps playfully into the air. The slow-motion effect accentuates every detail: the bounce of their hair, the flowing fabric of their clothes, and the effortless grace of their youthful movements. The sky above is a soft, clear blue, providing a cool contrast to the warm tones of the field below. The atmosphere is overwhelmingly joyful, nostalgic, and evocative of the perfect, endless days of summer childhood.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 8324,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_8324_The scene opens with a stunning wide shot filmed i.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_930_From a high vantage point the bustling street belo_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_930_From a high vantage point the bustling street belo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c87181c651881d9c7630e6cd222ee1f862a67c6a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_930_From a high vantage point the bustling street belo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:53:07.023586",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_930_From a high vantage point the bustling street belo.mp4",
+  "arguments": {
+    "prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_009_seed_930_From a high vantage point the bustling street belo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a7e110f49efddf3fc7e452f8dce71b3668009a6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:32:19.343575",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi.mp4",
+  "arguments": {
+    "prompt": "The scene is captured in a dramatic low-angle medium shot, amplifying the scale and danger of the stunt. On a completely dark stage, the only source of light is a large metal ring, fiercely ablaze with vibrant orange and yellow flames that lick and dance into the darkness. A bare-chested Asian man, his muscles taut with concentration, stands poised a few feet from the fiery obstacle. He takes a deep breath, his eyes locked on the opening. With a powerful burst of energy, he sprints forward. He launches himself into the air, tucking his legs and arms close to his body to navigate the narrow, burning passage. For a split second, he is perfectly framed within the circle of fire, a silhouette against the inferno. The intense light casts flickering shadows and highlights across his skin and simple dark pants. He passes through the ring cleanly and lands gracefully on the other side, rolling to absorb the impact before rising to his feet. The background remains an abyss of black, isolating the raw, thrilling spectacle of man versus fire. The atmosphere is thick with tension and awe at the display of courage and physical control.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 1687,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_1687_The scene is captured in a dramatic low-angle medi.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_930_From a high vantage point the camera captures a bu_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_930_From a high vantage point the camera captures a bu_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..abd1c1c1b42352b6a4ecda015426b7a7dc1df984
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_930_From a high vantage point the camera captures a bu_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:55:06.854839",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4",
+  "arguments": {
+    "prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_771_The scene is set in a bustling sun-drenched town s_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_771_The scene is set in a bustling sun-drenched town s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b978913204b8757d64b1e0791827ffe29d7476ab
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_771_The scene is set in a bustling sun-drenched town s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:34:18.431840",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_771_The scene is set in a bustling sun-drenched town s.mp4",
+  "arguments": {
+    "prompt": "The scene is set in a bustling, sun-drenched town square with historic buildings in the background. A wide, eye-level shot captures an elderly man pushing a tandem wheelchair, in which his wife is seated comfortably. They move across the cobblestone plaza, their expressions content. The entire scene is rendered in sharp focus, highlighting the textures of the environment and the details of the people. As they proceed, they come across three other elderly couples who appear to be old friends. A moment of joyful recognition passes between them. The man stops the wheelchair, and the groups merge. Smiles, waves, and cheerful chatter fill the air as they reunite, creating a lively and heartwarming tableau of enduring companionship and community in their golden years. The camera remains static, allowing the natural, happy interaction to unfold within the frame.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 771,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_771_The scene is set in a bustling sun-drenched town s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_930_A poised model stands gracefully in a vibrant red_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_930_A poised model stands gracefully in a vibrant red_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b3b4ace03625f0d99c435efdc71f664557a1e49
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_930_A poised model stands gracefully in a vibrant red_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:57:07.549399",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4",
+  "arguments": {
+    "prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_6951_The frame is filled entirely by the face of a fema_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_6951_The frame is filled entirely by the face of a fema_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..deca49ca4275952a6cd9bf18f327a6934b3c47a5
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_6951_The frame is filled entirely by the face of a fema_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:36:17.533025",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_6951_The frame is filled entirely by the face of a fema.mp4",
+  "arguments": {
+    "prompt": "The frame is filled entirely by the face of a female tourist in extreme distress. The shot is an unflinching extreme close-up at eye level, creating an intimate and unsettling connection with her struggle. She is breathing from a transparent oxygen mask strapped tightly to her face. Her lips, the focal point of the shot, are a deathly shade of blue-grey, a clear sign of cyanosis. They are painfully chapped, with dry skin peeling away, evidence of severe dehydration and exposure to harsh elements. With each ragged inhalation, her nostrils flare wide, the muscles in her face tensing with the sheer effort of drawing air into her lungs. A fine layer of frost and tiny ice crystals can be seen on her eyebrows and the wisps of hair escaping her fur-lined hood. The overcast natural light is stark and unforgiving, highlighting every raw texture on her skin and casting subtle, cold shadows. The background is a complete blur of white and grey, suggesting a snow-swept, high-altitude location without offering any distracting details. The only movement is the rhythmic, desperate pulse of her breathing.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6951,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_6951_The frame is filled entirely by the face of a fema.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_930_A stylish model stands confidently in front of a m_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_930_A stylish model stands confidently in front of a m_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..28d5600b0180af5986827339a8da0e69e24d002f
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_930_A stylish model stands confidently in front of a m_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T19:59:07.134558",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4",
+  "arguments": {
+    "prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e54c130e090c13eb056b69f1ca7dc3a2a8b574fe
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:38:17.469629",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a bright, sunny day in a lush green backyard. A small boy, around six years old with tousled blond hair, is the central focus. He is dressed in a vibrant red short-sleeved t-shirt and blue denim shorts. In front of him, on the manicured lawn, sits a tall, slightly wobbly tower constructed from colorful wooden blocks of various shapes and sizes—red, blue, yellow, and green. The camera, positioned at a low angle, captures the boy as he takes a small step back to admire his handiwork. He plants his feet firmly apart, straightens his back, and places both hands squarely on his hips in a classic pose of accomplishment. His chest puffs out with pride. After a moment of contemplation, his face breaks into a huge, infectious smile, his eyes crinkling at the corners. The smile is pure, unadulterated joy and pride. The bright, natural sunlight casts a warm glow over the entire scene, creating a soft lens flare and making the colors pop. The background is slightly blurred, keeping the focus entirely on the boy and his triumphant moment.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2435,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_2435_The scene opens on a bright sunny day in a lush gr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_930_A static camera captures a model standing confiden_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_930_A static camera captures a model standing confiden_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..db04c6eb9571b3b5ee4fdfd96fadc4f2cee513bc
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_930_A static camera captures a model standing confiden_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:01:06.684525",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_930_A static camera captures a model standing confiden.mp4",
+  "arguments": {
+    "prompt": "A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_013_seed_930_A static camera captures a model standing confiden.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_5313_The shot opens with an extreme close-up top-down v_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_5313_The shot opens with an extreme close-up top-down v_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c87d0200e0fb5352e0a45db01b3490c3187bf603
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_5313_The shot opens with an extreme close-up top-down v_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:40:16.653564",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_5313_The shot opens with an extreme close-up top-down v.mp4",
+  "arguments": {
+    "prompt": "The shot opens with an extreme close-up, top-down view of the back of a human hand resting on a flat, neutral gray surface. A significant, fresh laceration is centered in the frame, its edges raw and red, with a slight glistening of blood. The surrounding skin is pale. The time-lapse sequence begins, and the visual transformation is immediate and dramatic. The raw edges of the wound visibly contract, pulling towards each other as if drawn by an invisible thread. The deep red color darkens as a scab rapidly forms over the cut, a process that happens in a blur of motion. Almost as soon as it appears, the dark scab begins to shrink and flake away, revealing a layer of new, pink, and delicate skin underneath. This new tissue quickly matures, its color evening out and blending seamlessly with the surrounding skin tone. The fine lines and texture of the skin reappear over the healed area. The entire healing cycle completes in a matter of seconds, leaving the hand looking perfectly smooth and unscarred, as if the injury never occurred. The lighting remains constant and clinical throughout, highlighting every detail of the accelerated biological process.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5313,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_5313_The shot opens with an extreme close-up top-down v.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2b5aaf1aa65cf6e74362433651a1bef5407e0363
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:03:06.243631",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4",
+  "arguments": {
+    "prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..434fc15caf7480d393dfa8d9e68107881f07fcc6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:42:15.543487",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a sweeping wide shot, composed according to the rule of thirds, with an elderly Chinese man positioned on the right side of the frame. He stands on an ancient, weathered stone path that meanders through a landscape of rolling hills shrouded in a thick, soft mist. The man has a deeply wrinkled face and a long, flowing white beard that reaches his chest. He wears a simple, coarse-spun brown robe and a traditional conical bamboo hat that casts a gentle shadow over his features. In his left hand, he grips a gnarled wooden cane, its surface polished smooth from years of use, providing him with stability. His entire focus is on his right hand, which is held up near his face. His brow is furrowed in concentration as his thumb methodically touches different segments of his fingers in a complex, silent calculation. The environment is lit by a diffused, natural light coming from the side, which catches the airborne mist and softly illuminates the contours of his robe and the sparse, gnarled trees dotting the background. The atmosphere is one of profound peace and deep contemplation, as if the man is solving a timeless riddle alone in nature.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 5053,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_5053_The scene opens on a sweeping wide shot composed a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_930_A man in a sleek black suit and polished shoes sta_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_930_A man in a sleek black suit and polished shoes sta_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..83a0378b0d942c6da7b6e39e845c84f4ed316947
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_930_A man in a sleek black suit and polished shoes sta_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:05:05.809666",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4",
+  "arguments": {
+    "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..603b304d27cb9ec2b0fb7f2d67c7ebb48e2f5833
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:44:14.318251",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a low-angle, full shot of a woman with dark, flowing hair, wearing a striking, floor-length scarlet red dress. She is strolling leisurely from right to left along a winding cobblestone path in a magnificent, verdant garden. The garden is in full bloom, with an array of colorful flowers like deep pink roses and tall, yellow sunflowers flanking the path. The camera is positioned low to the ground, making the flowers in the foreground appear large and immersive, framing the woman majestically. It's the golden hour; the setting sun is out of frame but casts long shadows and bathes the scene in a warm, golden light. This backlights the woman, creating a soft, ethereal glow around her silhouette and illuminating the delicate fabric of her dress. As she walks, she gently brushes her fingertips against the petals of a rose. The camera pans smoothly, following her elegant and unhurried pace. The background consists of tall green hedges and a soft-focus view of the sky, painted with hues of orange and pink.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6422,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_6422_The scene opens with a low-angle full shot of a wo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_930_A man in a sleek black tracksuit stands poised on_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_930_A man in a sleek black tracksuit stands poised on_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d57e8ff2417567462ac78af9428626d5ef276a7a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_930_A man in a sleek black tracksuit stands poised on_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:07:05.329230",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4",
+  "arguments": {
+    "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_1186_From a high-angle perspective the entirety of a pr_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_1186_From a high-angle perspective the entirety of a pr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..87d8906896d6c9e2ed63fba7ec1156a845c43a95
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_1186_From a high-angle perspective the entirety of a pr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:46:14.291467",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_1186_From a high-angle perspective the entirety of a pr.mp4",
+  "arguments": {
+    "prompt": "From a high-angle perspective, the entirety of a professional-grade, vibrant green tennis court is visible under a brilliant, cloudless blue sky. In the foreground, a man with short dark hair, dressed in a white polo shirt and blue shorts, is captured mid-motion. He has just completed a powerful forehand stroke, his body extended and his focus locked on the ball. The tennis racket is a blur of motion in his right hand. Across the net, in the background, his opponent, a blond man in a red shirt and white shorts, is already reacting. He is crouched low, his knees bent, moving swiftly to his left to intercept the fast-approaching yellow tennis ball. The white lines of the court stand out starkly against the green surface, and the net casts a faint, sharp shadow. The surrounding area includes a high chain-link fence, and beyond it, some out-of-focus green trees suggest a park or sports complex setting. The rally is fast and intense, a testament to the players' skill and athleticism, creating a palpable atmosphere of competition and focus.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 1186,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_1186_From a high-angle perspective the entirety of a pr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_930_A charming little girl wearing a bright yellow rai_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_930_A charming little girl wearing a bright yellow rai_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c5180ed9e4d1e0a72f68e010aa4ba9035aee6c16
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_930_A charming little girl wearing a bright yellow rai_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:09:05.046840",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4",
+  "arguments": {
+    "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_4557_The scene opens on a wide low-angle shot within a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_4557_The scene opens on a wide low-angle shot within a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dea87d3e4b3328b5797108e00e316ffcead88d63
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_4557_The scene opens on a wide low-angle shot within a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:48:13.031142",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_4557_The scene opens on a wide low-angle shot within a.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a wide, low-angle shot within a sprawling, sunlit temple courtyard paved with ancient stones. In the lower third of the frame, a group of three tourists comes to a halt. The group consists of an older Caucasian man with a camera around his neck, a middle-aged Asian woman in a sun hat, and a young man wearing a backpack. They are initially looking at their surroundings, a low murmur of conversation between them. The woman points upwards, and as one, they slowly begin to tilt their heads back. The camera follows their gaze, panning vertically up the massive, weathered bronze statue of Confucius that dominates the frame. The statue is depicted in a thoughtful pose, one hand stroking a long beard, its robes intricately detailed. The sunlight glints off the bronze, creating highlights and deep shadows that accentuate its aged texture. The tourists' faces, now fully visible, are filled with a silent, shared awe. The older man's mouth is slightly agape, while the woman has a hand to her chest. The young man simply stares, captivated. The background features the ornate, curved eaves of a traditional temple building against a brilliant, clear blue sky.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 4557,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_4557_The scene opens on a wide low-angle shot within a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_930_A charming little girl wearing a bright yellow rai_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_930_A charming little girl wearing a bright yellow rai_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..197deda6c275c26be046ab3c8e3f13494f3a39d8
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_930_A charming little girl wearing a bright yellow rai_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:11:04.752949",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4",
+  "arguments": {
+    "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_3387_The scene opens on a medium shot from a slightly h_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_3387_The scene opens on a medium shot from a slightly h_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..44d7f669be9b86196d26b6dc409d2da5d76e7881
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_3387_The scene opens on a medium shot from a slightly h_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:50:11.677776",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_3387_The scene opens on a medium shot from a slightly h.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium shot from a slightly high angle, focusing on a man in his late 50s seated in a faded, brown armchair. The room is steeped in a quiet, melancholic atmosphere, illuminated only by the soft, fading natural light from a single window off-screen. The man, with short, salt-and-pepper hair and a weary expression, is hunched forward, his shoulders slumped in a posture of defeat. He is dressed in a simple, dark gray knitted sweater. In his hands, he holds a large, crinkled newspaper. He isn't actively reading; instead, his fingers absently turn the large pages, the rustling sound being the only noise in the otherwise silent room. His gaze is distant, looking down at the paper but seemingly through it. He flips a page, lets it settle, pauses for a long moment, and then repeats the action without any change in his somber expression. The composition places him on the right third of the frame, leaving empty space to his left, which amplifies his isolation. The background is softly out of focus, showing a plain wall with a single, framed picture hanging crookedly, and the corner of a wooden side table with a cold cup of tea on it. The muted color palette of blues, grays, and browns, combined with the soft lighting, creates a poignant and deeply sorrowful mood.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 3387,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_3387_The scene opens on a medium shot from a slightly h.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_930_A static camera captures a charming scene of a lit_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_930_A static camera captures a charming scene of a lit_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3a958d5955325e8b8a8c54a796c66f9961e671b3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_930_A static camera captures a charming scene of a lit_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:13:04.343229",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4",
+  "arguments": {
+    "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..26390a586a42148ca923a39fc57f492bd5d9d056
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:52:10.339267",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a wide, eye-level shot capturing an old, weathered stone bridge arching over a calm, slow-moving river. It's late autumn, and the trees lining the riverbank have shed most of their leaves, their bare branches stark against the pale, overcast sky. Positioned on the right third of the frame, two young women stand close together, leaning on the thick stone parapet. The first woman, with dark hair stirred by a gentle breeze, wears a long, dark coat. Her focus is entirely on the water's gentle current. Beside her, the second woman, in a gray knitted beanie and a lighter jacket, stares into the distance, her expression lost in thought. The natural, soft light of the afternoon casts no harsh shadows, bathing the scene in a cool, somber tone. The color palette is dominated by muted blues from the water and sky, and the earthy grays and browns of the stone and landscape. They remain silent, their shared stillness and the quiet flow of the river creating a powerful, sorrowful atmosphere of shared grief or deep reflection.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 6398,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_6398_The scene opens on a wide eye-level shot capturing.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..492f5ca609f0f5f842e45861cd3ac54107fd0679
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:15:03.787064",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4",
+  "arguments": {
+    "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1fc8a6dedf95e02049570c0ce37c6f7f9862e5dc
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:54:08.981436",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid.mp4",
+  "arguments": {
+    "prompt": "The scene is captured from a dynamic low-angle, wide shot, immersing the viewer in the world of eight young children playing in a sun-drenched park. Each child wears an identical, vibrant red hat, creating a striking visual unity against the backdrop of a verdant green lawn and a clear blue sky. They are deeply engrossed in building with a large collection of colorful wooden blocks. The low viewpoint makes their small figures seem heroic and their block structures appear like a miniature city skyline. In the center of the frame, a few children work together, carefully stacking blocks to create a tall tower. To the side, others are building lower, house-like structures. Their faces show a mixture of intense concentration and pure joy. The natural sunlight is bright and warm, casting soft shadows and highlighting the vivid colors of the blocks and the children's clothing. The atmosphere is one of innocent creativity, collaboration, and playful happiness, set within an idyllic park environment.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 8668,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_8668_The scene is captured from a dynamic low-angle wid.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..04f8e03f2bf7bb8feb4b37fef60a347337243279
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:17:03.332843",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4",
+  "arguments": {
+    "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_9276_The scene opens with a high-angle close-up shot fo_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_9276_The scene opens with a high-angle close-up shot fo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b04e98ba12a3c11c869ed5c8a7b0533afc399c82
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_9276_The scene opens with a high-angle close-up shot fo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:56:07.849354",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_9276_The scene opens with a high-angle close-up shot fo.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a high-angle, close-up shot, focusing intently on the cupped hands of a young, bald boy kneeling at the edge of a tranquil garden pond. The water is crystal clear, revealing smooth stones at the bottom. Inside his hands, cradled in a small pool of water, is a vibrant red koi fish, its scales shimmering in the soft, natural light that filters through the leaves of an unseen tree. The boy's fingers are gentle, holding the fish securely but without pressure. His face is out of focus in the background, but his posture suggests deep concentration and care. He slowly and deliberately lowers his hands, breaking the still surface of the pond. Water ripples outwards in concentric circles. For a brief moment, the koi remains in his open palms just below the surface before it senses its freedom. With a graceful flick of its tail, the fish propels itself forward, a flash of crimson disappearing into the murky green depths of the pond. The boy keeps his hands submerged for a second longer, watching it go, before slowly withdrawing them. Droplets of water fall from his fingertips back into the pond.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 9276,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_9276_The scene opens with a high-angle close-up shot fo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_930_A close-up view reveals an elegantly set restauran_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_930_A close-up view reveals an elegantly set restauran_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5098dc203b536a78d98b4746b2f6ebd319ca22f7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_930_A close-up view reveals an elegantly set restauran_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:19:02.930653",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4",
+  "arguments": {
+    "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..11112563231d6f8a20ee5b45db2cefd35c54a623
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T22:58:06.461828",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a high-angle wide shot of a vast, untouched snowy landscape under a pale, late-afternoon sky. A solitary figure, a beautiful Chinese woman, stands in the lower right third of the frame. She has long, flowing black hair that contrasts sharply with the white snow. She is elegantly dressed, wearing a full-length, dark brown fur coat over a form-fitting black knit dress and impractical high-heeled boots. Large, dark sunglasses obscure her eyes, making her expression unreadable. The natural light is soft and cool, casting long, blue shadows across the snow. After a moment of stillness, she begins to move with a slow, almost ceremonial grace. She bends her knees, lowering her body towards the ground. Her movements are fluid and deliberate as she lies back, her fur coat spreading around her like a dark halo against the pristine white. She comes to rest fully on her back, her arms falling limply to her sides, her head turned slightly to the side. The camera holds on this image: a stark, beautiful, and poignant tableau of luxury and vulnerability against the unforgiving cold of nature.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2560,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_2560_The scene opens with a high-angle wide shot of a v.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2a62b7e9201c7374d21bdbd3af435a25ae3ba3b6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:21:02.447321",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4",
+  "arguments": {
+    "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_7851_The scene opens with a medium close-up on a man in_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_7851_The scene opens with a medium close-up on a man in_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..90b9454342a4a2876000d1af6398a1a91d6e343b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_7851_The scene opens with a medium close-up on a man in_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:00:05.124685",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_7851_The scene opens with a medium close-up on a man in.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a medium close-up on a man in his late forties, his face framed by a thick, unkempt beard. He is seated in what appears to be a dark study, though the background is mostly lost to shadow. The shot is rendered in a stark, high-contrast monochrome, reminiscent of film noir. A single, harsh key light illuminates the right side of his face, casting the left side in deep shadow and accentuating the sweat on his brow and the frantic look in his eyes. He is wearing a dark, woolen sweater. In his hands, he clutches a thick, hardbound book. His knuckles are white. For a moment, he stares down at the book, his chest heaving with ragged breaths. Then, with a sudden, explosive movement, he lets out a silent scream of pure rage and begins to tear at the cover. The sound of ripping cardboard and paper fills the silence. He savagely pulls the spine from the binding, then begins ripping out handfuls of pages, his movements frantic and uncontrolled. The white pages flutter down around him, stark against the surrounding darkness. He doesn't stop until the book is completely destroyed, a mangled ruin of paper and glue in his trembling hands. He then lets the remnants fall from his grasp, his head slumping forward in exhaustion and despair.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 7851,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_7851_The scene opens with a medium close-up on a man in.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e72ea09fbe9ed2a4d190475dfa99f604716fc8a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:23:02.158565",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4",
+  "arguments": {
+    "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ee9f142308210c70d100b21615c62a444f856c0
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:02:03.765689",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a wide shot of a meticulously crafted claymation garden under a bright, sunny sky. The garden is a tapestry of vibrant colors, with lush green grass, a winding grey stone path, and oversized, whimsical flowers in pastel pinks, purples, and blues. A small clay figure of a little girl enters the frame from the right. She has brown pigtails tied with blue ribbons and is wearing a cheerful bright yellow dress. In her left hand, she clutches the red handle of a colorful, striped handbag. With a joyful expression on her face, she begins to skip along the stone path, moving from right to left across the screen. Her skipping motion is charmingly imperfect, a hallmark of stop-motion animation, with each frame capturing a distinct pose. As she skips, she swings the handbag back and forth in rhythm with her steps. In the background, a small clay butterfly with orange wings flutters near a large pink flower. The entire scene is bathed in soft, warm light, creating a gentle and heartwarming atmosphere of childhood innocence and wonder. The girl continues skipping until she exits the frame on the left.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2049,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_2049_The scene opens on a wide shot of a meticulously c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_930_In a sun-drenched backyard a lively group of frien_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_930_In a sun-drenched backyard a lively group of frien_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5b23e8870261dbe521ef8bc314bc968c8cbdf6e0
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_930_In a sun-drenched backyard a lively group of frien_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:25:01.744497",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4",
+  "arguments": {
+    "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_2749_An eye-level medium-wide shot captures a moment of_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_2749_An eye-level medium-wide shot captures a moment of_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0dc0a2c43d72fcef16d04fc272872d55f4ef31d3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_2749_An eye-level medium-wide shot captures a moment of_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:04:02.543131",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_2749_An eye-level medium-wide shot captures a moment of.mp4",
+  "arguments": {
+    "prompt": "An eye-level, medium-wide shot captures a moment of serene harmony in a quiet park at dusk. A middle-aged Caucasian man and an Asian woman are practicing yoga together on the lush green grass. The setting sun, low on the horizon, bathes the scene in a warm, golden light, backlighting the pair and casting long shadows. They are positioned symmetrically, mirroring each other in the Warrior II (Virabhadrasana II) pose. The man, on the left, wears a grey t-shirt and black shorts. The woman, on the right, is in a teal tank top and dark leggings, her dark hair pulled into a neat ponytail. Their focus is palpable as they hold the pose, their bodies strong and steady. In the background, tall, leafy trees frame the scene, their leaves gently rustling in a soft evening breeze. After a moment of stillness, they gracefully transition in unison, lowering their arms and stepping their feet together, preparing for the next sequence, their movements fluid and synchronized, embodying a deep sense of peace and connection.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2749,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_2749_An eye-level medium-wide shot captures a moment of.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_930_In a bustling office environment an Asian man in a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_930_In a bustling office environment an Asian man in a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a77bfa7262acd27fd567176d55031374121b19b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_930_In a bustling office environment an Asian man in a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:27:01.424579",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4",
+  "arguments": {
+    "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c29ddb0432af5d8d0631110a2e148c313e7c05c9
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:06:01.331338",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium, low-angle shot of a teenage boy on an empty, red-surfaced running track during sunset. He is positioned on the right third of the frame, having just completed an intense sprint. He wears a striking neon green athletic jacket, unzipped to reveal a dark shirt underneath, and black running shorts. His body is bent sharply at the waist, his hands pressed firmly onto his knees for support as he struggles to recover. His dark, curly hair is damp with sweat, which also beads on his forehead and temples. His chest rises and falls rapidly and deeply, and with each ragged exhalation, a faint mist of his breath is visible in the cooling air, illuminated by the strong backlight from the setting sun. The sun, low on the horizon, casts long shadows and bathes the scene in a warm, orange glow, creating a cinematic lens flare that streaks across the frame. After a few moments of labored breathing, he slowly and painfully straightens his posture, his eyes remaining fixed on the track ahead with a look of fierce determination mixed with utter exhaustion.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 9169,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_9169_The scene opens on a medium low-angle shot of a te.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..657950e61db8a669ef9b1d988926d17e4c13b827
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:29:01.072917",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4",
+  "arguments": {
+    "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_10000_The scene opens with a static extreme wide shot fr_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_10000_The scene opens with a static extreme wide shot fr_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bcb90b96900126987b85d79cb34b821ea119a6ca
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_10000_The scene opens with a static extreme wide shot fr_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:08:00.198758",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_10000_The scene opens with a static extreme wide shot fr.mp4",
+  "arguments": {
+    "prompt": "The scene opens with a static, extreme wide shot from a bird's-eye view, looking down upon a vast expanse of green lawn. The grass is almost entirely obscured by a chaotic carpet of debris left behind by a music festival: countless plastic cups, crumpled food wrappers, discarded flyers, and shimmering confetti. The early morning light, a soft golden hue, streams in from the side, casting long, dramatic shadows across the field. A single, small figure, a janitor in a dark blue uniform, moves slowly and deliberately through the mess. He pushes a wheeled trash cart ahead of him. With a mechanical grabber in one hand, he methodically picks up pieces of trash one by one, his movements precise and unhurried. He drops each item into a large, gaping black plastic bag attached to his cart. The sheer scale of the mess dwarfs him, making his task seem monumental, almost futile. In the far background, the skeletal structure of the main festival stage is visible, now silent and empty. The contrast between the colorful, festive remnants and the solitary, quiet labor of the janitor creates a powerful, contemplative mood, capturing the silent, unseen work that follows mass celebration.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 10000,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_10000_The scene opens with a static extreme wide shot fr.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c0b24c8a546f0ca0abcd673783856d374a7c5040
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:31:00.591423",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4",
+  "arguments": {
+    "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_191_The shot opens on a medium frame of a young baller_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_191_The shot opens on a medium frame of a young baller_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5d3493473a43b88ad2681a259872f8969d179c2
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_191_The shot opens on a medium frame of a young baller_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:09:58.956986",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_191_The shot opens on a medium frame of a young baller.mp4",
+  "arguments": {
+    "prompt": "The shot opens on a medium frame of a young ballerina sitting on the worn, wooden edge of a vast, dark stage. She is isolated by a single, soft spotlight from above, which casts a gentle, ethereal glow on her and plunges the surrounding theater into deep, velvety shadow. She wears a classic white tutu, its delicate layers fanning out slightly around her, and her dark hair is pulled back in a tight, perfect bun. Her face, beautifully illuminated by the soft light, is a portrait of profound sadness; her eyes are downcast and glistening with unshed tears. Initially, her slender hands rest delicately on her lap, fingers intertwined. With a slow, deliberate, and almost heartbreakingly graceful movement, she lowers them to her sides, her fingertips eventually brushing against the rough surface of the stage floor. The action is imbued with a sense of finality and deep resignation. Following this, she gently brings her legs together, her pink pointe shoes, ribbons still perfectly tied, meeting with a soft, almost inaudible touch. She holds this final pose, her gaze directed slightly downwards, lost in her sorrowful thoughts. The stark contrast between the brightly lit, fragile figure and the cavernous darkness of the empty auditorium creates a powerful, palpable feeling of isolation and deep melancholy.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 191,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_191_The shot opens on a medium frame of a young baller.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd678b27e01f7223f95859456393581670699f6c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:33:00.040291",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4",
+  "arguments": {
+    "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_2736_The scene opens on a medium shot of a teenage boy_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_2736_The scene opens on a medium shot of a teenage boy_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b0f1c9a5e64e6ed9916d93e01cad5811ea857d14
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_2736_The scene opens on a medium shot of a teenage boy_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-28T23:11:57.793214",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_2736_The scene opens on a medium shot of a teenage boy.mp4",
+  "arguments": {
+    "prompt": "The scene opens on a medium shot of a teenage boy sitting alone in a brightly lit coffee shop. He is positioned on the right third of the frame, wearing black-rimmed glasses and a forest green knit sweater. Sunlight from a large, clean window to his left casts a soft glow on his face and highlights the dust motes dancing in the air. In front of him, on a rustic wooden table, sits a white ceramic mug filled with coffee, a simple leaf pattern visible in the latte art. He slowly reaches out, wrapping both hands around the warmth of the mug. He lifts it to his lips, his eyes closing for a brief moment as he takes a sip. After savoring the taste, he gently lowers the mug back onto its saucer without a sound. He turns his head slightly, his gaze directed out the window, watching the world go by with a calm, contemplative expression. The background is softly blurred, showing the indistinct shapes of other patrons, hanging plants, and an exposed brick wall, creating a peaceful and introspective atmosphere.",
+    "valid_video_csv": [
+      "assets/demo_sample_seed_plus1.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 2736,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_2736_The scene opens on a medium shot of a teenage boy.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_930_A static camera captures a seamless sequence as a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_930_A static camera captures a seamless sequence as a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..34b208f296e77e43096c8d6deb03771f5a9ad1d6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_930_A static camera captures a seamless sequence as a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:34:59.507548",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4",
+  "arguments": {
+    "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..19e38ade6ec690608565b3bb920c99f5a5001af6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:36:59.060501",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4",
+  "arguments": {
+    "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_032_seed_930_A charming Korean male star dressed in a casual wh_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_032_seed_930_A charming Korean male star dressed in a casual wh_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..847f9b8c039dcb65396ee8fc36773385e93e903d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_032_seed_930_A charming Korean male star dressed in a casual wh_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:38:58.522183",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4",
+  "arguments": {
+    "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_033_seed_930_A charming Japanese actress wearing a pastel pink_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_033_seed_930_A charming Japanese actress wearing a pastel pink_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9a87e4a9ccd7fcc0f9ffb11fd37c3127d5079b2f
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_033_seed_930_A charming Japanese actress wearing a pastel pink_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:40:58.187291",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4",
+  "arguments": {
+    "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cd220a7d1b97311dd1a791510c12cdc582d8875c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:42:59.073869",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4",
+  "arguments": {
+    "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..604bc5d7a1a268ac7bee7968e8a188b7370c566c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:44:59.842017",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4",
+  "arguments": {
+    "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..54c1184cd4a8b09d2b653345a3a89dded053f7c3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:46:59.197420",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4",
+  "arguments": {
+    "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_037_seed_930_In a serene traditional Japanese courtyard a group_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_037_seed_930_In a serene traditional Japanese courtyard a group_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..04f64865efc9f7d371815bafc9f08a61a3687cf6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_037_seed_930_In a serene traditional Japanese courtyard a group_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:48:58.746404",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4",
+  "arguments": {
+    "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_038_seed_930_An Indigenous Australian family gathers under a st_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_038_seed_930_An Indigenous Australian family gathers under a st_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6b7f4cbe680d5f6bc421c838471fb47e3886186
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_038_seed_930_An Indigenous Australian family gathers under a st_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:50:58.336490",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4",
+  "arguments": {
+    "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_039_seed_930_A warm inviting scene unfolds as a Latin American_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_039_seed_930_A warm inviting scene unfolds as a Latin American_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb8d956ce54bd4efb322534998e20dad44690d9a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_039_seed_930_A warm inviting scene unfolds as a Latin American_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:52:57.926787",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4",
+  "arguments": {
+    "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_040_seed_930_A Native American man sprints across a vast desert_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_040_seed_930_A Native American man sprints across a vast desert_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f99a539bbfefb97b63741c33d78571dfa89b17b8
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_040_seed_930_A Native American man sprints across a vast desert_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:54:57.432056",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_040_seed_930_A Native American man sprints across a vast desert.mp4",
+  "arguments": {
+    "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_040_seed_930_A Native American man sprints across a vast desert.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_041_seed_930_A lively group of South Asian women adorned in vib_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_041_seed_930_A lively group of South Asian women adorned in vib_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ef699a3f9dbc9624d462d7ec927323082387e68
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_041_seed_930_A lively group of South Asian women adorned in vib_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:56:58.097036",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4",
+  "arguments": {
+    "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_042_seed_930_A distinguished East Asian man with short black ha_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_042_seed_930_A distinguished East Asian man with short black ha_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..208ffc6163897386772403168037c43dbc7ca101
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_042_seed_930_A distinguished East Asian man with short black ha_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T20:58:57.572061",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4",
+  "arguments": {
+    "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_043_seed_930_A striking close-up reveals an African woman with_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_043_seed_930_A striking close-up reveals an African woman with_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..44048301225b543798b656fe6d5324b2b19d1424
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_043_seed_930_A striking close-up reveals an African woman with_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:00:57.314098",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_043_seed_930_A striking close-up reveals an African woman with.mp4",
+  "arguments": {
+    "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_043_seed_930_A striking close-up reveals an African woman with.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_044_seed_930_A close-up shot captures a persons face initially_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_044_seed_930_A close-up shot captures a persons face initially_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..624f32faf941d6d5b1966e135e28597b426f9fc5
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_044_seed_930_A close-up shot captures a persons face initially_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:02:56.882358",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_044_seed_930_A close-up shot captures a persons face initially.mp4",
+  "arguments": {
+    "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_044_seed_930_A close-up shot captures a persons face initially.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_045_seed_930_In a bustling city square amidst the vibrant energ_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_045_seed_930_In a bustling city square amidst the vibrant energ_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0cc9e47a8797059f3ffb22f4a98607c3336ca7a7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_045_seed_930_In a bustling city square amidst the vibrant energ_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:04:56.551583",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4",
+  "arguments": {
+    "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_046_seed_930_In a softly lit room the camera zooms in on a pair_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_046_seed_930_In a softly lit room the camera zooms in on a pair_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..47915bb755ac1f96dcc1cb974c79d2cd542b4c5d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_046_seed_930_In a softly lit room the camera zooms in on a pair_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:06:56.227881",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4",
+  "arguments": {
+    "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_047_seed_930_A woman with long flowing hair sprints through a s_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_047_seed_930_A woman with long flowing hair sprints through a s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e0fe970fc7167bf9283ffa0c45d42e1e185afacb
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_047_seed_930_A woman with long flowing hair sprints through a s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:08:57.083080",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4",
+  "arguments": {
+    "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4502ad8ed4750070d85a6d5592779ded9b32fd8b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:10:58.119623",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4",
+  "arguments": {
+    "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_049_seed_930_In a serene softly lit room the camera remains fix_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_049_seed_930_In a serene softly lit room the camera remains fix_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8830ab3da03fff3b914c33e1ec1ff9c39634efec
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_049_seed_930_In a serene softly lit room the camera remains fix_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:12:59.181675",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4",
+  "arguments": {
+    "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_050_seed_930_A character stands in a dimly lit room initially c_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_050_seed_930_A character stands in a dimly lit room initially c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e077ca399cc9a511f0971c44f0336139f79587b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_050_seed_930_A character stands in a dimly lit room initially c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:15:00.246598",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4",
+  "arguments": {
+    "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_051_seed_930_In the golden glow of sunset a young womans face i_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_051_seed_930_In the golden glow of sunset a young womans face i_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d3b530d518c59d0ee158e984c8a05c6e094bd924
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_051_seed_930_In the golden glow of sunset a young womans face i_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:16:59.978370",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4",
+  "arguments": {
+    "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_052_seed_930_In a bustling city square two distinct groups conv_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_052_seed_930_In a bustling city square two distinct groups conv_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f4950a3d55106988383edc399f09c272ebda0447
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_052_seed_930_In a bustling city square two distinct groups conv_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:18:59.659981",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4",
+  "arguments": {
+    "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_053_seed_930_In a bustling public square two individuals engage_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_053_seed_930_In a bustling public square two individuals engage_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..75ee3a399a00f2a5dcc00f87075fc7ee3c147fb9
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_053_seed_930_In a bustling public square two individuals engage_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:20:59.141683",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_053_seed_930_In a bustling public square two individuals engage.mp4",
+  "arguments": {
+    "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_053_seed_930_In a bustling public square two individuals engage.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_054_seed_930_A charismatic public figure stands at a podium pas_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_054_seed_930_A charismatic public figure stands at a podium pas_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..311f56e840be27b191da2b4f823650afe88df739
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_054_seed_930_A charismatic public figure stands at a podium pas_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:22:59.552882",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4",
+  "arguments": {
+    "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_055_seed_930_A young professional seated at a sleek desk in a m_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_055_seed_930_A young professional seated at a sleek desk in a m_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e9742f9b07d8faaefb5f17fc5809725260246da
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_055_seed_930_A young professional seated at a sleek desk in a m_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:25:00.487768",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4",
+  "arguments": {
+    "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_056_seed_930_In a sunlit community center a diverse group of in_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_056_seed_930_In a sunlit community center a diverse group of in_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d79644d7773e0494860760cca56e13fdb9295306
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_056_seed_930_In a sunlit community center a diverse group of in_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:27:00.128396",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4",
+  "arguments": {
+    "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_057_seed_930_In a vibrant park setting two distinct communities_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_057_seed_930_In a vibrant park setting two distinct communities_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6556abd0c85206a42569ea93a79800c9f6fc6078
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_057_seed_930_In a vibrant park setting two distinct communities_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:28:59.806268",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4",
+  "arguments": {
+    "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_058_seed_930_In a dimly lit conference room a diverse group of_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_058_seed_930_In a dimly lit conference room a diverse group of_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f67ee60a203facbb95047b25235a685b2bceb603
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_058_seed_930_In a dimly lit conference room a diverse group of_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:30:59.359867",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b4bc1e928c8a5bb3fbbbb62587dac4f60efbada
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:32:59.407127",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4",
+  "arguments": {
+    "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3989602a6e2fced8445c921aa1ea76b840315c5c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:34:59.951312",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4",
+  "arguments": {
+    "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_061_seed_930_A group of teenagers clad in casual streetwear per_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_061_seed_930_A group of teenagers clad in casual streetwear per_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..89fc549d1ec728218352ee46efbad4c8d25b0835
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_061_seed_930_A group of teenagers clad in casual streetwear per_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:36:59.489627",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4",
+  "arguments": {
+    "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_062_seed_930_In a bustling office a group of female employees d_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_062_seed_930_In a bustling office a group of female employees d_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..ae18f5133fa083d0555f5bce855a3529ce4067e6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_062_seed_930_In a bustling office a group of female employees d_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:38:59.092808",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_062_seed_930_In a bustling office a group of female employees d.mp4",
+  "arguments": {
+    "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_062_seed_930_In a bustling office a group of female employees d.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f29b4dd64a8d7e61d1697b4f3c4b692880043283
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:40:58.610163",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6de88e78153b6f0c006d2de85ae30d23b26f051d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:42:58.761131",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2fd00e14d63f362c8b735411df49b8326a9f155
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:44:58.320350",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4",
+  "arguments": {
+    "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_066_seed_930_In a bustling school hallway two teenagers stand f_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_066_seed_930_In a bustling school hallway two teenagers stand f_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..48af91ad2aefe94beecc44a896625ef94bd95acf
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_066_seed_930_In a bustling school hallway two teenagers stand f_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:46:58.118242",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4",
+  "arguments": {
+    "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_067_seed_930_A group of adventurous children wearing colorful c_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_067_seed_930_A group of adventurous children wearing colorful c_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..14bc759d8ea68615a4bfadd2adf2b21711876839
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_067_seed_930_A group of adventurous children wearing colorful c_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:48:58.212805",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4",
+  "arguments": {
+    "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_068_seed_930_In a bustling metropolis the camera captures the h_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_068_seed_930_In a bustling metropolis the camera captures the h_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4274f482b2d9a7c9e0948f81ba23bbe880de0ee7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_068_seed_930_In a bustling metropolis the camera captures the h_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:50:57.922937",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4",
+  "arguments": {
+    "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_069_seed_930_A tense scene unfolds on a bustling urban street w_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_069_seed_930_A tense scene unfolds on a bustling urban street w_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8b5f8694962a55309f3d42c262cf75af7b3a5ae
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_069_seed_930_A tense scene unfolds on a bustling urban street w_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:52:57.305186",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4",
+  "arguments": {
+    "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_070_seed_930_In a bustling public square two opposing groups fa_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_070_seed_930_In a bustling public square two opposing groups fa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9eed7635722826f17cb6c1d2f618ff4dc65ec9c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_070_seed_930_In a bustling public square two opposing groups fa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:54:56.947158",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4",
+  "arguments": {
+    "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..93cbea7fae9943a583b69f5b63e95c3a2792582f
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:56:56.548335",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4",
+  "arguments": {
+    "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_072_seed_930_The camera swiftly navigates through a bustling To_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_072_seed_930_The camera swiftly navigates through a bustling To_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..23ba75086d6ba6efa9c7c03a9e22dddcae6d3c37
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_072_seed_930_The camera swiftly navigates through a bustling To_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T21:58:56.034800",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4",
+  "arguments": {
+    "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9655649b1a0c099ac13e0fd41da445afdceb2158
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:00:55.337283",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4",
+  "arguments": {
+    "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_074_seed_930_In a magnificent ballroom adorned with intricate g_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_074_seed_930_In a magnificent ballroom adorned with intricate g_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e433c391e0dab44fa59b93dacdaf5f3d39ca3d7
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_074_seed_930_In a magnificent ballroom adorned with intricate g_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:02:54.912621",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4",
+  "arguments": {
+    "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b727d5a74ce40ecca20778e69686b704cad85d0a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:04:54.408445",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4",
+  "arguments": {
+    "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_076_seed_930_The camera soars above a lively medieval marketpla_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_076_seed_930_The camera soars above a lively medieval marketpla_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d1f8f62416feb5ad81272400ff8d3d7f2a66f07c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_076_seed_930_The camera soars above a lively medieval marketpla_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:06:53.980628",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4",
+  "arguments": {
+    "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_077_seed_930_A professional ballet dancer dressed in a flowing_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_077_seed_930_A professional ballet dancer dressed in a flowing_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9215d0d67ca3364c6f33edc18862ea270b224da3
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_077_seed_930_A professional ballet dancer dressed in a flowing_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:08:55.005916",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4",
+  "arguments": {
+    "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..59ae1925b9a99e2599f2db3ada8147f53674bd0c
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:10:54.532465",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4",
+  "arguments": {
+    "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_079_seed_930_As the sun dips below the horizon casting a warm g_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_079_seed_930_As the sun dips below the horizon casting a warm g_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3fd637cbcad920aa9efb4d1af36f22b0342317d
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_079_seed_930_As the sun dips below the horizon casting a warm g_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:12:54.033247",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4",
+  "arguments": {
+    "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..59a825da209b227e55a4833c3a5198bf7e6dae6b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:14:53.477062",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4",
+  "arguments": {
+    "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_081_seed_930_In a noir-style scene a detective in a classic tre_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_081_seed_930_In a noir-style scene a detective in a classic tre_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd397c53d4ce7b41fa60204ddb9f9ab83f2cf592
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_081_seed_930_In a noir-style scene a detective in a classic tre_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:16:53.114546",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4",
+  "arguments": {
+    "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a19475647d4aa0051ddceec0dcaf5d8889f6b44f
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:18:52.786467",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4",
+  "arguments": {
+    "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_083_seed_930_The camera captures the ethereal northern lights s_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_083_seed_930_The camera captures the ethereal northern lights s_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7218fe9d8df58f737af75453a520dc8f255e8949
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_083_seed_930_The camera captures the ethereal northern lights s_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:20:52.965728",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4",
+  "arguments": {
+    "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/validation/step_000200/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa_config.json b/outputs/yw004-flow-baseline/validation/step_000200/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..eab809ef79208f857a56129dbe4518662fe1e645
--- /dev/null
+++ b/outputs/yw004-flow-baseline/validation/step_000200/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa_config.json	
@@ -0,0 +1,49 @@
+{
+  "timestamp": "2026-04-30T22:22:52.488484",
+  "task": "t2v",
+  "transformer_version": "480p_t2v",
+  "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4",
+  "arguments": {
+    "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.",
+    "valid_video_csv": [
+      "assets/video_gen_eval_top100.csv"
+    ],
+    "negative_prompt": "",
+    "resolution": "480p",
+    "model_path": "./ckpts",
+    "aspect_ratio": "16:9",
+    "fixed_size": "480x864",
+    "num_inference_steps": 40,
+    "video_length": 121,
+    "sr": false,
+    "save_pre_sr_video": false,
+    "rewrite": false,
+    "cfg_distilled": false,
+    "enable_step_distill": false,
+    "sparse_attn": false,
+    "offloading": false,
+    "group_offloading": null,
+    "overlap_group_offloading": false,
+    "dtype": "bf16",
+    "seed": 930,
+    "image_path": null,
+    "output_path": "./outputs/yw004-flow-baseline/validation/step_000200/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4",
+    "original_noise_dir": null,
+    "use_sageattn": false,
+    "sage_blocks_range": "0-53",
+    "enable_torch_compile": false,
+    "enable_cache": false,
+    "cache_type": "deepcache",
+    "no_cache_block_id": "53",
+    "cache_start_step": 11,
+    "cache_end_step": 45,
+    "total_steps": 50,
+    "cache_step_interval": 4,
+    "save_generation_config": true,
+    "checkpoint_path": "/root/yw004-flow-baseline/checkpoint-200/transformer",
+    "lora_path": null,
+    "use_fp8_gemm": false,
+    "quant_type": "fp8-per-token-sgl",
+    "include_patterns": "double_blocks"
+  }
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/debug-internal.log b/outputs/yw004-flow-baseline/wandb/wandb/debug-internal.log
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index 0000000000000000000000000000000000000000..c73d9b7212b0163a6c8ca88adfe3b6c67637b17f
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+{"time":"2026-04-26T17:03:18.435469028Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-04-26T17:03:33.304327591Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":23380,"events_lines":2,"console_offset":6090,"console_lines":1}
+{"time":"2026-04-26T17:03:33.42704644Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/debug.log b/outputs/yw004-flow-baseline/wandb/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..e869048709b5f168c70e511cd22fd8df9975670a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/debug.log
@@ -0,0 +1,20 @@
+2026-04-24 16:20:32,321 INFO    MainThread:1779 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_setup.py:_flush():81] Configure stats pid to 1779
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:setup_run_log_directory():723] Logging user logs to outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug.log
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug-internal.log
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:init():850] calling init triggers
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw004-flow-baseline', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline', 'save_interval': 100, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw004-flow-baseline', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 100, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': 'assets/demo_train.csv', 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'videoalign_local', 'reward_config': {'models': {'videoalign_local': {'weight': 1.0, 'sub_reward': {'VQ': 0.5, 'MQ': 0.5, 'TA': 1.0}}}, 'reward_checkpoint_mode': 'v3'}, 'reward_checkpoint_mode': 'v3', 'reward_weights': {'VQ': 0.5, 'MQ': 0.5, 'TA': 1.0}, 'remote_reward_url': None, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'flow_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-04-24 16:20:32,323 INFO    MainThread:1779 [wandb_init.py:init():898] starting backend
+2026-04-24 16:20:32,613 INFO    MainThread:1779 [wandb_init.py:init():913] sending inform_init request
+2026-04-24 16:20:32,867 INFO    MainThread:1779 [wandb_init.py:init():918] backend started and connected
+2026-04-24 16:20:32,870 INFO    MainThread:1779 [wandb_init.py:init():988] updated telemetry
+2026-04-24 16:20:32,917 INFO    MainThread:1779 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-04-24 16:20:33,299 INFO    MainThread:1779 [wandb_init.py:init():1051] run resumed
+2026-04-24 16:20:33,302 INFO    MainThread:1779 [wandb_init.py:init():1056] starting run threads in backend
+2026-04-24 16:20:33,493 INFO    MainThread:1779 [wandb_run.py:_console_start():2554] atexit reg
+2026-04-24 16:20:33,493 INFO    MainThread:1779 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-04-24 16:20:33,493 INFO    MainThread:1779 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-04-24 16:20:33,494 INFO    MainThread:1779 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-04-24 16:20:33,496 INFO    MainThread:1779 [wandb_init.py:init():1094] run started, returning control to user process
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/config.yaml b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6f8dbceb10f5286235afd3e40a39b0b13abf4b51
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/config.yaml
@@ -0,0 +1,387 @@
+_wandb:
+    value:
+        cli_version: 0.26.0
+        e:
+            jn17sjtlnyc2rdfbf0e3c6h58royycao:
+                args:
+                    - --pretrained_model_root
+                    - ./ckpts
+                    - --learning_rate
+                    - "1e-5"
+                    - --batch_size
+                    - "2"
+                    - --num_generations
+                    - "4"
+                    - --max_steps
+                    - "10000"
+                    - --output_dir
+                    - ./outputs
+                    - --enable_wandb
+                    - "True"
+                    - --project_name
+                    - SAGE-GRPO
+                    - --run_name
+                    - yw004-flow-baseline
+                    - --enable_fsdp
+                    - --enable_gradient_checkpointing
+                    - --sp_size
+                    - "2"
+                    - --reward_checkpoint_mode
+                    - v3
+                    - --validate_at_step0
+                    - "False"
+                    - --validate_video_length
+                    - "121"
+                    - --validation_timestep_shift
+                    - "5.0"
+                    - --use_grad_balancing
+                    - "True"
+                    - --enable_timestep_permutation
+                    - "True"
+                    - --sde_type
+                    - flow_grpo
+                    - --kl_weight
+                    - "1e-5"
+                    - --kl_coef
+                    - "1e-7"
+                    - --use_moving_KL
+                    - "True"
+                    - --update_ref_model_step
+                    - "10"
+                    - --use_dual_kl
+                    - "True"
+                    - --dual_kl_moving_weight
+                    - "1.0"
+                    - --dual_kl_step_weight
+                    - "0.1"
+                    - --reference_mode_offload
+                    - "True"
+                    - --checkpoints_directory
+                    - s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline
+                codePath: post_train.py
+                codePathLocal: post_train.py
+                cpu_count: 48
+                cpu_count_logical: 96
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "7516777873408"
+                        used: "150737051648"
+                executable: /usr/local/bin/python
+                git:
+                    commit: 779776e42732e0262b3f2844dd206d9d8f043b2f
+                    remote: https://github.com/Tencent-Hunyuan/SAGE-GRPO.git
+                gpu: NVIDIA A100-SXM4-80GB
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-146822b6-645d-ea49-6a18-6aa75b976bc8
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-e3b8af19-146b-fbea-6068-7ceb403c46a9
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-5d00c387-c0f1-ee3e-c327-48075c3c7e0b
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-66d262b6-4d9b-e929-e146-14e2f7952df2
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-b111abde-90b4-26b7-4848-66714e7303dd
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-38afa0a3-f381-6ce0-11a9-b91fd045199f
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-c46914bb-0677-f4ef-bc8e-861ba67f4b6a
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-90fd0347-880a-1179-7c12-6433be913ac2
+                host: ywang29-hunyuan-flow-baseline-worker-0
+                memory:
+                    total: "1204539256832"
+                os: Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35
+                program: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py
+                python: CPython 3.12.10
+                root: ./outputs/yw004-flow-baseline/wandb
+                startedAt: "2026-04-22T05:13:59.463200Z"
+                username: yi-fan-wang1216
+                writerId: jn17sjtlnyc2rdfbf0e3c6h58royycao
+        m: []
+        python_version: 3.12.10
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 41
+                - 49
+                - 51
+                - 53
+                - 71
+                - 83
+                - 84
+                - 98
+            "2":
+                - 1
+                - 5
+                - 11
+                - 41
+                - 49
+                - 51
+                - 53
+                - 71
+                - 83
+                - 84
+                - 98
+            "3":
+                - 13
+                - 14
+                - 16
+            "4": 3.12.10
+            "5": 0.26.0
+            "6": 4.57.1
+            "12": 0.26.0
+            "13": linux-x86_64
+adv_clip_max:
+    value: 5
+batch_size:
+    value: 2
+byt5_max_length:
+    value: 256
+cfg_scale:
+    value: 6
+checkpoints_directory:
+    value: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline
+clip_range:
+    value: 0.0001
+data_type:
+    value: video
+debug_grad_flow:
+    value: false
+debug_train_diagnostics_interval:
+    value: 1
+dp_replicate:
+    value: 1
+dtype:
+    value: bf16
+dual_kl_moving_weight:
+    value: 1
+dual_kl_step_weight:
+    value: 0.1
+enable_fsdp:
+    value: true
+enable_gradient_checkpointing:
+    value: true
+enable_grpo_policy_update:
+    value: true
+enable_timestep_permutation:
+    value: true
+enable_wandb:
+    value: true
+eta:
+    value: 0.5
+glyph_byT5_v2:
+    value: true
+gradient_accumulation_steps:
+    value: 1
+grpo_sampling_steps:
+    value: 20
+i2v_prob:
+    value: 0.3
+infer_flow_shift_video:
+    value: 5
+kl_coef:
+    value: 1e-07
+kl_compute_mode:
+    value: rollout_phase
+kl_min_coef:
+    value: 1e-07
+kl_weight:
+    value: 1e-05
+learning_rate:
+    value: 1e-05
+log_interval:
+    value: 1
+lora_alpha:
+    value: 16
+lora_dropout:
+    value: 0
+lora_r:
+    value: 8
+lora_target_modules:
+    value: null
+master_weight_type:
+    value: fp32
+max_grad_norm:
+    value: 1
+max_steps:
+    value: 10000
+mini_batch_size_per_update:
+    value: 1
+model_type:
+    value: "16164"
+multitask_mask_training_type:
+    value: concat
+neg_prompt:
+    value: null
+num_generations:
+    value: 4
+num_train_timesteps:
+    value: 1000
+num_workers:
+    value: 4
+output_dir:
+    value: ./outputs/yw004-flow-baseline
+post_train_type:
+    value: grpo
+precision:
+    value: bf16
+prefetch_factor:
+    value: 2
+pretrained_lora_path:
+    value: null
+pretrained_model_root:
+    value: ./ckpts
+pretrained_transformer_version:
+    value: 480p_t2v
+project_name:
+    value: SAGE-GRPO
+reference_mode_offload:
+    value: true
+remote_reward_url:
+    value: null
+resume_from_checkpoint:
+    value: null
+reward_checkpoint_mode:
+    value: v3
+reward_config:
+    value:
+        models:
+            videoalign_local:
+                sub_reward:
+                    MQ: 0.5
+                    TA: 1
+                    VQ: 0.5
+                weight: 1
+        reward_checkpoint_mode: v3
+reward_model:
+    value: videoalign_local
+reward_weights:
+    value:
+        MQ: 0.5
+        TA: 1
+        VQ: 0.5
+run_name:
+    value: yw004-flow-baseline
+sample_n_frames:
+    value: 81
+save_interval:
+    value: 100
+sde_type:
+    value: flow_grpo
+seed:
+    value: 42
+snr_type:
+    value: lognorm
+sp_size:
+    value: 2
+task_type:
+    value: t2v
+timestep_fraction:
+    value: 1
+train_timestep_shift:
+    value: 3
+train_video_csv:
+    value: assets/demo_train.csv
+update_ref_model_step:
+    value: 10
+use_dual_kl:
+    value: true
+use_grad_balancing:
+    value: true
+use_lora:
+    value: false
+use_moving_KL:
+    value: true
+use_muon:
+    value: true
+use_same_noise:
+    value: false
+vae_name:
+    value: 16164-32c-hy20250605
+vae_precision:
+    value: fp16
+vae_tiling:
+    value: false
+val_disable_autocast:
+    value: false
+valid_video_csv:
+    value: assets/demo_sample.csv
+validate_at_step0:
+    value: false
+validate_video_length:
+    value: 121
+validation_aspect_ratio:
+    value: "16:9"
+validation_enable_sr:
+    value: false
+validation_fixed_size:
+    value: 480x864
+validation_global_seed:
+    value: 930
+validation_interval:
+    value: 100
+validation_negative_prompt:
+    value: ""
+validation_num_inference_steps:
+    value: 40
+validation_prompt_rewrite:
+    value: false
+validation_prompts:
+    value: null
+validation_timestep_shift:
+    value: 5
+video_bucket_hw_base_size:
+    value: 480
+video_bucket_hw_bucket_stride:
+    value: 32
+video_fps:
+    value: 24
+video_uncond_p_byt5:
+    value: 0
+vision_num_semantic_tokens:
+    value: 729
+vision_states_dim:
+    value: 1152
+wandb_base_url:
+    value: https://api.wandb.ai
+wandb_entity:
+    value: null
+wandb_key:
+    value: null
+wandb_silent:
+    value: true
+wandb_username:
+    value: null
+warmup_steps:
+    value: 500
+weight_decay:
+    value: 0.01
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/output.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..64cfee6cdd2ac8d571de5c66078bebc7ec147c0b
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/output.log
@@ -0,0 +1,222 @@
+2026-04-22 05:14:01.537 | INFO     | __main__:print_training_configuration:830 - SYSTEM & HARDWARE CONFIGURATION
+2026-04-22 05:14:01.537 | INFO     | __main__:print_training_configuration:831 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.538 | INFO     | __main__:print_training_configuration:832 - Number of GPUs                                   : 64
+2026-04-22 05:14:01.538 | INFO     | __main__:print_training_configuration:833 - Local rank                                       : 0
+2026-04-22 05:14:01.539 | INFO     | __main__:print_training_configuration:834 - Global rank                                      : 0
+2026-04-22 05:14:01.539 | INFO     | __main__:print_training_configuration:835 - Device                                           : cuda:0
+2026-04-22 05:14:01.540 | INFO     | __main__:print_training_configuration:836 - Master weight dtype                              : torch.float32
+2026-04-22 05:14:01.540 | INFO     | __main__:print_training_configuration:838 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.541 | INFO     | __main__:print_training_configuration:839 - MODEL PARAMETERS & ARCHITECTURE
+2026-04-22 05:14:01.541 | INFO     | __main__:print_training_configuration:840 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.551 | INFO     | __main__:print_training_configuration:843 - Number of total                                  : 8,326,608,160
+2026-04-22 05:14:01.552 | INFO     | __main__:print_training_configuration:844 - Total trainable parameters                        : 8,326,608,160
+2026-04-22 05:14:01.552 | INFO     | __main__:print_training_configuration:845 - DIT model root                                   : ./ckpts
+2026-04-22 05:14:01.553 | INFO     | __main__:print_training_configuration:846 - Transformer version                              : 480p_t2v
+2026-04-22 05:14:01.553 | INFO     | __main__:print_training_configuration:847 - Attention mode                                   : flash
+2026-04-22 05:14:01.554 | INFO     | __main__:print_training_configuration:848 - Gradient checkpointing                           : True
+2026-04-22 05:14:01.554 | INFO     | __main__:print_training_configuration:849 - FSDP enabled                                     : True
+2026-04-22 05:14:01.555 | INFO     | __main__:print_training_configuration:850 - LoRA enabled                                     : False
+2026-04-22 05:14:01.555 | INFO     | __main__:print_training_configuration:851 - Glyph byT5 v2                                    : True
+2026-04-22 05:14:01.556 | INFO     | __main__:print_training_configuration:852 - ByT5 max length                                  : 256
+2026-04-22 05:14:01.556 | INFO     | __main__:print_training_configuration:854 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.557 | INFO     | __main__:print_training_configuration:855 - DISTRIBUTED TRAINING CONFIGURATION
+2026-04-22 05:14:01.557 | INFO     | __main__:print_training_configuration:856 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.557 | INFO     | __main__:print_training_configuration:857 - World size                                       : 64
+2026-04-22 05:14:01.558 | INFO     | __main__:print_training_configuration:858 - DP degree                                        : 32
+2026-04-22 05:14:01.558 | INFO     | __main__:print_training_configuration:859 - DP rank                                          : 0
+2026-04-22 05:14:01.558 | INFO     | __main__:print_training_configuration:860 - SP size                                          : 2
+2026-04-22 05:14:01.559 | INFO     | __main__:print_training_configuration:861 - SP rank                                          : 0
+2026-04-22 05:14:01.559 | INFO     | __main__:print_training_configuration:863 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.560 | INFO     | __main__:print_training_configuration:864 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-04-22 05:14:01.560 | INFO     | __main__:print_training_configuration:865 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.560 | INFO     | __main__:print_training_configuration:866 - Per GPU batch size                               : 2
+2026-04-22 05:14:01.561 | INFO     | __main__:print_training_configuration:867 - DP degree batch size                             : 64
+2026-04-22 05:14:01.561 | INFO     | __main__:print_training_configuration:868 - Gradient accumulation steps                      : 1
+2026-04-22 05:14:01.562 | INFO     | __main__:print_training_configuration:869 - Num generations                                  : 4
+2026-04-22 05:14:01.562 | INFO     | __main__:print_training_configuration:870 - Use same noise                                   : False
+2026-04-22 05:14:01.562 | INFO     | __main__:print_training_configuration:871 - Num workers                                      : 4
+2026-04-22 05:14:01.563 | INFO     | __main__:print_training_configuration:872 - Prefetch factor                                  : 2
+2026-04-22 05:14:01.563 | INFO     | __main__:print_training_configuration:874 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.564 | INFO     | __main__:print_training_configuration:875 - OPTIMIZATION CONFIGURATION
+2026-04-22 05:14:01.564 | INFO     | __main__:print_training_configuration:876 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.564 | INFO     | __main__:print_training_configuration:877 - Optimizer                                        : muon
+2026-04-22 05:14:01.565 | INFO     | __main__:print_training_configuration:878 - Learning rate                                    : 1e-05
+2026-04-22 05:14:01.565 | INFO     | __main__:print_training_configuration:879 - Weight decay                                     : 0.01
+2026-04-22 05:14:01.566 | INFO     | __main__:print_training_configuration:880 - Max gradient norm                                : 1.0
+2026-04-22 05:14:01.566 | INFO     | __main__:print_training_configuration:881 - LR scheduler                                     : constant
+2026-04-22 05:14:01.567 | INFO     | __main__:print_training_configuration:882 - Warmup steps                                     : 500
+2026-04-22 05:14:01.567 | INFO     | __main__:print_training_configuration:883 - Max training steps                               : 10000
+2026-04-22 05:14:01.567 | INFO     | __main__:print_training_configuration:885 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.568 | INFO     | __main__:print_training_configuration:886 - INFERENCE & VALIDATION CONFIGURATION
+2026-04-22 05:14:01.568 | INFO     | __main__:print_training_configuration:887 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.568 | INFO     | __main__:print_training_configuration:888 - Validation interval                              : 100
+2026-04-22 05:14:01.569 | INFO     | __main__:print_training_configuration:889 - Validate at step 0                               : False
+2026-04-22 05:14:01.569 | INFO     | __main__:print_training_configuration:890 - Validation video length                          : 121
+2026-04-22 05:14:01.570 | INFO     | __main__:print_training_configuration:891 - Validation global seed                           : 930
+2026-04-22 05:14:01.570 | INFO     | __main__:print_training_configuration:892 - Validation inference steps                        : 40
+2026-04-22 05:14:01.570 | INFO     | __main__:print_training_configuration:893 - Validation aspect ratio                          : 16:9
+2026-04-22 05:14:01.571 | INFO     | __main__:print_training_configuration:894 - Validation fixed size                            : 480x864
+2026-04-22 05:14:01.571 | INFO     | __main__:print_training_configuration:895 - Validation prompt rewrite                         : False
+2026-04-22 05:14:01.572 | INFO     | __main__:print_training_configuration:896 - Validation flow shift                             : 5.0
+2026-04-22 05:14:01.572 | INFO     | __main__:print_training_configuration:897 - Sampling CFG scale                                : 6.0
+2026-04-22 05:14:01.572 | INFO     | __main__:print_training_configuration:898 - Sampling eta                                      : 0.5
+2026-04-22 05:14:01.573 | INFO     | __main__:print_training_configuration:899 - Sampling steps (GRPO rollout)                     : 20
+2026-04-22 05:14:01.573 | INFO     | __main__:print_training_configuration:900 - SDE type                                          : flow_grpo
+2026-04-22 05:14:01.574 | INFO     | __main__:print_training_configuration:902 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.574 | INFO     | __main__:print_training_configuration:903 - GRPO & KL CONFIGURATION
+2026-04-22 05:14:01.574 | INFO     | __main__:print_training_configuration:904 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.575 | INFO     | __main__:print_training_configuration:905 - Reward model                                     : videoalign_local
+2026-04-22 05:14:01.575 | INFO     | __main__:print_training_configuration:906 - Reward checkpoint mode                           : v3
+2026-04-22 05:14:01.576 | INFO     | __main__:print_training_configuration:907 - KL weight                                        : 1e-05
+2026-04-22 05:14:01.576 | INFO     | __main__:print_training_configuration:908 - KL coef                                          : 1e-07
+2026-04-22 05:14:01.577 | INFO     | __main__:print_training_configuration:909 - Use moving KL                                    : True
+2026-04-22 05:14:01.577 | INFO     | __main__:print_training_configuration:910 - Update ref model step                            : 10
+2026-04-22 05:14:01.577 | INFO     | __main__:print_training_configuration:911 - Use dual KL                                      : True
+2026-04-22 05:14:01.578 | INFO     | __main__:print_training_configuration:912 - Dual KL moving weight                            : 1.0
+2026-04-22 05:14:01.578 | INFO     | __main__:print_training_configuration:913 - Dual KL step weight                              : 0.1
+2026-04-22 05:14:01.579 | INFO     | __main__:print_training_configuration:914 - KL compute mode                                  : rollout_phase
+2026-04-22 05:14:01.579 | INFO     | __main__:print_training_configuration:915 - Use grad balancing                               : True
+2026-04-22 05:14:01.579 | INFO     | __main__:print_training_configuration:916 - Enable timestep permutation                      : True
+2026-04-22 05:14:01.580 | INFO     | __main__:print_training_configuration:917 - Reference mode offload                           : True
+2026-04-22 05:14:01.580 | INFO     | __main__:print_training_configuration:919 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.580 | INFO     | __main__:print_training_configuration:920 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-04-22 05:14:01.581 | INFO     | __main__:print_training_configuration:921 - --------------------------------------------------------------------------------
+2026-04-22 05:14:01.581 | INFO     | __main__:print_training_configuration:922 - Output directory                                 : ./outputs/yw004-flow-baseline
+2026-04-22 05:14:01.581 | INFO     | __main__:print_training_configuration:923 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline
+2026-04-22 05:14:01.582 | INFO     | __main__:print_training_configuration:924 - Checkpoint interval                              : 100
+2026-04-22 05:14:01.582 | INFO     | __main__:print_training_configuration:925 - Log interval                                     : 1
+2026-04-22 05:14:01.583 | INFO     | __main__:print_training_configuration:926 - Resume checkpoint                                : None
+2026-04-22 05:14:01.583 | INFO     | __main__:print_training_configuration:927 - Train CSV                                         : assets/demo_train.csv
+2026-04-22 05:14:01.583 | INFO     | __main__:print_training_configuration:928 - Valid CSV                                         : assets/demo_sample.csv
+2026-04-22 05:14:01.584 | INFO     | __main__:print_training_configuration:929 - Seed                                             : 42
+2026-04-22 05:14:01.584 | INFO     | __main__:print_training_configuration:930 - WandB enabled                                    : True
+2026-04-22 05:14:01.585 | INFO     | __main__:print_training_configuration:932 - WandB project                                    : SAGE-GRPO
+2026-04-22 05:14:01.585 | INFO     | __main__:print_training_configuration:933 - WandB run name                                   : yw004-flow-baseline
+2026-04-22 05:14:01.586 | INFO     | __main__:__init__:818 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-04-22 05:14:01.586 | INFO     | __main__:_build_video_dataset:1675 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-04-22 05:14:01.888 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1171 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-04-22 05:14:01.889 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1198 - Dataloader init done
+2026-04-22 05:14:01.889 | INFO     | __main__:_train_grpo:1751 - Starting GRPO training...
+2026-04-22 05:14:01.890 | INFO     | __main__:_train_grpo:1752 - Max steps: 10000
+2026-04-22 05:14:01.890 | INFO     | __main__:_train_grpo:1753 - Batch size: 2
+2026-04-22 05:14:01.891 | INFO     | __main__:_train_grpo:1754 - Learning rate: 1e-05
+Iterator of DistributedSamplerWithStartIndex created.
+2026-04-22 05:14:03.440 | INFO     | __main__:_train_grpo:1780 - [FLAG] post_train train path -> train_one_step
+2026-04-22 05:16:31.780 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-22 05:16:31.889 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-22 05:16:31.891 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:59,  5.97s/it][01:59<00:00,  5.17s/it]
+100%|██████████| 20/20 [01:59<00:00,  5.97s/it]
+2026-04-22 05:18:38.811 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000000/group_0/index_7542_seed_28576_dp_0_rank_0_sample_0_slot_0.mp4
+qwen-vl-utils using torchvision to read video.
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+2026-04-22 05:18:39.618 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-22 05:18:39.621 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:41,  5.09s/it][01:41<00:00,  5.03s/it]
+100%|██████████| 20/20 [01:41<00:00,  5.09s/it]
+2026-04-22 05:20:28.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000000/group_0/index_7542_seed_28577_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-22 05:20:29.262 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
+2026-04-22 05:20:38.453 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-22 05:20:49.173 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:47<00:00, 53.55s/it]
+2026-04-22 05:22:54.519 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 125.23s (2.09min)
+2026-04-22 05:22:55.489 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 0: training:   0%|          | 0/2 [00:00<?, ?it/s]              2026-04-22 05:23:00.734 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1545 - Rank 0, sp_rank 0: init adaptive KL controller (init=1.000e-07, min=1.000e-07, max=1.000e-05)
+Global Step 0: training:  50%|█████     | 1/2 [09:51<09:51, 591.90s/it]it/s]
+Traceback (most recent call last):                                                    
+  File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py", line 2337, in <module>
+    main()
+  File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py", line 2333, in main
+    trainer._train_grpo(dataloader)
+  File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py", line 1800, in _train_grpo
+    metrics = grpo_train_one_step(
+              ^^^^^^^^^^^^^^^^^^^^
+  File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/hyvideo/utils/grpo_utils.py", line 1747, in train_one_step
+    optimizer.step()
+  File "/usr/local/lib/python3.12/site-packages/torch/optim/lr_scheduler.py", line 166, in wrapper
+    return func.__get__(opt, opt.__class__)(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/optim/optimizer.py", line 526, in wrapper
+    out = func(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^
+  File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/hyvideo/optim/muon.py", line 166, in step
+    u = zeropower_via_newtonschulz5(g, steps=group["ns_steps"])
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/hyvideo/optim/muon.py", line 29, in zeropower_via_newtonschulz5
+    G = G.full_tensor()
+        ^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_api.py", line 605, in full_tensor
+    redist_res = self.redistribute(
+                 ^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_api.py", line 575, in redistribute
+    return Redistribute.apply(
+           ^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/autograd/function.py", line 583, in apply
+    return super().apply(*args, **kwargs)  # type: ignore[misc]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_redistribute.py", line 979, in forward
+    output = redistribute_local_tensor(
+             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_redistribute.py", line 870, in redistribute_local_tensor
+    new_local_tensor = current_placement._to_replicate_tensor(
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/placement_types.py", line 310, in _to_replicate_tensor
+    result = funcol.all_gather_tensor(
+             ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/distributed/_functional_collectives.py", line 201, in all_gather_tensor
+    tensor = torch.ops._c10d_functional.all_gather_into_tensor(
+             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/site-packages/torch/_ops.py", line 1209, in __call__
+    return self._op(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+RuntimeError: Backend nccl does not support allgather_into_tensor_coalesced
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py", line 2337, in <module>
+[rank0]:     main()
+[rank0]:   File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py", line 2333, in main
+[rank0]:     trainer._train_grpo(dataloader)
+[rank0]:   File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py", line 1800, in _train_grpo
+[rank0]:     metrics = grpo_train_one_step(
+[rank0]:               ^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/hyvideo/utils/grpo_utils.py", line 1747, in train_one_step
+[rank0]:     optimizer.step()
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/optim/lr_scheduler.py", line 166, in wrapper
+[rank0]:     return func.__get__(opt, opt.__class__)(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/optim/optimizer.py", line 526, in wrapper
+[rank0]:     out = func(*args, **kwargs)
+[rank0]:           ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/hyvideo/optim/muon.py", line 166, in step
+[rank0]:     u = zeropower_via_newtonschulz5(g, steps=group["ns_steps"])
+[rank0]:         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/hyvideo/optim/muon.py", line 29, in zeropower_via_newtonschulz5
+[rank0]:     G = G.full_tensor()
+[rank0]:         ^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_api.py", line 605, in full_tensor
+[rank0]:     redist_res = self.redistribute(
+[rank0]:                  ^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_api.py", line 575, in redistribute
+[rank0]:     return Redistribute.apply(
+[rank0]:            ^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/autograd/function.py", line 583, in apply
+[rank0]:     return super().apply(*args, **kwargs)  # type: ignore[misc]
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_redistribute.py", line 979, in forward
+[rank0]:     output = redistribute_local_tensor(
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/_redistribute.py", line 870, in redistribute_local_tensor
+[rank0]:     new_local_tensor = current_placement._to_replicate_tensor(
+[rank0]:                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/distributed/tensor/placement_types.py", line 310, in _to_replicate_tensor
+[rank0]:     result = funcol.all_gather_tensor(
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/distributed/_functional_collectives.py", line 201, in all_gather_tensor
+[rank0]:     tensor = torch.ops._c10d_functional.all_gather_into_tensor(
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/usr/local/lib/python3.12/site-packages/torch/_ops.py", line 1209, in __call__
+[rank0]:     return self._op(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]: RuntimeError: Backend nccl does not support allgather_into_tensor_coalesced
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/requirements.txt b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..118bd3dc744c596e81f026ec8638ded7537dcf3e
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/requirements.txt
@@ -0,0 +1,280 @@
+awscli==1.44.69
+boto3==1.42.79
+botocore==1.42.79
+certifi==2026.2.25
+charset-normalizer==3.4.6
+colorama==0.4.6
+docutils==0.19
+idna==3.11
+jmespath==1.1.0
+pip==26.0.1
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.33.1
+rsa==4.7.2
+s3transfer==0.16.0
+six==1.17.0
+urllib3==2.6.3
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.11.1+cu130
+tifffile==2026.4.11
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.58.0
+sentencepiece==0.2.1
+regex==2026.4.4
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.4.1
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.0
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.0.1
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.1.2
+Mako==1.3.11
+loguru==0.7.3
+lmdb==2.2.0
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.4.0
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.3
+aiohappyeyeballs==2.6.1
+yarl==1.23.0
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.49
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+wheel==0.46.3
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
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+h5py==3.16.0
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diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/wandb-metadata.json b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..65f8dd6ca8b242f179f57af1220b4b6b46738d62
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/wandb-metadata.json
@@ -0,0 +1,145 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-04-22T05:13:59.463200Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw004-flow-baseline",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "flow_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw004-flow-baseline/wandb",
+  "host": "ywang29-hunyuan-flow-baseline-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "150737051648"
+    }
+  },
+  "memory": {
+    "total": "1204539256832"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-146822b6-645d-ea49-6a18-6aa75b976bc8"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e3b8af19-146b-fbea-6068-7ceb403c46a9"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-5d00c387-c0f1-ee3e-c327-48075c3c7e0b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-66d262b6-4d9b-e929-e146-14e2f7952df2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-b111abde-90b4-26b7-4848-66714e7303dd"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-38afa0a3-f381-6ce0-11a9-b91fd045199f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-c46914bb-0677-f4ef-bc8e-861ba67f4b6a"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-90fd0347-880a-1179-7c12-6433be913ac2"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "jn17sjtlnyc2rdfbf0e3c6h58royycao"
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/wandb-summary.json b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a0f919433acf031a12ef3ef3da186e8c295b1faa
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/files/wandb-summary.json
@@ -0,0 +1 @@
+{"_wandb":{"runtime":1146},"_runtime":1146}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/logs/debug-internal.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..6c66c8f5c52569f90e3b5738d94cb093d03f3064
--- /dev/null
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diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/logs/debug.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..a409fcf14e6e5d787cadce82e73e5151c81f0171
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260422_051359-7bzi27an/logs/debug.log
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+2026-04-22 05:33:07,548 INFO    wandb-AsyncioManager-main:1792 [service_client.py:_forward_responses():134] Reached EOF.
+2026-04-22 05:33:07,550 INFO    wandb-AsyncioManager-main:1792 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/output.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..a0938e63591e45a144873d6e8c8a80ef6ccc7bb1
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/output.log
@@ -0,0 +1,192 @@
+2026-04-23 22:58:10.643 | INFO     | __main__:print_training_configuration:830 - SYSTEM & HARDWARE CONFIGURATION
+2026-04-23 22:58:10.643 | INFO     | __main__:print_training_configuration:831 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.644 | INFO     | __main__:print_training_configuration:832 - Number of GPUs                                   : 64
+2026-04-23 22:58:10.644 | INFO     | __main__:print_training_configuration:833 - Local rank                                       : 0
+2026-04-23 22:58:10.645 | INFO     | __main__:print_training_configuration:834 - Global rank                                      : 0
+2026-04-23 22:58:10.645 | INFO     | __main__:print_training_configuration:835 - Device                                           : cuda:0
+2026-04-23 22:58:10.646 | INFO     | __main__:print_training_configuration:836 - Master weight dtype                              : torch.float32
+2026-04-23 22:58:10.647 | INFO     | __main__:print_training_configuration:838 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.647 | INFO     | __main__:print_training_configuration:839 - MODEL PARAMETERS & ARCHITECTURE
+2026-04-23 22:58:10.648 | INFO     | __main__:print_training_configuration:840 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.661 | INFO     | __main__:print_training_configuration:843 - Number of total                                  : 8,326,608,160
+2026-04-23 22:58:10.661 | INFO     | __main__:print_training_configuration:844 - Total trainable parameters                        : 8,326,608,160
+2026-04-23 22:58:10.661 | INFO     | __main__:print_training_configuration:845 - DIT model root                                   : ./ckpts
+2026-04-23 22:58:10.662 | INFO     | __main__:print_training_configuration:846 - Transformer version                              : 480p_t2v
+2026-04-23 22:58:10.662 | INFO     | __main__:print_training_configuration:847 - Attention mode                                   : flash
+2026-04-23 22:58:10.663 | INFO     | __main__:print_training_configuration:848 - Gradient checkpointing                           : True
+2026-04-23 22:58:10.663 | INFO     | __main__:print_training_configuration:849 - FSDP enabled                                     : True
+2026-04-23 22:58:10.664 | INFO     | __main__:print_training_configuration:850 - LoRA enabled                                     : False
+2026-04-23 22:58:10.664 | INFO     | __main__:print_training_configuration:851 - Glyph byT5 v2                                    : True
+2026-04-23 22:58:10.665 | INFO     | __main__:print_training_configuration:852 - ByT5 max length                                  : 256
+2026-04-23 22:58:10.665 | INFO     | __main__:print_training_configuration:854 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.666 | INFO     | __main__:print_training_configuration:855 - DISTRIBUTED TRAINING CONFIGURATION
+2026-04-23 22:58:10.666 | INFO     | __main__:print_training_configuration:856 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.667 | INFO     | __main__:print_training_configuration:857 - World size                                       : 64
+2026-04-23 22:58:10.667 | INFO     | __main__:print_training_configuration:858 - DP degree                                        : 32
+2026-04-23 22:58:10.667 | INFO     | __main__:print_training_configuration:859 - DP rank                                          : 0
+2026-04-23 22:58:10.668 | INFO     | __main__:print_training_configuration:860 - SP size                                          : 2
+2026-04-23 22:58:10.668 | INFO     | __main__:print_training_configuration:861 - SP rank                                          : 0
+2026-04-23 22:58:10.669 | INFO     | __main__:print_training_configuration:863 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.669 | INFO     | __main__:print_training_configuration:864 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-04-23 22:58:10.669 | INFO     | __main__:print_training_configuration:865 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.670 | INFO     | __main__:print_training_configuration:866 - Per GPU batch size                               : 2
+2026-04-23 22:58:10.670 | INFO     | __main__:print_training_configuration:867 - DP degree batch size                             : 64
+2026-04-23 22:58:10.671 | INFO     | __main__:print_training_configuration:868 - Gradient accumulation steps                      : 1
+2026-04-23 22:58:10.671 | INFO     | __main__:print_training_configuration:869 - Num generations                                  : 4
+2026-04-23 22:58:10.671 | INFO     | __main__:print_training_configuration:870 - Use same noise                                   : False
+2026-04-23 22:58:10.672 | INFO     | __main__:print_training_configuration:871 - Num workers                                      : 4
+2026-04-23 22:58:10.672 | INFO     | __main__:print_training_configuration:872 - Prefetch factor                                  : 2
+2026-04-23 22:58:10.673 | INFO     | __main__:print_training_configuration:874 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.673 | INFO     | __main__:print_training_configuration:875 - OPTIMIZATION CONFIGURATION
+2026-04-23 22:58:10.673 | INFO     | __main__:print_training_configuration:876 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.674 | INFO     | __main__:print_training_configuration:877 - Optimizer                                        : muon
+2026-04-23 22:58:10.674 | INFO     | __main__:print_training_configuration:878 - Learning rate                                    : 1e-05
+2026-04-23 22:58:10.674 | INFO     | __main__:print_training_configuration:879 - Weight decay                                     : 0.01
+2026-04-23 22:58:10.675 | INFO     | __main__:print_training_configuration:880 - Max gradient norm                                : 1.0
+2026-04-23 22:58:10.675 | INFO     | __main__:print_training_configuration:881 - LR scheduler                                     : constant
+2026-04-23 22:58:10.676 | INFO     | __main__:print_training_configuration:882 - Warmup steps                                     : 500
+2026-04-23 22:58:10.676 | INFO     | __main__:print_training_configuration:883 - Max training steps                               : 10000
+2026-04-23 22:58:10.677 | INFO     | __main__:print_training_configuration:885 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.677 | INFO     | __main__:print_training_configuration:886 - INFERENCE & VALIDATION CONFIGURATION
+2026-04-23 22:58:10.677 | INFO     | __main__:print_training_configuration:887 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.678 | INFO     | __main__:print_training_configuration:888 - Validation interval                              : 100
+2026-04-23 22:58:10.678 | INFO     | __main__:print_training_configuration:889 - Validate at step 0                               : False
+2026-04-23 22:58:10.678 | INFO     | __main__:print_training_configuration:890 - Validation video length                          : 121
+2026-04-23 22:58:10.679 | INFO     | __main__:print_training_configuration:891 - Validation global seed                           : 930
+2026-04-23 22:58:10.679 | INFO     | __main__:print_training_configuration:892 - Validation inference steps                        : 40
+2026-04-23 22:58:10.680 | INFO     | __main__:print_training_configuration:893 - Validation aspect ratio                          : 16:9
+2026-04-23 22:58:10.680 | INFO     | __main__:print_training_configuration:894 - Validation fixed size                            : 480x864
+2026-04-23 22:58:10.680 | INFO     | __main__:print_training_configuration:895 - Validation prompt rewrite                         : False
+2026-04-23 22:58:10.681 | INFO     | __main__:print_training_configuration:896 - Validation flow shift                             : 5.0
+2026-04-23 22:58:10.681 | INFO     | __main__:print_training_configuration:897 - Sampling CFG scale                                : 6.0
+2026-04-23 22:58:10.682 | INFO     | __main__:print_training_configuration:898 - Sampling eta                                      : 0.5
+2026-04-23 22:58:10.682 | INFO     | __main__:print_training_configuration:899 - Sampling steps (GRPO rollout)                     : 20
+2026-04-23 22:58:10.682 | INFO     | __main__:print_training_configuration:900 - SDE type                                          : flow_grpo
+2026-04-23 22:58:10.683 | INFO     | __main__:print_training_configuration:902 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.683 | INFO     | __main__:print_training_configuration:903 - GRPO & KL CONFIGURATION
+2026-04-23 22:58:10.684 | INFO     | __main__:print_training_configuration:904 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.684 | INFO     | __main__:print_training_configuration:905 - Reward model                                     : videoalign_local
+2026-04-23 22:58:10.684 | INFO     | __main__:print_training_configuration:906 - Reward checkpoint mode                           : v3
+2026-04-23 22:58:10.685 | INFO     | __main__:print_training_configuration:907 - KL weight                                        : 1e-05
+2026-04-23 22:58:10.685 | INFO     | __main__:print_training_configuration:908 - KL coef                                          : 1e-07
+2026-04-23 22:58:10.685 | INFO     | __main__:print_training_configuration:909 - Use moving KL                                    : True
+2026-04-23 22:58:10.686 | INFO     | __main__:print_training_configuration:910 - Update ref model step                            : 10
+2026-04-23 22:58:10.686 | INFO     | __main__:print_training_configuration:911 - Use dual KL                                      : True
+2026-04-23 22:58:10.687 | INFO     | __main__:print_training_configuration:912 - Dual KL moving weight                            : 1.0
+2026-04-23 22:58:10.687 | INFO     | __main__:print_training_configuration:913 - Dual KL step weight                              : 0.1
+2026-04-23 22:58:10.687 | INFO     | __main__:print_training_configuration:914 - KL compute mode                                  : rollout_phase
+2026-04-23 22:58:10.688 | INFO     | __main__:print_training_configuration:915 - Use grad balancing                               : True
+2026-04-23 22:58:10.688 | INFO     | __main__:print_training_configuration:916 - Enable timestep permutation                      : True
+2026-04-23 22:58:10.689 | INFO     | __main__:print_training_configuration:917 - Reference mode offload                           : True
+2026-04-23 22:58:10.689 | INFO     | __main__:print_training_configuration:919 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.689 | INFO     | __main__:print_training_configuration:920 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-04-23 22:58:10.690 | INFO     | __main__:print_training_configuration:921 - --------------------------------------------------------------------------------
+2026-04-23 22:58:10.690 | INFO     | __main__:print_training_configuration:922 - Output directory                                 : ./outputs/yw004-flow-baseline
+2026-04-23 22:58:10.691 | INFO     | __main__:print_training_configuration:923 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline
+2026-04-23 22:58:10.691 | INFO     | __main__:print_training_configuration:924 - Checkpoint interval                              : 100
+2026-04-23 22:58:10.691 | INFO     | __main__:print_training_configuration:925 - Log interval                                     : 1
+2026-04-23 22:58:10.692 | INFO     | __main__:print_training_configuration:926 - Resume checkpoint                                : None
+2026-04-23 22:58:10.692 | INFO     | __main__:print_training_configuration:927 - Train CSV                                         : assets/demo_train.csv
+2026-04-23 22:58:10.693 | INFO     | __main__:print_training_configuration:928 - Valid CSV                                         : assets/demo_sample.csv
+2026-04-23 22:58:10.693 | INFO     | __main__:print_training_configuration:929 - Seed                                             : 42
+2026-04-23 22:58:10.693 | INFO     | __main__:print_training_configuration:930 - WandB enabled                                    : True
+2026-04-23 22:58:10.694 | INFO     | __main__:print_training_configuration:932 - WandB project                                    : SAGE-GRPO
+2026-04-23 22:58:10.694 | INFO     | __main__:print_training_configuration:933 - WandB run name                                   : yw004-flow-baseline
+2026-04-23 22:58:10.694 | INFO     | __main__:__init__:818 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-04-23 22:58:10.695 | INFO     | __main__:_build_video_dataset:1675 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-04-23 22:58:11.010 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1171 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-04-23 22:58:11.011 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1198 - Dataloader init done
+2026-04-23 22:58:11.012 | INFO     | __main__:_train_grpo:1751 - Starting GRPO training...
+2026-04-23 22:58:11.012 | INFO     | __main__:_train_grpo:1752 - Max steps: 10000
+2026-04-23 22:58:11.012 | INFO     | __main__:_train_grpo:1753 - Batch size: 2
+2026-04-23 22:58:11.013 | INFO     | __main__:_train_grpo:1754 - Learning rate: 1e-05
+Iterator of DistributedSamplerWithStartIndex created.
+2026-04-23 22:58:12.248 | INFO     | __main__:_train_grpo:1780 - [FLAG] post_train train path -> train_one_step
+2026-04-23 22:59:09.742 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-23 22:59:09.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 22:59:09.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:15,  3.76s/it][01:15<00:00,  2.84s/it]
+100%|██████████| 20/20 [01:15<00:00,  3.76s/it]
+2026-04-23 23:00:32.709 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000000/group_0/index_7542_seed_28576_dp_0_rank_0_sample_0_slot_0.mp4
+qwen-vl-utils using torchvision to read video.
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+2026-04-23 23:00:33.477 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:00:33.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.83s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-23 23:01:37.267 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000000/group_0/index_7542_seed_28577_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-23 23:01:38.052 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
+2026-04-23 23:01:43.685 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-23 23:01:54.460 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-04-23 23:03:48.744 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.24s (1.90min)
+2026-04-23 23:03:49.396 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 0: training:   0%|          | 0/2 [00:00<?, ?it/s]              2026-04-23 23:03:52.446 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1545 - Rank 0, sp_rank 0: init adaptive KL controller (init=1.000e-07, min=1.000e-07, max=1.000e-05)
+Global Step 0: training:  50%|█████     | 1/2 [03:40<03:40, 220.65s/it]it/s]          2026-04-23 23:11:00.450 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 1, train_steps: 40
+Global Step 0: training: 100%|██████████| 2/2 [07:11<00:00, 215.52s/it]:10, 10.09s/it]
+2026-04-23 23:11:00.895 | INFO     | __main__:_log_precision_diagnostics_once:1372 - [PrecisionDiag] trainable param dtypes: ['torch.float32']
+2026-04-23 23:11:00.896 | INFO     | __main__:_log_precision_diagnostics_once:1375 - [PrecisionDiag] Using composable FSDP2 mixed precision (param_dtype=bf16, reduce_dtype=float32). This path does not maintain an explicit FP32 master-weight copy for parameters.
+2026-04-23 23:11:00.899 | INFO     | __main__:_log_precision_diagnostics_once:1388 - [PrecisionDiag] optimizer tensor-state dtypes: ['torch.float32'] (count=2804)
+2026-04-23 23:11:00.900 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 1	train_steps 40	{'step': '1/10000', 'learning_rate': '0.00001000', 'loss': '1.211e-08', 'grad_norm': '0.00339303', 'KL_weight': '0.00000396', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '279.55728149', 'grpo_loop_time': '431.03814697', 'ref_model_time': '114.24279022', 'approx_kl': '2.334e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.382e-09', 'kl_loss': '0.00072402', 'kl_moving': '0.00072402', 'kl_stepwise': '2.037e-10', 'gathered_avg_reward_mean': '-0.89915198', 'gathered_avg_reward_std': '0.74858731', 'gathered_videoalign_local_mq_reward_mean': '-0.86879563', 'gathered_videoalign_local_mq_reward_std': '0.22306889', 'gathered_videoalign_local_overall_reward_mean': '-1.92974079', 'gathered_videoalign_local_overall_reward_std': '0.89075089', 'gathered_videoalign_local_ta_reward_mean': '0.13143674', 'gathered_videoalign_local_ta_reward_std': '0.65268672', 'gathered_videoalign_local_vq_reward_mean': '-1.19238174', 'gathered_videoalign_local_vq_reward_std': '0.27769741', 'gathered_ori_avg_reward_mean': '-0.89915204', 'gathered_ori_avg_reward_std': '0.74858731'}
+2026-04-23 23:11:00.999 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-23 23:11:01.096 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:11:01.100 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-23 23:12:05.936 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000001/group_0/index_6771_seed_33047_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-23 23:12:06.546 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:12:06.548 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-23 23:13:10.318 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000001/group_0/index_6771_seed_33048_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-23 23:13:10.971 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-23 23:13:11.111 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-23 23:13:11.873 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-04-23 23:15:04.949 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.96s (1.88min)
+2026-04-23 23:15:05.604 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 1: training:  50%|█████     | 1/2 [03:25<03:25, 205.73s/it]               2026-04-23 23:22:00.774 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 2, train_steps: 80
+Global Step 1: training: 100%|██████████| 2/2 [06:55<00:00, 207.59s/it]:10, 10.13s/it]
+2026-04-23 23:22:01.366 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 2	train_steps 80	{'step': '2/10000', 'learning_rate': '0.00001000', 'loss': '1.101e-07', 'grad_norm': '0.00499959', 'KL_weight': '0.00000792', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.52392578', 'grpo_loop_time': '415.17968750', 'ref_model_time': '112.95728302', 'approx_kl': '2.557e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.036e-07', 'kl_loss': '0.00077680', 'kl_moving': '0.00077680', 'kl_stepwise': '7.480e-10', 'gathered_avg_reward_mean': '-1.11529374', 'gathered_avg_reward_std': '0.77557594', 'gathered_videoalign_local_mq_reward_mean': '-1.00408602', 'gathered_videoalign_local_mq_reward_std': '0.24570206', 'gathered_videoalign_local_overall_reward_mean': '-2.25116062', 'gathered_videoalign_local_overall_reward_std': '0.93256325', 'gathered_videoalign_local_ta_reward_mean': '0.02057345', 'gathered_videoalign_local_ta_reward_std': '0.67064959', 'gathered_videoalign_local_vq_reward_mean': '-1.26764822', 'gathered_videoalign_local_vq_reward_std': '0.34509057', 'gathered_ori_avg_reward_mean': '-1.11529362', 'gathered_ori_avg_reward_std': '0.77557594'}
+2026-04-23 23:22:01.406 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-23 23:22:01.497 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:22:01.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-23 23:23:06.319 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000002/group_0/index_5387_seed_9522_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-23 23:23:06.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:23:06.971 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-23 23:24:10.711 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000002/group_0/index_5387_seed_9523_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-23 23:24:11.377 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-23 23:24:11.521 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-23 23:24:12.354 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-23 23:26:04.847 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.44s (1.87min)
+2026-04-23 23:26:05.522 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 2: training:  50%|█████     | 1/2 [03:25<03:25, 205.20s/it]               2026-04-23 23:32:59.502 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 3, train_steps: 120
+Global Step 2: training: 100%|██████████| 2/2 [06:53<00:00, 207.00s/it]:10, 10.10s/it]
+2026-04-23 23:33:00.067 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 3	train_steps 120	{'step': '3/10000', 'learning_rate': '0.00001000', 'loss': '-6.985e-08', 'grad_norm': '0.00830500', 'KL_weight': '0.00000120', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.03404236', 'grpo_loop_time': '413.99478149', 'ref_model_time': '112.43914795', 'approx_kl': '2.340e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.171e-08', 'kl_loss': '0.00083733', 'kl_moving': '0.00083733', 'kl_stepwise': '1.099e-09', 'gathered_avg_reward_mean': '-0.98849046', 'gathered_avg_reward_std': '0.89776027', 'gathered_videoalign_local_mq_reward_mean': '-0.83463430', 'gathered_videoalign_local_mq_reward_std': '0.57079661', 'gathered_videoalign_local_overall_reward_mean': '-1.98933470', 'gathered_videoalign_local_overall_reward_std': '1.25479984', 'gathered_videoalign_local_ta_reward_mean': '0.01235367', 'gathered_videoalign_local_ta_reward_std': '0.63514626', 'gathered_videoalign_local_vq_reward_mean': '-1.16705406', 'gathered_videoalign_local_vq_reward_std': '0.36513323', 'gathered_ori_avg_reward_mean': '-0.98849046', 'gathered_ori_avg_reward_std': '0.89776027'}
+2026-04-23 23:33:00.105 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-23 23:33:00.195 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:33:00.195 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-23 23:34:04.769 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000003/group_0/index_3341_seed_10098_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-23 23:34:05.426 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-23 23:34:05.429 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-23 23:35:09.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000003/group_0/index_3341_seed_10099_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-23 23:35:09.863 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-23 23:35:09.911 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-23 23:35:10.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-23 23:37:04.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.29s (1.89min)
+2026-04-23 23:37:05.020 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 3: training:   0%|          | 0/2 [00:00<?, ?it/s]
+GRPO TimeStep Training, inner_step 1:   0%|          | 0/20 [00:00<?, ?it/s]
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/requirements.txt b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c1ce05732c3c94af40365b556df8b55f8e2e7707
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/requirements.txt
@@ -0,0 +1,280 @@
+awscli==1.44.69
+boto3==1.42.79
+botocore==1.42.79
+certifi==2026.2.25
+charset-normalizer==3.4.6
+colorama==0.4.6
+docutils==0.19
+idna==3.11
+jmespath==1.1.0
+pip==26.0.1
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.33.1
+rsa==4.7.2
+s3transfer==0.16.0
+six==1.17.0
+urllib3==2.6.3
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.11.1+cu130
+tifffile==2026.4.11
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.58.0
+sentencepiece==0.2.1
+regex==2026.4.4
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.4.1
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.0
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.0.1
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.1.2
+Mako==1.3.11
+loguru==0.7.3
+lmdb==2.2.0
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.4.0
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.3
+aiohappyeyeballs==2.6.1
+yarl==1.23.0
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.49
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+wheel==0.47.0
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+typeguard==4.5.1
+huggingface_hub==0.36.2
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.0.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.47
+diffusers==0.37.1
+coremltools==9.0
+alembic==1.18.4
+aiohttp==3.13.5
+wandb==0.26.1
+sniffio==1.3.1
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.25.17
+termcolor==3.3.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+torchdata==0.8.0
+torchaudio==2.10.0+cu130
+deepspeed==0.18.9
+timm==1.0.26
+pytorch-lightning==2.6.1
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.1
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.6.0
+shortuuid==1.0.13
+setuptools==82.0.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.14.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.13
+tiktoken==0.12.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+transformers==4.57.1
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.21.0
+onnx-ir==0.2.0
+onnxscript==0.6.2
+transformer_engine==2.9.0+70f5366
+zipp==3.23.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.13.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.13.0
+apsw==3.51.3.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.14.3
+blis==1.3.3
+catalogue==2.0.10
+cloudpathlib==0.23.0
+cloudpickle==3.1.2
+confection==1.3.3
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.12.34
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.5
+fasttransform==0.0.2
+fonttools==4.62.1
+grpcio==1.80.0
+h11==0.16.0
+hf-xet==1.4.3
+httpcore==1.0.9
+httptools==0.7.1
+httpx==0.28.1
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+Markdown==3.10.2
+markdown-it-py==4.0.0
+matplotlib==3.10.8
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.2
+plum-dispatch==2.8.0
+preshed==3.0.13
+protobuf==7.34.1
+pydantic==2.12.5
+pydantic_core==2.41.5
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.13.2
+python-multipart==0.0.22
+rich==14.3.3
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+safetensors==0.7.0
+scikit-learn==1.8.0
+shellingham==1.5.4
+smart_open==7.5.1
+soupsieve==2.8.3
+spacy==3.8.14
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.0.0
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.13
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+typer==0.24.1
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.42.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.1.1
+weasel==1.0.0
+websockets==16.0
+Werkzeug==3.1.7
+wrapt==2.1.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.3.1
+comm==0.2.3
+cryptography==46.0.6
+Cython==3.2.4
+debugpy==1.8.20
+decorator==5.2.1
+executing==2.2.1
+filelock==3.25.2
+h5py==3.16.0
+intel-cmplr-lib-ur==2025.3.3
+intel-openmp==2025.3.3
+ipykernel==7.2.0
+ipython==9.12.0
+ipython_pygments_lexers==1.1.1
+jedi==0.19.2
+Jinja2==3.1.6
+jupyter_client==8.8.0
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.1
+mkl==2025.3.1
+mkl-include==2025.3.1
+mpi4py==4.1.1
+nest-asyncio==1.6.0
+ninja==1.13.0
+onemkl-license==2025.3.1
+opencv-python==4.11.0.86
+packaging==26.0
+parso==0.8.6
+pexpect==4.9.0
+platformdirs==4.9.4
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.3
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.0.0
+pytz==2026.1.post1
+pyzmq==27.1.0
+scipy==1.17.1
+stack-data==0.6.3
+tbb==2022.3.1
+tcmlib==1.4.1
+tornado==6.5.5
+tqdm==4.67.3
+traitlets==5.14.3
+typing==3.7.4.3
+typing_extensions==4.15.0
+tzdata==2025.3
+umf==1.0.3
+wcwidth==0.6.0
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/wandb-metadata.json b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..22204ef2b8827b72337451b3ce90de36d91c5076
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/files/wandb-metadata.json
@@ -0,0 +1,145 @@
+{
+  "os":  "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.10",
+  "startedAt":  "2026-04-23T22:58:09.329742Z",
+  "args":  [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw004-flow-baseline",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "flow_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline"
+  ],
+  "program":  "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath":  "post_train.py",
+  "codePathLocal":  "post_train.py",
+  "git":  {
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+    "commit":  "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root":  "./outputs/yw004-flow-baseline/wandb",
+  "host":  "ywang29-hunyuan-flow-baseline-worker-0",
+  "username":  "yi-fan-wang1216",
+  "executable":  "/usr/local/bin/python",
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+  "cpu_count_logical":  96,
+  "gpu":  "NVIDIA A100-SXM4-80GB",
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+  "gpu_nvidia":  [
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+    },
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+      "architecture":  "Ampere",
+      "uuid":  "GPU-6f69ce6a-3c9a-38b8-bc51-a08c0283e014"
+    },
+    {
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+      "architecture":  "Ampere",
+      "uuid":  "GPU-a4de0bf5-2465-c5d8-2bb5-c96941a71171"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-d3b089d3-81bb-6588-e2cf-68bf440020ae"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-1c6abf41-becf-9f35-02bd-200585aa2402"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-c3f741b5-c54d-e58f-efed-3212e901ddfd"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-83b822bd-a54e-a38f-8d0a-32cbc05e9c5c"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-cd89dffb-c4de-b03d-1b52-11e264cef1bf"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "st43t6jqb1b9li7ly2y38otj71h998ej"
+}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..994bb7894775501afba6635a4daed01ab7ca2d79
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diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/logs/debug.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..9be0e5645af01af32e08a113d7396375aab14b07
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/logs/debug.log
@@ -0,0 +1,20 @@
+2026-04-23 22:58:09,354 INFO    MainThread:1794 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_setup.py:_flush():81] Configure stats pid to 1794
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_init.py:setup_run_log_directory():723] Logging user logs to outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/logs/debug.log
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to outputs/yw004-flow-baseline/wandb/wandb/run-20260423_225809-7bzi27an/logs/debug-internal.log
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_init.py:init():850] calling init triggers
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw004-flow-baseline', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline', 'save_interval': 100, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw004-flow-baseline', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 100, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': 'assets/demo_train.csv', 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'videoalign_local', 'reward_config': {'models': {'videoalign_local': {'weight': 1.0, 'sub_reward': {'VQ': 0.5, 'MQ': 0.5, 'TA': 1.0}}}, 'reward_checkpoint_mode': 'v3'}, 'reward_checkpoint_mode': 'v3', 'reward_weights': {'VQ': 0.5, 'MQ': 0.5, 'TA': 1.0}, 'remote_reward_url': None, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'flow_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-04-23 22:58:09,355 INFO    MainThread:1794 [wandb_init.py:init():898] starting backend
+2026-04-23 22:58:09,618 INFO    MainThread:1794 [wandb_init.py:init():913] sending inform_init request
+2026-04-23 22:58:09,851 INFO    MainThread:1794 [wandb_init.py:init():918] backend started and connected
+2026-04-23 22:58:09,854 INFO    MainThread:1794 [wandb_init.py:init():988] updated telemetry
+2026-04-23 22:58:09,885 INFO    MainThread:1794 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-04-23 22:58:10,447 INFO    MainThread:1794 [wandb_init.py:init():1051] run resumed
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+2026-04-23 22:58:10,640 INFO    MainThread:1794 [wandb_run.py:_console_start():2554] atexit reg
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+2026-04-23 22:58:10,640 INFO    MainThread:1794 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-04-23 22:58:10,642 INFO    MainThread:1794 [wandb_init.py:init():1094] run started, returning control to user process
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/output.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..f31c2f0bc43bc424fd4db1afb468b53a520f6ba6
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/output.log
@@ -0,0 +1,6091 @@
+2026-04-24 16:20:33.496 | INFO     | __main__:print_training_configuration:830 - SYSTEM & HARDWARE CONFIGURATION
+2026-04-24 16:20:33.499 | INFO     | __main__:print_training_configuration:831 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.499 | INFO     | __main__:print_training_configuration:832 - Number of GPUs                                   : 64
+2026-04-24 16:20:33.500 | INFO     | __main__:print_training_configuration:833 - Local rank                                       : 0
+2026-04-24 16:20:33.500 | INFO     | __main__:print_training_configuration:834 - Global rank                                      : 0
+2026-04-24 16:20:33.501 | INFO     | __main__:print_training_configuration:835 - Device                                           : cuda:0
+2026-04-24 16:20:33.501 | INFO     | __main__:print_training_configuration:836 - Master weight dtype                              : torch.float32
+2026-04-24 16:20:33.502 | INFO     | __main__:print_training_configuration:838 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.502 | INFO     | __main__:print_training_configuration:839 - MODEL PARAMETERS & ARCHITECTURE
+2026-04-24 16:20:33.503 | INFO     | __main__:print_training_configuration:840 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.514 | INFO     | __main__:print_training_configuration:843 - Number of total                                  : 8,326,608,160
+2026-04-24 16:20:33.515 | INFO     | __main__:print_training_configuration:844 - Total trainable parameters                        : 8,326,608,160
+2026-04-24 16:20:33.515 | INFO     | __main__:print_training_configuration:845 - DIT model root                                   : ./ckpts
+2026-04-24 16:20:33.516 | INFO     | __main__:print_training_configuration:846 - Transformer version                              : 480p_t2v
+2026-04-24 16:20:33.516 | INFO     | __main__:print_training_configuration:847 - Attention mode                                   : flash
+2026-04-24 16:20:33.516 | INFO     | __main__:print_training_configuration:848 - Gradient checkpointing                           : True
+2026-04-24 16:20:33.517 | INFO     | __main__:print_training_configuration:849 - FSDP enabled                                     : True
+2026-04-24 16:20:33.517 | INFO     | __main__:print_training_configuration:850 - LoRA enabled                                     : False
+2026-04-24 16:20:33.518 | INFO     | __main__:print_training_configuration:851 - Glyph byT5 v2                                    : True
+2026-04-24 16:20:33.518 | INFO     | __main__:print_training_configuration:852 - ByT5 max length                                  : 256
+2026-04-24 16:20:33.519 | INFO     | __main__:print_training_configuration:854 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.519 | INFO     | __main__:print_training_configuration:855 - DISTRIBUTED TRAINING CONFIGURATION
+2026-04-24 16:20:33.520 | INFO     | __main__:print_training_configuration:856 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.520 | INFO     | __main__:print_training_configuration:857 - World size                                       : 64
+2026-04-24 16:20:33.520 | INFO     | __main__:print_training_configuration:858 - DP degree                                        : 32
+2026-04-24 16:20:33.521 | INFO     | __main__:print_training_configuration:859 - DP rank                                          : 0
+2026-04-24 16:20:33.521 | INFO     | __main__:print_training_configuration:860 - SP size                                          : 2
+2026-04-24 16:20:33.522 | INFO     | __main__:print_training_configuration:861 - SP rank                                          : 0
+2026-04-24 16:20:33.522 | INFO     | __main__:print_training_configuration:863 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.523 | INFO     | __main__:print_training_configuration:864 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-04-24 16:20:33.523 | INFO     | __main__:print_training_configuration:865 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.524 | INFO     | __main__:print_training_configuration:866 - Per GPU batch size                               : 2
+2026-04-24 16:20:33.524 | INFO     | __main__:print_training_configuration:867 - DP degree batch size                             : 64
+2026-04-24 16:20:33.525 | INFO     | __main__:print_training_configuration:868 - Gradient accumulation steps                      : 1
+2026-04-24 16:20:33.525 | INFO     | __main__:print_training_configuration:869 - Num generations                                  : 4
+2026-04-24 16:20:33.526 | INFO     | __main__:print_training_configuration:870 - Use same noise                                   : False
+2026-04-24 16:20:33.526 | INFO     | __main__:print_training_configuration:871 - Num workers                                      : 4
+2026-04-24 16:20:33.527 | INFO     | __main__:print_training_configuration:872 - Prefetch factor                                  : 2
+2026-04-24 16:20:33.527 | INFO     | __main__:print_training_configuration:874 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.528 | INFO     | __main__:print_training_configuration:875 - OPTIMIZATION CONFIGURATION
+2026-04-24 16:20:33.528 | INFO     | __main__:print_training_configuration:876 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.529 | INFO     | __main__:print_training_configuration:877 - Optimizer                                        : muon
+2026-04-24 16:20:33.529 | INFO     | __main__:print_training_configuration:878 - Learning rate                                    : 1e-05
+2026-04-24 16:20:33.529 | INFO     | __main__:print_training_configuration:879 - Weight decay                                     : 0.01
+2026-04-24 16:20:33.530 | INFO     | __main__:print_training_configuration:880 - Max gradient norm                                : 1.0
+2026-04-24 16:20:33.530 | INFO     | __main__:print_training_configuration:881 - LR scheduler                                     : constant
+2026-04-24 16:20:33.531 | INFO     | __main__:print_training_configuration:882 - Warmup steps                                     : 500
+2026-04-24 16:20:33.531 | INFO     | __main__:print_training_configuration:883 - Max training steps                               : 10000
+2026-04-24 16:20:33.532 | INFO     | __main__:print_training_configuration:885 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.532 | INFO     | __main__:print_training_configuration:886 - INFERENCE & VALIDATION CONFIGURATION
+2026-04-24 16:20:33.532 | INFO     | __main__:print_training_configuration:887 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.533 | INFO     | __main__:print_training_configuration:888 - Validation interval                              : 100
+2026-04-24 16:20:33.533 | INFO     | __main__:print_training_configuration:889 - Validate at step 0                               : False
+2026-04-24 16:20:33.534 | INFO     | __main__:print_training_configuration:890 - Validation video length                          : 121
+2026-04-24 16:20:33.534 | INFO     | __main__:print_training_configuration:891 - Validation global seed                           : 930
+2026-04-24 16:20:33.535 | INFO     | __main__:print_training_configuration:892 - Validation inference steps                        : 40
+2026-04-24 16:20:33.535 | INFO     | __main__:print_training_configuration:893 - Validation aspect ratio                          : 16:9
+2026-04-24 16:20:33.536 | INFO     | __main__:print_training_configuration:894 - Validation fixed size                            : 480x864
+2026-04-24 16:20:33.536 | INFO     | __main__:print_training_configuration:895 - Validation prompt rewrite                         : False
+2026-04-24 16:20:33.537 | INFO     | __main__:print_training_configuration:896 - Validation flow shift                             : 5.0
+2026-04-24 16:20:33.537 | INFO     | __main__:print_training_configuration:897 - Sampling CFG scale                                : 6.0
+2026-04-24 16:20:33.537 | INFO     | __main__:print_training_configuration:898 - Sampling eta                                      : 0.5
+2026-04-24 16:20:33.538 | INFO     | __main__:print_training_configuration:899 - Sampling steps (GRPO rollout)                     : 20
+2026-04-24 16:20:33.538 | INFO     | __main__:print_training_configuration:900 - SDE type                                          : flow_grpo
+2026-04-24 16:20:33.539 | INFO     | __main__:print_training_configuration:902 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.539 | INFO     | __main__:print_training_configuration:903 - GRPO & KL CONFIGURATION
+2026-04-24 16:20:33.540 | INFO     | __main__:print_training_configuration:904 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.540 | INFO     | __main__:print_training_configuration:905 - Reward model                                     : videoalign_local
+2026-04-24 16:20:33.541 | INFO     | __main__:print_training_configuration:906 - Reward checkpoint mode                           : v3
+2026-04-24 16:20:33.541 | INFO     | __main__:print_training_configuration:907 - KL weight                                        : 1e-05
+2026-04-24 16:20:33.542 | INFO     | __main__:print_training_configuration:908 - KL coef                                          : 1e-07
+2026-04-24 16:20:33.542 | INFO     | __main__:print_training_configuration:909 - Use moving KL                                    : True
+2026-04-24 16:20:33.542 | INFO     | __main__:print_training_configuration:910 - Update ref model step                            : 10
+2026-04-24 16:20:33.543 | INFO     | __main__:print_training_configuration:911 - Use dual KL                                      : True
+2026-04-24 16:20:33.543 | INFO     | __main__:print_training_configuration:912 - Dual KL moving weight                            : 1.0
+2026-04-24 16:20:33.544 | INFO     | __main__:print_training_configuration:913 - Dual KL step weight                              : 0.1
+2026-04-24 16:20:33.544 | INFO     | __main__:print_training_configuration:914 - KL compute mode                                  : rollout_phase
+2026-04-24 16:20:33.545 | INFO     | __main__:print_training_configuration:915 - Use grad balancing                               : True
+2026-04-24 16:20:33.545 | INFO     | __main__:print_training_configuration:916 - Enable timestep permutation                      : True
+2026-04-24 16:20:33.545 | INFO     | __main__:print_training_configuration:917 - Reference mode offload                           : True
+2026-04-24 16:20:33.546 | INFO     | __main__:print_training_configuration:919 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.546 | INFO     | __main__:print_training_configuration:920 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-04-24 16:20:33.547 | INFO     | __main__:print_training_configuration:921 - --------------------------------------------------------------------------------
+2026-04-24 16:20:33.547 | INFO     | __main__:print_training_configuration:922 - Output directory                                 : ./outputs/yw004-flow-baseline
+2026-04-24 16:20:33.548 | INFO     | __main__:print_training_configuration:923 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline
+2026-04-24 16:20:33.548 | INFO     | __main__:print_training_configuration:924 - Checkpoint interval                              : 100
+2026-04-24 16:20:33.549 | INFO     | __main__:print_training_configuration:925 - Log interval                                     : 1
+2026-04-24 16:20:33.549 | INFO     | __main__:print_training_configuration:926 - Resume checkpoint                                : None
+2026-04-24 16:20:33.550 | INFO     | __main__:print_training_configuration:927 - Train CSV                                         : assets/demo_train.csv
+2026-04-24 16:20:33.550 | INFO     | __main__:print_training_configuration:928 - Valid CSV                                         : assets/demo_sample.csv
+2026-04-24 16:20:33.551 | INFO     | __main__:print_training_configuration:929 - Seed                                             : 42
+2026-04-24 16:20:33.551 | INFO     | __main__:print_training_configuration:930 - WandB enabled                                    : True
+2026-04-24 16:20:33.551 | INFO     | __main__:print_training_configuration:932 - WandB project                                    : SAGE-GRPO
+2026-04-24 16:20:33.552 | INFO     | __main__:print_training_configuration:933 - WandB run name                                   : yw004-flow-baseline
+2026-04-24 16:20:33.552 | INFO     | __main__:__init__:818 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-04-24 16:20:33.553 | INFO     | __main__:_build_video_dataset:1675 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-04-24 16:20:33.871 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1171 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-04-24 16:20:33.875 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1198 - Dataloader init done
+2026-04-24 16:20:33.875 | INFO     | __main__:_train_grpo:1751 - Starting GRPO training...
+2026-04-24 16:20:33.876 | INFO     | __main__:_train_grpo:1752 - Max steps: 10000
+2026-04-24 16:20:33.876 | INFO     | __main__:_train_grpo:1753 - Batch size: 2
+2026-04-24 16:20:33.877 | INFO     | __main__:_train_grpo:1754 - Learning rate: 1e-05
+Iterator of DistributedSamplerWithStartIndex created.
+2026-04-24 16:20:35.579 | INFO     | __main__:_train_grpo:1780 - [FLAG] post_train train path -> train_one_step
+2026-04-24 16:22:55.302 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 16:22:55.413 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:22:55.417 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:13,  3.70s/it][01:13<00:00,  2.84s/it]
+100%|██████████| 20/20 [01:13<00:00,  3.70s/it]
+2026-04-24 16:24:17.203 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000000/group_0/index_7542_seed_28576_dp_0_rank_0_sample_0_slot_0.mp4
+qwen-vl-utils using torchvision to read video.
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+2026-04-24 16:24:18.063 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:24:18.064 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.83s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.83s/it]
+2026-04-24 16:25:21.885 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000000/group_0/index_7542_seed_28577_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 16:25:22.589 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
+2026-04-24 16:25:28.955 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 16:25:38.292 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.87s/it]
+2026-04-24 16:27:33.392 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.00s (1.92min)
+2026-04-24 16:27:34.045 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 0: training:   0%|          | 0/2 [00:00<?, ?it/s]              2026-04-24 16:27:37.085 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1545 - Rank 0, sp_rank 0: init adaptive KL controller (init=1.000e-07, min=1.000e-07, max=1.000e-05)
+Global Step 0: training:  50%|█████     | 1/2 [03:40<03:40, 221.00s/it]it/s]          2026-04-24 16:34:45.895 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 1, train_steps: 40
+Global Step 0: training: 100%|██████████| 2/2 [07:11<00:00, 215.92s/it]:10, 10.10s/it]
+2026-04-24 16:34:46.425 | INFO     | __main__:_log_precision_diagnostics_once:1372 - [PrecisionDiag] trainable param dtypes: ['torch.float32']
+2026-04-24 16:34:46.425 | INFO     | __main__:_log_precision_diagnostics_once:1375 - [PrecisionDiag] Using composable FSDP2 mixed precision (param_dtype=bf16, reduce_dtype=float32). This path does not maintain an explicit FP32 master-weight copy for parameters.
+2026-04-24 16:34:46.428 | INFO     | __main__:_log_precision_diagnostics_once:1388 - [PrecisionDiag] optimizer tensor-state dtypes: ['torch.float32'] (count=2804)
+2026-04-24 16:34:46.429 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 1	train_steps 40	{'step': '1/10000', 'learning_rate': '0.00001000', 'loss': '1.211e-08', 'grad_norm': '0.00339667', 'KL_weight': '0.00000396', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '278.64544678', 'grpo_loop_time': '431.83871460', 'ref_model_time': '114.99955750', 'approx_kl': '2.334e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.382e-09', 'kl_loss': '0.00072402', 'kl_moving': '0.00072402', 'kl_stepwise': '2.037e-10', 'gathered_avg_reward_mean': '-0.89915198', 'gathered_avg_reward_std': '0.74858731', 'gathered_videoalign_local_mq_reward_mean': '-0.86879563', 'gathered_videoalign_local_mq_reward_std': '0.22306889', 'gathered_videoalign_local_overall_reward_mean': '-1.92974079', 'gathered_videoalign_local_overall_reward_std': '0.89075089', 'gathered_videoalign_local_ta_reward_mean': '0.13143674', 'gathered_videoalign_local_ta_reward_std': '0.65268672', 'gathered_videoalign_local_vq_reward_mean': '-1.19238174', 'gathered_videoalign_local_vq_reward_std': '0.27769741', 'gathered_ori_avg_reward_mean': '-0.89915204', 'gathered_ori_avg_reward_std': '0.74858731'}
+2026-04-24 16:34:46.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 16:34:46.564 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:34:46.569 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 16:35:51.527 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000001/group_0/index_6771_seed_33047_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 16:35:52.149 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:35:52.151 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 16:36:56.213 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000001/group_0/index_6771_seed_33048_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 16:36:56.816 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 16:36:56.958 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 16:36:57.758 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-24 16:38:52.696 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.83s (1.91min)
+2026-04-24 16:38:53.438 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 1: training:  50%|█████     | 1/2 [03:27<03:27, 207.35s/it]               2026-04-24 16:45:50.556 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 2, train_steps: 80
+Global Step 1: training: 100%|██████████| 2/2 [06:57<00:00, 208.54s/it]:10, 10.15s/it]
+2026-04-24 16:45:51.142 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 2	train_steps 80	{'step': '2/10000', 'learning_rate': '0.00001000', 'loss': '-1.206e-07', 'grad_norm': '0.00407983', 'KL_weight': '0.00000792', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.79852295', 'grpo_loop_time': '417.09338379', 'ref_model_time': '114.83194733', 'approx_kl': '2.632e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.318e-07', 'kl_loss': '0.00078179', 'kl_moving': '0.00078179', 'kl_stepwise': '6.257e-11', 'gathered_avg_reward_mean': '-1.13176799', 'gathered_avg_reward_std': '0.82378316', 'gathered_videoalign_local_mq_reward_mean': '-1.01365805', 'gathered_videoalign_local_mq_reward_std': '0.21073920', 'gathered_videoalign_local_overall_reward_mean': '-2.26921725', 'gathered_videoalign_local_overall_reward_std': '0.96429795', 'gathered_videoalign_local_ta_reward_mean': '0.00568126', 'gathered_videoalign_local_ta_reward_std': '0.73277926', 'gathered_videoalign_local_vq_reward_mean': '-1.26124048', 'gathered_videoalign_local_vq_reward_std': '0.33856702', 'gathered_ori_avg_reward_mean': '-1.13176799', 'gathered_ori_avg_reward_std': '0.82378316'}
+2026-04-24 16:45:51.183 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 16:45:51.273 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:45:51.276 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 16:46:56.369 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000002/group_0/index_5387_seed_9522_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 16:46:57.052 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:46:57.052 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-24 16:48:00.850 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000002/group_0/index_5387_seed_9523_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 16:48:01.526 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 16:48:01.668 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 16:48:02.803 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.24s/it]
+2026-04-24 16:49:56.860 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.95s (1.90min)
+2026-04-24 16:49:57.542 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 2: training:  50%|█████     | 1/2 [03:26<03:26, 206.74s/it]               2026-04-24 16:56:53.863 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 3, train_steps: 120
+Global Step 2: training: 100%|██████████| 2/2 [06:56<00:00, 208.16s/it]:10, 10.13s/it]
+2026-04-24 16:56:54.365 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 3	train_steps 120	{'step': '3/10000', 'learning_rate': '0.00001000', 'loss': '-9.313e-09', 'grad_norm': '0.00754226', 'KL_weight': '0.00000120', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.27723694', 'grpo_loop_time': '416.32397461', 'ref_model_time': '113.94801331', 'approx_kl': '2.162e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.164e-08', 'kl_loss': '0.00082764', 'kl_moving': '0.00082764', 'kl_stepwise': '5.384e-10', 'gathered_avg_reward_mean': '-1.01977003', 'gathered_avg_reward_std': '0.94815123', 'gathered_videoalign_local_mq_reward_mean': '-0.81514513', 'gathered_videoalign_local_mq_reward_std': '0.57437706', 'gathered_videoalign_local_overall_reward_mean': '-2.00329018', 'gathered_videoalign_local_overall_reward_std': '1.32635748', 'gathered_videoalign_local_ta_reward_mean': '-0.03624989', 'gathered_videoalign_local_ta_reward_std': '0.64969587', 'gathered_videoalign_local_vq_reward_mean': '-1.15189517', 'gathered_videoalign_local_vq_reward_std': '0.36210373', 'gathered_ori_avg_reward_mean': '-1.01977003', 'gathered_ori_avg_reward_std': '0.94815123'}
+2026-04-24 16:56:54.475 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 16:56:54.560 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:56:54.562 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 16:57:59.219 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000003/group_0/index_3341_seed_10098_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 16:57:59.857 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 16:57:59.860 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-24 16:59:04.666 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000003/group_0/index_3341_seed_10099_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 16:59:05.293 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 16:59:05.435 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 16:59:06.401 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-04-24 17:01:00.070 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.67s (1.89min)
+2026-04-24 17:01:00.910 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 3: training:  50%|█████     | 1/2 [03:27<03:27, 207.40s/it]               2026-04-24 17:07:58.028 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 4, train_steps: 160
+Global Step 3: training: 100%|██████████| 2/2 [06:56<00:00, 208.48s/it]:10, 10.14s/it]
+2026-04-24 17:07:58.609 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 4	train_steps 160	{'step': '4/10000', 'learning_rate': '0.00001000', 'loss': '-5.774e-08', 'grad_norm': '0.00465198', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.20922852', 'grpo_loop_time': '416.96414185', 'ref_model_time': '113.66840363', 'approx_kl': '2.613e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.774e-08', 'kl_loss': '0.00080355', 'kl_moving': '0.00080355', 'kl_stepwise': '1.342e-09', 'gathered_avg_reward_mean': '-1.31599498', 'gathered_avg_reward_std': '0.68126363', 'gathered_videoalign_local_mq_reward_mean': '-0.91447634', 'gathered_videoalign_local_mq_reward_std': '0.24677923', 'gathered_videoalign_local_overall_reward_mean': '-2.36161661', 'gathered_videoalign_local_overall_reward_std': '0.81480038', 'gathered_videoalign_local_ta_reward_mean': '-0.27037370', 'gathered_videoalign_local_ta_reward_std': '0.60593885', 'gathered_videoalign_local_vq_reward_mean': '-1.17676628', 'gathered_videoalign_local_vq_reward_std': '0.29096079', 'gathered_ori_avg_reward_mean': '-1.31599510', 'gathered_ori_avg_reward_std': '0.68126363'}
+2026-04-24 17:07:58.649 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 17:07:58.741 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:07:58.744 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 17:09:03.537 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000004/group_0/index_4150_seed_30223_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 17:09:04.606 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:09:04.609 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 17:10:08.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000004/group_0/index_4150_seed_30224_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 17:10:09.709 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 17:10:09.847 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 17:10:10.708 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.22s/it]
+2026-04-24 17:12:03.855 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-04-24 17:12:04.653 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 4: training:  50%|█████     | 1/2 [03:24<03:24, 204.71s/it]               2026-04-24 17:18:58.988 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 5, train_steps: 200
+Global Step 4: training: 100%|██████████| 2/2 [06:54<00:00, 207.16s/it]:10, 10.16s/it]
+2026-04-24 17:18:59.551 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 5	train_steps 200	{'step': '5/10000', 'learning_rate': '0.00001000', 'loss': '-6.706e-08', 'grad_norm': '0.00459288', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.82286072', 'grpo_loop_time': '414.31402588', 'ref_model_time': '113.14359283', 'approx_kl': '2.379e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.706e-08', 'kl_loss': '0.00076689', 'kl_moving': '0.00076689', 'kl_stepwise': '1.008e-09', 'gathered_avg_reward_mean': '-1.21510625', 'gathered_avg_reward_std': '0.66799986', 'gathered_videoalign_local_mq_reward_mean': '-0.95244521', 'gathered_videoalign_local_mq_reward_std': '0.20196904', 'gathered_videoalign_local_overall_reward_mean': '-2.32463264', 'gathered_videoalign_local_overall_reward_std': '0.73055828', 'gathered_videoalign_local_ta_reward_mean': '-0.10557988', 'gathered_videoalign_local_ta_reward_std': '0.63162404', 'gathered_videoalign_local_vq_reward_mean': '-1.26660764', 'gathered_videoalign_local_vq_reward_std': '0.19369227', 'gathered_ori_avg_reward_mean': '-1.21510625', 'gathered_ori_avg_reward_std': '0.66799986'}
+2026-04-24 17:18:59.596 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 17:18:59.691 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:18:59.694 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 17:20:04.642 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000005/group_0/index_7254_seed_11671_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 17:20:05.246 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:20:05.247 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-24 17:21:08.951 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000005/group_0/index_7254_seed_11672_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 17:21:09.669 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 17:21:09.809 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 17:21:10.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.04s/it]
+2026-04-24 17:23:03.905 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.18s (1.89min)
+2026-04-24 17:23:04.736 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 5: training:  50%|█████     | 1/2 [03:24<03:24, 204.78s/it]               2026-04-24 17:29:59.798 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 6, train_steps: 240
+Global Step 5: training: 100%|██████████| 2/2 [06:55<00:00, 207.53s/it]:10, 10.16s/it]
+2026-04-24 17:30:00.402 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 6	train_steps 240	{'step': '6/10000', 'learning_rate': '0.00001000', 'loss': '5.285e-08', 'grad_norm': '0.00403494', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.96368408', 'grpo_loop_time': '415.06549072', 'ref_model_time': '113.17910767', 'approx_kl': '2.491e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.285e-08', 'kl_loss': '0.00073209', 'kl_moving': '0.00073209', 'kl_stepwise': '8.484e-10', 'gathered_avg_reward_mean': '-1.01755595', 'gathered_avg_reward_std': '0.65485311', 'gathered_videoalign_local_mq_reward_mean': '-0.82998574', 'gathered_videoalign_local_mq_reward_std': '0.47703528', 'gathered_videoalign_local_overall_reward_mean': '-2.00315642', 'gathered_videoalign_local_overall_reward_std': '0.92051798', 'gathered_videoalign_local_ta_reward_mean': '-0.03195550', 'gathered_videoalign_local_ta_reward_std': '0.50604796', 'gathered_videoalign_local_vq_reward_mean': '-1.14121532', 'gathered_videoalign_local_vq_reward_std': '0.29341748', 'gathered_ori_avg_reward_mean': '-1.01755595', 'gathered_ori_avg_reward_std': '0.65485317'}
+2026-04-24 17:30:00.461 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 17:30:00.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:30:00.563 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 17:31:05.744 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000006/group_0/index_3113_seed_32440_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 17:31:06.408 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:31:06.408 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 17:32:10.421 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000006/group_0/index_3113_seed_32441_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 17:32:11.140 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 17:32:11.283 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 17:32:12.027 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-24 17:34:05.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.46s (1.89min)
+2026-04-24 17:34:06.350 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 6: training:  50%|█████     | 1/2 [03:25<03:25, 205.46s/it]               2026-04-24 17:41:01.315 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 7, train_steps: 280
+Global Step 6: training: 100%|██████████| 2/2 [06:54<00:00, 207.49s/it]:10, 10.15s/it]
+2026-04-24 17:41:01.964 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 7	train_steps 280	{'step': '7/10000', 'learning_rate': '0.00001000', 'loss': '-1.327e-08', 'grad_norm': '0.00376785', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.80654907', 'grpo_loop_time': '414.97412109', 'ref_model_time': '113.46185303', 'approx_kl': '2.230e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.327e-08', 'kl_loss': '0.00077755', 'kl_moving': '0.00077755', 'kl_stepwise': '1.371e-09', 'gathered_avg_reward_mean': '-1.39813173', 'gathered_avg_reward_std': '0.95845991', 'gathered_videoalign_local_mq_reward_mean': '-0.84951633', 'gathered_videoalign_local_mq_reward_std': '0.30251437', 'gathered_videoalign_local_overall_reward_mean': '-2.41023016', 'gathered_videoalign_local_overall_reward_std': '1.13991678', 'gathered_videoalign_local_ta_reward_mean': '-0.38603324', 'gathered_videoalign_local_ta_reward_std': '0.82410270', 'gathered_videoalign_local_vq_reward_mean': '-1.17468047', 'gathered_videoalign_local_vq_reward_std': '0.31111142', 'gathered_ori_avg_reward_mean': '-1.39813161', 'gathered_ori_avg_reward_std': '0.95845991'}
+2026-04-24 17:41:02.012 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 17:41:02.102 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:41:02.156 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 17:42:06.927 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000007/group_0/index_7447_seed_24478_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 17:42:07.513 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:42:07.519 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-24 17:43:12.237 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000007/group_0/index_7447_seed_24479_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 17:43:13.039 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 17:43:13.177 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 17:43:13.932 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.79s/it]
+2026-04-24 17:45:07.651 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.59s (1.89min)
+2026-04-24 17:45:08.379 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 7: training:  50%|█████     | 1/2 [03:25<03:25, 205.30s/it]               2026-04-24 17:52:03.919 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 8, train_steps: 320
+Global Step 7: training: 100%|██████████| 2/2 [06:55<00:00, 207.77s/it]:10, 10.15s/it]
+2026-04-24 17:52:04.563 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 8	train_steps 320	{'step': '8/10000', 'learning_rate': '0.00001000', 'loss': '1.052e-07', 'grad_norm': '0.00576969', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.28439331', 'grpo_loop_time': '415.56774902', 'ref_model_time': '113.58824921', 'approx_kl': '2.362e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.052e-07', 'kl_loss': '0.00079403', 'kl_moving': '0.00079403', 'kl_stepwise': '1.457e-09', 'gathered_avg_reward_mean': '-1.20725274', 'gathered_avg_reward_std': '0.75557154', 'gathered_videoalign_local_mq_reward_mean': '-0.88373423', 'gathered_videoalign_local_mq_reward_std': '0.35249820', 'gathered_videoalign_local_overall_reward_mean': '-2.25098753', 'gathered_videoalign_local_overall_reward_std': '0.94023973', 'gathered_videoalign_local_ta_reward_mean': '-0.16351782', 'gathered_videoalign_local_ta_reward_std': '0.62679774', 'gathered_videoalign_local_vq_reward_mean': '-1.20373535', 'gathered_videoalign_local_vq_reward_std': '0.25042754', 'gathered_ori_avg_reward_mean': '-1.20725262', 'gathered_ori_avg_reward_std': '0.75557154'}
+2026-04-24 17:52:04.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 17:52:04.743 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:52:04.775 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 17:53:09.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000008/group_0/index_9339_seed_18934_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 17:53:10.225 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 17:53:10.230 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-24 17:54:14.971 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000008/group_0/index_9339_seed_18935_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 17:54:15.733 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 17:54:15.876 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 17:54:16.682 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.56s/it]
+2026-04-24 17:56:11.424 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.65s (1.91min)
+2026-04-24 17:56:12.154 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 8: training:  50%|█████     | 1/2 [03:25<03:25, 205.49s/it]               2026-04-24 18:03:07.478 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 9, train_steps: 360
+Global Step 8: training: 100%|██████████| 2/2 [06:55<00:00, 207.67s/it]:10, 10.15s/it]
+2026-04-24 18:03:08.097 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 9	train_steps 360	{'step': '9/10000', 'learning_rate': '0.00001000', 'loss': '5.774e-08', 'grad_norm': '0.00821863', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.43197632', 'grpo_loop_time': '415.33343506', 'ref_model_time': '114.65319824', 'approx_kl': '2.429e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.774e-08', 'kl_loss': '0.00071275', 'kl_moving': '0.00071275', 'kl_stepwise': '1.591e-09', 'gathered_avg_reward_mean': '-1.06328750', 'gathered_avg_reward_std': '0.69990033', 'gathered_videoalign_local_mq_reward_mean': '-0.79709250', 'gathered_videoalign_local_mq_reward_std': '0.42287216', 'gathered_videoalign_local_overall_reward_mean': '-2.03969574', 'gathered_videoalign_local_overall_reward_std': '0.83940101', 'gathered_videoalign_local_ta_reward_mean': '-0.08687917', 'gathered_videoalign_local_ta_reward_std': '0.67030346', 'gathered_videoalign_local_vq_reward_mean': '-1.15572405', 'gathered_videoalign_local_vq_reward_std': '0.23999794', 'gathered_ori_avg_reward_mean': '-1.06328750', 'gathered_ori_avg_reward_std': '0.69990033'}
+2026-04-24 18:03:08.141 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 18:03:08.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:03:08.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 18:04:13.324 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000009/group_0/index_3943_seed_33139_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 18:04:14.486 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:04:14.490 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 18:05:18.590 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000009/group_0/index_3943_seed_33140_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 18:05:19.461 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 18:05:19.604 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 18:05:20.389 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.10s/it]
+2026-04-24 18:07:15.353 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.73s (1.91min)
+2026-04-24 18:07:16.100 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 9: training:  50%|█████     | 1/2 [03:25<03:25, 205.60s/it]               2026-04-24 18:14:11.325 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 10, train_steps: 400
+Global Step 9: training: 100%|██████████| 2/2 [06:55<00:00, 207.61s/it]:10, 10.14s/it]
+2026-04-24 18:14:11.939 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 10	train_steps 400	{'step': '10/10000', 'learning_rate': '0.00001000', 'loss': '8.009e-08', 'grad_norm': '0.00643259', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.87460327', 'grpo_loop_time': '415.22259521', 'ref_model_time': '114.72581482', 'approx_kl': '2.550e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.009e-08', 'kl_loss': '0.00079931', 'kl_moving': '0.00079931', 'kl_stepwise': '7.974e-10', 'gathered_avg_reward_mean': '-1.09099329', 'gathered_avg_reward_std': '0.81512547', 'gathered_videoalign_local_mq_reward_mean': '-0.78612506', 'gathered_videoalign_local_mq_reward_std': '0.33473697', 'gathered_videoalign_local_overall_reward_mean': '-2.08339930', 'gathered_videoalign_local_overall_reward_std': '0.94333446', 'gathered_videoalign_local_ta_reward_mean': '-0.09858702', 'gathered_videoalign_local_ta_reward_std': '0.73384827', 'gathered_videoalign_local_vq_reward_mean': '-1.19868731', 'gathered_videoalign_local_vq_reward_std': '0.26706651', 'gathered_ori_avg_reward_mean': '-1.09099329', 'gathered_ori_avg_reward_std': '0.81512547'}
+2026-04-24 18:14:46.548 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=10 (missing=0, unexpected=0)
+2026-04-24 18:14:48.649 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 18:14:48.761 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:14:48.808 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-04-24 18:15:54.942 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000010/group_0/index_7446_seed_6033_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 18:15:55.572 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:15:55.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 18:17:00.054 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000010/group_0/index_7446_seed_6034_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 18:17:00.685 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 18:17:00.826 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 18:17:01.780 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.28s/it]
+2026-04-24 18:18:56.314 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.28s (1.90min)
+2026-04-24 18:18:57.068 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 10: training:  50%|█████     | 1/2 [03:25<03:25, 205.50s/it]              2026-04-24 18:25:52.439 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 11, train_steps: 440
+Global Step 10: training: 100%|██████████| 2/2 [06:55<00:00, 207.62s/it]10, 10.15s/it]
+2026-04-24 18:25:56.232 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 11	train_steps 440	{'step': '11/10000', 'learning_rate': '0.00001000', 'loss': '2.701e-08', 'grad_norm': '0.02100240', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '248.33666992', 'grpo_loop_time': '418.53179932', 'ref_model_time': '114.28272247', 'approx_kl': '2.250e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.701e-08', 'kl_loss': '0.00089029', 'kl_moving': '0.00089029', 'kl_stepwise': '1.141e-09', 'gathered_avg_reward_mean': '-1.26493335', 'gathered_avg_reward_std': '0.70054358', 'gathered_videoalign_local_mq_reward_mean': '-0.91754889', 'gathered_videoalign_local_mq_reward_std': '0.27959070', 'gathered_videoalign_local_overall_reward_mean': '-2.33466911', 'gathered_videoalign_local_overall_reward_std': '0.87624186', 'gathered_videoalign_local_ta_reward_mean': '-0.19519740', 'gathered_videoalign_local_ta_reward_std': '0.59129381', 'gathered_videoalign_local_vq_reward_mean': '-1.22192299', 'gathered_videoalign_local_vq_reward_std': '0.32776690', 'gathered_ori_avg_reward_mean': '-1.26493335', 'gathered_ori_avg_reward_std': '0.70054358'}
+2026-04-24 18:25:57.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 18:25:57.195 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:26:00.499 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-24 18:27:11.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000011/group_0/index_6954_seed_18434_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 18:27:12.174 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:27:12.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-24 18:28:16.931 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000011/group_0/index_6954_seed_18435_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 18:28:17.701 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 18:28:17.841 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 18:28:18.726 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-04-24 18:30:13.546 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.59s (1.91min)
+2026-04-24 18:30:14.357 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 11: training:  50%|█████     | 1/2 [03:24<03:24, 204.85s/it]              2026-04-24 18:37:08.684 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 12, train_steps: 480
+Global Step 11: training: 100%|██████████| 2/2 [06:54<00:00, 207.15s/it]10, 10.14s/it]
+2026-04-24 18:37:09.334 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 12	train_steps 480	{'step': '12/10000', 'learning_rate': '0.00001000', 'loss': '7.893e-08', 'grad_norm': '0.00571106', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '257.16784668', 'grpo_loop_time': '414.30139160', 'ref_model_time': '114.58799744', 'approx_kl': '2.496e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.893e-08', 'kl_loss': '0.00079662', 'kl_moving': '0.00079662', 'kl_stepwise': '1.115e-09', 'gathered_avg_reward_mean': '-1.04268622', 'gathered_avg_reward_std': '0.84643269', 'gathered_videoalign_local_mq_reward_mean': '-0.84004408', 'gathered_videoalign_local_mq_reward_std': '0.33847582', 'gathered_videoalign_local_overall_reward_mean': '-2.00559568', 'gathered_videoalign_local_overall_reward_std': '1.08899343', 'gathered_videoalign_local_ta_reward_mean': '-0.07977702', 'gathered_videoalign_local_ta_reward_std': '0.67970276', 'gathered_videoalign_local_vq_reward_mean': '-1.08577430', 'gathered_videoalign_local_vq_reward_std': '0.36882496', 'gathered_ori_avg_reward_mean': '-1.04268634', 'gathered_ori_avg_reward_std': '0.84643275'}
+2026-04-24 18:37:09.384 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 18:37:09.474 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:37:09.560 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 18:38:14.404 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000012/group_0/index_728_seed_22358_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 18:38:14.993 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:38:14.997 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 18:39:19.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000012/group_0/index_728_seed_22359_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 18:39:20.086 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 18:39:20.203 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 18:39:21.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-04-24 18:41:14.915 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.62s (1.89min)
+2026-04-24 18:41:15.666 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 12: training:  50%|█████     | 1/2 [03:24<03:24, 204.90s/it]              2026-04-24 18:48:09.974 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 13, train_steps: 520
+Global Step 12: training: 100%|██████████| 2/2 [06:54<00:00, 207.16s/it]10, 10.13s/it]
+2026-04-24 18:48:10.610 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 13	train_steps 520	{'step': '13/10000', 'learning_rate': '0.00001000', 'loss': '1.147e-07', 'grad_norm': '0.00965393', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.19604492', 'grpo_loop_time': '414.33007812', 'ref_model_time': '113.61567688', 'approx_kl': '2.336e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.147e-07', 'kl_loss': '0.00094810', 'kl_moving': '0.00094810', 'kl_stepwise': '1.705e-09', 'gathered_avg_reward_mean': '-1.17204261', 'gathered_avg_reward_std': '0.75069088', 'gathered_videoalign_local_mq_reward_mean': '-0.92522383', 'gathered_videoalign_local_mq_reward_std': '0.26069012', 'gathered_videoalign_local_overall_reward_mean': '-2.26002264', 'gathered_videoalign_local_overall_reward_std': '0.85882431', 'gathered_videoalign_local_ta_reward_mean': '-0.08406269', 'gathered_videoalign_local_ta_reward_std': '0.68504256', 'gathered_videoalign_local_vq_reward_mean': '-1.25073600', 'gathered_videoalign_local_vq_reward_std': '0.19262397', 'gathered_ori_avg_reward_mean': '-1.17204261', 'gathered_ori_avg_reward_std': '0.75069088'}
+2026-04-24 18:48:10.661 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 18:48:10.752 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:48:10.826 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 18:49:15.787 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000013/group_0/index_8365_seed_10793_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 18:49:16.369 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:49:16.373 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 18:50:20.566 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000013/group_0/index_8365_seed_10794_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 18:50:21.151 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 18:50:21.295 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 18:50:22.453 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:39<00:00, 49.73s/it]
+2026-04-24 18:52:17.713 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.00s (1.92min)
+2026-04-24 18:52:18.452 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 13: training:  50%|█████     | 1/2 [03:27<03:27, 207.76s/it]              2026-04-24 18:59:16.395 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 14, train_steps: 560
+Global Step 13: training: 100%|██████████| 2/2 [06:57<00:00, 208.96s/it]10, 10.16s/it]
+2026-04-24 18:59:17.022 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 14	train_steps 560	{'step': '14/10000', 'learning_rate': '0.00001000', 'loss': '-5.588e-08', 'grad_norm': '0.00472365', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.70803833', 'grpo_loop_time': '417.93048096', 'ref_model_time': '115.00259399', 'approx_kl': '2.431e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.588e-08', 'kl_loss': '0.00070016', 'kl_moving': '0.00070016', 'kl_stepwise': '1.337e-09', 'gathered_avg_reward_mean': '-0.89494622', 'gathered_avg_reward_std': '0.93680048', 'gathered_videoalign_local_mq_reward_mean': '-0.77585113', 'gathered_videoalign_local_mq_reward_std': '0.34372824', 'gathered_videoalign_local_overall_reward_mean': '-1.84339976', 'gathered_videoalign_local_overall_reward_std': '1.11605179', 'gathered_videoalign_local_ta_reward_mean': '0.05350734', 'gathered_videoalign_local_ta_reward_std': '0.81285822', 'gathered_videoalign_local_vq_reward_mean': '-1.12105584', 'gathered_videoalign_local_vq_reward_std': '0.32027355', 'gathered_ori_avg_reward_mean': '-0.89494622', 'gathered_ori_avg_reward_std': '0.93680042'}
+2026-04-24 18:59:17.061 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 18:59:17.156 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 18:59:17.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 19:00:22.271 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000014/group_0/index_4241_seed_33057_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 19:00:23.363 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:00:23.367 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 19:01:27.454 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000014/group_0/index_4241_seed_33058_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 19:01:28.155 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 19:01:28.394 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 19:01:29.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-24 19:03:23.444 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.03s (1.90min)
+2026-04-24 19:03:24.181 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 14: training:  50%|█████     | 1/2 [03:25<03:25, 205.67s/it]              2026-04-24 19:10:20.610 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 15, train_steps: 600
+Global Step 14: training: 100%|██████████| 2/2 [06:56<00:00, 208.22s/it]10, 10.15s/it]
+2026-04-24 19:10:21.285 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 15	train_steps 600	{'step': '15/10000', 'learning_rate': '0.00001000', 'loss': '5.192e-08', 'grad_norm': '0.00332098', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.03616333', 'grpo_loop_time': '416.43481445', 'ref_model_time': '114.02902985', 'approx_kl': '2.345e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.192e-08', 'kl_loss': '0.00070068', 'kl_moving': '0.00070068', 'kl_stepwise': '9.735e-10', 'gathered_avg_reward_mean': '-0.96606827', 'gathered_avg_reward_std': '0.70973146', 'gathered_videoalign_local_mq_reward_mean': '-0.87476170', 'gathered_videoalign_local_mq_reward_std': '0.32933027', 'gathered_videoalign_local_overall_reward_mean': '-2.00632310', 'gathered_videoalign_local_overall_reward_std': '0.87906396', 'gathered_videoalign_local_ta_reward_mean': '0.07418666', 'gathered_videoalign_local_ta_reward_std': '0.59785992', 'gathered_videoalign_local_vq_reward_mean': '-1.20574808', 'gathered_videoalign_local_vq_reward_std': '0.26966175', 'gathered_ori_avg_reward_mean': '-0.96606815', 'gathered_ori_avg_reward_std': '0.70973146'}
+2026-04-24 19:10:21.335 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 19:10:21.429 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:10:21.456 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 19:11:26.696 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000015/group_0/index_6121_seed_22864_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 19:11:27.469 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:11:27.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 19:12:31.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000015/group_0/index_6121_seed_22865_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 19:12:32.428 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 19:12:32.565 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 19:12:33.457 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-24 19:14:26.949 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.49s (1.89min)
+2026-04-24 19:14:27.772 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 15: training:  50%|█████     | 1/2 [03:25<03:25, 205.94s/it]              2026-04-24 19:21:23.293 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 16, train_steps: 640
+Global Step 15: training: 100%|██████████| 2/2 [06:55<00:00, 207.75s/it]10, 10.13s/it]
+2026-04-24 19:21:23.856 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 16	train_steps 640	{'step': '16/10000', 'learning_rate': '0.00001000', 'loss': '3.725e-08', 'grad_norm': '0.00485473', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.27609253', 'grpo_loop_time': '415.50482178', 'ref_model_time': '113.48603821', 'approx_kl': '2.299e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.725e-08', 'kl_loss': '0.00078315', 'kl_moving': '0.00078315', 'kl_stepwise': '1.711e-09', 'gathered_avg_reward_mean': '-0.96066362', 'gathered_avg_reward_std': '0.75550562', 'gathered_videoalign_local_mq_reward_mean': '-0.76894325', 'gathered_videoalign_local_mq_reward_std': '0.45026162', 'gathered_videoalign_local_overall_reward_mean': '-1.89145494', 'gathered_videoalign_local_overall_reward_std': '1.05269802', 'gathered_videoalign_local_ta_reward_mean': '-0.02987207', 'gathered_videoalign_local_ta_reward_std': '0.58115017', 'gathered_videoalign_local_vq_reward_mean': '-1.09263968', 'gathered_videoalign_local_vq_reward_std': '0.35678038', 'gathered_ori_avg_reward_mean': '-0.96066356', 'gathered_ori_avg_reward_std': '0.75550556'}
+2026-04-24 19:21:23.965 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 19:21:24.055 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:21:24.084 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 19:22:29.103 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000016/group_0/index_3814_seed_28667_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 19:22:29.720 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:22:29.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 19:23:34.293 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000016/group_0/index_3814_seed_28668_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 19:23:35.007 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 19:23:35.148 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 19:23:35.955 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-24 19:25:30.248 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.21s (1.90min)
+2026-04-24 19:25:30.988 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 16: training:  50%|█████     | 1/2 [03:24<03:24, 204.77s/it]              2026-04-24 19:32:25.358 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 17, train_steps: 680
+Global Step 16: training: 100%|██████████| 2/2 [06:54<00:00, 207.19s/it]10, 10.14s/it]
+2026-04-24 19:32:26.005 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 17	train_steps 680	{'step': '17/10000', 'learning_rate': '0.00001000', 'loss': '1.136e-07', 'grad_norm': '0.00449295', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.94778442', 'grpo_loop_time': '414.37835693', 'ref_model_time': '114.21035767', 'approx_kl': '2.483e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.136e-07', 'kl_loss': '0.00075603', 'kl_moving': '0.00075603', 'kl_stepwise': '8.949e-10', 'gathered_avg_reward_mean': '-1.17704749', 'gathered_avg_reward_std': '0.66145718', 'gathered_videoalign_local_mq_reward_mean': '-0.87816441', 'gathered_videoalign_local_mq_reward_std': '0.31963360', 'gathered_videoalign_local_overall_reward_mean': '-2.14585829', 'gathered_videoalign_local_overall_reward_std': '0.82458317', 'gathered_videoalign_local_ta_reward_mean': '-0.20823662', 'gathered_videoalign_local_ta_reward_std': '0.56871504', 'gathered_videoalign_local_vq_reward_mean': '-1.05945718', 'gathered_videoalign_local_vq_reward_std': '0.30591130', 'gathered_ori_avg_reward_mean': '-1.17704737', 'gathered_ori_avg_reward_std': '0.66145712'}
+2026-04-24 19:32:26.044 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 19:32:26.137 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:32:26.166 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 19:33:31.325 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000017/group_0/index_367_seed_17358_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 19:33:31.873 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:33:31.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 19:34:35.905 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000017/group_0/index_367_seed_17359_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 19:34:36.458 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 19:34:36.599 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 19:34:37.366 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-24 19:36:31.741 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.25s (1.90min)
+2026-04-24 19:36:32.470 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 17: training:  50%|█████     | 1/2 [03:25<03:25, 205.31s/it]              2026-04-24 19:43:28.616 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 18, train_steps: 720
+Global Step 17: training: 100%|██████████| 2/2 [06:56<00:00, 208.07s/it]10, 10.18s/it]
+2026-04-24 19:43:29.240 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 18	train_steps 720	{'step': '18/10000', 'learning_rate': '0.00001000', 'loss': '-7.637e-08', 'grad_norm': '0.00408281', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.35650635', 'grpo_loop_time': '416.14019775', 'ref_model_time': '114.25018311', 'approx_kl': '2.473e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.637e-08', 'kl_loss': '0.00074403', 'kl_moving': '0.00074403', 'kl_stepwise': '1.116e-09', 'gathered_avg_reward_mean': '-1.29607046', 'gathered_avg_reward_std': '1.03400159', 'gathered_videoalign_local_mq_reward_mean': '-0.86539137', 'gathered_videoalign_local_mq_reward_std': '0.43262687', 'gathered_videoalign_local_overall_reward_mean': '-2.35320902', 'gathered_videoalign_local_overall_reward_std': '1.26845360', 'gathered_videoalign_local_ta_reward_mean': '-0.23893180', 'gathered_videoalign_local_ta_reward_std': '0.86353362', 'gathered_videoalign_local_vq_reward_mean': '-1.24888611', 'gathered_videoalign_local_vq_reward_std': '0.28773785', 'gathered_ori_avg_reward_mean': '-1.29607046', 'gathered_ori_avg_reward_std': '1.03400159'}
+2026-04-24 19:43:29.285 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 19:43:29.374 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:43:29.432 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 19:44:34.790 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000018/group_0/index_8800_seed_13689_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 19:44:35.418 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:44:35.419 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 19:45:39.934 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000018/group_0/index_8800_seed_13690_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 19:45:40.612 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 19:45:40.752 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 19:45:41.511 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.06s/it]
+2026-04-24 19:47:33.981 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.34s (1.87min)
+2026-04-24 19:47:34.833 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 18: training:  50%|█████     | 1/2 [03:27<03:27, 207.24s/it]              2026-04-24 19:54:32.133 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 19, train_steps: 760
+Global Step 18: training: 100%|██████████| 2/2 [06:57<00:00, 208.60s/it]10, 10.15s/it]
+2026-04-24 19:54:32.836 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 19	train_steps 760	{'step': '19/10000', 'learning_rate': '0.00001000', 'loss': '2.082e-07', 'grad_norm': '0.00881500', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.46408081', 'grpo_loop_time': '417.19586182', 'ref_model_time': '112.34304810', 'approx_kl': '2.250e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.082e-07', 'kl_loss': '0.00076117', 'kl_moving': '0.00076117', 'kl_stepwise': '1.256e-09', 'gathered_avg_reward_mean': '-1.04832864', 'gathered_avg_reward_std': '0.86280453', 'gathered_videoalign_local_mq_reward_mean': '-0.90911531', 'gathered_videoalign_local_mq_reward_std': '0.26330957', 'gathered_videoalign_local_overall_reward_mean': '-2.13389206', 'gathered_videoalign_local_overall_reward_std': '0.96977884', 'gathered_videoalign_local_ta_reward_mean': '0.03723478', 'gathered_videoalign_local_ta_reward_std': '0.79350501', 'gathered_videoalign_local_vq_reward_mean': '-1.26201153', 'gathered_videoalign_local_vq_reward_std': '0.26129547', 'gathered_ori_avg_reward_mean': '-1.04832864', 'gathered_ori_avg_reward_std': '0.86280459'}
+2026-04-24 19:54:32.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 19:54:32.968 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:54:33.007 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 19:55:38.062 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000019/group_0/index_657_seed_28953_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 19:55:39.064 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 19:55:39.068 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 19:56:43.394 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000019/group_0/index_657_seed_28954_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 19:56:44.127 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 19:56:44.174 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 19:56:45.150 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.95s/it]
+2026-04-24 19:58:40.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.07s (1.92min)
+2026-04-24 19:58:44.147 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 19: training:  50%|█████     | 1/2 [03:26<03:26, 206.05s/it]              2026-04-24 20:05:44.217 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 20, train_steps: 800
+Global Step 19: training: 100%|██████████| 2/2 [06:55<00:00, 207.98s/it]10, 10.16s/it]
+2026-04-24 20:05:44.829 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 20	train_steps 800	{'step': '20/10000', 'learning_rate': '0.00001000', 'loss': '9.872e-08', 'grad_norm': '0.00800499', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '251.18878174', 'grpo_loop_time': '416.43164062', 'ref_model_time': '115.07195282', 'approx_kl': '2.372e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.872e-08', 'kl_loss': '0.00083927', 'kl_moving': '0.00083927', 'kl_stepwise': '1.148e-09', 'gathered_avg_reward_mean': '-1.14105070', 'gathered_avg_reward_std': '0.88833648', 'gathered_videoalign_local_mq_reward_mean': '-0.89087212', 'gathered_videoalign_local_mq_reward_std': '0.29264012', 'gathered_videoalign_local_overall_reward_mean': '-2.21107864', 'gathered_videoalign_local_overall_reward_std': '1.00565064', 'gathered_videoalign_local_ta_reward_mean': '-0.07102270', 'gathered_videoalign_local_ta_reward_std': '0.82546657', 'gathered_videoalign_local_vq_reward_mean': '-1.24918389', 'gathered_videoalign_local_vq_reward_std': '0.25652927', 'gathered_ori_avg_reward_mean': '-1.14105070', 'gathered_ori_avg_reward_std': '0.88833648'}
+2026-04-24 20:06:19.452 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=20 (missing=0, unexpected=0)
+2026-04-24 20:06:21.595 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 20:06:21.684 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:06:21.740 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-24 20:07:27.892 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000020/group_0/index_5415_seed_11619_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 20:07:28.631 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:07:28.635 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-24 20:08:33.648 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000020/group_0/index_5415_seed_11620_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 20:08:34.364 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 20:08:34.411 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 20:08:35.376 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.97s/it]
+2026-04-24 20:10:28.903 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.51s (1.89min)
+2026-04-24 20:10:29.681 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 20: training:  50%|█████     | 1/2 [03:24<03:24, 204.78s/it]              2026-04-24 20:17:24.336 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 21, train_steps: 840
+Global Step 20: training: 100%|██████████| 2/2 [06:54<00:00, 207.32s/it]10, 10.14s/it]
+2026-04-24 20:17:24.871 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 21	train_steps 840	{'step': '21/10000', 'learning_rate': '0.00001000', 'loss': '-1.411e-07', 'grad_norm': '0.00396040', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.97439575', 'grpo_loop_time': '414.63616943', 'ref_model_time': '113.51332092', 'approx_kl': '2.520e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.411e-07', 'kl_loss': '0.00073319', 'kl_moving': '0.00073319', 'kl_stepwise': '2.474e-10', 'gathered_avg_reward_mean': '-1.22615087', 'gathered_avg_reward_std': '0.67086679', 'gathered_videoalign_local_mq_reward_mean': '-0.88252145', 'gathered_videoalign_local_mq_reward_std': '0.32605970', 'gathered_videoalign_local_overall_reward_mean': '-2.28857493', 'gathered_videoalign_local_overall_reward_std': '0.75957704', 'gathered_videoalign_local_ta_reward_mean': '-0.16372663', 'gathered_videoalign_local_ta_reward_std': '0.65588498', 'gathered_videoalign_local_vq_reward_mean': '-1.24232709', 'gathered_videoalign_local_vq_reward_std': '0.22110805', 'gathered_ori_avg_reward_mean': '-1.22615075', 'gathered_ori_avg_reward_std': '0.67086679'}
+2026-04-24 20:17:25.021 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 20:17:25.113 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:17:25.127 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 20:18:30.082 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000021/group_0/index_6892_seed_11576_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 20:18:30.669 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:18:30.672 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 20:19:34.862 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000021/group_0/index_6892_seed_11577_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 20:19:35.520 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 20:19:35.659 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 20:19:36.540 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.25s/it]
+2026-04-24 20:21:30.821 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.27s (1.90min)
+2026-04-24 20:21:31.543 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 21: training:  50%|█████     | 1/2 [03:26<03:26, 206.02s/it]              2026-04-24 20:28:27.494 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 22, train_steps: 880
+Global Step 21: training: 100%|██████████| 2/2 [06:55<00:00, 207.98s/it]10, 10.17s/it]
+2026-04-24 20:28:28.152 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 22	train_steps 880	{'step': '22/10000', 'learning_rate': '0.00001000', 'loss': '-6.706e-08', 'grad_norm': '0.00486877', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.44580078', 'grpo_loop_time': '415.95788574', 'ref_model_time': '114.26937103', 'approx_kl': '2.513e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.706e-08', 'kl_loss': '0.00075607', 'kl_moving': '0.00075607', 'kl_stepwise': '1.286e-09', 'gathered_avg_reward_mean': '-0.97874057', 'gathered_avg_reward_std': '0.74429321', 'gathered_videoalign_local_mq_reward_mean': '-0.83287209', 'gathered_videoalign_local_mq_reward_std': '0.44653827', 'gathered_videoalign_local_overall_reward_mean': '-1.94799078', 'gathered_videoalign_local_overall_reward_std': '1.04658008', 'gathered_videoalign_local_ta_reward_mean': '-0.00949036', 'gathered_videoalign_local_ta_reward_std': '0.54823929', 'gathered_videoalign_local_vq_reward_mean': '-1.10562849', 'gathered_videoalign_local_vq_reward_std': '0.35807744', 'gathered_ori_avg_reward_mean': '-0.97874057', 'gathered_ori_avg_reward_std': '0.74429321'}
+2026-04-24 20:28:28.191 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 20:28:28.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:28:28.314 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 20:29:33.273 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000022/group_0/index_4192_seed_17251_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 20:29:33.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:29:33.845 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 20:30:38.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000022/group_0/index_4192_seed_17252_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 20:30:38.689 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 20:30:38.832 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 20:30:39.821 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-24 20:32:33.281 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.23s (1.89min)
+2026-04-24 20:32:34.029 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 22: training:  50%|█████     | 1/2 [03:26<03:26, 206.36s/it]              2026-04-24 20:39:30.419 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 23, train_steps: 920
+Global Step 22: training: 100%|██████████| 2/2 [06:56<00:00, 208.19s/it]10, 10.16s/it]
+2026-04-24 20:39:31.075 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 23	train_steps 920	{'step': '23/10000', 'learning_rate': '0.00001000', 'loss': '-9.313e-09', 'grad_norm': '0.00366294', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.75437927', 'grpo_loop_time': '416.38037109', 'ref_model_time': '113.22987366', 'approx_kl': '2.375e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.313e-09', 'kl_loss': '0.00073410', 'kl_moving': '0.00073410', 'kl_stepwise': '9.430e-10', 'gathered_avg_reward_mean': '-1.15444887', 'gathered_avg_reward_std': '0.68762839', 'gathered_videoalign_local_mq_reward_mean': '-0.65199220', 'gathered_videoalign_local_mq_reward_std': '0.62857848', 'gathered_videoalign_local_overall_reward_mean': '-2.11149502', 'gathered_videoalign_local_overall_reward_std': '0.97252518', 'gathered_videoalign_local_ta_reward_mean': '-0.19740266', 'gathered_videoalign_local_ta_reward_std': '0.58743900', 'gathered_videoalign_local_vq_reward_mean': '-1.26210022', 'gathered_videoalign_local_vq_reward_std': '0.27348593', 'gathered_ori_avg_reward_mean': '-1.15444887', 'gathered_ori_avg_reward_std': '0.68762839'}
+2026-04-24 20:39:31.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 20:39:31.204 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:39:31.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 20:40:36.875 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000023/group_0/index_7474_seed_23209_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 20:40:37.406 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:40:37.410 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 20:41:41.813 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000023/group_0/index_7474_seed_23210_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 20:41:42.474 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 20:41:42.613 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 20:41:43.495 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.29s/it]
+2026-04-24 20:43:36.625 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.12s (1.89min)
+2026-04-24 20:43:37.363 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 23: training:  50%|█████     | 1/2 [03:28<03:28, 208.22s/it]              2026-04-24 20:50:35.744 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 24, train_steps: 960
+Global Step 23: training: 100%|██████████| 2/2 [06:58<00:00, 209.15s/it]10, 10.16s/it]
+2026-04-24 20:50:36.227 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 24	train_steps 960	{'step': '24/10000', 'learning_rate': '0.00001000', 'loss': '-1.304e-08', 'grad_norm': '0.00435224', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.16546631', 'grpo_loop_time': '418.29763794', 'ref_model_time': '113.12435150', 'approx_kl': '2.367e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.304e-08', 'kl_loss': '0.00073269', 'kl_moving': '0.00073269', 'kl_stepwise': '1.266e-09', 'gathered_avg_reward_mean': '-1.36613142', 'gathered_avg_reward_std': '0.60998225', 'gathered_videoalign_local_mq_reward_mean': '-0.91736937', 'gathered_videoalign_local_mq_reward_std': '0.31114250', 'gathered_videoalign_local_overall_reward_mean': '-2.40216398', 'gathered_videoalign_local_overall_reward_std': '0.78126734', 'gathered_videoalign_local_ta_reward_mean': '-0.33009893', 'gathered_videoalign_local_ta_reward_std': '0.52845442', 'gathered_videoalign_local_vq_reward_mean': '-1.15469551', 'gathered_videoalign_local_vq_reward_std': '0.30013412', 'gathered_ori_avg_reward_mean': '-1.36613142', 'gathered_ori_avg_reward_std': '0.60998231'}
+2026-04-24 20:50:36.340 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 20:50:36.443 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:50:36.526 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 20:51:41.801 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000024/group_0/index_9364_seed_12316_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 20:51:42.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 20:51:42.859 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 20:52:46.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000024/group_0/index_9364_seed_12317_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 20:52:47.388 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 20:52:47.526 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 20:52:48.291 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-04-24 20:54:41.976 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.56s (1.89min)
+2026-04-24 20:54:42.724 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 24: training:  50%|█████     | 1/2 [03:26<03:26, 206.20s/it]              2026-04-24 21:01:38.797 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 25, train_steps: 1000
+Global Step 24: training: 100%|██████████| 2/2 [06:56<00:00, 208.04s/it]10, 10.15s/it]
+2026-04-24 21:01:39.447 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 25	train_steps 1000	{'step': '25/10000', 'learning_rate': '0.00001000', 'loss': '-7.264e-08', 'grad_norm': '0.00436893', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.30015564', 'grpo_loop_time': '416.07357788', 'ref_model_time': '113.56376648', 'approx_kl': '2.350e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.264e-08', 'kl_loss': '0.00075688', 'kl_moving': '0.00075688', 'kl_stepwise': '1.119e-09', 'gathered_avg_reward_mean': '-1.12647808', 'gathered_avg_reward_std': '0.56039196', 'gathered_videoalign_local_mq_reward_mean': '-0.88665724', 'gathered_videoalign_local_mq_reward_std': '0.26128259', 'gathered_videoalign_local_overall_reward_mean': '-2.20783210', 'gathered_videoalign_local_overall_reward_std': '0.65675300', 'gathered_videoalign_local_ta_reward_mean': '-0.04512417', 'gathered_videoalign_local_ta_reward_std': '0.52572823', 'gathered_videoalign_local_vq_reward_mean': '-1.27605057', 'gathered_videoalign_local_vq_reward_std': '0.22185536', 'gathered_ori_avg_reward_mean': '-1.12647808', 'gathered_ori_avg_reward_std': '0.56039196'}
+2026-04-24 21:01:39.488 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 21:01:39.580 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:01:39.673 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 21:02:44.698 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000025/group_0/index_1319_seed_27710_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 21:02:45.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:02:45.265 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-04-24 21:03:50.194 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000025/group_0/index_1319_seed_27711_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 21:03:50.855 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 21:03:50.901 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 21:03:51.882 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.97s/it]
+2026-04-24 21:05:45.464 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.58s (1.89min)
+2026-04-24 21:05:46.213 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 25: training:  50%|█████     | 1/2 [03:26<03:26, 206.71s/it]              2026-04-24 21:12:42.845 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 26, train_steps: 1040
+Global Step 25: training: 100%|██████████| 2/2 [06:56<00:00, 208.31s/it]10, 10.16s/it]
+2026-04-24 21:12:43.484 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 26	train_steps 1040	{'step': '26/10000', 'learning_rate': '0.00001000', 'loss': '4.936e-08', 'grad_norm': '0.00517958', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.63520813', 'grpo_loop_time': '416.61636353', 'ref_model_time': '113.58068848', 'approx_kl': '2.400e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.936e-08', 'kl_loss': '0.00074710', 'kl_moving': '0.00074710', 'kl_stepwise': '1.170e-09', 'gathered_avg_reward_mean': '-1.05628777', 'gathered_avg_reward_std': '0.91813284', 'gathered_videoalign_local_mq_reward_mean': '-0.77037501', 'gathered_videoalign_local_mq_reward_std': '0.50337839', 'gathered_videoalign_local_overall_reward_mean': '-2.00552511', 'gathered_videoalign_local_overall_reward_std': '1.28624272', 'gathered_videoalign_local_ta_reward_mean': '-0.10705052', 'gathered_videoalign_local_ta_reward_std': '0.62503308', 'gathered_videoalign_local_vq_reward_mean': '-1.12809944', 'gathered_videoalign_local_vq_reward_std': '0.39177668', 'gathered_ori_avg_reward_mean': '-1.05628777', 'gathered_ori_avg_reward_std': '0.91813284'}
+2026-04-24 21:12:43.521 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 21:12:43.614 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:12:43.656 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 21:13:48.320 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000026/group_0/index_3260_seed_679_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 21:13:48.883 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:13:48.887 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 21:14:53.166 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000026/group_0/index_3260_seed_680_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 21:14:53.938 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 21:14:54.030 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 21:14:55.299 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-24 21:16:49.279 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.91s (1.90min)
+2026-04-24 21:16:50.027 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 26: training:  50%|█████     | 1/2 [03:28<03:28, 208.73s/it]              2026-04-24 21:23:48.908 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 27, train_steps: 1080
+Global Step 26: training: 100%|██████████| 2/2 [06:58<00:00, 209.43s/it]10, 10.18s/it]
+2026-04-24 21:23:49.532 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 27	train_steps 1080	{'step': '27/10000', 'learning_rate': '0.00001000', 'loss': '9.593e-08', 'grad_norm': '0.00351939', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.42407227', 'grpo_loop_time': '418.87301636', 'ref_model_time': '113.91051483', 'approx_kl': '2.390e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.593e-08', 'kl_loss': '0.00070691', 'kl_moving': '0.00070691', 'kl_stepwise': '1.487e-09', 'gathered_avg_reward_mean': '-1.26899087', 'gathered_avg_reward_std': '0.72897536', 'gathered_videoalign_local_mq_reward_mean': '-0.78871000', 'gathered_videoalign_local_mq_reward_std': '0.39563358', 'gathered_videoalign_local_overall_reward_mean': '-2.22240615', 'gathered_videoalign_local_overall_reward_std': '0.88626492', 'gathered_videoalign_local_ta_reward_mean': '-0.31557575', 'gathered_videoalign_local_ta_reward_std': '0.70803910', 'gathered_videoalign_local_vq_reward_mean': '-1.11812019', 'gathered_videoalign_local_vq_reward_std': '0.33792305', 'gathered_ori_avg_reward_mean': '-1.26899099', 'gathered_ori_avg_reward_std': '0.72897536'}
+2026-04-24 21:23:49.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 21:23:49.662 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:23:49.719 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 21:24:55.292 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000027/group_0/index_2884_seed_11115_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 21:24:55.939 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:24:55.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 21:26:00.691 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000027/group_0/index_2884_seed_11116_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 21:26:01.272 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 21:26:01.407 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 21:26:02.499 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.29s/it]
+2026-04-24 21:27:56.406 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.81s (1.90min)
+2026-04-24 21:27:57.172 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 27: training:  50%|█████     | 1/2 [03:26<03:26, 206.60s/it]              2026-04-24 21:34:53.753 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 28, train_steps: 1120
+Global Step 27: training: 100%|██████████| 2/2 [06:56<00:00, 208.29s/it]10, 10.17s/it]
+2026-04-24 21:34:54.370 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 28	train_steps 1120	{'step': '28/10000', 'learning_rate': '0.00001000', 'loss': '-2.151e-07', 'grad_norm': '0.00608354', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.51828003', 'grpo_loop_time': '416.57867432', 'ref_model_time': '113.81352234', 'approx_kl': '2.668e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.151e-07', 'kl_loss': '0.00087794', 'kl_moving': '0.00087794', 'kl_stepwise': '1.193e-09', 'gathered_avg_reward_mean': '-1.28182507', 'gathered_avg_reward_std': '0.76919651', 'gathered_videoalign_local_mq_reward_mean': '-0.82540762', 'gathered_videoalign_local_mq_reward_std': '0.46851045', 'gathered_videoalign_local_overall_reward_mean': '-2.29736733', 'gathered_videoalign_local_overall_reward_std': '1.02314067', 'gathered_videoalign_local_ta_reward_mean': '-0.26628277', 'gathered_videoalign_local_ta_reward_std': '0.64701021', 'gathered_videoalign_local_vq_reward_mean': '-1.20567703', 'gathered_videoalign_local_vq_reward_std': '0.36523837', 'gathered_ori_avg_reward_mean': '-1.28182507', 'gathered_ori_avg_reward_std': '0.76919651'}
+2026-04-24 21:34:54.423 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 21:34:54.515 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:34:54.529 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 21:35:59.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000028/group_0/index_7718_seed_23896_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 21:36:00.437 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:36:00.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-24 21:37:05.327 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000028/group_0/index_7718_seed_23897_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 21:37:05.973 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 21:37:06.037 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 21:37:06.879 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.11s/it]
+2026-04-24 21:39:00.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.28s (1.89min)
+2026-04-24 21:39:01.199 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 28: training:  50%|█████     | 1/2 [03:27<03:27, 207.67s/it]              2026-04-24 21:45:58.739 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 29, train_steps: 1160
+Global Step 28: training: 100%|██████████| 2/2 [06:57<00:00, 208.72s/it]10, 10.15s/it]
+2026-04-24 21:45:59.370 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 29	train_steps 1160	{'step': '29/10000', 'learning_rate': '0.00001000', 'loss': '3.492e-08', 'grad_norm': '0.00369386', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.51823425', 'grpo_loop_time': '417.44110107', 'ref_model_time': '113.27680206', 'approx_kl': '2.150e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.492e-08', 'kl_loss': '0.00074300', 'kl_moving': '0.00074300', 'kl_stepwise': '1.013e-09', 'gathered_avg_reward_mean': '-0.93742323', 'gathered_avg_reward_std': '0.80910629', 'gathered_videoalign_local_mq_reward_mean': '-0.67111754', 'gathered_videoalign_local_mq_reward_std': '0.51858395', 'gathered_videoalign_local_overall_reward_mean': '-1.84612238', 'gathered_videoalign_local_overall_reward_std': '1.09712148', 'gathered_videoalign_local_ta_reward_mean': '-0.02872407', 'gathered_videoalign_local_ta_reward_std': '0.63453984', 'gathered_videoalign_local_vq_reward_mean': '-1.14628077', 'gathered_videoalign_local_vq_reward_std': '0.34104967', 'gathered_ori_avg_reward_mean': '-0.93742323', 'gathered_ori_avg_reward_std': '0.80910629'}
+2026-04-24 21:45:59.417 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 21:45:59.509 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:45:59.590 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 21:47:04.707 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000029/group_0/index_6763_seed_10134_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 21:47:05.665 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:47:05.669 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 21:48:10.019 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000029/group_0/index_6763_seed_10135_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 21:48:10.746 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 21:48:10.892 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 21:48:11.651 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-24 21:50:04.955 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.16s (1.89min)
+2026-04-24 21:50:05.708 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 29: training:  50%|█████     | 1/2 [03:25<03:25, 205.46s/it]              2026-04-24 21:57:02.087 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 30, train_steps: 1200
+Global Step 29: training: 100%|██████████| 2/2 [06:56<00:00, 208.18s/it]10, 10.18s/it]
+2026-04-24 21:57:02.697 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 30	train_steps 1200	{'step': '30/10000', 'learning_rate': '0.00001000', 'loss': '-2.021e-07', 'grad_norm': '0.00367368', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.20751953', 'grpo_loop_time': '416.36425781', 'ref_model_time': '113.16365814', 'approx_kl': '2.440e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.021e-07', 'kl_loss': '0.00078042', 'kl_moving': '0.00078042', 'kl_stepwise': '8.527e-10', 'gathered_avg_reward_mean': '-1.09419179', 'gathered_avg_reward_std': '1.30128896', 'gathered_videoalign_local_mq_reward_mean': '-0.67657745', 'gathered_videoalign_local_mq_reward_std': '0.63618016', 'gathered_videoalign_local_overall_reward_mean': '-1.98477900', 'gathered_videoalign_local_overall_reward_std': '1.70576680', 'gathered_videoalign_local_ta_reward_mean': '-0.20360470', 'gathered_videoalign_local_ta_reward_std': '0.98124725', 'gathered_videoalign_local_vq_reward_mean': '-1.10459661', 'gathered_videoalign_local_vq_reward_std': '0.41757855', 'gathered_ori_avg_reward_mean': '-1.09419179', 'gathered_ori_avg_reward_std': '1.30128896'}
+2026-04-24 21:57:37.032 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=30 (missing=0, unexpected=0)
+2026-04-24 21:57:39.437 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 21:57:39.617 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:57:39.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-04-24 21:58:46.096 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000030/group_0/index_8075_seed_1736_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 21:58:46.665 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 21:58:46.669 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-04-24 21:59:51.589 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000030/group_0/index_8075_seed_1737_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 21:59:52.355 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 21:59:52.418 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 21:59:53.407 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-24 22:01:46.757 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.12s (1.89min)
+2026-04-24 22:01:47.504 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 30: training:  50%|█████     | 1/2 [03:26<03:26, 206.80s/it]              2026-04-24 22:08:45.783 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 31, train_steps: 1240
+Global Step 30: training: 100%|██████████| 2/2 [06:58<00:00, 209.13s/it]10, 10.21s/it]
+2026-04-24 22:08:46.402 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 31	train_steps 1240	{'step': '31/10000', 'learning_rate': '0.00001000', 'loss': '2.468e-08', 'grad_norm': '0.00409494', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.98463440', 'grpo_loop_time': '418.25878906', 'ref_model_time': '113.11843872', 'approx_kl': '2.465e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.468e-08', 'kl_loss': '0.00068579', 'kl_moving': '0.00068579', 'kl_stepwise': '9.313e-10', 'gathered_avg_reward_mean': '-1.03208852', 'gathered_avg_reward_std': '0.91874707', 'gathered_videoalign_local_mq_reward_mean': '-0.91889751', 'gathered_videoalign_local_mq_reward_std': '0.24520969', 'gathered_videoalign_local_overall_reward_mean': '-2.07031822', 'gathered_videoalign_local_overall_reward_std': '1.05264151', 'gathered_videoalign_local_ta_reward_mean': '0.00614139', 'gathered_videoalign_local_ta_reward_std': '0.83318990', 'gathered_videoalign_local_vq_reward_mean': '-1.15756226', 'gathered_videoalign_local_vq_reward_std': '0.32845828', 'gathered_ori_avg_reward_mean': '-1.03208852', 'gathered_ori_avg_reward_std': '0.91874695'}
+2026-04-24 22:08:46.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 22:08:46.540 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:08:46.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 22:09:51.638 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000031/group_0/index_9874_seed_23792_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 22:09:52.252 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:09:52.256 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 22:10:56.413 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000031/group_0/index_9874_seed_23793_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 22:10:57.073 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 22:10:57.213 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 22:10:58.101 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-04-24 22:12:53.418 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.30s (1.92min)
+2026-04-24 22:12:54.309 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 31: training:  50%|█████     | 1/2 [03:27<03:27, 207.34s/it]              2026-04-24 22:19:51.483 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 32, train_steps: 1280
+Global Step 31: training: 100%|██████████| 2/2 [06:57<00:00, 208.58s/it]10, 10.13s/it]
+2026-04-24 22:19:52.123 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 32	train_steps 1280	{'step': '32/10000', 'learning_rate': '0.00001000', 'loss': '-8.382e-09', 'grad_norm': '0.00389693', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.63517761', 'grpo_loop_time': '417.16528320', 'ref_model_time': '115.30223846', 'approx_kl': '2.352e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.382e-09', 'kl_loss': '0.00067532', 'kl_moving': '0.00067532', 'kl_stepwise': '3.318e-10', 'gathered_avg_reward_mean': '-0.70574403', 'gathered_avg_reward_std': '1.10047507', 'gathered_videoalign_local_mq_reward_mean': '-0.65896451', 'gathered_videoalign_local_mq_reward_std': '0.49751773', 'gathered_videoalign_local_overall_reward_mean': '-1.50976765', 'gathered_videoalign_local_overall_reward_std': '1.45469546', 'gathered_videoalign_local_ta_reward_mean': '0.09827964', 'gathered_videoalign_local_ta_reward_std': '0.84696943', 'gathered_videoalign_local_vq_reward_mean': '-0.94908279', 'gathered_videoalign_local_vq_reward_std': '0.47626129', 'gathered_ori_avg_reward_mean': '-0.70574403', 'gathered_ori_avg_reward_std': '1.10047507'}
+2026-04-24 22:19:52.160 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 22:19:52.256 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:19:52.323 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 22:20:57.288 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000032/group_0/index_5918_seed_27276_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 22:20:57.860 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:20:57.864 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-24 22:22:02.234 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000032/group_0/index_5918_seed_27277_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 22:22:03.058 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 22:22:03.194 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 22:22:04.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.96s/it]
+2026-04-24 22:23:57.716 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-04-24 22:23:58.466 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 32: training:  50%|█████     | 1/2 [03:28<03:28, 208.65s/it]              2026-04-24 22:30:58.139 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 33, train_steps: 1320
+Global Step 32: training: 100%|██████████| 2/2 [06:59<00:00, 209.83s/it]10, 10.17s/it]
+2026-04-24 22:30:58.768 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 33	train_steps 1320	{'step': '33/10000', 'learning_rate': '0.00001000', 'loss': '-8.475e-08', 'grad_norm': '0.00355250', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.22424316', 'grpo_loop_time': '419.67312622', 'ref_model_time': '113.37397003', 'approx_kl': '2.518e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.475e-08', 'kl_loss': '0.00069073', 'kl_moving': '0.00069073', 'kl_stepwise': '1.353e-09', 'gathered_avg_reward_mean': '-0.89201182', 'gathered_avg_reward_std': '0.77919585', 'gathered_videoalign_local_mq_reward_mean': '-0.75449139', 'gathered_videoalign_local_mq_reward_std': '0.49352822', 'gathered_videoalign_local_overall_reward_mean': '-1.88834703', 'gathered_videoalign_local_overall_reward_std': '1.02861238', 'gathered_videoalign_local_ta_reward_mean': '0.10432340', 'gathered_videoalign_local_ta_reward_std': '0.62090981', 'gathered_videoalign_local_vq_reward_mean': '-1.23817897', 'gathered_videoalign_local_vq_reward_std': '0.24551269', 'gathered_ori_avg_reward_mean': '-0.89201176', 'gathered_ori_avg_reward_std': '0.77919590'}
+2026-04-24 22:30:58.824 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 22:30:58.909 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:30:58.923 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 22:32:03.793 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000033/group_0/index_113_seed_5468_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 22:32:04.405 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:32:04.408 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 22:33:08.815 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000033/group_0/index_113_seed_5469_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 22:33:09.413 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 22:33:09.464 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 22:33:10.437 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.41s/it]
+2026-04-24 22:35:03.144 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.69s (1.88min)
+2026-04-24 22:35:04.088 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 33: training:  50%|█████     | 1/2 [03:25<03:25, 205.99s/it]              2026-04-24 22:42:00.461 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 34, train_steps: 1360
+Global Step 33: training: 100%|██████████| 2/2 [06:56<00:00, 208.30s/it]10, 10.15s/it]
+2026-04-24 22:42:01.310 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 34	train_steps 1360	{'step': '34/10000', 'learning_rate': '0.00001000', 'loss': '-2.868e-07', 'grad_norm': '0.00866973', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.99591064', 'grpo_loop_time': '416.59869385', 'ref_model_time': '112.69388580', 'approx_kl': '2.609e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.868e-07', 'kl_loss': '0.00077565', 'kl_moving': '0.00077565', 'kl_stepwise': '9.022e-10', 'gathered_avg_reward_mean': '-1.27770019', 'gathered_avg_reward_std': '0.59138143', 'gathered_videoalign_local_mq_reward_mean': '-0.79960299', 'gathered_videoalign_local_mq_reward_std': '0.35227871', 'gathered_videoalign_local_overall_reward_mean': '-2.26922321', 'gathered_videoalign_local_overall_reward_std': '0.73911387', 'gathered_videoalign_local_ta_reward_mean': '-0.28617701', 'gathered_videoalign_local_ta_reward_std': '0.51870531', 'gathered_videoalign_local_vq_reward_mean': '-1.18344331', 'gathered_videoalign_local_vq_reward_std': '0.24802849', 'gathered_ori_avg_reward_mean': '-1.27770019', 'gathered_ori_avg_reward_std': '0.59138143'}
+2026-04-24 22:42:01.358 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 22:42:01.445 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:42:01.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 22:43:06.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000034/group_0/index_776_seed_23861_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 22:43:07.529 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:43:07.533 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 22:44:11.564 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000034/group_0/index_776_seed_23862_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 22:44:12.155 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 22:44:12.221 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 22:44:13.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-24 22:46:06.921 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.71s (1.90min)
+2026-04-24 22:46:07.670 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 34: training:  50%|█████     | 1/2 [03:26<03:26, 206.08s/it]              2026-04-24 22:53:03.273 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 35, train_steps: 1400
+Global Step 34: training: 100%|██████████| 2/2 [06:55<00:00, 207.83s/it]10, 10.15s/it]
+2026-04-24 22:53:03.896 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 35	train_steps 1400	{'step': '35/10000', 'learning_rate': '0.00001000', 'loss': '-1.091e-07', 'grad_norm': '0.00586889', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.22689819', 'grpo_loop_time': '415.66607666', 'ref_model_time': '113.70919800', 'approx_kl': '2.421e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.091e-07', 'kl_loss': '0.00076940', 'kl_moving': '0.00076940', 'kl_stepwise': '5.894e-10', 'gathered_avg_reward_mean': '-1.25280070', 'gathered_avg_reward_std': '0.62755626', 'gathered_videoalign_local_mq_reward_mean': '-0.81394637', 'gathered_videoalign_local_mq_reward_std': '0.38802019', 'gathered_videoalign_local_overall_reward_mean': '-2.25784302', 'gathered_videoalign_local_overall_reward_std': '0.69337797', 'gathered_videoalign_local_ta_reward_mean': '-0.24775825', 'gathered_videoalign_local_ta_reward_std': '0.67352176', 'gathered_videoalign_local_vq_reward_mean': '-1.19613850', 'gathered_videoalign_local_vq_reward_std': '0.20910136', 'gathered_ori_avg_reward_mean': '-1.25280070', 'gathered_ori_avg_reward_std': '0.62755632'}
+2026-04-24 22:53:03.993 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 22:53:04.079 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:53:04.105 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 22:54:09.667 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000035/group_0/index_5179_seed_11323_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 22:54:10.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 22:54:10.234 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 22:55:14.383 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000035/group_0/index_5179_seed_11324_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 22:55:15.120 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 22:55:15.259 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 22:55:16.141 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.01s/it]
+2026-04-24 22:57:11.239 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.09s (1.92min)
+2026-04-24 22:57:11.990 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 35: training:  50%|█████     | 1/2 [03:25<03:25, 205.99s/it]              2026-04-24 23:04:06.934 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 36, train_steps: 1440
+Global Step 35: training: 100%|██████████| 2/2 [06:54<00:00, 207.48s/it]10, 10.14s/it]
+2026-04-24 23:04:07.562 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 36	train_steps 1440	{'step': '36/10000', 'learning_rate': '0.00001000', 'loss': '-7.683e-08', 'grad_norm': '0.00386245', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.91342163', 'grpo_loop_time': '414.95724487', 'ref_model_time': '115.08852386', 'approx_kl': '2.333e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.683e-08', 'kl_loss': '0.00074574', 'kl_moving': '0.00074574', 'kl_stepwise': '1.636e-09', 'gathered_avg_reward_mean': '-0.98039615', 'gathered_avg_reward_std': '0.82402951', 'gathered_videoalign_local_mq_reward_mean': '-0.79750645', 'gathered_videoalign_local_mq_reward_std': '0.34808794', 'gathered_videoalign_local_overall_reward_mean': '-1.93312979', 'gathered_videoalign_local_overall_reward_std': '1.01860201', 'gathered_videoalign_local_ta_reward_mean': '-0.02766261', 'gathered_videoalign_local_ta_reward_std': '0.69826823', 'gathered_videoalign_local_vq_reward_mean': '-1.10796070', 'gathered_videoalign_local_vq_reward_std': '0.28657660', 'gathered_ori_avg_reward_mean': '-0.98039615', 'gathered_ori_avg_reward_std': '0.82402951'}
+2026-04-24 23:04:07.612 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 23:04:07.703 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:04:07.779 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 23:05:12.487 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000036/group_0/index_5724_seed_12245_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 23:05:13.079 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:05:13.082 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 23:06:17.230 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000036/group_0/index_5724_seed_12246_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 23:06:17.902 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 23:06:17.963 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 23:06:18.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-04-24 23:08:12.883 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.93s (1.90min)
+2026-04-24 23:08:13.637 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 36: training:  50%|█████     | 1/2 [03:25<03:25, 205.45s/it]              2026-04-24 23:15:08.360 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 37, train_steps: 1480
+Global Step 36: training: 100%|██████████| 2/2 [06:54<00:00, 207.35s/it]10, 10.12s/it]
+2026-04-24 23:15:09.006 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 37	train_steps 1480	{'step': '37/10000', 'learning_rate': '0.00001000', 'loss': '2.235e-08', 'grad_norm': '0.00467858', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.94250488', 'grpo_loop_time': '414.71340942', 'ref_model_time': '113.93145752', 'approx_kl': '2.469e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.235e-08', 'kl_loss': '0.00076346', 'kl_moving': '0.00076346', 'kl_stepwise': '1.694e-09', 'gathered_avg_reward_mean': '-0.92978632', 'gathered_avg_reward_std': '0.65291452', 'gathered_videoalign_local_mq_reward_mean': '-0.81571406', 'gathered_videoalign_local_mq_reward_std': '0.43656164', 'gathered_videoalign_local_overall_reward_mean': '-1.94304359', 'gathered_videoalign_local_overall_reward_std': '0.85880780', 'gathered_videoalign_local_ta_reward_mean': '0.08347096', 'gathered_videoalign_local_ta_reward_std': '0.57822019', 'gathered_videoalign_local_vq_reward_mean': '-1.21080065', 'gathered_videoalign_local_vq_reward_std': '0.27841723', 'gathered_ori_avg_reward_mean': '-0.92978638', 'gathered_ori_avg_reward_std': '0.65291452'}
+2026-04-24 23:15:09.049 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 23:15:09.140 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:15:09.192 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-24 23:16:14.081 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000037/group_0/index_6980_seed_10946_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 23:16:14.699 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:16:14.703 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-24 23:17:18.855 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000037/group_0/index_6980_seed_10947_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 23:17:19.543 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 23:17:19.686 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 23:17:20.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.28s/it]
+2026-04-24 23:19:14.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.62s (1.89min)
+2026-04-24 23:19:15.003 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 37: training:  50%|█████     | 1/2 [03:25<03:25, 205.09s/it]              2026-04-24 23:26:08.846 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 38, train_steps: 1520
+Global Step 37: training: 100%|██████████| 2/2 [06:53<00:00, 206.93s/it]10, 10.14s/it]
+2026-04-24 23:26:09.522 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 38	train_steps 1520	{'step': '38/10000', 'learning_rate': '0.00001000', 'loss': '1.863e-07', 'grad_norm': '0.00466265', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.87147522', 'grpo_loop_time': '413.86105347', 'ref_model_time': '113.62447357', 'approx_kl': '2.612e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.863e-07', 'kl_loss': '0.00077986', 'kl_moving': '0.00077986', 'kl_stepwise': '1.454e-09', 'gathered_avg_reward_mean': '-1.01436996', 'gathered_avg_reward_std': '1.01114130', 'gathered_videoalign_local_mq_reward_mean': '-0.90200442', 'gathered_videoalign_local_mq_reward_std': '0.41485313', 'gathered_videoalign_local_overall_reward_mean': '-2.07584262', 'gathered_videoalign_local_overall_reward_std': '1.30556798', 'gathered_videoalign_local_ta_reward_mean': '0.04710256', 'gathered_videoalign_local_ta_reward_std': '0.78778994', 'gathered_videoalign_local_vq_reward_mean': '-1.22094071', 'gathered_videoalign_local_vq_reward_std': '0.37643901', 'gathered_ori_avg_reward_mean': '-1.01436996', 'gathered_ori_avg_reward_std': '1.01114118'}
+2026-04-24 23:26:09.561 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 23:26:09.651 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:26:09.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-24 23:27:14.425 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000038/group_0/index_691_seed_10955_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 23:27:15.021 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:27:15.024 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 23:28:19.176 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000038/group_0/index_691_seed_10956_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 23:28:19.923 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 23:28:19.985 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 23:28:20.818 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.07s/it]
+2026-04-24 23:30:16.245 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.26s (1.92min)
+2026-04-24 23:30:16.994 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 38: training:  50%|█████     | 1/2 [03:26<03:26, 206.61s/it]              2026-04-24 23:37:13.178 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 39, train_steps: 1560
+Global Step 38: training: 100%|██████████| 2/2 [06:56<00:00, 208.08s/it]10, 10.15s/it]
+2026-04-24 23:37:13.781 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 39	train_steps 1560	{'step': '39/10000', 'learning_rate': '0.00001000', 'loss': '-1.700e-08', 'grad_norm': '0.00414631', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.34350586', 'grpo_loop_time': '416.15625000', 'ref_model_time': '115.25928497', 'approx_kl': '2.452e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.700e-08', 'kl_loss': '0.00076318', 'kl_moving': '0.00076318', 'kl_stepwise': '9.080e-10', 'gathered_avg_reward_mean': '-0.75154215', 'gathered_avg_reward_std': '0.73314458', 'gathered_videoalign_local_mq_reward_mean': '-0.82088542', 'gathered_videoalign_local_mq_reward_std': '0.26176223', 'gathered_videoalign_local_overall_reward_mean': '-1.70168638', 'gathered_videoalign_local_overall_reward_std': '0.86884582', 'gathered_videoalign_local_ta_reward_mean': '0.19860205', 'gathered_videoalign_local_ta_reward_std': '0.62832820', 'gathered_videoalign_local_vq_reward_mean': '-1.07940292', 'gathered_videoalign_local_vq_reward_std': '0.24126677', 'gathered_ori_avg_reward_mean': '-0.75154215', 'gathered_ori_avg_reward_std': '0.73314464'}
+2026-04-24 23:37:13.829 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 23:37:13.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:37:13.996 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-24 23:38:18.819 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000039/group_0/index_7124_seed_13630_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 23:38:19.951 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:38:19.956 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-24 23:39:24.189 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000039/group_0/index_7124_seed_13631_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 23:39:24.937 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 23:39:25.048 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 23:39:25.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-04-24 23:41:19.730 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.77s (1.90min)
+2026-04-24 23:41:20.637 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 39: training:  50%|█████     | 1/2 [03:26<03:26, 206.99s/it]              2026-04-24 23:48:16.330 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 40, train_steps: 1600
+Global Step 39: training: 100%|██████████| 2/2 [06:55<00:00, 207.84s/it]10, 10.13s/it]
+2026-04-24 23:48:16.911 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 40	train_steps 1600	{'step': '40/10000', 'learning_rate': '0.00001000', 'loss': '-2.217e-07', 'grad_norm': '0.00383209', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.55941772', 'grpo_loop_time': '415.68682861', 'ref_model_time': '113.76603699', 'approx_kl': '2.540e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.217e-07', 'kl_loss': '0.00072160', 'kl_moving': '0.00072160', 'kl_stepwise': '1.912e-09', 'gathered_avg_reward_mean': '-1.05623400', 'gathered_avg_reward_std': '0.72143793', 'gathered_videoalign_local_mq_reward_mean': '-0.86127234', 'gathered_videoalign_local_mq_reward_std': '0.24058641', 'gathered_videoalign_local_overall_reward_mean': '-2.06366587', 'gathered_videoalign_local_overall_reward_std': '0.88569742', 'gathered_videoalign_local_ta_reward_mean': '-0.04880206', 'gathered_videoalign_local_ta_reward_std': '0.59905374', 'gathered_videoalign_local_vq_reward_mean': '-1.15359163', 'gathered_videoalign_local_vq_reward_std': '0.27896208', 'gathered_ori_avg_reward_mean': '-1.05623412', 'gathered_ori_avg_reward_std': '0.72143793'}
+2026-04-24 23:48:51.358 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=40 (missing=0, unexpected=0)
+2026-04-24 23:48:53.183 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-24 23:48:53.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:48:53.454 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-04-24 23:49:59.771 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000040/group_0/index_4029_seed_10540_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-24 23:50:00.351 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-24 23:50:00.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-04-24 23:51:05.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000040/group_0/index_4029_seed_10541_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-24 23:51:06.513 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-24 23:51:06.618 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-24 23:51:07.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.00s/it]
+2026-04-24 23:53:01.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.68s (1.89min)
+2026-04-24 23:53:02.050 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 40: training:  50%|█████     | 1/2 [03:27<03:27, 207.61s/it]              2026-04-24 23:59:59.584 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 41, train_steps: 1640
+Global Step 40: training: 100%|██████████| 2/2 [06:57<00:00, 208.77s/it]10, 10.15s/it]
+2026-04-25 00:00:00.144 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 41	train_steps 1640	{'step': '41/10000', 'learning_rate': '0.00001000', 'loss': '1.909e-07', 'grad_norm': '0.00435608', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '248.70397949', 'grpo_loop_time': '417.53790283', 'ref_model_time': '113.68321991', 'approx_kl': '2.353e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.909e-07', 'kl_loss': '0.00072103', 'kl_moving': '0.00072103', 'kl_stepwise': '4.045e-10', 'gathered_avg_reward_mean': '-1.15441036', 'gathered_avg_reward_std': '0.50091642', 'gathered_videoalign_local_mq_reward_mean': '-0.89385307', 'gathered_videoalign_local_mq_reward_std': '0.32487938', 'gathered_videoalign_local_overall_reward_mean': '-2.17784023', 'gathered_videoalign_local_overall_reward_std': '0.58657098', 'gathered_videoalign_local_ta_reward_mean': '-0.13098031', 'gathered_videoalign_local_ta_reward_std': '0.51881194', 'gathered_videoalign_local_vq_reward_mean': '-1.15300679', 'gathered_videoalign_local_vq_reward_std': '0.26899722', 'gathered_ori_avg_reward_mean': '-1.15441024', 'gathered_ori_avg_reward_std': '0.50091642'}
+2026-04-25 00:00:00.258 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 00:00:00.361 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:00:00.457 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 00:01:05.431 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000041/group_0/index_278_seed_9871_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 00:01:06.042 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:01:06.046 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 00:02:10.035 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000041/group_0/index_278_seed_9872_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 00:02:10.749 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 00:02:10.795 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 00:02:11.781 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.31s/it]
+2026-04-25 00:04:04.589 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.80s (1.88min)
+2026-04-25 00:04:05.334 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 41: training:  50%|█████     | 1/2 [03:24<03:24, 204.03s/it]              2026-04-25 00:10:58.025 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 42, train_steps: 1680
+Global Step 41: training: 100%|██████████| 2/2 [06:52<00:00, 206.34s/it]10, 10.13s/it]
+2026-04-25 00:10:58.644 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 42	train_steps 1680	{'step': '42/10000', 'learning_rate': '0.00001000', 'loss': '9.127e-08', 'grad_norm': '0.00397664', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.99424744', 'grpo_loop_time': '412.67871094', 'ref_model_time': '112.79704285', 'approx_kl': '2.767e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.127e-08', 'kl_loss': '0.00074935', 'kl_moving': '0.00074935', 'kl_stepwise': '1.311e-09', 'gathered_avg_reward_mean': '-0.98564482', 'gathered_avg_reward_std': '0.67907536', 'gathered_videoalign_local_mq_reward_mean': '-0.66164660', 'gathered_videoalign_local_mq_reward_std': '0.57464063', 'gathered_videoalign_local_overall_reward_mean': '-1.89765501', 'gathered_videoalign_local_overall_reward_std': '0.88736182', 'gathered_videoalign_local_ta_reward_mean': '-0.07363456', 'gathered_videoalign_local_ta_reward_std': '0.67295986', 'gathered_videoalign_local_vq_reward_mean': '-1.16237390', 'gathered_videoalign_local_vq_reward_std': '0.28634989', 'gathered_ori_avg_reward_mean': '-0.98564482', 'gathered_ori_avg_reward_std': '0.67907536'}
+2026-04-25 00:10:58.702 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 00:10:58.792 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:10:58.833 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 00:12:03.676 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000042/group_0/index_7277_seed_21237_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 00:12:04.320 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:12:04.323 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 00:13:08.563 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000042/group_0/index_7277_seed_21238_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 00:13:09.348 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 00:13:09.487 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 00:13:10.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.01s/it]
+2026-04-25 00:15:03.421 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.02s (1.88min)
+2026-04-25 00:15:04.178 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 42: training:  50%|█████     | 1/2 [03:24<03:24, 205.00s/it]              2026-04-25 00:21:59.238 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 43, train_steps: 1720
+Global Step 42: training: 100%|██████████| 2/2 [06:54<00:00, 207.49s/it]10, 10.16s/it]
+2026-04-25 00:21:59.865 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 43	train_steps 1720	{'step': '43/10000', 'learning_rate': '0.00001000', 'loss': '1.611e-07', 'grad_norm': '0.00437358', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.38972473', 'grpo_loop_time': '414.99359131', 'ref_model_time': '113.02468872', 'approx_kl': '2.395e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.611e-07', 'kl_loss': '0.00074852', 'kl_moving': '0.00074852', 'kl_stepwise': '1.055e-09', 'gathered_avg_reward_mean': '-0.87014788', 'gathered_avg_reward_std': '0.79936224', 'gathered_videoalign_local_mq_reward_mean': '-0.79422587', 'gathered_videoalign_local_mq_reward_std': '0.44220793', 'gathered_videoalign_local_overall_reward_mean': '-1.87693667', 'gathered_videoalign_local_overall_reward_std': '1.03168666', 'gathered_videoalign_local_ta_reward_mean': '0.13664074', 'gathered_videoalign_local_ta_reward_std': '0.64594340', 'gathered_videoalign_local_vq_reward_mean': '-1.21935165', 'gathered_videoalign_local_vq_reward_std': '0.23884025', 'gathered_ori_avg_reward_mean': '-0.87014800', 'gathered_ori_avg_reward_std': '0.79936224'}
+2026-04-25 00:21:59.912 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 00:22:00.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:22:00.046 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 00:23:04.969 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000043/group_0/index_656_seed_24741_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 00:23:05.592 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:23:05.599 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 00:24:09.433 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000043/group_0/index_656_seed_24742_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 00:24:10.090 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 00:24:10.152 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 00:24:11.115 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.36s/it]
+2026-04-25 00:26:03.763 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.63s (1.88min)
+2026-04-25 00:26:04.667 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 43: training:  50%|█████     | 1/2 [03:24<03:24, 204.00s/it]              2026-04-25 00:32:57.206 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 44, train_steps: 1760
+Global Step 43: training: 100%|██████████| 2/2 [06:52<00:00, 206.28s/it]10, 10.11s/it]
+2026-04-25 00:32:57.819 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 44	train_steps 1760	{'step': '44/10000', 'learning_rate': '0.00001000', 'loss': '7.357e-08', 'grad_norm': '0.00482353', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.51489258', 'grpo_loop_time': '412.55816650', 'ref_model_time': '112.63418579', 'approx_kl': '2.369e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.357e-08', 'kl_loss': '0.00069672', 'kl_moving': '0.00069672', 'kl_stepwise': '1.237e-09', 'gathered_avg_reward_mean': '-0.93364412', 'gathered_avg_reward_std': '0.83891070', 'gathered_videoalign_local_mq_reward_mean': '-0.74025428', 'gathered_videoalign_local_mq_reward_std': '0.37434766', 'gathered_videoalign_local_overall_reward_mean': '-1.84922719', 'gathered_videoalign_local_overall_reward_std': '0.97388637', 'gathered_videoalign_local_ta_reward_mean': '-0.01806096', 'gathered_videoalign_local_ta_reward_std': '0.78468025', 'gathered_videoalign_local_vq_reward_mean': '-1.09091187', 'gathered_videoalign_local_vq_reward_std': '0.29171047', 'gathered_ori_avg_reward_mean': '-0.93364406', 'gathered_ori_avg_reward_std': '0.83891070'}
+2026-04-25 00:32:57.876 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 00:32:57.965 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:32:58.011 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 00:34:03.310 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000044/group_0/index_7316_seed_27300_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 00:34:04.494 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:34:04.497 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 00:35:08.843 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000044/group_0/index_7316_seed_27301_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 00:35:09.484 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 00:35:09.566 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 00:35:10.524 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.37s/it]
+2026-04-25 00:37:04.191 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.64s (1.89min)
+2026-04-25 00:37:04.941 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 44: training:  50%|█████     | 1/2 [03:24<03:24, 204.89s/it]              2026-04-25 00:43:59.674 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 45, train_steps: 1800
+Global Step 44: training: 100%|██████████| 2/2 [06:54<00:00, 207.36s/it]10, 10.15s/it]
+2026-04-25 00:44:00.287 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 45	train_steps 1800	{'step': '45/10000', 'learning_rate': '0.00001000', 'loss': '-9.127e-08', 'grad_norm': '0.00463043', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.97767639', 'grpo_loop_time': '414.72949219', 'ref_model_time': '113.64231873', 'approx_kl': '2.306e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.127e-08', 'kl_loss': '0.00080074', 'kl_moving': '0.00080074', 'kl_stepwise': '9.430e-10', 'gathered_avg_reward_mean': '-0.88035119', 'gathered_avg_reward_std': '0.66763145', 'gathered_videoalign_local_mq_reward_mean': '-0.85423392', 'gathered_videoalign_local_mq_reward_std': '0.33802998', 'gathered_videoalign_local_overall_reward_mean': '-1.87839794', 'gathered_videoalign_local_overall_reward_std': '0.84073400', 'gathered_videoalign_local_ta_reward_mean': '0.11769557', 'gathered_videoalign_local_ta_reward_std': '0.58880544', 'gathered_videoalign_local_vq_reward_mean': '-1.14185953', 'gathered_videoalign_local_vq_reward_std': '0.29605389', 'gathered_ori_avg_reward_mean': '-0.88035119', 'gathered_ori_avg_reward_std': '0.66763145'}
+2026-04-25 00:44:00.348 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 00:44:00.436 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:44:00.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 00:45:05.495 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000045/group_0/index_7297_seed_12289_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 00:45:06.130 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:45:06.134 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 00:46:10.020 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000045/group_0/index_7297_seed_12290_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 00:46:10.673 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 00:46:10.813 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 00:46:11.627 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-25 00:48:05.182 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.47s (1.89min)
+2026-04-25 00:48:05.924 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 45: training:  50%|█████     | 1/2 [03:24<03:24, 204.25s/it]              2026-04-25 00:54:58.900 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 46, train_steps: 1840
+Global Step 45: training: 100%|██████████| 2/2 [06:52<00:00, 206.49s/it]10, 10.13s/it]
+2026-04-25 00:54:59.536 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 46	train_steps 1840	{'step': '46/10000', 'learning_rate': '0.00001000', 'loss': '2.366e-07', 'grad_norm': '0.00484161', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.49246216', 'grpo_loop_time': '412.98736572', 'ref_model_time': '113.46959686', 'approx_kl': '2.526e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.366e-07', 'kl_loss': '0.00078972', 'kl_moving': '0.00078972', 'kl_stepwise': '1.019e-09', 'gathered_avg_reward_mean': '-1.56801701', 'gathered_avg_reward_std': '0.77557486', 'gathered_videoalign_local_mq_reward_mean': '-0.92489189', 'gathered_videoalign_local_mq_reward_std': '0.35334557', 'gathered_videoalign_local_overall_reward_mean': '-2.63871598', 'gathered_videoalign_local_overall_reward_std': '1.02645600', 'gathered_videoalign_local_ta_reward_mean': '-0.49731788', 'gathered_videoalign_local_ta_reward_std': '0.62328666', 'gathered_videoalign_local_vq_reward_mean': '-1.21650624', 'gathered_videoalign_local_vq_reward_std': '0.39277276', 'gathered_ori_avg_reward_mean': '-1.56801701', 'gathered_ori_avg_reward_std': '0.77557480'}
+2026-04-25 00:54:59.583 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 00:54:59.673 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:54:59.720 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 00:56:04.691 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000046/group_0/index_5451_seed_5374_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 00:56:05.323 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 00:56:05.327 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 00:57:09.480 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000046/group_0/index_5451_seed_5375_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 00:57:10.209 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 00:57:10.257 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 00:57:11.109 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-25 00:59:04.025 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.76s (1.88min)
+2026-04-25 00:59:04.983 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 46: training:  50%|█████     | 1/2 [03:24<03:24, 204.68s/it]              2026-04-25 01:05:59.422 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 47, train_steps: 1880
+Global Step 46: training: 100%|██████████| 2/2 [06:54<00:00, 207.22s/it]10, 10.15s/it]
+2026-04-25 01:06:00.056 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 47	train_steps 1880	{'step': '47/10000', 'learning_rate': '0.00001000', 'loss': '-1.527e-07', 'grad_norm': '0.00429726', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.10462952', 'grpo_loop_time': '414.43731689', 'ref_model_time': '112.76435852', 'approx_kl': '2.362e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.527e-07', 'kl_loss': '0.00074228', 'kl_moving': '0.00074228', 'kl_stepwise': '8.818e-10', 'gathered_avg_reward_mean': '-1.02180839', 'gathered_avg_reward_std': '0.99444121', 'gathered_videoalign_local_mq_reward_mean': '-0.75402975', 'gathered_videoalign_local_mq_reward_std': '0.58459717', 'gathered_videoalign_local_overall_reward_mean': '-1.96373892', 'gathered_videoalign_local_overall_reward_std': '1.34345090', 'gathered_videoalign_local_ta_reward_mean': '-0.07987800', 'gathered_videoalign_local_ta_reward_std': '0.75576353', 'gathered_videoalign_local_vq_reward_mean': '-1.12983119', 'gathered_videoalign_local_vq_reward_std': '0.39742988', 'gathered_ori_avg_reward_mean': '-1.02180851', 'gathered_ori_avg_reward_std': '0.99444127'}
+2026-04-25 01:06:00.097 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 01:06:00.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:06:00.226 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 01:07:05.427 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000047/group_0/index_841_seed_31574_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 01:07:06.009 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:07:06.015 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 01:08:10.157 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000047/group_0/index_841_seed_31575_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 01:08:10.975 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 01:08:11.087 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 01:08:12.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.91s/it]
+2026-04-25 01:10:05.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.63s (1.89min)
+2026-04-25 01:10:06.418 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 47: training:  50%|█████     | 1/2 [03:24<03:24, 204.52s/it]              2026-04-25 01:16:59.729 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 48, train_steps: 1920
+Global Step 47: training: 100%|██████████| 2/2 [06:53<00:00, 206.66s/it]10, 10.13s/it]
+2026-04-25 01:17:00.357 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 48	train_steps 1920	{'step': '48/10000', 'learning_rate': '0.00001000', 'loss': '1.290e-07', 'grad_norm': '0.00464907', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.23252869', 'grpo_loop_time': '413.31808472', 'ref_model_time': '113.63442993', 'approx_kl': '2.558e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.290e-07', 'kl_loss': '0.00071722', 'kl_moving': '0.00071722', 'kl_stepwise': '1.174e-09', 'gathered_avg_reward_mean': '-0.76753569', 'gathered_avg_reward_std': '0.88366985', 'gathered_videoalign_local_mq_reward_mean': '-0.70824927', 'gathered_videoalign_local_mq_reward_std': '0.57409275', 'gathered_videoalign_local_overall_reward_mean': '-1.61526227', 'gathered_videoalign_local_overall_reward_std': '1.26046216', 'gathered_videoalign_local_ta_reward_mean': '0.08019093', 'gathered_videoalign_local_ta_reward_std': '0.63477433', 'gathered_videoalign_local_vq_reward_mean': '-0.98720390', 'gathered_videoalign_local_vq_reward_std': '0.41375852', 'gathered_ori_avg_reward_mean': '-0.76753569', 'gathered_ori_avg_reward_std': '0.88366985'}
+2026-04-25 01:17:00.453 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 01:17:00.541 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:17:00.561 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 01:18:05.693 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000048/group_0/index_2883_seed_31728_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 01:18:06.301 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:18:06.304 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 01:19:10.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000048/group_0/index_2883_seed_31729_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 01:19:11.093 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 01:19:11.142 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 01:19:12.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.71s/it]
+2026-04-25 01:21:04.608 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.49s (1.87min)
+2026-04-25 01:21:05.360 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 48: training:  50%|█████     | 1/2 [03:24<03:24, 204.28s/it]              2026-04-25 01:27:59.076 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 49, train_steps: 1960
+Global Step 48: training: 100%|██████████| 2/2 [06:53<00:00, 206.86s/it]10, 10.14s/it]
+2026-04-25 01:27:59.694 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 49	train_steps 1960	{'step': '49/10000', 'learning_rate': '0.00001000', 'loss': '9.406e-08', 'grad_norm': '0.00728231', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.81289673', 'grpo_loop_time': '413.72390747', 'ref_model_time': '112.49031067', 'approx_kl': '2.798e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.406e-08', 'kl_loss': '0.00078007', 'kl_moving': '0.00078007', 'kl_stepwise': '1.157e-09', 'gathered_avg_reward_mean': '-0.90313196', 'gathered_avg_reward_std': '0.90832072', 'gathered_videoalign_local_mq_reward_mean': '-0.55691767', 'gathered_videoalign_local_mq_reward_std': '0.57523179', 'gathered_videoalign_local_overall_reward_mean': '-1.72946930', 'gathered_videoalign_local_overall_reward_std': '1.17613447', 'gathered_videoalign_local_ta_reward_mean': '-0.07679462', 'gathered_videoalign_local_ta_reward_std': '0.75345939', 'gathered_videoalign_local_vq_reward_mean': '-1.09575713', 'gathered_videoalign_local_vq_reward_std': '0.26498550', 'gathered_ori_avg_reward_mean': '-0.90313202', 'gathered_ori_avg_reward_std': '0.90832072'}
+2026-04-25 01:27:59.740 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 01:27:59.833 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:27:59.875 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 01:29:04.993 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000049/group_0/index_9953_seed_18575_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 01:29:06.107 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:29:06.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 01:30:10.236 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000049/group_0/index_9953_seed_18576_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 01:30:11.055 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 01:30:11.197 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 01:30:12.073 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.36s/it]
+2026-04-25 01:32:05.098 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.02s (1.88min)
+2026-04-25 01:32:05.839 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 49: training:  50%|█████     | 1/2 [03:24<03:24, 204.97s/it]              2026-04-25 01:38:59.783 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 50, train_steps: 2000
+Global Step 49: training: 100%|██████████| 2/2 [06:53<00:00, 206.97s/it]10, 10.14s/it]
+2026-04-25 01:39:00.399 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 50	train_steps 2000	{'step': '50/10000', 'learning_rate': '0.00001000', 'loss': '-5.746e-07', 'grad_norm': '0.00693806', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.01586914', 'grpo_loop_time': '413.95214844', 'ref_model_time': '113.01545715', 'approx_kl': '2.622e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.746e-07', 'kl_loss': '0.00081629', 'kl_moving': '0.00081629', 'kl_stepwise': '1.155e-09', 'gathered_avg_reward_mean': '-0.96793157', 'gathered_avg_reward_std': '0.87925768', 'gathered_videoalign_local_mq_reward_mean': '-0.83394098', 'gathered_videoalign_local_mq_reward_std': '0.36057895', 'gathered_videoalign_local_overall_reward_mean': '-1.95902109', 'gathered_videoalign_local_overall_reward_std': '1.04744148', 'gathered_videoalign_local_ta_reward_mean': '0.02315800', 'gathered_videoalign_local_ta_reward_std': '0.75917780', 'gathered_videoalign_local_vq_reward_mean': '-1.14823806', 'gathered_videoalign_local_vq_reward_std': '0.19201815', 'gathered_ori_avg_reward_mean': '-0.96793151', 'gathered_ori_avg_reward_std': '0.87925768'}
+2026-04-25 01:39:35.342 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=50 (missing=0, unexpected=0)
+2026-04-25 01:39:37.202 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 01:39:37.348 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:39:37.396 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-25 01:40:43.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000050/group_0/index_8040_seed_7961_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 01:40:44.515 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:40:44.518 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 01:41:48.386 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000050/group_0/index_8040_seed_7962_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 01:41:49.099 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 01:41:49.149 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 01:41:50.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.12s/it]
+2026-04-25 01:43:43.911 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.70s (1.89min)
+2026-04-25 01:43:44.668 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 50: training:  50%|█████     | 1/2 [03:26<03:26, 206.37s/it]              2026-04-25 01:50:39.908 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 51, train_steps: 2040
+Global Step 50: training: 100%|██████████| 2/2 [06:55<00:00, 207.61s/it]10, 10.13s/it]
+2026-04-25 01:50:40.519 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 51	train_steps 2040	{'step': '51/10000', 'learning_rate': '0.00001000', 'loss': '-4.750e-08', 'grad_norm': '0.00393262', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.38246155', 'grpo_loop_time': '415.22933960', 'ref_model_time': '113.69765472', 'approx_kl': '2.539e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.750e-08', 'kl_loss': '0.00076474', 'kl_moving': '0.00076474', 'kl_stepwise': '1.372e-09', 'gathered_avg_reward_mean': '-0.73100579', 'gathered_avg_reward_std': '0.81751317', 'gathered_videoalign_local_mq_reward_mean': '-0.91559196', 'gathered_videoalign_local_mq_reward_std': '0.27634814', 'gathered_videoalign_local_overall_reward_mean': '-1.79660463', 'gathered_videoalign_local_overall_reward_std': '0.92456394', 'gathered_videoalign_local_ta_reward_mean': '0.33459318', 'gathered_videoalign_local_ta_reward_std': '0.75499111', 'gathered_videoalign_local_vq_reward_mean': '-1.21560574', 'gathered_videoalign_local_vq_reward_std': '0.22934011', 'gathered_ori_avg_reward_mean': '-0.73100579', 'gathered_ori_avg_reward_std': '0.81751317'}
+2026-04-25 01:50:40.567 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 01:50:40.657 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:50:40.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 01:51:45.707 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000051/group_0/index_7704_seed_32713_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 01:51:46.296 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 01:51:46.299 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 01:52:50.839 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000051/group_0/index_7704_seed_32714_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 01:52:51.543 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 01:52:51.607 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 01:52:52.564 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-04-25 01:54:45.694 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.11s (1.89min)
+2026-04-25 01:54:46.440 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 51: training:  50%|█████     | 1/2 [03:26<03:26, 206.27s/it]              2026-04-25 02:01:41.417 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 52, train_steps: 2080
+Global Step 51: training: 100%|██████████| 2/2 [06:54<00:00, 207.49s/it]10, 10.13s/it]
+2026-04-25 02:01:42.064 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 52	train_steps 2080	{'step': '52/10000', 'learning_rate': '0.00001000', 'loss': '7.870e-08', 'grad_norm': '0.00346889', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.78295898', 'grpo_loop_time': '414.97656250', 'ref_model_time': '113.10917664', 'approx_kl': '2.562e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.870e-08', 'kl_loss': '0.00066653', 'kl_moving': '0.00066653', 'kl_stepwise': '6.403e-10', 'gathered_avg_reward_mean': '-1.05338418', 'gathered_avg_reward_std': '0.78150582', 'gathered_videoalign_local_mq_reward_mean': '-0.69224238', 'gathered_videoalign_local_mq_reward_std': '0.37372646', 'gathered_videoalign_local_overall_reward_mean': '-1.92776740', 'gathered_videoalign_local_overall_reward_std': '0.97618729', 'gathered_videoalign_local_ta_reward_mean': '-0.17900074', 'gathered_videoalign_local_ta_reward_std': '0.67270041', 'gathered_videoalign_local_vq_reward_mean': '-1.05652440', 'gathered_videoalign_local_vq_reward_std': '0.32665020', 'gathered_ori_avg_reward_mean': '-1.05338407', 'gathered_ori_avg_reward_std': '0.78150576'}
+2026-04-25 02:01:42.118 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 02:01:42.202 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:01:42.255 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 02:02:47.443 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000052/group_0/index_5842_seed_17139_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 02:02:48.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:02:48.059 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 02:03:52.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000052/group_0/index_5842_seed_17140_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 02:03:53.253 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 02:03:53.317 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 02:03:54.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.03s/it]
+2026-04-25 02:05:47.329 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.76s (1.88min)
+2026-04-25 02:05:48.074 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 52: training:  50%|█████     | 1/2 [03:25<03:25, 205.91s/it]              2026-04-25 02:12:42.745 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 53, train_steps: 2120
+Global Step 52: training: 100%|██████████| 2/2 [06:54<00:00, 207.32s/it]10, 10.13s/it]
+2026-04-25 02:12:43.366 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 53	train_steps 2120	{'step': '53/10000', 'learning_rate': '0.00001000', 'loss': '-3.725e-09', 'grad_norm': '0.00623222', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.87318420', 'grpo_loop_time': '414.65261841', 'ref_model_time': '112.75585175', 'approx_kl': '2.483e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.725e-09', 'kl_loss': '0.00068790', 'kl_moving': '0.00068790', 'kl_stepwise': '7.261e-10', 'gathered_avg_reward_mean': '-0.90808707', 'gathered_avg_reward_std': '0.91571927', 'gathered_videoalign_local_mq_reward_mean': '-0.86503249', 'gathered_videoalign_local_mq_reward_std': '0.29121637', 'gathered_videoalign_local_overall_reward_mean': '-1.91657662', 'gathered_videoalign_local_overall_reward_std': '1.04625392', 'gathered_videoalign_local_ta_reward_mean': '0.10040255', 'gathered_videoalign_local_ta_reward_std': '0.83022773', 'gathered_videoalign_local_vq_reward_mean': '-1.15194654', 'gathered_videoalign_local_vq_reward_std': '0.25692993', 'gathered_ori_avg_reward_mean': '-0.90808702', 'gathered_ori_avg_reward_std': '0.91571927'}
+2026-04-25 02:12:43.409 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 02:12:43.506 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:12:43.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 02:13:48.858 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000053/group_0/index_608_seed_28453_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 02:13:49.478 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:13:49.481 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 02:14:53.455 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000053/group_0/index_608_seed_28454_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 02:14:54.153 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 02:14:54.295 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 02:14:55.400 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.22s/it]
+2026-04-25 02:16:50.906 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.26s (1.92min)
+2026-04-25 02:16:51.652 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 53: training:  50%|█████     | 1/2 [03:27<03:27, 207.97s/it]              2026-04-25 02:23:48.265 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 54, train_steps: 2160
+Global Step 53: training: 100%|██████████| 2/2 [06:56<00:00, 208.31s/it]10, 10.13s/it]
+2026-04-25 02:23:48.842 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 54	train_steps 2160	{'step': '54/10000', 'learning_rate': '0.00001000', 'loss': '8.650e-08', 'grad_norm': '0.00484556', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '248.15965271', 'grpo_loop_time': '416.61877441', 'ref_model_time': '115.26236725', 'approx_kl': '2.346e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.650e-08', 'kl_loss': '0.00073548', 'kl_moving': '0.00073548', 'kl_stepwise': '1.051e-09', 'gathered_avg_reward_mean': '-0.76118839', 'gathered_avg_reward_std': '0.57441527', 'gathered_videoalign_local_mq_reward_mean': '-0.82649374', 'gathered_videoalign_local_mq_reward_std': '0.23561841', 'gathered_videoalign_local_overall_reward_mean': '-1.67031765', 'gathered_videoalign_local_overall_reward_std': '0.67741829', 'gathered_videoalign_local_ta_reward_mean': '0.14794087', 'gathered_videoalign_local_ta_reward_std': '0.55061108', 'gathered_videoalign_local_vq_reward_mean': '-0.99176478', 'gathered_videoalign_local_vq_reward_std': '0.29489473', 'gathered_ori_avg_reward_mean': '-0.76118839', 'gathered_ori_avg_reward_std': '0.57441527'}
+2026-04-25 02:23:48.948 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 02:23:49.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:23:49.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 02:24:54.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000054/group_0/index_731_seed_19095_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 02:24:55.629 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:24:55.630 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 02:25:59.430 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000054/group_0/index_731_seed_19096_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 02:26:00.233 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 02:26:00.375 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 02:26:01.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.10s/it]
+2026-04-25 02:27:54.965 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.49s (1.89min)
+2026-04-25 02:27:55.727 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 54: training:  50%|█████     | 1/2 [03:25<03:25, 205.30s/it]              2026-04-25 02:34:49.798 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 55, train_steps: 2200
+Global Step 54: training: 100%|██████████| 2/2 [06:54<00:00, 207.03s/it]10, 10.14s/it]
+2026-04-25 02:34:50.409 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 55	train_steps 2200	{'step': '55/10000', 'learning_rate': '0.00001000', 'loss': '9.337e-08', 'grad_norm': '0.00534928', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.69555664', 'grpo_loop_time': '414.06610107', 'ref_model_time': '113.49075317', 'approx_kl': '2.607e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.337e-08', 'kl_loss': '0.00079501', 'kl_moving': '0.00079501', 'kl_stepwise': '1.570e-09', 'gathered_avg_reward_mean': '-1.36129379', 'gathered_avg_reward_std': '0.57411748', 'gathered_videoalign_local_mq_reward_mean': '-1.03768253', 'gathered_videoalign_local_mq_reward_std': '0.17758219', 'gathered_videoalign_local_overall_reward_mean': '-2.47944689', 'gathered_videoalign_local_overall_reward_std': '0.64826632', 'gathered_videoalign_local_ta_reward_mean': '-0.24314040', 'gathered_videoalign_local_ta_reward_std': '0.55165195', 'gathered_videoalign_local_vq_reward_mean': '-1.19862413', 'gathered_videoalign_local_vq_reward_std': '0.25109071', 'gathered_ori_avg_reward_mean': '-1.36129367', 'gathered_ori_avg_reward_std': '0.57411748'}
+2026-04-25 02:34:50.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 02:34:50.556 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:34:50.570 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 02:35:55.633 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000055/group_0/index_4724_seed_8573_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 02:35:56.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:35:56.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 02:37:00.253 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000055/group_0/index_4724_seed_8574_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 02:37:00.803 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 02:37:00.944 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 02:37:01.974 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.57s/it]
+2026-04-25 02:38:55.198 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.10s (1.88min)
+2026-04-25 02:38:56.014 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 55: training:  50%|█████     | 1/2 [03:26<03:26, 206.08s/it]              2026-04-25 02:45:52.287 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 56, train_steps: 2240
+Global Step 55: training: 100%|██████████| 2/2 [06:56<00:00, 208.14s/it]10, 10.19s/it]
+2026-04-25 02:45:52.910 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 56	train_steps 2240	{'step': '56/10000', 'learning_rate': '0.00001000', 'loss': '8.074e-08', 'grad_norm': '0.00424230', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.40090942', 'grpo_loop_time': '416.28683472', 'ref_model_time': '113.09999847', 'approx_kl': '2.536e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.074e-08', 'kl_loss': '0.00075024', 'kl_moving': '0.00075024', 'kl_stepwise': '2.536e-09', 'gathered_avg_reward_mean': '-0.90609932', 'gathered_avg_reward_std': '0.64815402', 'gathered_videoalign_local_mq_reward_mean': '-0.77197409', 'gathered_videoalign_local_mq_reward_std': '0.31260794', 'gathered_videoalign_local_overall_reward_mean': '-1.87900829', 'gathered_videoalign_local_overall_reward_std': '0.81378895', 'gathered_videoalign_local_ta_reward_mean': '0.06680965', 'gathered_videoalign_local_ta_reward_std': '0.55908304', 'gathered_videoalign_local_vq_reward_mean': '-1.17384386', 'gathered_videoalign_local_vq_reward_std': '0.29372081', 'gathered_ori_avg_reward_mean': '-0.90609926', 'gathered_ori_avg_reward_std': '0.64815402'}
+2026-04-25 02:45:52.980 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 02:45:53.067 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:45:53.080 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 02:46:58.317 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000056/group_0/index_8869_seed_19024_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 02:46:58.934 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:46:58.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 02:48:03.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000056/group_0/index_8869_seed_19025_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 02:48:03.887 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 02:48:03.958 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 02:48:04.946 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-25 02:49:57.944 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.79s (1.88min)
+2026-04-25 02:49:58.692 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 56: training:  50%|█████     | 1/2 [03:27<03:27, 207.83s/it]              2026-04-25 02:56:56.054 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 57, train_steps: 2280
+Global Step 56: training: 100%|██████████| 2/2 [06:57<00:00, 208.68s/it]10, 10.14s/it]
+2026-04-25 02:56:56.626 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 57	train_steps 2280	{'step': '57/10000', 'learning_rate': '0.00001000', 'loss': '-3.250e-07', 'grad_norm': '0.00389028', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.63041687', 'grpo_loop_time': '417.36117554', 'ref_model_time': '112.79364777', 'approx_kl': '2.527e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.250e-07', 'kl_loss': '0.00075670', 'kl_moving': '0.00075670', 'kl_stepwise': '1.295e-09', 'gathered_avg_reward_mean': '-1.05786121', 'gathered_avg_reward_std': '0.95776451', 'gathered_videoalign_local_mq_reward_mean': '-0.81756878', 'gathered_videoalign_local_mq_reward_std': '0.38141549', 'gathered_videoalign_local_overall_reward_mean': '-2.07425356', 'gathered_videoalign_local_overall_reward_std': '1.24960673', 'gathered_videoalign_local_ta_reward_mean': '-0.04146907', 'gathered_videoalign_local_ta_reward_std': '0.72706056', 'gathered_videoalign_local_vq_reward_mean': '-1.21521544', 'gathered_videoalign_local_vq_reward_std': '0.42611980', 'gathered_ori_avg_reward_mean': '-1.05786133', 'gathered_ori_avg_reward_std': '0.95776451'}
+2026-04-25 02:56:56.726 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 02:56:56.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:56:56.847 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 02:58:01.750 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000057/group_0/index_7324_seed_9609_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 02:58:02.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 02:58:02.356 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-25 02:59:07.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000057/group_0/index_7324_seed_9610_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 02:59:08.398 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 02:59:08.538 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 02:59:09.395 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.12s/it]
+2026-04-25 03:01:02.669 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.24s (1.89min)
+2026-04-25 03:01:03.515 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 57: training:  50%|█████     | 1/2 [03:25<03:25, 205.27s/it]              2026-04-25 03:07:57.563 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 58, train_steps: 2320
+Global Step 57: training: 100%|██████████| 2/2 [06:54<00:00, 207.03s/it]10, 10.14s/it]
+2026-04-25 03:07:58.212 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 58	train_steps 2320	{'step': '58/10000', 'learning_rate': '0.00001000', 'loss': '7.730e-08', 'grad_norm': '0.00396460', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.60879517', 'grpo_loop_time': '414.05389404', 'ref_model_time': '113.23940277', 'approx_kl': '2.483e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.730e-08', 'kl_loss': '0.00064504', 'kl_moving': '0.00064504', 'kl_stepwise': '3.231e-10', 'gathered_avg_reward_mean': '-0.70190603', 'gathered_avg_reward_std': '0.92237437', 'gathered_videoalign_local_mq_reward_mean': '-0.50678879', 'gathered_videoalign_local_mq_reward_std': '0.50076830', 'gathered_videoalign_local_overall_reward_mean': '-1.45426416', 'gathered_videoalign_local_overall_reward_std': '1.10739613', 'gathered_videoalign_local_ta_reward_mean': '0.05045205', 'gathered_videoalign_local_ta_reward_std': '0.85276371', 'gathered_videoalign_local_vq_reward_mean': '-0.99792743', 'gathered_videoalign_local_vq_reward_std': '0.31919968', 'gathered_ori_avg_reward_mean': '-0.70190609', 'gathered_ori_avg_reward_std': '0.92237437'}
+2026-04-25 03:07:58.255 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 03:07:58.346 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:07:58.392 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 03:09:03.635 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000058/group_0/index_4989_seed_16546_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 03:09:04.244 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:09:04.245 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 03:10:08.506 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000058/group_0/index_4989_seed_16547_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 03:10:09.199 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 03:10:09.245 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 03:10:10.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-04-25 03:12:03.134 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.89s (1.88min)
+2026-04-25 03:12:03.882 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 58: training:  50%|█████     | 1/2 [03:25<03:25, 205.08s/it]              2026-04-25 03:18:58.328 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 59, train_steps: 2360
+Global Step 58: training: 100%|██████████| 2/2 [06:54<00:00, 207.18s/it]10, 10.13s/it]
+2026-04-25 03:18:58.887 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 59	train_steps 2360	{'step': '59/10000', 'learning_rate': '0.00001000', 'loss': '9.779e-08', 'grad_norm': '0.00503387', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.54435730', 'grpo_loop_time': '414.36340332', 'ref_model_time': '112.89141846', 'approx_kl': '2.414e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.779e-08', 'kl_loss': '0.00078237', 'kl_moving': '0.00078237', 'kl_stepwise': '1.435e-09', 'gathered_avg_reward_mean': '-1.25772393', 'gathered_avg_reward_std': '0.68844897', 'gathered_videoalign_local_mq_reward_mean': '-0.90292931', 'gathered_videoalign_local_mq_reward_std': '0.31641531', 'gathered_videoalign_local_overall_reward_mean': '-2.32948303', 'gathered_videoalign_local_overall_reward_std': '0.86283755', 'gathered_videoalign_local_ta_reward_mean': '-0.18596472', 'gathered_videoalign_local_ta_reward_std': '0.57081151', 'gathered_videoalign_local_vq_reward_mean': '-1.24058902', 'gathered_videoalign_local_vq_reward_std': '0.23783170', 'gathered_ori_avg_reward_mean': '-1.25772381', 'gathered_ori_avg_reward_std': '0.68844897'}
+2026-04-25 03:18:58.990 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 03:18:59.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:18:59.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 03:20:04.202 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000059/group_0/index_4108_seed_23778_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 03:20:05.311 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:20:05.317 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 03:21:09.705 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000059/group_0/index_4108_seed_23779_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 03:21:10.434 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 03:21:10.575 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 03:21:11.366 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.27s/it]
+2026-04-25 03:23:04.517 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.02s (1.88min)
+2026-04-25 03:23:05.280 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 59: training:  50%|█████     | 1/2 [03:24<03:24, 204.06s/it]              2026-04-25 03:29:58.050 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 60, train_steps: 2400
+Global Step 59: training: 100%|██████████| 2/2 [06:52<00:00, 206.38s/it]10, 10.13s/it]
+2026-04-25 03:29:58.681 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 60	train_steps 2400	{'step': '60/10000', 'learning_rate': '0.00001000', 'loss': '-1.565e-07', 'grad_norm': '0.00387617', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.20347595', 'grpo_loop_time': '412.75958252', 'ref_model_time': '113.01786041', 'approx_kl': '2.520e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.565e-07', 'kl_loss': '0.00081564', 'kl_moving': '0.00081564', 'kl_stepwise': '1.153e-09', 'gathered_avg_reward_mean': '-1.11020541', 'gathered_avg_reward_std': '0.72981119', 'gathered_videoalign_local_mq_reward_mean': '-0.84360921', 'gathered_videoalign_local_mq_reward_std': '0.34550402', 'gathered_videoalign_local_overall_reward_mean': '-2.15349245', 'gathered_videoalign_local_overall_reward_std': '0.88255942', 'gathered_videoalign_local_ta_reward_mean': '-0.06691811', 'gathered_videoalign_local_ta_reward_std': '0.64487284', 'gathered_videoalign_local_vq_reward_mean': '-1.24296522', 'gathered_videoalign_local_vq_reward_std': '0.24459380', 'gathered_ori_avg_reward_mean': '-1.11020541', 'gathered_ori_avg_reward_std': '0.72981119'}
+2026-04-25 03:30:33.137 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=60 (missing=0, unexpected=0)
+2026-04-25 03:30:35.782 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 03:30:35.870 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:30:35.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-25 03:31:42.291 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000060/group_0/index_7288_seed_20155_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 03:31:42.968 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:31:42.969 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-25 03:32:46.835 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000060/group_0/index_7288_seed_20156_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 03:32:47.555 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 03:32:47.699 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 03:32:48.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.32s/it]
+2026-04-25 03:34:41.489 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.89s (1.88min)
+2026-04-25 03:34:42.384 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 60: training:  50%|█████     | 1/2 [03:25<03:25, 205.36s/it]              2026-04-25 03:41:36.652 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 61, train_steps: 2440
+Global Step 60: training: 100%|██████████| 2/2 [06:54<00:00, 207.13s/it]10, 10.13s/it]
+2026-04-25 03:41:37.270 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 61	train_steps 2440	{'step': '61/10000', 'learning_rate': '0.00001000', 'loss': '3.655e-08', 'grad_norm': '0.00573948', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.37057495', 'grpo_loop_time': '414.26937866', 'ref_model_time': '112.89376068', 'approx_kl': '2.478e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.655e-08', 'kl_loss': '0.00077867', 'kl_moving': '0.00077867', 'kl_stepwise': '1.630e-09', 'gathered_avg_reward_mean': '-1.07902908', 'gathered_avg_reward_std': '0.87138569', 'gathered_videoalign_local_mq_reward_mean': '-0.80743372', 'gathered_videoalign_local_mq_reward_std': '0.47580507', 'gathered_videoalign_local_overall_reward_mean': '-2.08032799', 'gathered_videoalign_local_overall_reward_std': '1.18344498', 'gathered_videoalign_local_ta_reward_mean': '-0.07773004', 'gathered_videoalign_local_ta_reward_std': '0.63706398', 'gathered_videoalign_local_vq_reward_mean': '-1.19516444', 'gathered_videoalign_local_vq_reward_std': '0.31430054', 'gathered_ori_avg_reward_mean': '-1.07902908', 'gathered_ori_avg_reward_std': '0.87138575'}
+2026-04-25 03:41:37.320 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 03:41:37.414 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:41:37.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 03:42:42.668 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000061/group_0/index_7919_seed_4851_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 03:42:43.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:42:43.285 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 03:43:47.399 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000061/group_0/index_7919_seed_4852_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 03:43:47.992 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 03:43:48.070 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 03:43:49.010 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.37s/it]
+2026-04-25 03:45:42.147 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.12s (1.89min)
+2026-04-25 03:45:42.888 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 61: training:  50%|█████     | 1/2 [03:25<03:25, 205.91s/it]              2026-04-25 03:52:38.658 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 62, train_steps: 2480
+Global Step 61: training: 100%|██████████| 2/2 [06:55<00:00, 207.84s/it]10, 10.15s/it]
+2026-04-25 03:52:39.197 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 62	train_steps 2480	{'step': '62/10000', 'learning_rate': '0.00001000', 'loss': '-1.676e-07', 'grad_norm': '0.00412599', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.48507690', 'grpo_loop_time': '415.68136597', 'ref_model_time': '113.11804199', 'approx_kl': '2.309e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.676e-07', 'kl_loss': '0.00073992', 'kl_moving': '0.00073992', 'kl_stepwise': '1.569e-09', 'gathered_avg_reward_mean': '-1.05028951', 'gathered_avg_reward_std': '0.71267480', 'gathered_videoalign_local_mq_reward_mean': '-0.93460190', 'gathered_videoalign_local_mq_reward_std': '0.19839120', 'gathered_videoalign_local_overall_reward_mean': '-2.14459252', 'gathered_videoalign_local_overall_reward_std': '0.78746063', 'gathered_videoalign_local_ta_reward_mean': '0.04401349', 'gathered_videoalign_local_ta_reward_std': '0.68205434', 'gathered_videoalign_local_vq_reward_mean': '-1.25400400', 'gathered_videoalign_local_vq_reward_std': '0.22569786', 'gathered_ori_avg_reward_mean': '-1.05028951', 'gathered_ori_avg_reward_std': '0.71267480'}
+2026-04-25 03:52:39.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 03:52:39.562 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:52:39.668 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 03:53:44.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000062/group_0/index_2641_seed_15967_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 03:53:45.408 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 03:53:45.411 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 03:54:50.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000062/group_0/index_2641_seed_15968_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 03:54:50.798 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 03:54:50.895 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 03:54:51.760 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.27s/it]
+2026-04-25 03:56:45.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.66s (1.89min)
+2026-04-25 03:56:46.244 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 62: training:  50%|█████     | 1/2 [03:25<03:25, 205.70s/it]              2026-04-25 04:03:40.370 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 63, train_steps: 2520
+Global Step 62: training: 100%|██████████| 2/2 [06:54<00:00, 207.06s/it]10, 10.12s/it]
+2026-04-25 04:03:40.955 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 63	train_steps 2520	{'step': '63/10000', 'learning_rate': '0.00001000', 'loss': '6.845e-08', 'grad_norm': '0.00437331', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.70967102', 'grpo_loop_time': '414.11743164', 'ref_model_time': '113.66477966', 'approx_kl': '2.227e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.845e-08', 'kl_loss': '0.00070087', 'kl_moving': '0.00070087', 'kl_stepwise': '7.873e-10', 'gathered_avg_reward_mean': '-1.18517876', 'gathered_avg_reward_std': '0.73340499', 'gathered_videoalign_local_mq_reward_mean': '-0.76462954', 'gathered_videoalign_local_mq_reward_std': '0.41911706', 'gathered_videoalign_local_overall_reward_mean': '-2.13747025', 'gathered_videoalign_local_overall_reward_std': '0.99298817', 'gathered_videoalign_local_ta_reward_mean': '-0.23288730', 'gathered_videoalign_local_ta_reward_std': '0.60160822', 'gathered_videoalign_local_vq_reward_mean': '-1.13995349', 'gathered_videoalign_local_vq_reward_std': '0.35604939', 'gathered_ori_avg_reward_mean': '-1.18517876', 'gathered_ori_avg_reward_std': '0.73340505'}
+2026-04-25 04:03:41.048 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 04:03:41.138 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:03:41.152 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 04:04:46.404 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000063/group_0/index_2475_seed_8902_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 04:04:47.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:04:47.003 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-25 04:05:51.988 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000063/group_0/index_2475_seed_8903_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 04:05:52.600 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 04:05:52.738 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 04:05:53.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.05s/it]
+2026-04-25 04:07:47.399 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.39s (1.89min)
+2026-04-25 04:07:48.158 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 63: training:  50%|█████     | 1/2 [03:25<03:25, 205.90s/it]              2026-04-25 04:14:42.713 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 64, train_steps: 2560
+Global Step 63: training: 100%|██████████| 2/2 [06:54<00:00, 207.27s/it]10, 10.12s/it]
+2026-04-25 04:14:43.292 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 64	train_steps 2560	{'step': '64/10000', 'learning_rate': '0.00001000', 'loss': '1.090e-07', 'grad_norm': '0.01160869', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.02629089', 'grpo_loop_time': '414.54098511', 'ref_model_time': '113.39214325', 'approx_kl': '2.503e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.090e-07', 'kl_loss': '0.00074048', 'kl_moving': '0.00074048', 'kl_stepwise': '1.253e-09', 'gathered_avg_reward_mean': '-1.05449808', 'gathered_avg_reward_std': '0.77599597', 'gathered_videoalign_local_mq_reward_mean': '-0.81987512', 'gathered_videoalign_local_mq_reward_std': '0.32456762', 'gathered_videoalign_local_overall_reward_mean': '-2.05730104', 'gathered_videoalign_local_overall_reward_std': '0.85706061', 'gathered_videoalign_local_ta_reward_mean': '-0.05169487', 'gathered_videoalign_local_ta_reward_std': '0.76467115', 'gathered_videoalign_local_vq_reward_mean': '-1.18573117', 'gathered_videoalign_local_vq_reward_std': '0.24181478', 'gathered_ori_avg_reward_mean': '-1.05449796', 'gathered_ori_avg_reward_std': '0.77599597'}
+2026-04-25 04:14:43.381 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 04:14:43.488 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:14:43.538 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 04:15:48.675 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000064/group_0/index_5671_seed_5319_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 04:15:49.787 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:15:49.791 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 04:16:54.267 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000064/group_0/index_5671_seed_5320_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 04:16:55.118 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 04:16:55.258 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 04:16:56.122 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.25s/it]
+2026-04-25 04:18:51.171 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.84s (1.91min)
+2026-04-25 04:18:51.932 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 64: training:  50%|█████     | 1/2 [03:27<03:27, 207.89s/it]              2026-04-25 04:25:49.472 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 65, train_steps: 2600
+Global Step 64: training: 100%|██████████| 2/2 [06:57<00:00, 208.77s/it]10, 10.15s/it]
+2026-04-25 04:25:50.122 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 65	train_steps 2600	{'step': '65/10000', 'learning_rate': '0.00001000', 'loss': '-2.421e-07', 'grad_norm': '0.00317176', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '248.46531677', 'grpo_loop_time': '417.54660034', 'ref_model_time': '114.83646393', 'approx_kl': '2.442e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.421e-07', 'kl_loss': '0.00067530', 'kl_moving': '0.00067530', 'kl_stepwise': '7.800e-10', 'gathered_avg_reward_mean': '-0.75135487', 'gathered_avg_reward_std': '0.85430676', 'gathered_videoalign_local_mq_reward_mean': '-0.68360281', 'gathered_videoalign_local_mq_reward_std': '0.45187789', 'gathered_videoalign_local_overall_reward_mean': '-1.63671219', 'gathered_videoalign_local_overall_reward_std': '1.09488750', 'gathered_videoalign_local_ta_reward_mean': '0.13400249', 'gathered_videoalign_local_ta_reward_std': '0.71486288', 'gathered_videoalign_local_vq_reward_mean': '-1.08711195', 'gathered_videoalign_local_vq_reward_std': '0.35491234', 'gathered_ori_avg_reward_mean': '-0.75135487', 'gathered_ori_avg_reward_std': '0.85430682'}
+2026-04-25 04:25:50.368 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 04:25:50.462 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:25:50.491 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 04:26:55.662 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000065/group_0/index_9828_seed_19026_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 04:26:56.297 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:26:56.298 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 04:28:00.387 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000065/group_0/index_9828_seed_19027_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 04:28:01.050 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 04:28:01.095 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 04:28:02.238 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.00s/it]
+2026-04-25 04:29:55.699 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.38s (1.89min)
+2026-04-25 04:29:56.439 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 65: training:  50%|█████     | 1/2 [03:24<03:24, 204.71s/it]              2026-04-25 04:36:49.691 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 66, train_steps: 2640
+Global Step 65: training: 100%|██████████| 2/2 [06:53<00:00, 206.62s/it]10, 10.12s/it]
+2026-04-25 04:36:50.316 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 66	train_steps 2640	{'step': '66/10000', 'learning_rate': '0.00001000', 'loss': '-5.588e-09', 'grad_norm': '0.00419181', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.98741150', 'grpo_loop_time': '413.23464966', 'ref_model_time': '113.38047028', 'approx_kl': '2.456e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.588e-09', 'kl_loss': '0.00070840', 'kl_moving': '0.00070840', 'kl_stepwise': '1.139e-09', 'gathered_avg_reward_mean': '-1.00593591', 'gathered_avg_reward_std': '0.66853344', 'gathered_videoalign_local_mq_reward_mean': '-0.86859161', 'gathered_videoalign_local_mq_reward_std': '0.30062833', 'gathered_videoalign_local_overall_reward_mean': '-2.05038190', 'gathered_videoalign_local_overall_reward_std': '0.88546616', 'gathered_videoalign_local_ta_reward_mean': '0.03851016', 'gathered_videoalign_local_ta_reward_std': '0.51058275', 'gathered_videoalign_local_vq_reward_mean': '-1.22030044', 'gathered_videoalign_local_vq_reward_std': '0.32852775', 'gathered_ori_avg_reward_mean': '-1.00593591', 'gathered_ori_avg_reward_std': '0.66853344'}
+2026-04-25 04:36:50.359 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 04:36:50.454 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:36:50.511 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 04:37:55.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000066/group_0/index_8959_seed_28930_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 04:37:56.220 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:37:56.221 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 04:39:00.062 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000066/group_0/index_8959_seed_28931_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 04:39:00.784 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 04:39:00.830 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 04:39:01.870 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.07s/it]
+2026-04-25 04:40:55.186 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-04-25 04:40:56.114 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 66: training:  50%|█████     | 1/2 [03:26<03:26, 206.13s/it]              2026-04-25 04:47:53.136 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 67, train_steps: 2680
+Global Step 66: training: 100%|██████████| 2/2 [06:57<00:00, 208.51s/it]10, 10.18s/it]
+2026-04-25 04:47:53.738 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 67	train_steps 2680	{'step': '67/10000', 'learning_rate': '0.00001000', 'loss': '1.183e-07', 'grad_norm': '0.00939337', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.49256897', 'grpo_loop_time': '417.03054810', 'ref_model_time': '113.14042664', 'approx_kl': '2.378e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.183e-07', 'kl_loss': '0.00073278', 'kl_moving': '0.00073278', 'kl_stepwise': '1.704e-09', 'gathered_avg_reward_mean': '-0.96190071', 'gathered_avg_reward_std': '0.78408819', 'gathered_videoalign_local_mq_reward_mean': '-0.63988495', 'gathered_videoalign_local_mq_reward_std': '0.50122160', 'gathered_videoalign_local_overall_reward_mean': '-1.81925440', 'gathered_videoalign_local_overall_reward_std': '1.00564957', 'gathered_videoalign_local_ta_reward_mean': '-0.10454728', 'gathered_videoalign_local_ta_reward_std': '0.69964147', 'gathered_videoalign_local_vq_reward_mean': '-1.07482219', 'gathered_videoalign_local_vq_reward_std': '0.37161756', 'gathered_ori_avg_reward_mean': '-0.96190083', 'gathered_ori_avg_reward_std': '0.78408819'}
+2026-04-25 04:47:53.806 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 04:47:53.894 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:47:53.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 04:48:58.789 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000067/group_0/index_4889_seed_4284_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 04:48:59.375 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:48:59.379 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 04:50:03.727 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000067/group_0/index_4889_seed_4285_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 04:50:04.304 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 04:50:04.439 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 04:50:05.439 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-25 04:51:58.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.99s (1.88min)
+2026-04-25 04:51:59.198 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 67: training:  50%|█████     | 1/2 [03:28<03:28, 208.07s/it]              2026-04-25 04:58:56.570 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 68, train_steps: 2720
+Global Step 67: training: 100%|██████████| 2/2 [06:57<00:00, 208.68s/it]10, 10.17s/it]
+2026-04-25 04:58:57.239 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 68	train_steps 2720	{'step': '68/10000', 'learning_rate': '0.00001000', 'loss': '-2.887e-08', 'grad_norm': '0.00471352', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.31015015', 'grpo_loop_time': '417.49966431', 'ref_model_time': '112.99293518', 'approx_kl': '2.531e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.887e-08', 'kl_loss': '0.00078241', 'kl_moving': '0.00078241', 'kl_stepwise': '1.991e-09', 'gathered_avg_reward_mean': '-0.83237994', 'gathered_avg_reward_std': '0.83022279', 'gathered_videoalign_local_mq_reward_mean': '-0.80044639', 'gathered_videoalign_local_mq_reward_std': '0.34405205', 'gathered_videoalign_local_overall_reward_mean': '-1.78947115', 'gathered_videoalign_local_overall_reward_std': '0.96529639', 'gathered_videoalign_local_ta_reward_mean': '0.12471117', 'gathered_videoalign_local_ta_reward_std': '0.76266748', 'gathered_videoalign_local_vq_reward_mean': '-1.11373591', 'gathered_videoalign_local_vq_reward_std': '0.31699419', 'gathered_ori_avg_reward_mean': '-0.83237994', 'gathered_ori_avg_reward_std': '0.83022279'}
+2026-04-25 04:58:57.369 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 04:58:57.457 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 04:58:57.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 05:00:02.425 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000068/group_0/index_1455_seed_8802_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 05:00:03.033 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:00:03.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 05:01:07.561 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000068/group_0/index_1455_seed_8803_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 05:01:08.263 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 05:01:08.363 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 05:01:09.277 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.70s/it]
+2026-04-25 05:03:03.070 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.76s (1.90min)
+2026-04-25 05:03:03.827 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 68: training:  50%|█████     | 1/2 [03:25<03:25, 205.29s/it]              2026-04-25 05:09:58.437 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 69, train_steps: 2760
+Global Step 68: training: 100%|██████████| 2/2 [06:54<00:00, 207.24s/it]10, 10.16s/it]
+2026-04-25 05:09:59.003 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 69	train_steps 2760	{'step': '69/10000', 'learning_rate': '0.00001000', 'loss': '-1.024e-07', 'grad_norm': '0.00415092', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.36875916', 'grpo_loop_time': '414.49200439', 'ref_model_time': '113.75979614', 'approx_kl': '2.430e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.024e-07', 'kl_loss': '0.00069315', 'kl_moving': '0.00069315', 'kl_stepwise': '1.040e-09', 'gathered_avg_reward_mean': '-1.24658263', 'gathered_avg_reward_std': '0.62109065', 'gathered_videoalign_local_mq_reward_mean': '-0.70962083', 'gathered_videoalign_local_mq_reward_std': '0.43961865', 'gathered_videoalign_local_overall_reward_mean': '-2.20104289', 'gathered_videoalign_local_overall_reward_std': '0.79988694', 'gathered_videoalign_local_ta_reward_mean': '-0.29212207', 'gathered_videoalign_local_ta_reward_std': '0.56792015', 'gathered_videoalign_local_vq_reward_mean': '-1.19930005', 'gathered_videoalign_local_vq_reward_std': '0.28106675', 'gathered_ori_avg_reward_mean': '-1.24658251', 'gathered_ori_avg_reward_std': '0.62109065'}
+2026-04-25 05:09:59.100 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 05:09:59.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:09:59.219 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 05:11:04.281 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000069/group_0/index_3653_seed_9722_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 05:11:05.422 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:11:05.425 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 05:12:09.315 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000069/group_0/index_3653_seed_9723_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 05:12:09.945 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 05:12:10.075 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 05:12:10.868 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.11s/it]
+2026-04-25 05:14:04.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.04s (1.88min)
+2026-04-25 05:14:04.998 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 69: training:  50%|█████     | 1/2 [03:24<03:24, 204.82s/it]              2026-04-25 05:20:59.617 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 70, train_steps: 2800
+Global Step 69: training: 100%|██████████| 2/2 [06:54<00:00, 207.30s/it]10, 10.16s/it]
+2026-04-25 05:21:00.251 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 70	train_steps 2800	{'step': '70/10000', 'learning_rate': '0.00001000', 'loss': '1.059e-08', 'grad_norm': '0.00304556', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.60781860', 'grpo_loop_time': '414.60336304', 'ref_model_time': '113.03644562', 'approx_kl': '2.381e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.059e-08', 'kl_loss': '0.00073773', 'kl_moving': '0.00073773', 'kl_stepwise': '1.269e-09', 'gathered_avg_reward_mean': '-1.29829657', 'gathered_avg_reward_std': '0.68622953', 'gathered_videoalign_local_mq_reward_mean': '-0.75785697', 'gathered_videoalign_local_mq_reward_std': '0.41640675', 'gathered_videoalign_local_overall_reward_mean': '-2.27771473', 'gathered_videoalign_local_overall_reward_std': '0.82531935', 'gathered_videoalign_local_ta_reward_mean': '-0.31887853', 'gathered_videoalign_local_ta_reward_std': '0.66036439', 'gathered_videoalign_local_vq_reward_mean': '-1.20097911', 'gathered_videoalign_local_vq_reward_std': '0.26140338', 'gathered_ori_avg_reward_mean': '-1.29829657', 'gathered_ori_avg_reward_std': '0.68622959'}
+2026-04-25 05:21:34.914 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=70 (missing=0, unexpected=0)
+2026-04-25 05:21:36.644 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 05:21:36.779 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:21:36.826 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-25 05:22:43.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000070/group_0/index_5473_seed_18408_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 05:22:43.906 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:22:43.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 05:23:47.967 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000070/group_0/index_5473_seed_18409_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 05:23:48.565 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 05:23:48.709 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 05:23:49.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-04-25 05:25:42.836 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.24s (1.89min)
+2026-04-25 05:25:43.591 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 70: training:  50%|█████     | 1/2 [03:27<03:27, 207.22s/it]              2026-04-25 05:32:40.089 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 71, train_steps: 2840
+Global Step 70: training: 100%|██████████| 2/2 [06:56<00:00, 208.24s/it]10, 10.17s/it]
+2026-04-25 05:32:40.695 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 71	train_steps 2840	{'step': '71/10000', 'learning_rate': '0.00001000', 'loss': '-5.215e-08', 'grad_norm': '0.00568297', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.86108398', 'grpo_loop_time': '416.47769165', 'ref_model_time': '113.24067688', 'approx_kl': '2.282e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.215e-08', 'kl_loss': '0.00073560', 'kl_moving': '0.00073560', 'kl_stepwise': '9.866e-10', 'gathered_avg_reward_mean': '-0.53690928', 'gathered_avg_reward_std': '0.70585215', 'gathered_videoalign_local_mq_reward_mean': '-0.69294518', 'gathered_videoalign_local_mq_reward_std': '0.65916890', 'gathered_videoalign_local_overall_reward_mean': '-1.43502855', 'gathered_videoalign_local_overall_reward_std': '1.07784581', 'gathered_videoalign_local_ta_reward_mean': '0.36120993', 'gathered_videoalign_local_ta_reward_std': '0.58399934', 'gathered_videoalign_local_vq_reward_mean': '-1.10329330', 'gathered_videoalign_local_vq_reward_std': '0.38241178', 'gathered_ori_avg_reward_mean': '-0.53690922', 'gathered_ori_avg_reward_std': '0.70585209'}
+2026-04-25 05:32:40.745 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 05:32:40.835 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:32:40.864 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 05:33:45.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000071/group_0/index_5902_seed_4454_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 05:33:46.368 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:33:46.371 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-25 05:34:51.568 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000071/group_0/index_5902_seed_4455_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 05:34:52.169 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 05:34:52.308 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 05:34:53.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.19s/it]
+2026-04-25 05:36:46.381 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.08s (1.88min)
+2026-04-25 05:36:47.142 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 71: training:  50%|█████     | 1/2 [03:26<03:26, 206.82s/it]              2026-04-25 05:43:44.130 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 72, train_steps: 2880
+Global Step 71: training: 100%|██████████| 2/2 [06:56<00:00, 208.48s/it]10, 10.20s/it]
+2026-04-25 05:43:44.765 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 72	train_steps 2880	{'step': '72/10000', 'learning_rate': '0.00001000', 'loss': '7.509e-08', 'grad_norm': '0.00387134', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.31259155', 'grpo_loop_time': '416.96441650', 'ref_model_time': '113.07689667', 'approx_kl': '2.522e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.509e-08', 'kl_loss': '0.00071329', 'kl_moving': '0.00071329', 'kl_stepwise': '1.083e-09', 'gathered_avg_reward_mean': '-0.65995091', 'gathered_avg_reward_std': '0.56585979', 'gathered_videoalign_local_mq_reward_mean': '-0.81936276', 'gathered_videoalign_local_mq_reward_std': '0.42564377', 'gathered_videoalign_local_overall_reward_mean': '-1.62845135', 'gathered_videoalign_local_overall_reward_std': '0.66171163', 'gathered_videoalign_local_ta_reward_mean': '0.30854961', 'gathered_videoalign_local_ta_reward_std': '0.61974686', 'gathered_videoalign_local_vq_reward_mean': '-1.11763823', 'gathered_videoalign_local_vq_reward_std': '0.23885831', 'gathered_ori_avg_reward_mean': '-0.65995085', 'gathered_ori_avg_reward_std': '0.56585979'}
+2026-04-25 05:43:44.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 05:43:44.915 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:43:44.930 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 05:44:49.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000072/group_0/index_9363_seed_11532_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 05:44:50.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:44:50.475 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 05:45:54.625 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000072/group_0/index_9363_seed_11533_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 05:45:55.244 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 05:45:55.382 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 05:45:56.280 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-25 05:47:51.353 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.85s (1.91min)
+2026-04-25 05:47:52.115 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 72: training:  50%|█████     | 1/2 [03:28<03:28, 208.81s/it]              2026-04-25 05:54:50.140 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 73, train_steps: 2920
+Global Step 72: training: 100%|██████████| 2/2 [06:58<00:00, 209.02s/it]10, 10.16s/it]
+2026-04-25 05:54:50.820 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 73	train_steps 2920	{'step': '73/10000', 'learning_rate': '0.00001000', 'loss': '2.147e-07', 'grad_norm': '0.00325056', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.19979858', 'grpo_loop_time': '418.04757690', 'ref_model_time': '114.85131836', 'approx_kl': '2.517e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.147e-07', 'kl_loss': '0.00069228', 'kl_moving': '0.00069228', 'kl_stepwise': '1.234e-09', 'gathered_avg_reward_mean': '-1.08885002', 'gathered_avg_reward_std': '1.15540373', 'gathered_videoalign_local_mq_reward_mean': '-0.68613768', 'gathered_videoalign_local_mq_reward_std': '0.59705353', 'gathered_videoalign_local_overall_reward_mean': '-2.00077057', 'gathered_videoalign_local_overall_reward_std': '1.52808809', 'gathered_videoalign_local_ta_reward_mean': '-0.17692947', 'gathered_videoalign_local_ta_reward_std': '0.88272744', 'gathered_videoalign_local_vq_reward_mean': '-1.13770330', 'gathered_videoalign_local_vq_reward_std': '0.39532259', 'gathered_ori_avg_reward_mean': '-1.08885002', 'gathered_ori_avg_reward_std': '1.15540373'}
+2026-04-25 05:54:50.861 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 05:54:50.954 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:54:50.984 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 05:55:55.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000073/group_0/index_4474_seed_30408_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 05:55:56.404 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 05:55:56.407 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 05:57:00.570 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000073/group_0/index_4474_seed_30409_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 05:57:01.192 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 05:57:01.331 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 05:57:02.475 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-25 05:58:55.788 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.22s (1.89min)
+2026-04-25 05:58:56.533 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 73: training:  50%|█████     | 1/2 [03:25<03:25, 205.33s/it]              2026-04-25 06:05:50.885 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 74, train_steps: 2960
+Global Step 73: training: 100%|██████████| 2/2 [06:54<00:00, 207.18s/it]10, 10.15s/it]
+2026-04-25 06:05:51.541 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 74	train_steps 2960	{'step': '74/10000', 'learning_rate': '0.00001000', 'loss': '7.451e-08', 'grad_norm': '0.00576939', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.58772278', 'grpo_loop_time': '414.36819458', 'ref_model_time': '113.22215271', 'approx_kl': '2.314e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.451e-08', 'kl_loss': '0.00065340', 'kl_moving': '0.00065340', 'kl_stepwise': '1.083e-09', 'gathered_avg_reward_mean': '-1.01312804', 'gathered_avg_reward_std': '0.96264976', 'gathered_videoalign_local_mq_reward_mean': '-0.70239627', 'gathered_videoalign_local_mq_reward_std': '0.43517759', 'gathered_videoalign_local_overall_reward_mean': '-1.94053841', 'gathered_videoalign_local_overall_reward_std': '1.22774422', 'gathered_videoalign_local_ta_reward_mean': '-0.08571751', 'gathered_videoalign_local_ta_reward_std': '0.78846902', 'gathered_videoalign_local_vq_reward_mean': '-1.15242457', 'gathered_videoalign_local_vq_reward_std': '0.38164186', 'gathered_ori_avg_reward_mean': '-1.01312804', 'gathered_ori_avg_reward_std': '0.96264976'}
+2026-04-25 06:05:51.584 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 06:05:51.677 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:05:51.710 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 06:06:56.520 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000074/group_0/index_2055_seed_18410_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 06:06:57.668 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:06:57.671 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 06:08:01.909 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000074/group_0/index_2055_seed_18411_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 06:08:02.523 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 06:08:02.669 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 06:08:03.770 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-04-25 06:09:56.474 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.50s (1.87min)
+2026-04-25 06:09:57.235 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 74: training:  50%|█████     | 1/2 [03:25<03:25, 205.62s/it]              2026-04-25 06:16:51.632 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 75, train_steps: 3000
+Global Step 74: training: 100%|██████████| 2/2 [06:54<00:00, 207.20s/it]10, 10.14s/it]
+2026-04-25 06:16:52.183 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 75	train_steps 3000	{'step': '75/10000', 'learning_rate': '0.00001000', 'loss': '5.867e-08', 'grad_norm': '0.00505458', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.56602478', 'grpo_loop_time': '414.39648438', 'ref_model_time': '112.49901581', 'approx_kl': '2.204e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.867e-08', 'kl_loss': '0.00066501', 'kl_moving': '0.00066501', 'kl_stepwise': '7.043e-10', 'gathered_avg_reward_mean': '-0.83294898', 'gathered_avg_reward_std': '0.70554876', 'gathered_videoalign_local_mq_reward_mean': '-0.60104454', 'gathered_videoalign_local_mq_reward_std': '0.45580912', 'gathered_videoalign_local_overall_reward_mean': '-1.67525864', 'gathered_videoalign_local_overall_reward_std': '0.86695069', 'gathered_videoalign_local_ta_reward_mean': '0.00936066', 'gathered_videoalign_local_ta_reward_std': '0.68130147', 'gathered_videoalign_local_vq_reward_mean': '-1.08357477', 'gathered_videoalign_local_vq_reward_std': '0.33247855', 'gathered_ori_avg_reward_mean': '-0.83294904', 'gathered_ori_avg_reward_std': '0.70554876'}
+2026-04-25 06:16:52.284 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 06:16:52.374 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:16:52.387 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 06:17:57.736 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000075/group_0/index_2964_seed_16199_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 06:17:58.312 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:17:58.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 06:19:02.660 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000075/group_0/index_2964_seed_16200_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 06:19:03.393 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 06:19:03.533 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 06:19:04.439 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-04-25 06:20:57.258 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.61s (1.88min)
+2026-04-25 06:20:58.015 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 75: training:  50%|█████     | 1/2 [03:27<03:27, 207.95s/it]              2026-04-25 06:27:55.884 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 76, train_steps: 3040
+Global Step 75: training: 100%|██████████| 2/2 [06:57<00:00, 208.93s/it]10, 10.17s/it]
+2026-04-25 06:27:56.446 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 76	train_steps 3040	{'step': '76/10000', 'learning_rate': '0.00001000', 'loss': '6.612e-08', 'grad_norm': '0.00390731', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.64685059', 'grpo_loop_time': '417.86111450', 'ref_model_time': '112.60706329', 'approx_kl': '2.489e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.612e-08', 'kl_loss': '0.00074070', 'kl_moving': '0.00074070', 'kl_stepwise': '-1.557e-10', 'gathered_avg_reward_mean': '-1.01978981', 'gathered_avg_reward_std': '0.80683994', 'gathered_videoalign_local_mq_reward_mean': '-0.86713517', 'gathered_videoalign_local_mq_reward_std': '0.26186866', 'gathered_videoalign_local_overall_reward_mean': '-2.07242250', 'gathered_videoalign_local_overall_reward_std': '0.94157594', 'gathered_videoalign_local_ta_reward_mean': '0.03284319', 'gathered_videoalign_local_ta_reward_std': '0.71868330', 'gathered_videoalign_local_vq_reward_mean': '-1.23813057', 'gathered_videoalign_local_vq_reward_std': '0.24988231', 'gathered_ori_avg_reward_mean': '-1.01978970', 'gathered_ori_avg_reward_std': '0.80683994'}
+2026-04-25 06:27:56.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 06:27:56.638 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:27:56.654 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 06:29:01.735 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000076/group_0/index_6685_seed_4210_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 06:29:02.365 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:29:02.368 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-04-25 06:30:07.318 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000076/group_0/index_6685_seed_4211_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 06:30:07.922 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 06:30:08.058 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 06:30:08.945 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.98s/it]
+2026-04-25 06:32:02.196 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.24s (1.89min)
+2026-04-25 06:32:02.960 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 76: training:  50%|█████     | 1/2 [03:26<03:26, 206.11s/it]              2026-04-25 06:38:58.698 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 77, train_steps: 3080
+Global Step 76: training: 100%|██████████| 2/2 [06:55<00:00, 207.86s/it]10, 10.18s/it]
+2026-04-25 06:38:59.355 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 77	train_steps 3080	{'step': '77/10000', 'learning_rate': '0.00001000', 'loss': '2.491e-08', 'grad_norm': '0.00360804', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.32240295', 'grpo_loop_time': '415.72558594', 'ref_model_time': '113.24191284', 'approx_kl': '2.583e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.491e-08', 'kl_loss': '0.00068978', 'kl_moving': '0.00068978', 'kl_stepwise': '1.205e-09', 'gathered_avg_reward_mean': '-0.71617633', 'gathered_avg_reward_std': '0.69677818', 'gathered_videoalign_local_mq_reward_mean': '-0.56137419', 'gathered_videoalign_local_mq_reward_std': '0.47990203', 'gathered_videoalign_local_overall_reward_mean': '-1.53849983', 'gathered_videoalign_local_overall_reward_std': '0.84802592', 'gathered_videoalign_local_ta_reward_mean': '0.10614715', 'gathered_videoalign_local_ta_reward_std': '0.70383281', 'gathered_videoalign_local_vq_reward_mean': '-1.08327270', 'gathered_videoalign_local_vq_reward_std': '0.28797007', 'gathered_ori_avg_reward_mean': '-0.71617633', 'gathered_ori_avg_reward_std': '0.69677818'}
+2026-04-25 06:38:59.400 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 06:38:59.493 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:38:59.554 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 06:40:04.576 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000077/group_0/index_8076_seed_31063_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 06:40:05.205 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:40:05.206 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 06:41:09.013 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000077/group_0/index_8076_seed_31064_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 06:41:09.640 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 06:41:09.689 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 06:41:10.684 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.11s/it]
+2026-04-25 06:43:03.391 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.69s (1.88min)
+2026-04-25 06:43:04.373 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 77: training:  50%|█████     | 1/2 [03:25<03:25, 205.09s/it]              2026-04-25 06:49:59.592 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 78, train_steps: 3120
+Global Step 77: training: 100%|██████████| 2/2 [06:55<00:00, 207.61s/it]10, 10.16s/it]
+2026-04-25 06:50:00.166 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 78	train_steps 3120	{'step': '78/10000', 'learning_rate': '0.00001000', 'loss': '-5.774e-08', 'grad_norm': '0.00401322', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '244.67097473', 'grpo_loop_time': '415.21862793', 'ref_model_time': '112.69306946', 'approx_kl': '2.488e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.774e-08', 'kl_loss': '0.00075753', 'kl_moving': '0.00075753', 'kl_stepwise': '5.981e-10', 'gathered_avg_reward_mean': '-1.10118902', 'gathered_avg_reward_std': '0.80769062', 'gathered_videoalign_local_mq_reward_mean': '-0.79298776', 'gathered_videoalign_local_mq_reward_std': '0.33354020', 'gathered_videoalign_local_overall_reward_mean': '-2.07587600', 'gathered_videoalign_local_overall_reward_std': '0.93125147', 'gathered_videoalign_local_ta_reward_mean': '-0.12650214', 'gathered_videoalign_local_ta_reward_std': '0.74023485', 'gathered_videoalign_local_vq_reward_mean': '-1.15638602', 'gathered_videoalign_local_vq_reward_std': '0.24243414', 'gathered_ori_avg_reward_mean': '-1.10118914', 'gathered_ori_avg_reward_std': '0.80769068'}
+2026-04-25 06:50:00.265 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 06:50:00.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:50:00.369 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 06:51:05.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000078/group_0/index_2217_seed_24417_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 06:51:06.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 06:51:06.188 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 06:52:10.360 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000078/group_0/index_2217_seed_24418_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 06:52:11.014 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 06:52:11.153 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 06:52:12.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.24s/it]
+2026-04-25 06:54:05.108 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.06s (1.88min)
+2026-04-25 06:54:05.873 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 78: training:  50%|█████     | 1/2 [03:25<03:25, 205.38s/it]              2026-04-25 07:01:01.112 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 79, train_steps: 3160
+Global Step 78: training: 100%|██████████| 2/2 [06:55<00:00, 207.59s/it]10, 10.15s/it]
+2026-04-25 07:01:01.617 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 79	train_steps 3160	{'step': '79/10000', 'learning_rate': '0.00001000', 'loss': '-5.681e-08', 'grad_norm': '0.02560880', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.52279663', 'grpo_loop_time': '415.17550659', 'ref_model_time': '113.05867767', 'approx_kl': '2.478e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.681e-08', 'kl_loss': '0.00077388', 'kl_moving': '0.00077388', 'kl_stepwise': '1.676e-09', 'gathered_avg_reward_mean': '-1.09376872', 'gathered_avg_reward_std': '0.72819692', 'gathered_videoalign_local_mq_reward_mean': '-0.75242418', 'gathered_videoalign_local_mq_reward_std': '0.45520192', 'gathered_videoalign_local_overall_reward_mean': '-2.04489470', 'gathered_videoalign_local_overall_reward_std': '0.89599949', 'gathered_videoalign_local_ta_reward_mean': '-0.14264260', 'gathered_videoalign_local_ta_reward_std': '0.69146889', 'gathered_videoalign_local_vq_reward_mean': '-1.14982796', 'gathered_videoalign_local_vq_reward_std': '0.31588575', 'gathered_ori_avg_reward_mean': '-1.09376860', 'gathered_ori_avg_reward_std': '0.72819692'}
+2026-04-25 07:01:01.705 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 07:01:01.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:01:01.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 07:02:07.135 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000079/group_0/index_2237_seed_22609_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 07:02:08.310 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:02:08.314 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 07:03:12.923 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000079/group_0/index_2237_seed_22610_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 07:03:13.538 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 07:03:13.686 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 07:03:14.489 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.07s/it]
+2026-04-25 07:05:07.942 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.35s (1.89min)
+2026-04-25 07:05:08.697 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 79: training:  50%|█████     | 1/2 [03:25<03:25, 205.15s/it]              2026-04-25 07:12:02.972 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 80, train_steps: 3200
+Global Step 79: training: 100%|██████████| 2/2 [06:54<00:00, 207.12s/it]10, 10.15s/it]
+2026-04-25 07:12:03.536 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 80	train_steps 3200	{'step': '80/10000', 'learning_rate': '0.00001000', 'loss': '-1.118e-08', 'grad_norm': '0.00458847', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.90969849', 'grpo_loop_time': '414.24407959', 'ref_model_time': '113.35505676', 'approx_kl': '2.538e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.118e-08', 'kl_loss': '0.00076607', 'kl_moving': '0.00076607', 'kl_stepwise': '1.526e-09', 'gathered_avg_reward_mean': '-1.15411568', 'gathered_avg_reward_std': '0.70310146', 'gathered_videoalign_local_mq_reward_mean': '-0.76151323', 'gathered_videoalign_local_mq_reward_std': '0.37283880', 'gathered_videoalign_local_overall_reward_mean': '-2.09424210', 'gathered_videoalign_local_overall_reward_std': '0.89494926', 'gathered_videoalign_local_ta_reward_mean': '-0.21398918', 'gathered_videoalign_local_ta_reward_std': '0.62328225', 'gathered_videoalign_local_vq_reward_mean': '-1.11873984', 'gathered_videoalign_local_vq_reward_std': '0.32009259', 'gathered_ori_avg_reward_mean': '-1.15411568', 'gathered_ori_avg_reward_std': '0.70310146'}
+2026-04-25 07:12:38.666 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=80 (missing=0, unexpected=0)
+2026-04-25 07:12:40.350 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 07:12:40.541 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:12:40.613 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-25 07:13:46.745 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000080/group_0/index_357_seed_1772_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 07:13:47.300 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:13:47.304 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-25 07:14:52.137 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000080/group_0/index_357_seed_1773_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 07:14:52.820 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 07:14:52.958 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 07:14:54.051 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-04-25 07:16:47.581 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.32s (1.89min)
+2026-04-25 07:16:48.337 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 80: training:  50%|█████     | 1/2 [03:25<03:25, 205.83s/it]              2026-04-25 07:23:43.367 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 81, train_steps: 3240
+Global Step 80: training: 100%|██████████| 2/2 [06:55<00:00, 207.51s/it]10, 10.15s/it]
+2026-04-25 07:23:44.049 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 81	train_steps 3240	{'step': '81/10000', 'learning_rate': '0.00001000', 'loss': '2.314e-07', 'grad_norm': '0.00390367', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.90000916', 'grpo_loop_time': '415.02682495', 'ref_model_time': '113.31906128', 'approx_kl': '2.654e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.314e-07', 'kl_loss': '0.00073595', 'kl_moving': '0.00073595', 'kl_stepwise': '1.410e-09', 'gathered_avg_reward_mean': '-1.21458972', 'gathered_avg_reward_std': '0.75632262', 'gathered_videoalign_local_mq_reward_mean': '-0.87317491', 'gathered_videoalign_local_mq_reward_std': '0.33903703', 'gathered_videoalign_local_overall_reward_mean': '-2.28005123', 'gathered_videoalign_local_overall_reward_std': '0.87951756', 'gathered_videoalign_local_ta_reward_mean': '-0.14912826', 'gathered_videoalign_local_ta_reward_std': '0.69174910', 'gathered_videoalign_local_vq_reward_mean': '-1.25774813', 'gathered_videoalign_local_vq_reward_std': '0.19815464', 'gathered_ori_avg_reward_mean': '-1.21458972', 'gathered_ori_avg_reward_std': '0.75632256'}
+2026-04-25 07:23:44.096 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 07:23:44.191 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:23:44.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.83s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-25 07:24:49.187 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000081/group_0/index_6482_seed_17570_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 07:24:49.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:24:49.810 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 07:25:53.759 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000081/group_0/index_6482_seed_17571_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 07:25:54.390 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 07:25:54.530 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 07:25:55.751 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-25 07:27:49.977 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.21s (1.90min)
+2026-04-25 07:27:50.726 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 81: training:  50%|█████     | 1/2 [03:28<03:28, 208.05s/it]              2026-04-25 07:34:47.809 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 82, train_steps: 3280
+Global Step 81: training: 100%|██████████| 2/2 [06:57<00:00, 208.54s/it]10, 10.14s/it]
+2026-04-25 07:34:48.451 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 82	train_steps 3280	{'step': '82/10000', 'learning_rate': '0.00001000', 'loss': '8.475e-08', 'grad_norm': '0.00446201', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.54812622', 'grpo_loop_time': '417.08712769', 'ref_model_time': '114.21399689', 'approx_kl': '2.626e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.475e-08', 'kl_loss': '0.00069194', 'kl_moving': '0.00069194', 'kl_stepwise': '1.317e-09', 'gathered_avg_reward_mean': '-1.14124203', 'gathered_avg_reward_std': '0.70246977', 'gathered_videoalign_local_mq_reward_mean': '-0.65460688', 'gathered_videoalign_local_mq_reward_std': '0.50877607', 'gathered_videoalign_local_overall_reward_mean': '-2.06250596', 'gathered_videoalign_local_overall_reward_std': '0.93773437', 'gathered_videoalign_local_ta_reward_mean': '-0.21997826', 'gathered_videoalign_local_ta_reward_std': '0.58652592', 'gathered_videoalign_local_vq_reward_mean': '-1.18792081', 'gathered_videoalign_local_vq_reward_std': '0.34869596', 'gathered_ori_avg_reward_mean': '-1.14124215', 'gathered_ori_avg_reward_std': '0.70246977'}
+2026-04-25 07:34:48.495 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 07:34:48.584 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:34:48.614 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 07:35:53.805 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000082/group_0/index_4776_seed_6618_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 07:35:54.405 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:35:54.406 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 07:36:58.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000082/group_0/index_4776_seed_6619_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 07:36:59.145 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 07:36:59.210 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 07:37:00.059 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.98s/it]
+2026-04-25 07:38:55.121 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.80s (1.91min)
+2026-04-25 07:38:55.995 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 82: training:  50%|█████     | 1/2 [03:26<03:26, 206.10s/it]              2026-04-25 07:45:52.255 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 83, train_steps: 3320
+Global Step 82: training: 100%|██████████| 2/2 [06:56<00:00, 208.12s/it]10, 10.14s/it]
+2026-04-25 07:45:52.864 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 83	train_steps 3320	{'step': '83/10000', 'learning_rate': '0.00001000', 'loss': '-2.142e-08', 'grad_norm': '0.00432552', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.29376221', 'grpo_loop_time': '416.23464966', 'ref_model_time': '114.80052185', 'approx_kl': '2.470e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.142e-08', 'kl_loss': '0.00070399', 'kl_moving': '0.00070399', 'kl_stepwise': '1.397e-09', 'gathered_avg_reward_mean': '-1.12191355', 'gathered_avg_reward_std': '0.74130923', 'gathered_videoalign_local_mq_reward_mean': '-0.78839469', 'gathered_videoalign_local_mq_reward_std': '0.38232091', 'gathered_videoalign_local_overall_reward_mean': '-2.07779169', 'gathered_videoalign_local_overall_reward_std': '0.95538163', 'gathered_videoalign_local_ta_reward_mean': '-0.16603555', 'gathered_videoalign_local_ta_reward_std': '0.60173613', 'gathered_videoalign_local_vq_reward_mean': '-1.12336135', 'gathered_videoalign_local_vq_reward_std': '0.28236812', 'gathered_ori_avg_reward_mean': '-1.12191355', 'gathered_ori_avg_reward_std': '0.74130923'}
+2026-04-25 07:45:52.937 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 07:45:53.024 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:45:53.037 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 07:46:58.090 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000083/group_0/index_306_seed_30904_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 07:46:58.701 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:46:58.705 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 07:48:03.342 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000083/group_0/index_306_seed_30905_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 07:48:04.084 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 07:48:04.233 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 07:48:05.101 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.26s/it]
+2026-04-25 07:49:58.382 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.13s (1.89min)
+2026-04-25 07:49:59.127 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 83: training:  50%|█████     | 1/2 [03:28<03:28, 208.55s/it]              2026-04-25 07:56:57.597 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 84, train_steps: 3360
+Global Step 83: training: 100%|██████████| 2/2 [06:58<00:00, 209.23s/it]10, 10.16s/it]
+2026-04-25 07:56:58.254 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 84	train_steps 3360	{'step': '84/10000', 'learning_rate': '0.00001000', 'loss': '-1.360e-07', 'grad_norm': '0.00455286', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.10690308', 'grpo_loop_time': '418.46319580', 'ref_model_time': '113.12636566', 'approx_kl': '2.377e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.360e-07', 'kl_loss': '0.00068355', 'kl_moving': '0.00068355', 'kl_stepwise': '1.592e-09', 'gathered_avg_reward_mean': '-0.78885204', 'gathered_avg_reward_std': '0.81526077', 'gathered_videoalign_local_mq_reward_mean': '-0.74296772', 'gathered_videoalign_local_mq_reward_std': '0.31948909', 'gathered_videoalign_local_overall_reward_mean': '-1.65177822', 'gathered_videoalign_local_overall_reward_std': '0.98945183', 'gathered_videoalign_local_ta_reward_mean': '0.07407429', 'gathered_videoalign_local_ta_reward_std': '0.72484803', 'gathered_videoalign_local_vq_reward_mean': '-0.98288482', 'gathered_videoalign_local_vq_reward_std': '0.35071853', 'gathered_ori_avg_reward_mean': '-0.78885198', 'gathered_ori_avg_reward_std': '0.81526071'}
+2026-04-25 07:56:58.300 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 07:56:58.390 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:56:58.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 07:58:03.123 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000084/group_0/index_7318_seed_27899_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 07:58:04.277 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 07:58:04.280 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 07:59:08.973 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000084/group_0/index_7318_seed_27900_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 07:59:09.614 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 07:59:09.712 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 07:59:10.653 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-25 08:01:04.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.45s (1.89min)
+2026-04-25 08:01:05.082 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 84: training:  50%|█████     | 1/2 [03:25<03:25, 205.08s/it]              2026-04-25 08:08:00.271 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 85, train_steps: 3400
+Global Step 84: training: 100%|██████████| 2/2 [06:55<00:00, 207.58s/it]10, 10.16s/it]
+2026-04-25 08:08:00.896 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 85	train_steps 3400	{'step': '85/10000', 'learning_rate': '0.00001000', 'loss': '5.588e-08', 'grad_norm': '0.00314698', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.56501770', 'grpo_loop_time': '415.16766357', 'ref_model_time': '113.45043945', 'approx_kl': '2.389e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.588e-08', 'kl_loss': '0.00071997', 'kl_moving': '0.00071997', 'kl_stepwise': '1.799e-09', 'gathered_avg_reward_mean': '-0.74791116', 'gathered_avg_reward_std': '0.65887582', 'gathered_videoalign_local_mq_reward_mean': '-0.91285062', 'gathered_videoalign_local_mq_reward_std': '0.26844093', 'gathered_videoalign_local_overall_reward_mean': '-1.82211828', 'gathered_videoalign_local_overall_reward_std': '0.74694675', 'gathered_videoalign_local_ta_reward_mean': '0.32629591', 'gathered_videoalign_local_ta_reward_std': '0.61858386', 'gathered_videoalign_local_vq_reward_mean': '-1.23556364', 'gathered_videoalign_local_vq_reward_std': '0.18812679', 'gathered_ori_avg_reward_mean': '-0.74791121', 'gathered_ori_avg_reward_std': '0.65887588'}
+2026-04-25 08:08:00.943 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 08:08:01.039 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:08:01.064 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 08:09:05.939 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000085/group_0/index_7637_seed_15724_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 08:09:06.532 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:09:06.535 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 08:10:10.680 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000085/group_0/index_7637_seed_15725_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 08:10:11.351 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 08:10:11.449 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 08:10:12.384 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.02s/it]
+2026-04-25 08:12:05.564 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-04-25 08:12:06.327 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 85: training:  50%|█████     | 1/2 [03:25<03:25, 205.73s/it]              2026-04-25 08:19:02.171 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 86, train_steps: 3440
+Global Step 85: training: 100%|██████████| 2/2 [06:55<00:00, 207.92s/it]10, 10.15s/it]
+2026-04-25 08:19:02.790 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 86	train_steps 3440	{'step': '86/10000', 'learning_rate': '0.00001000', 'loss': '3.753e-07', 'grad_norm': '0.00347586', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.30151367', 'grpo_loop_time': '415.84768677', 'ref_model_time': '113.14457703', 'approx_kl': '2.434e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.753e-07', 'kl_loss': '0.00076224', 'kl_moving': '0.00076224', 'kl_stepwise': '1.432e-09', 'gathered_avg_reward_mean': '-0.74404228', 'gathered_avg_reward_std': '0.87205845', 'gathered_videoalign_local_mq_reward_mean': '-0.66259450', 'gathered_videoalign_local_mq_reward_std': '0.43132064', 'gathered_videoalign_local_overall_reward_mean': '-1.65576100', 'gathered_videoalign_local_overall_reward_std': '1.07483983', 'gathered_videoalign_local_ta_reward_mean': '0.16767645', 'gathered_videoalign_local_ta_reward_std': '0.73881662', 'gathered_videoalign_local_vq_reward_mean': '-1.16084301', 'gathered_videoalign_local_vq_reward_std': '0.25748086', 'gathered_ori_avg_reward_mean': '-0.74404228', 'gathered_ori_avg_reward_std': '0.87205839'}
+2026-04-25 08:19:02.853 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 08:19:02.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:19:02.969 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 08:20:08.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000086/group_0/index_7339_seed_10900_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 08:20:08.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:20:08.601 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 08:21:13.057 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000086/group_0/index_7339_seed_10901_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 08:21:13.825 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 08:21:13.936 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 08:21:14.848 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.92s/it]
+2026-04-25 08:23:08.095 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.24s (1.89min)
+2026-04-25 08:23:08.854 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 86: training:  50%|█████     | 1/2 [03:25<03:25, 205.79s/it]              2026-04-25 08:30:05.186 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 87, train_steps: 3480
+Global Step 86: training: 100%|██████████| 2/2 [06:56<00:00, 208.15s/it]10, 10.18s/it]
+2026-04-25 08:30:05.862 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 87	train_steps 3480	{'step': '87/10000', 'learning_rate': '0.00001000', 'loss': '1.357e-07', 'grad_norm': '0.00457583', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.92002869', 'grpo_loop_time': '416.30618286', 'ref_model_time': '113.23564148', 'approx_kl': '2.229e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.357e-07', 'kl_loss': '0.00086104', 'kl_moving': '0.00086104', 'kl_stepwise': '1.547e-09', 'gathered_avg_reward_mean': '-1.34633243', 'gathered_avg_reward_std': '0.74073577', 'gathered_videoalign_local_mq_reward_mean': '-0.83825570', 'gathered_videoalign_local_mq_reward_std': '0.31643125', 'gathered_videoalign_local_overall_reward_mean': '-2.40250492', 'gathered_videoalign_local_overall_reward_std': '0.82702595', 'gathered_videoalign_local_ta_reward_mean': '-0.29016012', 'gathered_videoalign_local_ta_reward_std': '0.71784669', 'gathered_videoalign_local_vq_reward_mean': '-1.27408910', 'gathered_videoalign_local_vq_reward_std': '0.26339510', 'gathered_ori_avg_reward_mean': '-1.34633255', 'gathered_ori_avg_reward_std': '0.74073577'}
+2026-04-25 08:30:05.907 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 08:30:05.997 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:30:06.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 08:31:11.854 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000087/group_0/index_1372_seed_1463_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 08:31:12.446 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:31:12.450 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 08:32:16.705 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000087/group_0/index_1372_seed_1464_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 08:32:17.378 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 08:32:17.528 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 08:32:18.333 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.26s/it]
+2026-04-25 08:34:11.905 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.47s (1.89min)
+2026-04-25 08:34:12.657 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 87: training:  50%|█████     | 1/2 [03:26<03:26, 206.32s/it]              2026-04-25 08:41:08.794 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 88, train_steps: 3520
+Global Step 87: training: 100%|██████████| 2/2 [06:56<00:00, 208.15s/it]10, 10.16s/it]
+2026-04-25 08:41:09.609 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 88	train_steps 3520	{'step': '88/10000', 'learning_rate': '0.00001000', 'loss': '2.468e-08', 'grad_norm': '0.00510307', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.66712952', 'grpo_loop_time': '416.30908203', 'ref_model_time': '113.47431946', 'approx_kl': '2.680e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.468e-08', 'kl_loss': '0.00081187', 'kl_moving': '0.00081187', 'kl_stepwise': '1.477e-09', 'gathered_avg_reward_mean': '-1.02923238', 'gathered_avg_reward_std': '0.70557886', 'gathered_videoalign_local_mq_reward_mean': '-1.00821996', 'gathered_videoalign_local_mq_reward_std': '0.23230536', 'gathered_videoalign_local_overall_reward_mean': '-2.15347075', 'gathered_videoalign_local_overall_reward_std': '0.86351192', 'gathered_videoalign_local_ta_reward_mean': '0.09500571', 'gathered_videoalign_local_ta_reward_std': '0.60362715', 'gathered_videoalign_local_vq_reward_mean': '-1.24025643', 'gathered_videoalign_local_vq_reward_std': '0.26510262', 'gathered_ori_avg_reward_mean': '-1.02923250', 'gathered_ori_avg_reward_std': '0.70557886'}
+2026-04-25 08:41:09.659 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 08:41:09.755 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:41:09.776 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 08:42:15.053 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000088/group_0/index_8870_seed_20304_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 08:42:15.627 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:42:15.630 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 08:43:19.778 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000088/group_0/index_8870_seed_20305_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 08:43:20.387 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 08:43:20.510 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 08:43:21.626 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.04s/it]
+2026-04-25 08:45:14.736 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.01s (1.88min)
+2026-04-25 08:45:15.502 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 88: training:  50%|█████     | 1/2 [03:25<03:25, 205.19s/it]              2026-04-25 08:52:11.037 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 89, train_steps: 3560
+Global Step 88: training: 100%|██████████| 2/2 [06:55<00:00, 207.81s/it]10, 10.17s/it]
+2026-04-25 08:52:11.765 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 89	train_steps 3560	{'step': '89/10000', 'learning_rate': '0.00001000', 'loss': '1.285e-07', 'grad_norm': '0.00345578', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.76144409', 'grpo_loop_time': '415.62081909', 'ref_model_time': '113.00701904', 'approx_kl': '2.565e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.285e-07', 'kl_loss': '0.00079620', 'kl_moving': '0.00079620', 'kl_stepwise': '1.928e-09', 'gathered_avg_reward_mean': '-1.27544260', 'gathered_avg_reward_std': '0.68863523', 'gathered_videoalign_local_mq_reward_mean': '-0.84823060', 'gathered_videoalign_local_mq_reward_std': '0.24881707', 'gathered_videoalign_local_overall_reward_mean': '-2.31560469', 'gathered_videoalign_local_overall_reward_std': '0.83205062', 'gathered_videoalign_local_ta_reward_mean': '-0.23528048', 'gathered_videoalign_local_ta_reward_std': '0.59562743', 'gathered_videoalign_local_vq_reward_mean': '-1.23209357', 'gathered_videoalign_local_vq_reward_std': '0.28699157', 'gathered_ori_avg_reward_mean': '-1.27544260', 'gathered_ori_avg_reward_std': '0.68863517'}
+2026-04-25 08:52:11.864 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 08:52:11.960 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:52:12.091 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 08:53:17.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000089/group_0/index_3239_seed_18003_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 08:53:18.501 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 08:53:18.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 08:54:22.544 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000089/group_0/index_3239_seed_18004_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 08:54:23.298 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 08:54:23.349 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 08:54:24.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 48.00s/it]
+2026-04-25 08:56:17.954 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.60s (1.89min)
+2026-04-25 08:56:18.796 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 89: training:  50%|█████     | 1/2 [03:28<03:28, 208.11s/it]              2026-04-25 09:03:17.030 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 90, train_steps: 3600
+Global Step 89: training: 100%|██████████| 2/2 [06:58<00:00, 209.11s/it]10, 10.17s/it]
+2026-04-25 09:03:17.657 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 90	train_steps 3600	{'step': '90/10000', 'learning_rate': '0.00001000', 'loss': '4.284e-08', 'grad_norm': '0.00387312', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.84936523', 'grpo_loop_time': '418.22290039', 'ref_model_time': '113.59628296', 'approx_kl': '2.498e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.284e-08', 'kl_loss': '0.00070939', 'kl_moving': '0.00070939', 'kl_stepwise': '4.438e-10', 'gathered_avg_reward_mean': '-0.65183890', 'gathered_avg_reward_std': '0.97879648', 'gathered_videoalign_local_mq_reward_mean': '-0.49672660', 'gathered_videoalign_local_mq_reward_std': '0.83725655', 'gathered_videoalign_local_overall_reward_mean': '-1.39568746', 'gathered_videoalign_local_overall_reward_std': '1.57003677', 'gathered_videoalign_local_ta_reward_mean': '0.09200964', 'gathered_videoalign_local_ta_reward_std': '0.57052815', 'gathered_videoalign_local_vq_reward_mean': '-0.99097049', 'gathered_videoalign_local_vq_reward_std': '0.51254803', 'gathered_ori_avg_reward_mean': '-0.65183890', 'gathered_ori_avg_reward_std': '0.97879648'}
+2026-04-25 09:03:52.407 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=90 (missing=0, unexpected=0)
+2026-04-25 09:03:54.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 09:03:54.503 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:03:54.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-04-25 09:05:01.126 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000090/group_0/index_9416_seed_10361_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 09:05:01.737 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:05:01.742 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 09:06:06.493 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000090/group_0/index_9416_seed_10362_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 09:06:07.199 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 09:06:07.250 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 09:06:08.150 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.24s/it]
+2026-04-25 09:08:01.603 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.36s (1.89min)
+2026-04-25 09:08:02.540 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 90: training:  50%|█████     | 1/2 [03:27<03:27, 207.16s/it]              2026-04-25 09:15:00.003 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 91, train_steps: 3640
+Global Step 90: training: 100%|██████████| 2/2 [06:57<00:00, 208.72s/it]10, 10.18s/it]
+2026-04-25 09:15:00.657 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 91	train_steps 3640	{'step': '91/10000', 'learning_rate': '0.00001000', 'loss': '-2.421e-08', 'grad_norm': '0.00322122', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.86877441', 'grpo_loop_time': '417.43582153', 'ref_model_time': '113.36099243', 'approx_kl': '2.331e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.421e-08', 'kl_loss': '0.00067062', 'kl_moving': '0.00067062', 'kl_stepwise': '1.874e-09', 'gathered_avg_reward_mean': '-0.86489314', 'gathered_avg_reward_std': '0.69611895', 'gathered_videoalign_local_mq_reward_mean': '-0.87202030', 'gathered_videoalign_local_mq_reward_std': '0.22137219', 'gathered_videoalign_local_overall_reward_mean': '-1.89902079', 'gathered_videoalign_local_overall_reward_std': '0.83743531', 'gathered_videoalign_local_ta_reward_mean': '0.16923445', 'gathered_videoalign_local_ta_reward_std': '0.60150301', 'gathered_videoalign_local_vq_reward_mean': '-1.19623494', 'gathered_videoalign_local_vq_reward_std': '0.27247453', 'gathered_ori_avg_reward_mean': '-0.86489314', 'gathered_ori_avg_reward_std': '0.69611895'}
+2026-04-25 09:15:00.699 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 09:15:00.792 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:15:00.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 09:16:05.817 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000091/group_0/index_827_seed_17315_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 09:16:06.418 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:16:06.419 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 09:17:10.899 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000091/group_0/index_827_seed_17316_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 09:17:11.465 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 09:17:11.602 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 09:17:12.495 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.03s/it]
+2026-04-25 09:19:05.985 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.48s (1.89min)
+2026-04-25 09:19:06.733 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 91: training:  50%|█████     | 1/2 [03:26<03:26, 206.29s/it]              2026-04-25 09:26:03.316 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 92, train_steps: 3680
+Global Step 91: training: 100%|██████████| 2/2 [06:56<00:00, 208.28s/it]10, 10.16s/it]
+2026-04-25 09:26:03.844 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 92	train_steps 3680	{'step': '92/10000', 'learning_rate': '0.00001000', 'loss': '-1.285e-07', 'grad_norm': '0.00497098', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.95201111', 'grpo_loop_time': '416.56011963', 'ref_model_time': '113.48471832', 'approx_kl': '2.699e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.285e-07', 'kl_loss': '0.00074217', 'kl_moving': '0.00074217', 'kl_stepwise': '1.154e-09', 'gathered_avg_reward_mean': '-1.29430652', 'gathered_avg_reward_std': '0.75476688', 'gathered_videoalign_local_mq_reward_mean': '-0.85707957', 'gathered_videoalign_local_mq_reward_std': '0.31587747', 'gathered_videoalign_local_overall_reward_mean': '-2.30690670', 'gathered_videoalign_local_overall_reward_std': '0.79232925', 'gathered_videoalign_local_ta_reward_mean': '-0.28170645', 'gathered_videoalign_local_ta_reward_std': '0.78368241', 'gathered_videoalign_local_vq_reward_mean': '-1.16812062', 'gathered_videoalign_local_vq_reward_std': '0.19984260', 'gathered_ori_avg_reward_mean': '-1.29430664', 'gathered_ori_avg_reward_std': '0.75476688'}
+2026-04-25 09:26:03.987 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 09:26:04.078 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:26:04.104 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 09:27:08.840 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000092/group_0/index_6760_seed_17098_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 09:27:09.458 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:27:09.460 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 09:28:14.088 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000092/group_0/index_6760_seed_17099_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 09:28:14.870 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 09:28:15.012 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 09:28:15.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.26s/it]
+2026-04-25 09:30:10.517 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.62s (1.91min)
+2026-04-25 09:30:11.278 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 92: training:  50%|█████     | 1/2 [03:25<03:25, 205.65s/it]              2026-04-25 09:37:06.876 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 93, train_steps: 3720
+Global Step 92: training: 100%|██████████| 2/2 [06:55<00:00, 207.79s/it]10, 10.16s/it]
+2026-04-25 09:37:07.547 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 93	train_steps 3720	{'step': '93/10000', 'learning_rate': '0.00001000', 'loss': '3.539e-08', 'grad_norm': '0.00335817', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.20863342', 'grpo_loop_time': '415.59082031', 'ref_model_time': '114.61531830', 'approx_kl': '2.320e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.539e-08', 'kl_loss': '0.00071076', 'kl_moving': '0.00071076', 'kl_stepwise': '6.054e-10', 'gathered_avg_reward_mean': '-0.59764576', 'gathered_avg_reward_std': '0.87369800', 'gathered_videoalign_local_mq_reward_mean': '-0.78063393', 'gathered_videoalign_local_mq_reward_std': '0.41216883', 'gathered_videoalign_local_overall_reward_mean': '-1.58184266', 'gathered_videoalign_local_overall_reward_std': '1.03963804', 'gathered_videoalign_local_ta_reward_mean': '0.38655117', 'gathered_videoalign_local_ta_reward_std': '0.78702575', 'gathered_videoalign_local_vq_reward_mean': '-1.18776000', 'gathered_videoalign_local_vq_reward_std': '0.23849329', 'gathered_ori_avg_reward_mean': '-0.59764576', 'gathered_ori_avg_reward_std': '0.87369800'}
+2026-04-25 09:37:07.588 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 09:37:07.684 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:37:07.698 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 09:38:12.694 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000093/group_0/index_4904_seed_17667_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 09:38:13.278 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:38:13.281 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 09:39:17.565 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000093/group_0/index_4904_seed_17668_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 09:39:18.151 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 09:39:18.294 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 09:39:19.059 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.26s/it]
+2026-04-25 09:41:12.868 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.68s (1.89min)
+2026-04-25 09:41:13.624 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 93: training:  50%|█████     | 1/2 [03:25<03:25, 205.44s/it]              2026-04-25 09:48:08.756 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 94, train_steps: 3760
+Global Step 93: training: 100%|██████████| 2/2 [06:55<00:00, 207.58s/it]10, 10.14s/it]
+2026-04-25 09:48:09.442 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 94	train_steps 3760	{'step': '94/10000', 'learning_rate': '0.00001000', 'loss': '1.267e-07', 'grad_norm': '0.00322559', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.95133972', 'grpo_loop_time': '415.15557861', 'ref_model_time': '113.67853546', 'approx_kl': '2.428e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.267e-07', 'kl_loss': '0.00072958', 'kl_moving': '0.00072958', 'kl_stepwise': '6.781e-10', 'gathered_avg_reward_mean': '-0.90853435', 'gathered_avg_reward_std': '0.87498397', 'gathered_videoalign_local_mq_reward_mean': '-0.83691418', 'gathered_videoalign_local_mq_reward_std': '0.23679364', 'gathered_videoalign_local_overall_reward_mean': '-1.93977237', 'gathered_videoalign_local_overall_reward_std': '1.00637019', 'gathered_videoalign_local_ta_reward_mean': '0.12270367', 'gathered_videoalign_local_ta_reward_std': '0.78697991', 'gathered_videoalign_local_vq_reward_mean': '-1.22556186', 'gathered_videoalign_local_vq_reward_std': '0.27647281', 'gathered_ori_avg_reward_mean': '-0.90853429', 'gathered_ori_avg_reward_std': '0.87498397'}
+2026-04-25 09:48:09.489 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 09:48:09.587 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:48:09.634 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 09:49:14.636 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000094/group_0/index_2342_seed_31533_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 09:49:15.790 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:49:15.794 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-25 09:50:19.611 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000094/group_0/index_2342_seed_31534_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 09:50:20.267 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 09:50:20.408 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 09:50:21.543 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.12s/it]
+2026-04-25 09:52:15.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.66s (1.89min)
+2026-04-25 09:52:16.175 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 94: training:  50%|█████     | 1/2 [03:26<03:26, 206.04s/it]              2026-04-25 09:59:12.190 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 95, train_steps: 3800
+Global Step 94: training: 100%|██████████| 2/2 [06:55<00:00, 208.00s/it]10, 10.15s/it]
+2026-04-25 09:59:12.746 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 95	train_steps 3800	{'step': '95/10000', 'learning_rate': '0.00001000', 'loss': '2.468e-08', 'grad_norm': '0.00303567', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.60316467', 'grpo_loop_time': '415.99948120', 'ref_model_time': '113.66468811', 'approx_kl': '2.511e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.468e-08', 'kl_loss': '0.00071283', 'kl_moving': '0.00071283', 'kl_stepwise': '5.675e-10', 'gathered_avg_reward_mean': '-0.95180833', 'gathered_avg_reward_std': '0.92935544', 'gathered_videoalign_local_mq_reward_mean': '-0.83368552', 'gathered_videoalign_local_mq_reward_std': '0.29816976', 'gathered_videoalign_local_overall_reward_mean': '-1.94780266', 'gathered_videoalign_local_overall_reward_std': '1.02238321', 'gathered_videoalign_local_ta_reward_mean': '0.04418586', 'gathered_videoalign_local_ta_reward_std': '0.89405042', 'gathered_videoalign_local_vq_reward_mean': '-1.15830302', 'gathered_videoalign_local_vq_reward_std': '0.31687596', 'gathered_ori_avg_reward_mean': '-0.95180845', 'gathered_ori_avg_reward_std': '0.92935538'}
+2026-04-25 09:59:12.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 09:59:12.946 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 09:59:12.963 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 10:00:18.035 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000095/group_0/index_6549_seed_31222_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 10:00:18.693 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:00:18.697 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 10:01:23.286 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000095/group_0/index_6549_seed_31223_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 10:01:24.095 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 10:01:24.179 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 10:01:25.056 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-04-25 10:03:18.639 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.50s (1.89min)
+2026-04-25 10:03:19.400 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 95: training:  50%|█████     | 1/2 [03:27<03:27, 207.60s/it]              2026-04-25 10:10:16.985 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 96, train_steps: 3840
+Global Step 95: training: 100%|██████████| 2/2 [06:57<00:00, 208.79s/it]10, 10.15s/it]
+2026-04-25 10:10:17.597 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 96	train_steps 3840	{'step': '96/10000', 'learning_rate': '0.00001000', 'loss': '-2.810e-07', 'grad_norm': '0.00381208', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.45895386', 'grpo_loop_time': '417.58236694', 'ref_model_time': '113.50304413', 'approx_kl': '2.425e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.810e-07', 'kl_loss': '0.00073418', 'kl_moving': '0.00073418', 'kl_stepwise': '6.446e-10', 'gathered_avg_reward_mean': '-1.16929018', 'gathered_avg_reward_std': '0.82062101', 'gathered_videoalign_local_mq_reward_mean': '-0.69260925', 'gathered_videoalign_local_mq_reward_std': '0.41309071', 'gathered_videoalign_local_overall_reward_mean': '-2.06439519', 'gathered_videoalign_local_overall_reward_std': '1.01195598', 'gathered_videoalign_local_ta_reward_mean': '-0.27418518', 'gathered_videoalign_local_ta_reward_std': '0.71949190', 'gathered_videoalign_local_vq_reward_mean': '-1.09760070', 'gathered_videoalign_local_vq_reward_std': '0.28850198', 'gathered_ori_avg_reward_mean': '-1.16929030', 'gathered_ori_avg_reward_std': '0.82062101'}
+2026-04-25 10:10:17.651 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 10:10:17.745 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:10:17.759 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 10:11:22.655 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000096/group_0/index_8016_seed_1341_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 10:11:23.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:11:23.290 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 10:12:27.525 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000096/group_0/index_8016_seed_1342_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 10:12:28.147 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 10:12:28.498 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 10:12:29.459 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-04-25 10:14:22.171 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.70s (1.88min)
+2026-04-25 10:14:22.926 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 96: training:  50%|█████     | 1/2 [03:26<03:26, 206.88s/it]              2026-04-25 10:21:20.978 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 97, train_steps: 3880
+Global Step 96: training: 100%|██████████| 2/2 [06:58<00:00, 209.01s/it]10, 10.18s/it]
+2026-04-25 10:21:21.593 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 97	train_steps 3880	{'step': '97/10000', 'learning_rate': '0.00001000', 'loss': '-3.260e-08', 'grad_norm': '0.00294056', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '245.19444275', 'grpo_loop_time': '418.03103638', 'ref_model_time': '112.69808960', 'approx_kl': '2.408e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.260e-08', 'kl_loss': '0.00075232', 'kl_moving': '0.00075232', 'kl_stepwise': '1.058e-09', 'gathered_avg_reward_mean': '-0.82318181', 'gathered_avg_reward_std': '0.89181465', 'gathered_videoalign_local_mq_reward_mean': '-0.69370449', 'gathered_videoalign_local_mq_reward_std': '0.49512741', 'gathered_videoalign_local_overall_reward_mean': '-1.73920691', 'gathered_videoalign_local_overall_reward_std': '1.19291198', 'gathered_videoalign_local_ta_reward_mean': '0.09284331', 'gathered_videoalign_local_ta_reward_std': '0.68840849', 'gathered_videoalign_local_vq_reward_mean': '-1.13834572', 'gathered_videoalign_local_vq_reward_std': '0.36404788', 'gathered_ori_avg_reward_mean': '-0.82318175', 'gathered_ori_avg_reward_std': '0.89181465'}
+2026-04-25 10:21:21.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 10:21:21.743 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:21:21.802 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 10:22:26.819 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000097/group_0/index_5950_seed_24152_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 10:22:27.468 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:22:27.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 10:23:31.379 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000097/group_0/index_5950_seed_24153_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 10:23:32.071 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 10:23:32.214 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 10:23:33.017 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.07s/it]
+2026-04-25 10:25:27.594 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.48s (1.91min)
+2026-04-25 10:25:28.357 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 97: training:  50%|█████     | 1/2 [03:25<03:25, 205.78s/it]              2026-04-25 10:32:23.985 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 98, train_steps: 3920
+Global Step 97: training: 100%|██████████| 2/2 [06:55<00:00, 207.82s/it]10, 10.16s/it]
+2026-04-25 10:32:24.642 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 98	train_steps 3920	{'step': '98/10000', 'learning_rate': '0.00001000', 'loss': '6.286e-08', 'grad_norm': '0.00394119', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.61729431', 'grpo_loop_time': '415.63482666', 'ref_model_time': '114.48295593', 'approx_kl': '2.333e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.286e-08', 'kl_loss': '0.00072040', 'kl_moving': '0.00072040', 'kl_stepwise': '1.231e-09', 'gathered_avg_reward_mean': '-1.00373328', 'gathered_avg_reward_std': '0.94700962', 'gathered_videoalign_local_mq_reward_mean': '-0.64442575', 'gathered_videoalign_local_mq_reward_std': '0.37312573', 'gathered_videoalign_local_overall_reward_mean': '-1.87612629', 'gathered_videoalign_local_overall_reward_std': '1.11633146', 'gathered_videoalign_local_ta_reward_mean': '-0.13134019', 'gathered_videoalign_local_ta_reward_std': '0.82856941', 'gathered_videoalign_local_vq_reward_mean': '-1.10036051', 'gathered_videoalign_local_vq_reward_std': '0.24477561', 'gathered_ori_avg_reward_mean': '-1.00373340', 'gathered_ori_avg_reward_std': '0.94700968'}
+2026-04-25 10:32:24.686 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 10:32:24.780 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:32:24.795 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 10:33:29.511 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000098/group_0/index_6234_seed_10501_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 10:33:30.142 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:33:30.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 10:34:34.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000098/group_0/index_6234_seed_10502_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 10:34:35.217 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 10:34:35.357 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 10:34:36.181 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-25 10:36:30.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.18s (1.90min)
+2026-04-25 10:36:31.205 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 98: training:  50%|█████     | 1/2 [03:25<03:25, 205.18s/it]              2026-04-25 10:43:26.226 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 99, train_steps: 3960
+Global Step 98: training: 100%|██████████| 2/2 [06:55<00:00, 207.50s/it]10, 10.16s/it]
+2026-04-25 10:43:26.839 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 99	train_steps 3960	{'step': '99/10000', 'learning_rate': '0.00001000', 'loss': '-9.569e-08', 'grad_norm': '0.00308171', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.43898010', 'grpo_loop_time': '415.00637817', 'ref_model_time': '114.18372345', 'approx_kl': '2.543e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.569e-08', 'kl_loss': '0.00075204', 'kl_moving': '0.00075204', 'kl_stepwise': '6.461e-10', 'gathered_avg_reward_mean': '-0.93792057', 'gathered_avg_reward_std': '0.81938934', 'gathered_videoalign_local_mq_reward_mean': '-0.62719131', 'gathered_videoalign_local_mq_reward_std': '0.44996426', 'gathered_videoalign_local_overall_reward_mean': '-1.79921651', 'gathered_videoalign_local_overall_reward_std': '1.07385111', 'gathered_videoalign_local_ta_reward_mean': '-0.07662456', 'gathered_videoalign_local_ta_reward_std': '0.62140143', 'gathered_videoalign_local_vq_reward_mean': '-1.09540069', 'gathered_videoalign_local_vq_reward_std': '0.32152024', 'gathered_ori_avg_reward_mean': '-0.93792057', 'gathered_ori_avg_reward_std': '0.81938934'}
+2026-04-25 10:43:26.909 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 10:43:26.995 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:43:27.011 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 10:44:32.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000099/group_0/index_9805_seed_298_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 10:44:33.317 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 10:44:33.320 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 10:45:37.898 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000099/group_0/index_9805_seed_299_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 10:45:38.570 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 10:45:38.683 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 10:45:39.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.72s/it]
+2026-04-25 10:47:32.648 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.96s (1.88min)
+2026-04-25 10:47:33.415 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 99: training:  50%|█████     | 1/2 [03:26<03:26, 206.20s/it]              2026-04-25 10:54:29.840 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 100, train_steps: 4000
+Global Step 99: training: 100%|██████████| 2/2 [06:56<00:00, 208.20s/it]10, 10.17s/it]
+2026-04-25 10:54:30.475 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 100	train_steps 4000	{'step': '100/10000', 'learning_rate': '0.00001000', 'loss': '1.456e-07', 'grad_norm': '0.00340607', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '246.41503906', 'grpo_loop_time': '416.40673828', 'ref_model_time': '112.95514679', 'approx_kl': '2.433e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.456e-07', 'kl_loss': '0.00074297', 'kl_moving': '0.00074297', 'kl_stepwise': '8.265e-10', 'gathered_avg_reward_mean': '-1.05316162', 'gathered_avg_reward_std': '0.81461024', 'gathered_videoalign_local_mq_reward_mean': '-0.77090842', 'gathered_videoalign_local_mq_reward_std': '0.47834232', 'gathered_videoalign_local_overall_reward_mean': '-2.04694009', 'gathered_videoalign_local_overall_reward_std': '1.12816322', 'gathered_videoalign_local_ta_reward_mean': '-0.05938318', 'gathered_videoalign_local_ta_reward_std': '0.60864562', 'gathered_videoalign_local_vq_reward_mean': '-1.21664834', 'gathered_videoalign_local_vq_reward_std': '0.36544743', 'gathered_ori_avg_reward_mean': '-1.05316162', 'gathered_ori_avg_reward_std': '0.81461024'}
+2026-04-25 10:54:30.527 | INFO     | __main__:validate:1917 - Running validation at step 100...
+2026-04-25 10:54:30.528 | INFO     | __main__:validate:1918 - Validation samples: 31
+2026-04-25 10:54:30.529 | INFO     | __main__:validate:1919 - Validation video_length=121
+2026-04-25 10:54:30.529 | INFO     | __main__:validate:1920 - Validation fixed global_seed=930
+2026-04-25 10:54:30.530 | INFO     | __main__:validate:1921 - Validation fixed_size=480x864
+2026-04-25 10:54:30.530 | INFO     | __main__:validate:1928 - Generating validation video 1/31: This cinematic close-up shot focuses on a young ma...
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               This cinematic close-up shot focuses on a young man with a round, gentle face and dark, neatly combed hair. He is seated at what appears to be a wooden table. The camera is positioned at eye level, creating an intimate and personal perspective. He wears a cozy, brown knit sweater. The scene is bathed in soft, natural light that casts gentle shadows, suggesting a calm afternoon. His full attention is on the task at hand: peeling a vibrant red apple. He holds the apple in his left hand and a small, silver paring knife in his right. With practiced, deliberate movements, he guides the blade just under the skin, carving off a single, unbroken peel that begins to curl downwards. His expression is one of serene focus, his brow slightly furrowed in concentration. The background is softly out of focus, hinting at a simple, rustic kitchen setting, ensuring the viewer's attention remains on the man and the simple, satisfying act of peeling the apple.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      7271
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 11:01:16.872 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_000_seed_7271_This cinematic close-up shot focuses on a young ma.mp4
+2026-04-25 11:01:16.874 | INFO     | __main__:validate:1928 - Generating validation video 2/31: The scene opens on a tranquil, sun-drenched meadow...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a tranquil, sun-drenched meadow in the late afternoon. An eye-level full shot frames Isaac Newton, a man with long hair dressed in simple 17th-century clothing, sitting at the base of a large, gnarled apple tree. He leans against the trunk, positioned according to the rule of thirds, creating a sense of balance and space. Dappled sunlight streams through the leafy canopy, casting soft, moving shadows on the ground. Newton is completely absorbed in thought, his gaze distant and unfocused. A gentle breeze rustles the leaves. High above him, a ripe red apple loosens from its stem. It drops silently at first, then lands with a distinct 'thump' on top of Newton's head. He flinches, startled out of his deep thoughts, and instinctively raises a hand to the point of impact. His eyes dart upwards towards the branches, then scan the ground around him. He spots the offending red apple lying in the grass. His initial annoyance gives way to curiosity as he reaches down, picks it up, and holds it in his palm. He turns it over, examining it, and his expression slowly transforms into one of profound, dawning realization, the genesis of a revolutionary idea.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      861
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 11:08:01.782 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_001_seed_861_The scene opens on a tranquil, sun-drenched meadow.mp4
+2026-04-25 11:08:01.783 | INFO     | __main__:validate:1928 - Generating validation video 3/31: The scene opens on a tight, eye-level close-up of ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a tight, eye-level close-up of an older, white-haired chef in a professional kitchen. His face, etched with lines of fatigue, is illuminated by a single source of side lighting, casting deep shadows that accentuate his somber mood. He is wearing a traditional white chef's jacket, slightly unbuttoned at the collar. In his right hand, he holds a stainless steel tasting spoon containing a small amount of a dark sauce. He brings the spoon to his mouth, his movements deliberate and practiced. He closes his eyes as he tastes the contents, his brow furrowing slightly. A moment of stillness hangs in the air before his expression shifts to one of clear, deep-seated disappointment. His lips press into a thin line. He lowers the spoon, his gaze directed downwards and off-camera, as if lost in thought. He then begins to shake his head slowly and deliberately from side to side, a non-verbal confirmation that the dish is not right. The background is a soft-focus blur of a sterile, industrial kitchen environment, with the metallic sheen of stainless steel surfaces and the dark shapes of hanging pots and pans barely discernible, isolating the chef in his moment of quiet professional grief.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5391
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.85s/it]
+2026-04-25 11:14:46.920 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_002_seed_5391_The scene opens on a tight, eye-level close-up of .mp4
+2026-04-25 11:14:46.922 | INFO     | __main__:validate:1928 - Generating validation video 4/31: The scene opens on a tight close-up of a blond man...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a tight close-up of a blond man in his late 30s, his face partially illuminated by a single, harsh light source from the right, creating a dramatic chiaroscuro effect. The background is a dark, indistinct blur, suggesting a private study or office at night. Initially, his expression is neutral, perhaps listening to something off-screen. A subtle flicker of understanding crosses his features, followed by a wave of disbelief. His blue eyes widen for a moment, and his brow furrows. Then, the transformation begins. His skin seems to pale, taking on a livid, almost greyish hue under the cool light. His nostrils flare, and he draws a sharp, silent breath. His jaw clenches so tightly that a muscle bulges along his cheek. His gaze becomes a hard, piercing stare, fixed on an unseen point. His hands, which were out of frame, slowly rise into view. We see the fingers curl inward, one by one, until both hands are balled into powerful, white-knuckled fists. The veins on the back of his hands stand out, and the fists tremble with suppressed rage. He remains frozen in this state of potent, silent fury, a portrait of anger about to boil over.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5192
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.85s/it]
+2026-04-25 11:21:32.159 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_003_seed_5192_The scene opens on a tight close-up of a blond man.mp4
+2026-04-25 11:21:32.161 | INFO     | __main__:validate:1928 - Generating validation video 5/31: The scene opens on a medium, eye-level shot of thr...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium, eye-level shot of three young women seated at a dining table, their forms and the environment rendered in a soft, flowing watercolor style. The woman on the left, with blonde hair tied back, wears a cream-colored sweater. In the center, a woman with dark, curly hair in a blush pink top smiles warmly. On the right, a woman with auburn hair in a terracotta dress initiates the toast. The table is adorned with simple white plates and silverware, with the focus being on three elegant glasses filled with a rich, crimson red wine. The woman on the right gracefully picks up her glass first. Following her lead, the woman in the center and then the woman on the left pick up their glasses. Their painted faces are filled with genuine joy and affection. They bring their glasses together over the center of the table, the light catching the deep red of the wine. The moment before the glasses clink is held, capturing the peak of their shared celebratory spirit. The background is a gentle wash of warm, indistinct colors, suggesting a cozy interior without distracting from the central, heartfelt action.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5735
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.85s/it]
+2026-04-25 11:28:17.335 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_004_seed_5735_The scene opens on a medium, eye-level shot of thr.mp4
+2026-04-25 11:28:17.337 | INFO     | __main__:validate:1928 - Generating validation video 6/31: The scene opens with a medium shot of an elderly w...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a medium shot of an elderly woman, appearing to be in her 80s, seated on a simple wooden stool in a public park. She has fine, silver hair neatly tied back and wears a traditional, dark-colored tunic with intricate embroidery at the collar. Her eyes are gently closed as she focuses on her music. In her hands, she holds a polished, dark wood erhu. Her left hand delicately presses the strings, her fingers moving with practiced grace, while her right hand draws the bow smoothly across them, producing a soulful, resonant melody. She hums softly, a low, gentle sound that harmonizes perfectly with the instrument's voice. A diverse crowd of onlookers, ranging from young adults to other seniors, has formed a respectful semi-circle around her. Some watch with rapt attention, their expressions contemplative. A young woman can be seen subtly recording on her phone, while an older man nods his head slowly to the rhythm. The park setting is serene, with large, mature trees whose leaves create a soft, dappled canopy. The light is diffused, characteristic of an overcast day, which lends a moody and introspective quality to the entire scene. The focus remains tightly on the woman, a figure of serene artistry amidst the quiet reverence of her audience.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6266
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.85s/it]
+2026-04-25 11:35:02.540 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_005_seed_6266_The scene opens with a medium shot of an elderly w.mp4
+2026-04-25 11:35:02.542 | INFO     | __main__:validate:1928 - Generating validation video 7/31: The scene is a tight close-up, rendered in a style...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is a tight close-up, rendered in a style reminiscent of a Da Vinci painting with its dramatic use of light and shadow. A petite woman is concealed within the suffocating confines of a dark closet. The composition adheres to the rule of thirds, placing her terrified face off-center. The only illumination is a stark, vertical sliver of light piercing the darkness from a door that is barely ajar. This side light carves her features out of the gloom, highlighting the sheen of tears in her wide-open eyes, the pale skin of her cheek, and the white knuckles of the hand she has clamped desperately over her mouth. Her body trembles violently and uncontrollably, a physical manifestation of her terror. She is trying to stifle any sound, her chest rising and falling in shallow, ragged breaths. The surrounding space is an abyss of black, with the faint outlines of hanging clothes creating a sense of being buried. The atmosphere is thick with dread and unbearable suspense, focusing entirely on her silent, petrified state.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      467
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 11:41:47.496 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_006_seed_467_The scene is a tight close-up, rendered in a style.mp4
+2026-04-25 11:41:47.498 | INFO     | __main__:validate:1928 - Generating validation video 8/31: The scene opens with a medium shot of a cozy, slig...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a medium shot of a cozy, slightly cluttered living room, bathed in the warm glow of late afternoon sun filtering through a window on the right. A middle-aged, plump man with thinning brown hair enters from the left side of the frame. He is dressed casually in a green and blue plaid button-up shirt and dark jeans, and he has a weary expression on his face. He walks towards a large, overstuffed couch with a faded, brown floral pattern. In front of the couch sits a low wooden coffee table with a stack of magazines. The man turns and lowers himself onto the couch with a tired sigh. The camera maintains an eye-level perspective, emphasizing the dramatic sinking of the well-worn cushions as they slowly give way under his substantial weight. The fabric strains and creases around him. He shifts his body slightly, finding a comfortable position before leaning his head back against the top of the sofa and closing his eyes, finally at rest.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      4427
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 11:48:32.518 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_007_seed_4427_The scene opens with a medium shot of a cozy, slig.mp4
+2026-04-25 11:48:32.520 | INFO     | __main__:validate:1928 - Generating validation video 9/31: The scene opens on a medium long shot, capturing t...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium long shot, capturing the full form of a graceful, fair-skinned European rhythmic gymnast in the center of a competition floor. She is illuminated by a powerful, bright spotlight that makes her sparkling, royal blue leotard glitter. Her blonde hair is tied back in a neat bun. In her hands, she expertly manipulates a long, shimmering silver ribbon, which swirls and dances around her in intricate, flowing patterns as she moves. She executes a series of complex maneuvers, including a high, arching leap followed by a perfectly controlled spin, her body a picture of elegance and strength. The camera, positioned at a slightly low angle, emphasizes the height of her jumps and the grandeur of her performance. The background is dark, but filled with the blurred shapes of a massive, seated audience. The sound of their thunderous applause and enthusiastic cheers is constant, underscoring the excitement of the event. The atmosphere is electric and triumphant, celebrating the athlete's incredible skill and artistry.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5579
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 11:55:17.494 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_008_seed_5579_The scene opens on a medium long shot, capturing t.mp4
+2026-04-25 11:55:17.495 | INFO     | __main__:validate:1928 - Generating validation video 10/31: The scene opens with a stunning wide shot, filmed ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a stunning wide shot, filmed in slow motion from a low angle. Five children, a diverse group of boys and girls aged between six and ten, are running exuberantly across a vast field. The field is filled with tall, golden-yellow grass that sways gently in the breeze and reaches their waists. It's the golden hour, and the setting sun, positioned behind the children, creates a brilliant backlight. This light forms a radiant halo around their hair and outlines their bodies, separating them from the lush background. Dust motes and pollen kicked up by their running feet dance and sparkle in the sunbeams. The children are spread out, yet moving together as a group from right to left across the frame. Their faces are alight with pure joy; mouths are open in laughter, and their eyes are bright with excitement. One girl with long blonde pigtails leads the pack, looking back over her shoulder with a wide grin. A boy in a red t-shirt leaps playfully into the air. The slow-motion effect accentuates every detail: the bounce of their hair, the flowing fabric of their clothes, and the effortless grace of their youthful movements. The sky above is a soft, clear blue, providing a cool contrast to the warm tones of the field below. The atmosphere is overwhelmingly joyful, nostalgic, and evocative of the perfect, endless days of summer childhood.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      8323
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 12:02:02.367 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_009_seed_8323_The scene opens with a stunning wide shot, filmed .mp4
+2026-04-25 12:02:02.369 | INFO     | __main__:validate:1928 - Generating validation video 11/31: The scene is captured in a dramatic low-angle medi...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is captured in a dramatic low-angle medium shot, amplifying the scale and danger of the stunt. On a completely dark stage, the only source of light is a large metal ring, fiercely ablaze with vibrant orange and yellow flames that lick and dance into the darkness. A bare-chested Asian man, his muscles taut with concentration, stands poised a few feet from the fiery obstacle. He takes a deep breath, his eyes locked on the opening. With a powerful burst of energy, he sprints forward. He launches himself into the air, tucking his legs and arms close to his body to navigate the narrow, burning passage. For a split second, he is perfectly framed within the circle of fire, a silhouette against the inferno. The intense light casts flickering shadows and highlights across his skin and simple dark pants. He passes through the ring cleanly and lands gracefully on the other side, rolling to absorb the impact before rising to his feet. The background remains an abyss of black, isolating the raw, thrilling spectacle of man versus fire. The atmosphere is thick with tension and awe at the display of courage and physical control.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      1686
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 12:08:47.167 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_010_seed_1686_The scene is captured in a dramatic low-angle medi.mp4
+2026-04-25 12:08:47.169 | INFO     | __main__:validate:1928 - Generating validation video 12/31: The scene is set in a bustling, sun-drenched town ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is set in a bustling, sun-drenched town square with historic buildings in the background. A wide, eye-level shot captures an elderly man pushing a tandem wheelchair, in which his wife is seated comfortably. They move across the cobblestone plaza, their expressions content. The entire scene is rendered in sharp focus, highlighting the textures of the environment and the details of the people. As they proceed, they come across three other elderly couples who appear to be old friends. A moment of joyful recognition passes between them. The man stops the wheelchair, and the groups merge. Smiles, waves, and cheerful chatter fill the air as they reunite, creating a lively and heartwarming tableau of enduring companionship and community in their golden years. The camera remains static, allowing the natural, happy interaction to unfold within the frame.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      770
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 12:15:31.773 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_011_seed_770_The scene is set in a bustling, sun-drenched town .mp4
+2026-04-25 12:15:31.775 | INFO     | __main__:validate:1928 - Generating validation video 13/31: The frame is filled entirely by the face of a fema...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The frame is filled entirely by the face of a female tourist in extreme distress. The shot is an unflinching extreme close-up at eye level, creating an intimate and unsettling connection with her struggle. She is breathing from a transparent oxygen mask strapped tightly to her face. Her lips, the focal point of the shot, are a deathly shade of blue-grey, a clear sign of cyanosis. They are painfully chapped, with dry skin peeling away, evidence of severe dehydration and exposure to harsh elements. With each ragged inhalation, her nostrils flare wide, the muscles in her face tensing with the sheer effort of drawing air into her lungs. A fine layer of frost and tiny ice crystals can be seen on her eyebrows and the wisps of hair escaping her fur-lined hood. The overcast natural light is stark and unforgiving, highlighting every raw texture on her skin and casting subtle, cold shadows. The background is a complete blur of white and grey, suggesting a snow-swept, high-altitude location without offering any distracting details. The only movement is the rhythmic, desperate pulse of her breathing.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6950
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 12:22:16.530 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_012_seed_6950_The frame is filled entirely by the face of a fema.mp4
+2026-04-25 12:22:16.532 | INFO     | __main__:validate:1928 - Generating validation video 14/31: The scene opens on a bright, sunny day in a lush g...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a bright, sunny day in a lush green backyard. A small boy, around six years old with tousled blond hair, is the central focus. He is dressed in a vibrant red short-sleeved t-shirt and blue denim shorts. In front of him, on the manicured lawn, sits a tall, slightly wobbly tower constructed from colorful wooden blocks of various shapes and sizes—red, blue, yellow, and green. The camera, positioned at a low angle, captures the boy as he takes a small step back to admire his handiwork. He plants his feet firmly apart, straightens his back, and places both hands squarely on his hips in a classic pose of accomplishment. His chest puffs out with pride. After a moment of contemplation, his face breaks into a huge, infectious smile, his eyes crinkling at the corners. The smile is pure, unadulterated joy and pride. The bright, natural sunlight casts a warm glow over the entire scene, creating a soft lens flare and making the colors pop. The background is slightly blurred, keeping the focus entirely on the boy and his triumphant moment.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2434
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 12:29:01.307 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_013_seed_2434_The scene opens on a bright, sunny day in a lush g.mp4
+2026-04-25 12:29:01.309 | INFO     | __main__:validate:1928 - Generating validation video 15/31: The shot opens with an extreme close-up, top-down ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The shot opens with an extreme close-up, top-down view of the back of a human hand resting on a flat, neutral gray surface. A significant, fresh laceration is centered in the frame, its edges raw and red, with a slight glistening of blood. The surrounding skin is pale. The time-lapse sequence begins, and the visual transformation is immediate and dramatic. The raw edges of the wound visibly contract, pulling towards each other as if drawn by an invisible thread. The deep red color darkens as a scab rapidly forms over the cut, a process that happens in a blur of motion. Almost as soon as it appears, the dark scab begins to shrink and flake away, revealing a layer of new, pink, and delicate skin underneath. This new tissue quickly matures, its color evening out and blending seamlessly with the surrounding skin tone. The fine lines and texture of the skin reappear over the healed area. The entire healing cycle completes in a matter of seconds, leaving the hand looking perfectly smooth and unscarred, as if the injury never occurred. The lighting remains constant and clinical throughout, highlighting every detail of the accelerated biological process.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5312
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 12:35:46.166 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_014_seed_5312_The shot opens with an extreme close-up, top-down .mp4
+2026-04-25 12:35:46.168 | INFO     | __main__:validate:1928 - Generating validation video 16/31: The scene opens on a sweeping wide shot, composed ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a sweeping wide shot, composed according to the rule of thirds, with an elderly Chinese man positioned on the right side of the frame. He stands on an ancient, weathered stone path that meanders through a landscape of rolling hills shrouded in a thick, soft mist. The man has a deeply wrinkled face and a long, flowing white beard that reaches his chest. He wears a simple, coarse-spun brown robe and a traditional conical bamboo hat that casts a gentle shadow over his features. In his left hand, he grips a gnarled wooden cane, its surface polished smooth from years of use, providing him with stability. His entire focus is on his right hand, which is held up near his face. His brow is furrowed in concentration as his thumb methodically touches different segments of his fingers in a complex, silent calculation. The environment is lit by a diffused, natural light coming from the side, which catches the airborne mist and softly illuminates the contours of his robe and the sparse, gnarled trees dotting the background. The atmosphere is one of profound peace and deep contemplation, as if the man is solving a timeless riddle alone in nature.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5052
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 12:42:31.243 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_015_seed_5052_The scene opens on a sweeping wide shot, composed .mp4
+2026-04-25 12:42:31.246 | INFO     | __main__:validate:1928 - Generating validation video 17/31: The scene opens with a low-angle, full shot of a w...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a low-angle, full shot of a woman with dark, flowing hair, wearing a striking, floor-length scarlet red dress. She is strolling leisurely from right to left along a winding cobblestone path in a magnificent, verdant garden. The garden is in full bloom, with an array of colorful flowers like deep pink roses and tall, yellow sunflowers flanking the path. The camera is positioned low to the ground, making the flowers in the foreground appear large and immersive, framing the woman majestically. It's the golden hour; the setting sun is out of frame but casts long shadows and bathes the scene in a warm, golden light. This backlights the woman, creating a soft, ethereal glow around her silhouette and illuminating the delicate fabric of her dress. As she walks, she gently brushes her fingertips against the petals of a rose. The camera pans smoothly, following her elegant and unhurried pace. The background consists of tall green hedges and a soft-focus view of the sky, painted with hues of orange and pink.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6421
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.87s/it]
+2026-04-25 12:49:17.189 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_016_seed_6421_The scene opens with a low-angle, full shot of a w.mp4
+2026-04-25 12:49:17.190 | INFO     | __main__:validate:1928 - Generating validation video 18/31: From a high-angle perspective, the entirety of a p...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               From a high-angle perspective, the entirety of a professional-grade, vibrant green tennis court is visible under a brilliant, cloudless blue sky. In the foreground, a man with short dark hair, dressed in a white polo shirt and blue shorts, is captured mid-motion. He has just completed a powerful forehand stroke, his body extended and his focus locked on the ball. The tennis racket is a blur of motion in his right hand. Across the net, in the background, his opponent, a blond man in a red shirt and white shorts, is already reacting. He is crouched low, his knees bent, moving swiftly to his left to intercept the fast-approaching yellow tennis ball. The white lines of the court stand out starkly against the green surface, and the net casts a faint, sharp shadow. The surrounding area includes a high chain-link fence, and beyond it, some out-of-focus green trees suggest a park or sports complex setting. The rally is fast and intense, a testament to the players' skill and athleticism, creating a palpable atmosphere of competition and focus.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      1185
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.85s/it]
+2026-04-25 12:56:02.294 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_017_seed_1185_From a high-angle perspective, the entirety of a p.mp4
+2026-04-25 12:56:02.296 | INFO     | __main__:validate:1928 - Generating validation video 19/31: The scene opens on a wide, low-angle shot within a...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a wide, low-angle shot within a sprawling, sunlit temple courtyard paved with ancient stones. In the lower third of the frame, a group of three tourists comes to a halt. The group consists of an older Caucasian man with a camera around his neck, a middle-aged Asian woman in a sun hat, and a young man wearing a backpack. They are initially looking at their surroundings, a low murmur of conversation between them. The woman points upwards, and as one, they slowly begin to tilt their heads back. The camera follows their gaze, panning vertically up the massive, weathered bronze statue of Confucius that dominates the frame. The statue is depicted in a thoughtful pose, one hand stroking a long beard, its robes intricately detailed. The sunlight glints off the bronze, creating highlights and deep shadows that accentuate its aged texture. The tourists' faces, now fully visible, are filled with a silent, shared awe. The older man's mouth is slightly agape, while the woman has a hand to her chest. The young man simply stares, captivated. The background features the ornate, curved eaves of a traditional temple building against a brilliant, clear blue sky.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      4556
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 13:02:47.061 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_018_seed_4556_The scene opens on a wide, low-angle shot within a.mp4
+2026-04-25 13:02:47.062 | INFO     | __main__:validate:1928 - Generating validation video 20/31: The scene opens on a medium shot from a slightly h...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium shot from a slightly high angle, focusing on a man in his late 50s seated in a faded, brown armchair. The room is steeped in a quiet, melancholic atmosphere, illuminated only by the soft, fading natural light from a single window off-screen. The man, with short, salt-and-pepper hair and a weary expression, is hunched forward, his shoulders slumped in a posture of defeat. He is dressed in a simple, dark gray knitted sweater. In his hands, he holds a large, crinkled newspaper. He isn't actively reading; instead, his fingers absently turn the large pages, the rustling sound being the only noise in the otherwise silent room. His gaze is distant, looking down at the paper but seemingly through it. He flips a page, lets it settle, pauses for a long moment, and then repeats the action without any change in his somber expression. The composition places him on the right third of the frame, leaving empty space to his left, which amplifies his isolation. The background is softly out of focus, showing a plain wall with a single, framed picture hanging crookedly, and the corner of a wooden side table with a cold cup of tea on it. The muted color palette of blues, grays, and browns, combined with the soft lighting, creates a poignant and deeply sorrowful mood.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      3386
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:34<00:00,  9.85s/it]
+2026-04-25 13:09:32.184 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_019_seed_3386_The scene opens on a medium shot from a slightly h.mp4
+2026-04-25 13:09:32.186 | INFO     | __main__:validate:1928 - Generating validation video 21/31: The scene opens on a wide, eye-level shot capturin...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a wide, eye-level shot capturing an old, weathered stone bridge arching over a calm, slow-moving river. It's late autumn, and the trees lining the riverbank have shed most of their leaves, their bare branches stark against the pale, overcast sky. Positioned on the right third of the frame, two young women stand close together, leaning on the thick stone parapet. The first woman, with dark hair stirred by a gentle breeze, wears a long, dark coat. Her focus is entirely on the water's gentle current. Beside her, the second woman, in a gray knitted beanie and a lighter jacket, stares into the distance, her expression lost in thought. The natural, soft light of the afternoon casts no harsh shadows, bathing the scene in a cool, somber tone. The color palette is dominated by muted blues from the water and sky, and the earthy grays and browns of the stone and landscape. They remain silent, their shared stillness and the quiet flow of the river creating a powerful, sorrowful atmosphere of shared grief or deep reflection.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6397
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 13:16:17.002 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_020_seed_6397_The scene opens on a wide, eye-level shot capturin.mp4
+2026-04-25 13:16:17.004 | INFO     | __main__:validate:1928 - Generating validation video 22/31: The scene is captured from a dynamic low-angle, wi...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is captured from a dynamic low-angle, wide shot, immersing the viewer in the world of eight young children playing in a sun-drenched park. Each child wears an identical, vibrant red hat, creating a striking visual unity against the backdrop of a verdant green lawn and a clear blue sky. They are deeply engrossed in building with a large collection of colorful wooden blocks. The low viewpoint makes their small figures seem heroic and their block structures appear like a miniature city skyline. In the center of the frame, a few children work together, carefully stacking blocks to create a tall tower. To the side, others are building lower, house-like structures. Their faces show a mixture of intense concentration and pure joy. The natural sunlight is bright and warm, casting soft shadows and highlighting the vivid colors of the blocks and the children's clothing. The atmosphere is one of innocent creativity, collaboration, and playful happiness, set within an idyllic park environment.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      8667
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.84s/it]
+2026-04-25 13:23:01.620 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_021_seed_8667_The scene is captured from a dynamic low-angle, wi.mp4
+2026-04-25 13:23:01.622 | INFO     | __main__:validate:1928 - Generating validation video 23/31: The scene opens with a high-angle, close-up shot, ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a high-angle, close-up shot, focusing intently on the cupped hands of a young, bald boy kneeling at the edge of a tranquil garden pond. The water is crystal clear, revealing smooth stones at the bottom. Inside his hands, cradled in a small pool of water, is a vibrant red koi fish, its scales shimmering in the soft, natural light that filters through the leaves of an unseen tree. The boy's fingers are gentle, holding the fish securely but without pressure. His face is out of focus in the background, but his posture suggests deep concentration and care. He slowly and deliberately lowers his hands, breaking the still surface of the pond. Water ripples outwards in concentric circles. For a brief moment, the koi remains in his open palms just below the surface before it senses its freedom. With a graceful flick of its tail, the fish propels itself forward, a flash of crimson disappearing into the murky green depths of the pond. The boy keeps his hands submerged for a second longer, watching it go, before slowly withdrawing them. Droplets of water fall from his fingertips back into the pond.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      9275
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:33<00:00,  9.85s/it]
+2026-04-25 13:29:46.556 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_022_seed_9275_The scene opens with a high-angle, close-up shot, .mp4
+2026-04-25 13:29:46.558 | INFO     | __main__:validate:1928 - Generating validation video 24/31: The scene opens with a high-angle wide shot of a v...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a high-angle wide shot of a vast, untouched snowy landscape under a pale, late-afternoon sky. A solitary figure, a beautiful Chinese woman, stands in the lower right third of the frame. She has long, flowing black hair that contrasts sharply with the white snow. She is elegantly dressed, wearing a full-length, dark brown fur coat over a form-fitting black knit dress and impractical high-heeled boots. Large, dark sunglasses obscure her eyes, making her expression unreadable. The natural light is soft and cool, casting long, blue shadows across the snow. After a moment of stillness, she begins to move with a slow, almost ceremonial grace. She bends her knees, lowering her body towards the ground. Her movements are fluid and deliberate as she lies back, her fur coat spreading around her like a dark halo against the pristine white. She comes to rest fully on her back, her arms falling limply to her sides, her head turned slightly to the side. The camera holds on this image: a stark, beautiful, and poignant tableau of luxury and vulnerability against the unforgiving cold of nature.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2559
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-25 13:36:29.025 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_023_seed_2559_The scene opens with a high-angle wide shot of a v.mp4
+2026-04-25 13:36:29.027 | INFO     | __main__:validate:1928 - Generating validation video 25/31: The scene opens with a medium close-up on a man in...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a medium close-up on a man in his late forties, his face framed by a thick, unkempt beard. He is seated in what appears to be a dark study, though the background is mostly lost to shadow. The shot is rendered in a stark, high-contrast monochrome, reminiscent of film noir. A single, harsh key light illuminates the right side of his face, casting the left side in deep shadow and accentuating the sweat on his brow and the frantic look in his eyes. He is wearing a dark, woolen sweater. In his hands, he clutches a thick, hardbound book. His knuckles are white. For a moment, he stares down at the book, his chest heaving with ragged breaths. Then, with a sudden, explosive movement, he lets out a silent scream of pure rage and begins to tear at the cover. The sound of ripping cardboard and paper fills the silence. He savagely pulls the spine from the binding, then begins ripping out handfuls of pages, his movements frantic and uncontrolled. The white pages flutter down around him, stark against the surrounding darkness. He doesn't stop until the book is completely destroyed, a mangled ruin of paper and glue in his trembling hands. He then lets the remnants fall from his grasp, his head slumping forward in exhaustion and despair.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      7850
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-25 13:43:10.807 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_024_seed_7850_The scene opens with a medium close-up on a man in.mp4
+2026-04-25 13:43:10.808 | INFO     | __main__:validate:1928 - Generating validation video 26/31: The scene opens on a wide shot of a meticulously c...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a wide shot of a meticulously crafted claymation garden under a bright, sunny sky. The garden is a tapestry of vibrant colors, with lush green grass, a winding grey stone path, and oversized, whimsical flowers in pastel pinks, purples, and blues. A small clay figure of a little girl enters the frame from the right. She has brown pigtails tied with blue ribbons and is wearing a cheerful bright yellow dress. In her left hand, she clutches the red handle of a colorful, striped handbag. With a joyful expression on her face, she begins to skip along the stone path, moving from right to left across the screen. Her skipping motion is charmingly imperfect, a hallmark of stop-motion animation, with each frame capturing a distinct pose. As she skips, she swings the handbag back and forth in rhythm with her steps. In the background, a small clay butterfly with orange wings flutters near a large pink flower. The entire scene is bathed in soft, warm light, creating a gentle and heartwarming atmosphere of childhood innocence and wonder. The girl continues skipping until she exits the frame on the left.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2048
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.76s/it]
+2026-04-25 13:49:52.543 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_025_seed_2048_The scene opens on a wide shot of a meticulously c.mp4
+2026-04-25 13:49:52.544 | INFO     | __main__:validate:1928 - Generating validation video 27/31: An eye-level, medium-wide shot captures a moment o...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               An eye-level, medium-wide shot captures a moment of serene harmony in a quiet park at dusk. A middle-aged Caucasian man and an Asian woman are practicing yoga together on the lush green grass. The setting sun, low on the horizon, bathes the scene in a warm, golden light, backlighting the pair and casting long shadows. They are positioned symmetrically, mirroring each other in the Warrior II (Virabhadrasana II) pose. The man, on the left, wears a grey t-shirt and black shorts. The woman, on the right, is in a teal tank top and dark leggings, her dark hair pulled into a neat ponytail. Their focus is palpable as they hold the pose, their bodies strong and steady. In the background, tall, leafy trees frame the scene, their leaves gently rustling in a soft evening breeze. After a moment of stillness, they gracefully transition in unison, lowering their arms and stepping their feet together, preparing for the next sequence, their movements fluid and synchronized, embodying a deep sense of peace and connection.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2748
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.76s/it]
+2026-04-25 13:56:34.162 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_026_seed_2748_An eye-level, medium-wide shot captures a moment o.mp4
+2026-04-25 13:56:34.164 | INFO     | __main__:validate:1928 - Generating validation video 28/31: The scene opens on a medium, low-angle shot of a t...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium, low-angle shot of a teenage boy on an empty, red-surfaced running track during sunset. He is positioned on the right third of the frame, having just completed an intense sprint. He wears a striking neon green athletic jacket, unzipped to reveal a dark shirt underneath, and black running shorts. His body is bent sharply at the waist, his hands pressed firmly onto his knees for support as he struggles to recover. His dark, curly hair is damp with sweat, which also beads on his forehead and temples. His chest rises and falls rapidly and deeply, and with each ragged exhalation, a faint mist of his breath is visible in the cooling air, illuminated by the strong backlight from the setting sun. The sun, low on the horizon, casts long shadows and bathes the scene in a warm, orange glow, creating a cinematic lens flare that streaks across the frame. After a few moments of labored breathing, he slowly and painfully straightens his posture, his eyes remaining fixed on the track ahead with a look of fierce determination mixed with utter exhaustion.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      9168
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.76s/it]
+2026-04-25 14:03:15.727 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_027_seed_9168_The scene opens on a medium, low-angle shot of a t.mp4
+2026-04-25 14:03:15.729 | INFO     | __main__:validate:1928 - Generating validation video 29/31: The scene opens with a static, extreme wide shot f...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a static, extreme wide shot from a bird's-eye view, looking down upon a vast expanse of green lawn. The grass is almost entirely obscured by a chaotic carpet of debris left behind by a music festival: countless plastic cups, crumpled food wrappers, discarded flyers, and shimmering confetti. The early morning light, a soft golden hue, streams in from the side, casting long, dramatic shadows across the field. A single, small figure, a janitor in a dark blue uniform, moves slowly and deliberately through the mess. He pushes a wheeled trash cart ahead of him. With a mechanical grabber in one hand, he methodically picks up pieces of trash one by one, his movements precise and unhurried. He drops each item into a large, gaping black plastic bag attached to his cart. The sheer scale of the mess dwarfs him, making his task seem monumental, almost futile. In the far background, the skeletal structure of the main festival stage is visible, now silent and empty. The contrast between the colorful, festive remnants and the solitary, quiet labor of the janitor creates a powerful, contemplative mood, capturing the silent, unseen work that follows mass celebration.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      9999
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-25 14:09:58.012 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_028_seed_9999_The scene opens with a static, extreme wide shot f.mp4
+2026-04-25 14:09:58.013 | INFO     | __main__:validate:1928 - Generating validation video 30/31: The shot opens on a medium frame of a young baller...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The shot opens on a medium frame of a young ballerina sitting on the worn, wooden edge of a vast, dark stage. She is isolated by a single, soft spotlight from above, which casts a gentle, ethereal glow on her and plunges the surrounding theater into deep, velvety shadow. She wears a classic white tutu, its delicate layers fanning out slightly around her, and her dark hair is pulled back in a tight, perfect bun. Her face, beautifully illuminated by the soft light, is a portrait of profound sadness; her eyes are downcast and glistening with unshed tears. Initially, her slender hands rest delicately on her lap, fingers intertwined. With a slow, deliberate, and almost heartbreakingly graceful movement, she lowers them to her sides, her fingertips eventually brushing against the rough surface of the stage floor. The action is imbued with a sense of finality and deep resignation. Following this, she gently brings her legs together, her pink pointe shoes, ribbons still perfectly tied, meeting with a soft, almost inaudible touch. She holds this final pose, her gaze directed slightly downwards, lost in her sorrowful thoughts. The stark contrast between the brightly lit, fragile figure and the cavernous darkness of the empty auditorium creates a powerful, palpable feeling of isolation and deep melancholy.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      190
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-25 14:16:40.246 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_029_seed_190_The shot opens on a medium frame of a young baller.mp4
+2026-04-25 14:16:40.248 | INFO     | __main__:validate:1928 - Generating validation video 31/31: The scene opens on a medium shot of a teenage boy ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium shot of a teenage boy sitting alone in a brightly lit coffee shop. He is positioned on the right third of the frame, wearing black-rimmed glasses and a forest green knit sweater. Sunlight from a large, clean window to his left casts a soft glow on his face and highlights the dust motes dancing in the air. In front of him, on a rustic wooden table, sits a white ceramic mug filled with coffee, a simple leaf pattern visible in the latte art. He slowly reaches out, wrapping both hands around the warmth of the mug. He lifts it to his lips, his eyes closing for a brief moment as he takes a sip. After savoring the taste, he gently lowers the mug back onto its saucer without a sound. He turns his head slightly, his gaze directed out the window, watching the world go by with a calm, contemplative expression. The background is softly blurred, showing the indistinct shapes of other patrons, hanging plants, and an exposed brick wall, creating a peaceful and introspective atmosphere.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2735
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-25 14:23:22.247 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000100/sample_030_seed_2735_The scene opens on a medium shot of a teenage boy .mp4
+2026-04-25 14:24:53.388 | INFO     | __main__:save_checkpoint:1563 - Checkpoint saved at step 100 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline/checkpoint-100
+2026-04-25 14:25:31.677 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=100 (missing=0, unexpected=0)
+2026-04-25 14:25:32.685 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 14:25:32.781 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:25:32.826 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.95s/it][00:59<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.95s/it]
+2026-04-25 14:26:36.672 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000100/group_0/index_2391_seed_20199_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 14:26:37.295 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:26:37.298 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 14:27:38.844 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000100/group_0/index_2391_seed_20200_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 14:27:39.495 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 14:27:39.624 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 14:27:40.724 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.11s/it]
+2026-04-25 14:29:34.530 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.66s (1.89min)
+2026-04-25 14:29:35.301 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 100: training:  50%|█████     | 1/2 [03:27<03:27, 207.63s/it]             2026-04-25 14:36:34.244 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 101, train_steps: 4040
+Global Step 100: training: 100%|██████████| 2/2 [06:58<00:00, 209.46s/it]0, 10.23s/it]
+2026-04-25 14:36:34.812 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 101	train_steps 4040	{'step': '101/10000', 'learning_rate': '0.00001000', 'loss': '0.00000000', 'grad_norm': '0.00314334', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.52832031', 'grpo_loop_time': '418.92828369', 'ref_model_time': '113.65857697', 'approx_kl': '2.362e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '0.00000000', 'kl_loss': '0.00069824', 'kl_moving': '0.00069824', 'kl_stepwise': '8.571e-10', 'gathered_avg_reward_mean': '-0.73583424', 'gathered_avg_reward_std': '0.63526326', 'gathered_videoalign_local_mq_reward_mean': '-0.59544027', 'gathered_videoalign_local_mq_reward_std': '0.46160114', 'gathered_videoalign_local_overall_reward_mean': '-1.53644633', 'gathered_videoalign_local_overall_reward_std': '0.91923344', 'gathered_videoalign_local_ta_reward_mean': '0.06477785', 'gathered_videoalign_local_ta_reward_std': '0.47637042', 'gathered_videoalign_local_vq_reward_mean': '-1.00578380', 'gathered_videoalign_local_vq_reward_std': '0.33919913', 'gathered_ori_avg_reward_mean': '-0.73583424', 'gathered_ori_avg_reward_std': '0.63526332'}
+2026-04-25 14:36:34.926 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 14:36:35.030 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:36:35.075 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 14:37:37.691 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000101/group_0/index_6886_seed_28497_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 14:37:38.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:37:38.317 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 14:38:40.137 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000101/group_0/index_6886_seed_28498_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 14:38:40.822 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 14:38:40.884 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 14:38:41.858 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.35s/it]
+2026-04-25 14:40:35.420 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.56s (1.89min)
+2026-04-25 14:40:36.184 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 101: training:  50%|█████     | 1/2 [03:28<03:28, 208.58s/it]             2026-04-25 14:47:35.074 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 102, train_steps: 4080
+Global Step 101: training: 100%|██████████| 2/2 [06:58<00:00, 209.44s/it]0, 10.17s/it]
+2026-04-25 14:47:35.727 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 102	train_steps 4080	{'step': '102/10000', 'learning_rate': '0.00001000', 'loss': '-3.166e-08', 'grad_norm': '0.00430755', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.17535400', 'grpo_loop_time': '418.88330078', 'ref_model_time': '113.55931854', 'approx_kl': '2.644e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.166e-08', 'kl_loss': '0.00075909', 'kl_moving': '0.00075909', 'kl_stepwise': '1.818e-09', 'gathered_avg_reward_mean': '-0.85982877', 'gathered_avg_reward_std': '0.58596021', 'gathered_videoalign_local_mq_reward_mean': '-0.75005621', 'gathered_videoalign_local_mq_reward_std': '0.35481632', 'gathered_videoalign_local_overall_reward_mean': '-1.80485058', 'gathered_videoalign_local_overall_reward_std': '0.69346732', 'gathered_videoalign_local_ta_reward_mean': '0.08519297', 'gathered_videoalign_local_ta_reward_std': '0.56963372', 'gathered_videoalign_local_vq_reward_mean': '-1.13998747', 'gathered_videoalign_local_vq_reward_std': '0.20504706', 'gathered_ori_avg_reward_mean': '-0.85982883', 'gathered_ori_avg_reward_std': '0.58596015'}
+2026-04-25 14:47:35.770 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 14:47:35.864 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:47:35.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.84s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.84s/it]
+2026-04-25 14:48:38.629 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000102/group_0/index_6375_seed_22232_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 14:48:39.230 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:48:39.231 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 14:49:41.388 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000102/group_0/index_6375_seed_22233_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 14:49:41.980 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 14:49:42.122 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 14:49:42.934 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-04-25 14:51:35.639 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.62s (1.88min)
+2026-04-25 14:51:36.397 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 102: training:  50%|█████     | 1/2 [03:28<03:28, 208.61s/it]             2026-04-25 14:58:34.916 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 103, train_steps: 4120
+Global Step 102: training: 100%|██████████| 2/2 [06:58<00:00, 209.25s/it]0, 10.16s/it]
+2026-04-25 14:58:35.556 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 103	train_steps 4120	{'step': '103/10000', 'learning_rate': '0.00001000', 'loss': '-1.434e-07', 'grad_norm': '0.00469765', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.53854370', 'grpo_loop_time': '418.50460815', 'ref_model_time': '112.62134552', 'approx_kl': '2.327e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.434e-07', 'kl_loss': '0.00077356', 'kl_moving': '0.00077356', 'kl_stepwise': '1.270e-09', 'gathered_avg_reward_mean': '-1.02994609', 'gathered_avg_reward_std': '0.73764032', 'gathered_videoalign_local_mq_reward_mean': '-0.88304234', 'gathered_videoalign_local_mq_reward_std': '0.29418534', 'gathered_videoalign_local_overall_reward_mean': '-2.04307342', 'gathered_videoalign_local_overall_reward_std': '0.97283548', 'gathered_videoalign_local_ta_reward_mean': '-0.01681879', 'gathered_videoalign_local_ta_reward_std': '0.56001478', 'gathered_videoalign_local_vq_reward_mean': '-1.14321208', 'gathered_videoalign_local_vq_reward_std': '0.39080060', 'gathered_ori_avg_reward_mean': '-1.02994609', 'gathered_ori_avg_reward_std': '0.73764032'}
+2026-04-25 14:58:35.597 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 14:58:35.693 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:58:35.746 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 14:59:38.478 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000103/group_0/index_6280_seed_31269_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 14:59:39.054 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 14:59:39.057 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 15:00:40.903 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000103/group_0/index_6280_seed_31270_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 15:00:41.455 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 15:00:41.595 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 15:00:42.489 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.11s/it]
+2026-04-25 15:02:35.540 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.02s (1.88min)
+2026-04-25 15:02:36.297 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 103: training:  50%|█████     | 1/2 [03:27<03:27, 207.67s/it]             2026-04-25 15:09:34.437 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 104, train_steps: 4160
+Global Step 103: training: 100%|██████████| 2/2 [06:58<00:00, 209.06s/it]0, 10.18s/it]
+2026-04-25 15:09:35.083 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 104	train_steps 4160	{'step': '104/10000', 'learning_rate': '0.00001000', 'loss': '5.960e-08', 'grad_norm': '0.00271489', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.61798096', 'grpo_loop_time': '418.12500000', 'ref_model_time': '113.02218628', 'approx_kl': '2.451e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.960e-08', 'kl_loss': '0.00071167', 'kl_moving': '0.00071167', 'kl_stepwise': '1.465e-09', 'gathered_avg_reward_mean': '-1.07859230', 'gathered_avg_reward_std': '0.81761152', 'gathered_videoalign_local_mq_reward_mean': '-0.58403945', 'gathered_videoalign_local_mq_reward_std': '0.50585127', 'gathered_videoalign_local_overall_reward_mean': '-1.93065989', 'gathered_videoalign_local_overall_reward_std': '1.09401488', 'gathered_videoalign_local_ta_reward_mean': '-0.22652465', 'gathered_videoalign_local_ta_reward_std': '0.63696355', 'gathered_videoalign_local_vq_reward_mean': '-1.12009573', 'gathered_videoalign_local_vq_reward_std': '0.30521894', 'gathered_ori_avg_reward_mean': '-1.07859230', 'gathered_ori_avg_reward_std': '0.81761146'}
+2026-04-25 15:09:35.127 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 15:09:35.220 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:09:35.263 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 15:10:38.101 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000104/group_0/index_9442_seed_23321_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 15:10:39.286 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:10:39.290 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 15:11:41.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000104/group_0/index_9442_seed_23322_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 15:11:42.182 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 15:11:42.281 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 15:11:43.224 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.60s/it]
+2026-04-25 15:13:36.086 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.85s (1.88min)
+2026-04-25 15:13:36.859 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 104: training:  50%|█████     | 1/2 [03:28<03:28, 208.25s/it]             2026-04-25 15:20:35.317 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 105, train_steps: 4200
+Global Step 104: training: 100%|██████████| 2/2 [06:58<00:00, 209.22s/it]0, 10.17s/it]
+2026-04-25 15:20:35.945 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 105	train_steps 4200	{'step': '105/10000', 'learning_rate': '0.00001000', 'loss': '-1.162e-07', 'grad_norm': '0.00340568', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.64831543', 'grpo_loop_time': '418.43386841', 'ref_model_time': '112.85484314', 'approx_kl': '2.274e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.162e-07', 'kl_loss': '0.00073508', 'kl_moving': '0.00073508', 'kl_stepwise': '1.451e-09', 'gathered_avg_reward_mean': '-0.43919826', 'gathered_avg_reward_std': '0.74645346', 'gathered_videoalign_local_mq_reward_mean': '-0.71311629', 'gathered_videoalign_local_mq_reward_std': '0.50073504', 'gathered_videoalign_local_overall_reward_mean': '-1.33295953', 'gathered_videoalign_local_overall_reward_std': '0.89521241', 'gathered_videoalign_local_ta_reward_mean': '0.45456302', 'gathered_videoalign_local_ta_reward_std': '0.74661422', 'gathered_videoalign_local_vq_reward_mean': '-1.07440639', 'gathered_videoalign_local_vq_reward_std': '0.24749044', 'gathered_ori_avg_reward_mean': '-0.43919829', 'gathered_ori_avg_reward_std': '0.74645346'}
+2026-04-25 15:20:35.987 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 15:20:36.081 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:20:36.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 15:21:38.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000105/group_0/index_7083_seed_17328_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 15:21:39.391 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:21:39.392 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 15:22:41.520 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000105/group_0/index_7083_seed_17329_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 15:22:42.164 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 15:22:42.304 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 15:22:43.239 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-25 15:24:36.025 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.78s (1.88min)
+2026-04-25 15:24:36.780 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 105: training:  50%|█████     | 1/2 [03:27<03:27, 207.82s/it]             2026-04-25 15:31:34.972 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 106, train_steps: 4240
+Global Step 105: training: 100%|██████████| 2/2 [06:58<00:00, 209.09s/it]0, 10.17s/it]
+2026-04-25 15:31:35.613 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 106	train_steps 4240	{'step': '106/10000', 'learning_rate': '0.00001000', 'loss': '2.962e-07', 'grad_norm': '0.00521838', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.71124268', 'grpo_loop_time': '418.17913818', 'ref_model_time': '112.78282166', 'approx_kl': '2.270e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.962e-07', 'kl_loss': '0.00076281', 'kl_moving': '0.00076281', 'kl_stepwise': '1.219e-09', 'gathered_avg_reward_mean': '-0.92078525', 'gathered_avg_reward_std': '0.92379141', 'gathered_videoalign_local_mq_reward_mean': '-0.79648179', 'gathered_videoalign_local_mq_reward_std': '0.39540470', 'gathered_videoalign_local_overall_reward_mean': '-1.91882157', 'gathered_videoalign_local_overall_reward_std': '1.06138933', 'gathered_videoalign_local_ta_reward_mean': '0.07725105', 'gathered_videoalign_local_ta_reward_std': '0.84682703', 'gathered_videoalign_local_vq_reward_mean': '-1.19959080', 'gathered_videoalign_local_vq_reward_std': '0.23182909', 'gathered_ori_avg_reward_mean': '-0.92078519', 'gathered_ori_avg_reward_std': '0.92379147'}
+2026-04-25 15:31:35.654 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 15:31:35.747 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:31:35.809 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 15:32:38.572 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000106/group_0/index_6976_seed_24611_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 15:32:39.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:32:39.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 15:33:41.153 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000106/group_0/index_6976_seed_24612_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 15:33:41.777 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 15:33:41.822 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 15:33:42.816 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-04-25 15:35:36.017 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.19s (1.89min)
+2026-04-25 15:35:36.791 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 106: training:  50%|█████     | 1/2 [03:27<03:27, 207.86s/it]             2026-04-25 15:42:35.142 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 107, train_steps: 4280
+Global Step 106: training: 100%|██████████| 2/2 [06:58<00:00, 209.17s/it]0, 10.17s/it]
+2026-04-25 15:42:35.781 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 107	train_steps 4280	{'step': '107/10000', 'learning_rate': '0.00001000', 'loss': '-4.843e-08', 'grad_norm': '0.00323511', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.05369568', 'grpo_loop_time': '418.33370972', 'ref_model_time': '113.19041443', 'approx_kl': '2.586e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.843e-08', 'kl_loss': '0.00070862', 'kl_moving': '0.00070862', 'kl_stepwise': '9.168e-10', 'gathered_avg_reward_mean': '-0.64023042', 'gathered_avg_reward_std': '1.00750387', 'gathered_videoalign_local_mq_reward_mean': '-0.53967535', 'gathered_videoalign_local_mq_reward_std': '0.77293378', 'gathered_videoalign_local_overall_reward_mean': '-1.40859485', 'gathered_videoalign_local_overall_reward_std': '1.55617499', 'gathered_videoalign_local_ta_reward_mean': '0.12813392', 'gathered_videoalign_local_ta_reward_std': '0.67442805', 'gathered_videoalign_local_vq_reward_mean': '-0.99705333', 'gathered_videoalign_local_vq_reward_std': '0.55399054', 'gathered_ori_avg_reward_mean': '-0.64023042', 'gathered_ori_avg_reward_std': '1.00750387'}
+2026-04-25 15:42:35.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 15:42:35.924 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:42:35.967 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 15:43:38.687 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000107/group_0/index_6620_seed_1567_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 15:43:39.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:43:39.268 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 15:44:41.160 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000107/group_0/index_6620_seed_1568_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 15:44:41.895 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 15:44:42.020 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 15:44:42.921 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.33s/it]
+2026-04-25 15:46:36.637 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.69s (1.89min)
+2026-04-25 15:46:37.397 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 107: training:  50%|█████     | 1/2 [03:28<03:28, 208.05s/it]             2026-04-25 15:53:35.818 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 108, train_steps: 4320
+Global Step 107: training: 100%|██████████| 2/2 [06:58<00:00, 209.20s/it]0, 10.18s/it]
+2026-04-25 15:53:36.447 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 108	train_steps 4320	{'step': '108/10000', 'learning_rate': '0.00001000', 'loss': '1.241e-07', 'grad_norm': '0.00269550', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.48126221', 'grpo_loop_time': '418.39694214', 'ref_model_time': '113.69065094', 'approx_kl': '2.246e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.241e-07', 'kl_loss': '0.00075527', 'kl_moving': '0.00075527', 'kl_stepwise': '1.298e-09', 'gathered_avg_reward_mean': '-0.79795629', 'gathered_avg_reward_std': '0.97887319', 'gathered_videoalign_local_mq_reward_mean': '-0.61024082', 'gathered_videoalign_local_mq_reward_std': '0.48167896', 'gathered_videoalign_local_overall_reward_mean': '-1.67120171', 'gathered_videoalign_local_overall_reward_std': '1.23824334', 'gathered_videoalign_local_ta_reward_mean': '0.07528912', 'gathered_videoalign_local_ta_reward_std': '0.79462767', 'gathered_videoalign_local_vq_reward_mean': '-1.13625014', 'gathered_videoalign_local_vq_reward_std': '0.27750883', 'gathered_ori_avg_reward_mean': '-0.79795635', 'gathered_ori_avg_reward_std': '0.97887325'}
+2026-04-25 15:53:36.497 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 15:53:36.586 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:53:36.607 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 15:54:39.866 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000108/group_0/index_3393_seed_27727_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 15:54:40.456 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 15:54:40.459 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 15:55:42.127 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000108/group_0/index_3393_seed_27728_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 15:55:42.761 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 15:55:42.906 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 15:55:43.735 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.12s/it]
+2026-04-25 15:57:36.492 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.69s (1.88min)
+2026-04-25 15:57:37.250 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 108: training:  50%|█████     | 1/2 [03:28<03:28, 208.40s/it]             2026-04-25 16:04:35.502 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 109, train_steps: 4360
+Global Step 108: training: 100%|██████████| 2/2 [06:58<00:00, 209.13s/it]0, 10.17s/it]
+2026-04-25 16:04:36.111 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 109	train_steps 4360	{'step': '109/10000', 'learning_rate': '0.00001000', 'loss': '-7.590e-08', 'grad_norm': '0.00431804', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.67103577', 'grpo_loop_time': '418.25805664', 'ref_model_time': '112.68688202', 'approx_kl': '2.592e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.590e-08', 'kl_loss': '0.00078253', 'kl_moving': '0.00078253', 'kl_stepwise': '1.198e-09', 'gathered_avg_reward_mean': '-0.96442688', 'gathered_avg_reward_std': '0.61985654', 'gathered_videoalign_local_mq_reward_mean': '-0.77095306', 'gathered_videoalign_local_mq_reward_std': '0.31117794', 'gathered_videoalign_local_overall_reward_mean': '-1.89811313', 'gathered_videoalign_local_overall_reward_std': '0.73176402', 'gathered_videoalign_local_ta_reward_mean': '-0.03074068', 'gathered_videoalign_local_ta_reward_std': '0.59285271', 'gathered_videoalign_local_vq_reward_mean': '-1.09641945', 'gathered_videoalign_local_vq_reward_std': '0.26701561', 'gathered_ori_avg_reward_mean': '-0.96442688', 'gathered_ori_avg_reward_std': '0.61985654'}
+2026-04-25 16:04:36.169 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 16:04:36.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:04:36.270 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 16:05:39.043 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000109/group_0/index_8829_seed_14580_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 16:05:40.186 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:05:40.189 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 16:06:42.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000109/group_0/index_8829_seed_14581_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 16:06:42.634 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 16:06:42.774 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 16:06:43.575 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-25 16:08:36.354 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.69s (1.88min)
+2026-04-25 16:08:37.107 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 109: training:  50%|█████     | 1/2 [03:28<03:28, 208.06s/it]             2026-04-25 16:15:35.487 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 110, train_steps: 4400
+Global Step 109: training: 100%|██████████| 2/2 [06:58<00:00, 209.19s/it]0, 10.19s/it]
+2026-04-25 16:15:36.061 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 110	train_steps 4400	{'step': '110/10000', 'learning_rate': '0.00001000', 'loss': '6.519e-08', 'grad_norm': '0.00362356', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.85594177', 'grpo_loop_time': '418.37542725', 'ref_model_time': '112.69094849', 'approx_kl': '2.365e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.519e-08', 'kl_loss': '0.00075625', 'kl_moving': '0.00075625', 'kl_stepwise': '1.189e-09', 'gathered_avg_reward_mean': '-0.65381938', 'gathered_avg_reward_std': '0.70896620', 'gathered_videoalign_local_mq_reward_mean': '-0.61743325', 'gathered_videoalign_local_mq_reward_std': '0.57685494', 'gathered_videoalign_local_overall_reward_mean': '-1.41150045', 'gathered_videoalign_local_overall_reward_std': '1.05330014', 'gathered_videoalign_local_ta_reward_mean': '0.10386176', 'gathered_videoalign_local_ta_reward_std': '0.62453270', 'gathered_videoalign_local_vq_reward_mean': '-0.89792895', 'gathered_videoalign_local_vq_reward_std': '0.46850798', 'gathered_ori_avg_reward_mean': '-0.65381932', 'gathered_ori_avg_reward_std': '0.70896620'}
+2026-04-25 16:16:10.739 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=110 (missing=0, unexpected=0)
+2026-04-25 16:16:12.653 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 16:16:12.798 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:16:12.852 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-04-25 16:17:17.045 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000110/group_0/index_1911_seed_6899_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 16:17:17.656 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:17:17.659 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 16:18:19.486 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000110/group_0/index_1911_seed_6900_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 16:18:20.115 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 16:18:20.163 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 16:18:21.165 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-04-25 16:20:15.120 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.79s (1.90min)
+2026-04-25 16:20:15.861 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 110: training:  50%|█████     | 1/2 [03:27<03:27, 207.57s/it]             2026-04-25 16:27:14.805 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 111, train_steps: 4440
+Global Step 110: training: 100%|██████████| 2/2 [06:58<00:00, 209.46s/it]0, 10.23s/it]
+2026-04-25 16:27:15.463 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 111	train_steps 4440	{'step': '111/10000', 'learning_rate': '0.00001000', 'loss': '-4.563e-08', 'grad_norm': '0.00494879', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.12631226', 'grpo_loop_time': '418.92941284', 'ref_model_time': '113.79268646', 'approx_kl': '2.329e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.563e-08', 'kl_loss': '0.00074987', 'kl_moving': '0.00074987', 'kl_stepwise': '9.517e-10', 'gathered_avg_reward_mean': '-1.28575253', 'gathered_avg_reward_std': '0.65759492', 'gathered_videoalign_local_mq_reward_mean': '-0.85212839', 'gathered_videoalign_local_mq_reward_std': '0.23280780', 'gathered_videoalign_local_overall_reward_mean': '-2.30943155', 'gathered_videoalign_local_overall_reward_std': '0.75588298', 'gathered_videoalign_local_ta_reward_mean': '-0.26207343', 'gathered_videoalign_local_ta_reward_std': '0.61788756', 'gathered_videoalign_local_vq_reward_mean': '-1.19522977', 'gathered_videoalign_local_vq_reward_std': '0.26130000', 'gathered_ori_avg_reward_mean': '-1.28575253', 'gathered_ori_avg_reward_std': '0.65759498'}
+2026-04-25 16:27:15.619 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 16:27:15.706 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:27:15.728 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 16:28:18.632 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000111/group_0/index_1325_seed_9876_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 16:28:19.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:28:19.236 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 16:29:20.928 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000111/group_0/index_1325_seed_9877_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 16:29:21.515 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 16:29:21.655 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 16:29:22.666 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.28s/it]
+2026-04-25 16:31:15.390 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.62s (1.88min)
+2026-04-25 16:31:16.177 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 111: training:  50%|█████     | 1/2 [03:26<03:26, 206.88s/it]             2026-04-25 16:38:14.314 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 112, train_steps: 4480
+Global Step 111: training: 100%|██████████| 2/2 [06:58<00:00, 209.06s/it]0, 10.22s/it]
+2026-04-25 16:38:14.949 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 112	train_steps 4480	{'step': '112/10000', 'learning_rate': '0.00001000', 'loss': '-3.888e-08', 'grad_norm': '0.00333605', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.47549438', 'grpo_loop_time': '418.12115479', 'ref_model_time': '112.61588287', 'approx_kl': '2.360e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.888e-08', 'kl_loss': '0.00067849', 'kl_moving': '0.00067849', 'kl_stepwise': '8.600e-10', 'gathered_avg_reward_mean': '-0.73962033', 'gathered_avg_reward_std': '0.62316877', 'gathered_videoalign_local_mq_reward_mean': '-0.74037343', 'gathered_videoalign_local_mq_reward_std': '0.56438243', 'gathered_videoalign_local_overall_reward_mean': '-1.66956115', 'gathered_videoalign_local_overall_reward_std': '0.91305655', 'gathered_videoalign_local_ta_reward_mean': '0.19032076', 'gathered_videoalign_local_ta_reward_std': '0.52566189', 'gathered_videoalign_local_vq_reward_mean': '-1.11950850', 'gathered_videoalign_local_vq_reward_std': '0.31655994', 'gathered_ori_avg_reward_mean': '-0.73962027', 'gathered_ori_avg_reward_std': '0.62316877'}
+2026-04-25 16:38:14.995 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 16:38:15.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:38:15.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 16:39:17.867 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000112/group_0/index_3774_seed_17673_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 16:39:18.457 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:39:18.460 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 16:40:20.485 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000112/group_0/index_3774_seed_17674_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 16:40:21.069 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 16:40:21.212 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 16:40:22.173 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-25 16:42:15.241 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.90s (1.88min)
+2026-04-25 16:42:15.990 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 112: training:  50%|█████     | 1/2 [03:26<03:26, 206.02s/it]             2026-04-25 16:49:13.436 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 113, train_steps: 4520
+Global Step 112: training: 100%|██████████| 2/2 [06:57<00:00, 208.72s/it]0, 10.21s/it]
+2026-04-25 16:49:14.055 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 113	train_steps 4520	{'step': '113/10000', 'learning_rate': '0.00001000', 'loss': '9.313e-09', 'grad_norm': '0.00326908', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.91317749', 'grpo_loop_time': '417.43487549', 'ref_model_time': '112.89548492', 'approx_kl': '2.704e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.313e-09', 'kl_loss': '0.00074103', 'kl_moving': '0.00074103', 'kl_stepwise': '1.489e-09', 'gathered_avg_reward_mean': '-0.66415864', 'gathered_avg_reward_std': '0.83839476', 'gathered_videoalign_local_mq_reward_mean': '-0.85980642', 'gathered_videoalign_local_mq_reward_std': '0.33165702', 'gathered_videoalign_local_overall_reward_mean': '-1.67573285', 'gathered_videoalign_local_overall_reward_std': '1.02561164', 'gathered_videoalign_local_ta_reward_mean': '0.34741563', 'gathered_videoalign_local_ta_reward_std': '0.68734711', 'gathered_videoalign_local_vq_reward_mean': '-1.16334212', 'gathered_videoalign_local_vq_reward_std': '0.22324388', 'gathered_ori_avg_reward_mean': '-0.66415864', 'gathered_ori_avg_reward_std': '0.83839482'}
+2026-04-25 16:49:14.104 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 16:49:14.198 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:49:14.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 16:50:17.213 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000113/group_0/index_8651_seed_3481_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 16:50:17.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 16:50:17.811 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 16:51:20.248 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000113/group_0/index_8651_seed_3482_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 16:51:20.908 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 16:51:21.023 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 16:51:22.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.02s/it]
+2026-04-25 16:53:15.780 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.36s (1.89min)
+2026-04-25 16:53:16.519 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 113: training:  50%|█████     | 1/2 [03:26<03:26, 206.78s/it]             2026-04-25 17:00:13.976 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 114, train_steps: 4560
+Global Step 113: training: 100%|██████████| 2/2 [06:57<00:00, 208.72s/it]0, 10.19s/it]
+2026-04-25 17:00:14.608 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 114	train_steps 4560	{'step': '114/10000', 'learning_rate': '0.00001000', 'loss': '2.328e-08', 'grad_norm': '0.00347816', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.33282471', 'grpo_loop_time': '417.44561768', 'ref_model_time': '113.36386108', 'approx_kl': '2.507e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.328e-08', 'kl_loss': '0.00070261', 'kl_moving': '0.00070261', 'kl_stepwise': '1.545e-09', 'gathered_avg_reward_mean': '-0.85013711', 'gathered_avg_reward_std': '0.66553253', 'gathered_videoalign_local_mq_reward_mean': '-0.71618938', 'gathered_videoalign_local_mq_reward_std': '0.33730328', 'gathered_videoalign_local_overall_reward_mean': '-1.79217005', 'gathered_videoalign_local_overall_reward_std': '0.79856837', 'gathered_videoalign_local_ta_reward_mean': '0.09189574', 'gathered_videoalign_local_ta_reward_std': '0.59877527', 'gathered_videoalign_local_vq_reward_mean': '-1.16787624', 'gathered_videoalign_local_vq_reward_std': '0.27480888', 'gathered_ori_avg_reward_mean': '-0.85013705', 'gathered_ori_avg_reward_std': '0.66553253'}
+2026-04-25 17:00:14.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 17:00:14.756 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:00:14.785 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 17:01:17.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000114/group_0/index_3140_seed_9372_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 17:01:18.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:01:18.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 17:02:20.535 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000114/group_0/index_3140_seed_9373_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 17:02:21.210 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 17:02:21.258 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 17:02:22.511 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.10s/it]
+2026-04-25 17:04:15.783 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-04-25 17:04:16.557 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 114: training:  50%|█████     | 1/2 [03:26<03:26, 206.85s/it]             2026-04-25 17:11:15.040 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 115, train_steps: 4600
+Global Step 114: training: 100%|██████████| 2/2 [06:58<00:00, 209.23s/it]0, 10.20s/it]
+2026-04-25 17:11:15.681 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 115	train_steps 4600	{'step': '115/10000', 'learning_rate': '0.00001000', 'loss': '-2.567e-08', 'grad_norm': '0.00378006', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.81629944', 'grpo_loop_time': '418.45550537', 'ref_model_time': '113.14471436', 'approx_kl': '2.273e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.567e-08', 'kl_loss': '0.00075777', 'kl_moving': '0.00075777', 'kl_stepwise': '1.532e-09', 'gathered_avg_reward_mean': '-1.10390604', 'gathered_avg_reward_std': '0.81001896', 'gathered_videoalign_local_mq_reward_mean': '-0.72849953', 'gathered_videoalign_local_mq_reward_std': '0.39503852', 'gathered_videoalign_local_overall_reward_mean': '-2.00613976', 'gathered_videoalign_local_overall_reward_std': '0.95437378', 'gathered_videoalign_local_ta_reward_mean': '-0.20167239', 'gathered_videoalign_local_ta_reward_std': '0.76063740', 'gathered_videoalign_local_vq_reward_mean': '-1.07596791', 'gathered_videoalign_local_vq_reward_std': '0.29604247', 'gathered_ori_avg_reward_mean': '-1.10390615', 'gathered_ori_avg_reward_std': '0.81001896'}
+2026-04-25 17:11:15.725 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 17:11:15.821 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:11:15.850 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 17:12:18.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000115/group_0/index_9465_seed_28033_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 17:12:19.090 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:12:19.091 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 17:13:20.984 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000115/group_0/index_9465_seed_28034_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 17:13:21.575 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 17:13:21.711 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 17:13:22.811 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-25 17:15:17.226 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.32s (1.91min)
+2026-04-25 17:15:17.987 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 115: training:  50%|█████     | 1/2 [03:28<03:28, 208.13s/it]             2026-04-25 17:22:16.449 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 116, train_steps: 4640
+Global Step 115: training: 100%|██████████| 2/2 [06:58<00:00, 209.22s/it]0, 10.18s/it]
+2026-04-25 17:22:17.028 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 116	train_steps 4640	{'step': '116/10000', 'learning_rate': '0.00001000', 'loss': '7.334e-08', 'grad_norm': '0.00402882', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.17883301', 'grpo_loop_time': '418.44573975', 'ref_model_time': '114.32460785', 'approx_kl': '2.325e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.334e-08', 'kl_loss': '0.00079146', 'kl_moving': '0.00079146', 'kl_stepwise': '1.196e-09', 'gathered_avg_reward_mean': '-1.29497123', 'gathered_avg_reward_std': '0.50199628', 'gathered_videoalign_local_mq_reward_mean': '-0.75489861', 'gathered_videoalign_local_mq_reward_std': '0.37627113', 'gathered_videoalign_local_overall_reward_mean': '-2.21917582', 'gathered_videoalign_local_overall_reward_std': '0.67724174', 'gathered_videoalign_local_ta_reward_mean': '-0.37076667', 'gathered_videoalign_local_ta_reward_std': '0.47435451', 'gathered_videoalign_local_vq_reward_mean': '-1.09351039', 'gathered_videoalign_local_vq_reward_std': '0.31165686', 'gathered_ori_avg_reward_mean': '-1.29497123', 'gathered_ori_avg_reward_std': '0.50199628'}
+2026-04-25 17:22:17.104 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 17:22:17.188 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:22:17.214 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 17:23:19.948 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000116/group_0/index_6284_seed_23811_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 17:23:20.574 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:23:20.578 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 17:24:23.051 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000116/group_0/index_6284_seed_23812_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 17:24:23.671 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 17:24:23.766 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 17:24:24.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.30s/it]
+2026-04-25 17:26:18.247 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.52s (1.89min)
+2026-04-25 17:26:19.015 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 116: training:  50%|█████     | 1/2 [03:28<03:28, 208.65s/it]             2026-04-25 17:33:18.347 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 117, train_steps: 4680
+Global Step 116: training: 100%|██████████| 2/2 [06:59<00:00, 209.66s/it]0, 10.19s/it]
+2026-04-25 17:33:18.911 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 117	train_steps 4680	{'step': '117/10000', 'learning_rate': '0.00001000', 'loss': '1.481e-07', 'grad_norm': '0.00552419', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.82728577', 'grpo_loop_time': '419.32351685', 'ref_model_time': '113.52236176', 'approx_kl': '2.603e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.481e-07', 'kl_loss': '0.00079628', 'kl_moving': '0.00079628', 'kl_stepwise': '1.283e-09', 'gathered_avg_reward_mean': '-0.98163927', 'gathered_avg_reward_std': '0.61533892', 'gathered_videoalign_local_mq_reward_mean': '-0.85776836', 'gathered_videoalign_local_mq_reward_std': '0.54681093', 'gathered_videoalign_local_overall_reward_mean': '-1.96090388', 'gathered_videoalign_local_overall_reward_std': '0.88092989', 'gathered_videoalign_local_ta_reward_mean': '-0.00237454', 'gathered_videoalign_local_ta_reward_std': '0.53642434', 'gathered_videoalign_local_vq_reward_mean': '-1.10076094', 'gathered_videoalign_local_vq_reward_std': '0.29244897', 'gathered_ori_avg_reward_mean': '-0.98163915', 'gathered_ori_avg_reward_std': '0.61533892'}
+2026-04-25 17:33:19.007 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 17:33:19.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:33:19.107 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 17:34:21.855 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000117/group_0/index_9434_seed_29584_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 17:34:22.469 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:34:22.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 17:35:24.531 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000117/group_0/index_9434_seed_29585_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 17:35:25.150 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 17:35:25.195 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 17:35:26.050 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-25 17:37:20.172 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.98s (1.90min)
+2026-04-25 17:37:20.931 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 117: training:  50%|█████     | 1/2 [03:28<03:28, 208.36s/it]             2026-04-25 17:44:20.176 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 118, train_steps: 4720
+Global Step 117: training: 100%|██████████| 2/2 [06:59<00:00, 209.62s/it]0, 10.21s/it]
+2026-04-25 17:44:20.755 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 118	train_steps 4720	{'step': '118/10000', 'learning_rate': '0.00001000', 'loss': '-2.133e-07', 'grad_norm': '0.00340635', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.83599854', 'grpo_loop_time': '419.24490356', 'ref_model_time': '113.97787476', 'approx_kl': '2.706e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.133e-07', 'kl_loss': '0.00081482', 'kl_moving': '0.00081482', 'kl_stepwise': '2.336e-09', 'gathered_avg_reward_mean': '-0.89851177', 'gathered_avg_reward_std': '0.74340385', 'gathered_videoalign_local_mq_reward_mean': '-0.79863167', 'gathered_videoalign_local_mq_reward_std': '0.36286560', 'gathered_videoalign_local_overall_reward_mean': '-1.86214924', 'gathered_videoalign_local_overall_reward_std': '0.92041796', 'gathered_videoalign_local_ta_reward_mean': '0.06512560', 'gathered_videoalign_local_ta_reward_std': '0.63201976', 'gathered_videoalign_local_vq_reward_mean': '-1.12864304', 'gathered_videoalign_local_vq_reward_std': '0.22421673', 'gathered_ori_avg_reward_mean': '-0.89851183', 'gathered_ori_avg_reward_std': '0.74340385'}
+2026-04-25 17:44:20.849 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 17:44:20.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:44:20.953 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 17:45:24.243 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000118/group_0/index_5926_seed_8388_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 17:45:24.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:45:24.855 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 17:46:26.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000118/group_0/index_5926_seed_8389_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 17:46:27.740 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 17:46:28.105 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 17:46:29.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.33s/it]
+2026-04-25 17:48:22.219 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.12s (1.89min)
+2026-04-25 17:48:22.959 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 118: training:  50%|█████     | 1/2 [03:26<03:26, 206.87s/it]             2026-04-25 17:55:20.368 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 119, train_steps: 4760
+Global Step 118: training: 100%|██████████| 2/2 [06:57<00:00, 208.71s/it]0, 10.16s/it]
+2026-04-25 17:55:20.952 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 119	train_steps 4760	{'step': '119/10000', 'learning_rate': '0.00001000', 'loss': '-2.193e-07', 'grad_norm': '0.00381340', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.02764893', 'grpo_loop_time': '417.41555786', 'ref_model_time': '113.11865234', 'approx_kl': '2.316e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.193e-07', 'kl_loss': '0.00084407', 'kl_moving': '0.00084407', 'kl_stepwise': '1.139e-09', 'gathered_avg_reward_mean': '-1.00765634', 'gathered_avg_reward_std': '0.96417713', 'gathered_videoalign_local_mq_reward_mean': '-0.83858943', 'gathered_videoalign_local_mq_reward_std': '0.38711822', 'gathered_videoalign_local_overall_reward_mean': '-2.02110481', 'gathered_videoalign_local_overall_reward_std': '1.13280475', 'gathered_videoalign_local_ta_reward_mean': '0.00579213', 'gathered_videoalign_local_ta_reward_std': '0.86912268', 'gathered_videoalign_local_vq_reward_mean': '-1.18830752', 'gathered_videoalign_local_vq_reward_std': '0.24775001', 'gathered_ori_avg_reward_mean': '-1.00765634', 'gathered_ori_avg_reward_std': '0.96417713'}
+2026-04-25 17:55:21.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 17:55:21.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:55:21.140 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 17:56:23.761 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000119/group_0/index_4438_seed_5525_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 17:56:24.969 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 17:56:24.972 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 17:57:26.722 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000119/group_0/index_4438_seed_5526_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 17:57:27.418 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 17:57:27.702 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 17:57:28.655 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-04-25 17:59:21.503 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.83s (1.88min)
+2026-04-25 17:59:22.394 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 119: training:  50%|█████     | 1/2 [03:26<03:26, 206.20s/it]             2026-04-25 18:06:19.644 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 120, train_steps: 4800
+Global Step 119: training: 100%|██████████| 2/2 [06:57<00:00, 208.62s/it]0, 10.17s/it]
+2026-04-25 18:06:20.239 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 120	train_steps 4800	{'step': '120/10000', 'learning_rate': '0.00001000', 'loss': '-3.132e-08', 'grad_norm': '0.00330754', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.14062500', 'grpo_loop_time': '417.24804688', 'ref_model_time': '112.82855988', 'approx_kl': '2.308e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.132e-08', 'kl_loss': '0.00076138', 'kl_moving': '0.00076138', 'kl_stepwise': '2.002e-09', 'gathered_avg_reward_mean': '-0.83823645', 'gathered_avg_reward_std': '0.97629458', 'gathered_videoalign_local_mq_reward_mean': '-0.53732038', 'gathered_videoalign_local_mq_reward_std': '0.53957200', 'gathered_videoalign_local_overall_reward_mean': '-1.65306973', 'gathered_videoalign_local_overall_reward_std': '1.32065070', 'gathered_videoalign_local_ta_reward_mean': '-0.02340314', 'gathered_videoalign_local_ta_reward_std': '0.69663167', 'gathered_videoalign_local_vq_reward_mean': '-1.09234607', 'gathered_videoalign_local_vq_reward_std': '0.31147808', 'gathered_ori_avg_reward_mean': '-0.83823645', 'gathered_ori_avg_reward_std': '0.97629458'}
+2026-04-25 18:06:55.021 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=120 (missing=0, unexpected=0)
+2026-04-25 18:06:56.868 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 18:06:56.986 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:06:57.030 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-25 18:08:00.675 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000120/group_0/index_2546_seed_31193_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 18:08:01.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:08:01.257 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-25 18:09:04.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000120/group_0/index_2546_seed_31194_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 18:09:04.874 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 18:09:04.986 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 18:09:05.988 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-04-25 18:10:58.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.90s (1.88min)
+2026-04-25 18:10:59.656 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 120: training:  50%|█████     | 1/2 [03:29<03:29, 209.05s/it]             2026-04-25 18:17:59.222 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 121, train_steps: 4840
+Global Step 120: training: 100%|██████████| 2/2 [06:59<00:00, 209.78s/it]0, 10.17s/it]
+2026-04-25 18:17:59.874 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 121	train_steps 4840	{'step': '121/10000', 'learning_rate': '0.00001000', 'loss': '1.261e-07', 'grad_norm': '0.00284069', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.70606995', 'grpo_loop_time': '419.56683350', 'ref_model_time': '112.90164185', 'approx_kl': '2.511e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.261e-07', 'kl_loss': '0.00069132', 'kl_moving': '0.00069132', 'kl_stepwise': '1.448e-09', 'gathered_avg_reward_mean': '-0.98671263', 'gathered_avg_reward_std': '0.92341787', 'gathered_videoalign_local_mq_reward_mean': '-0.57973647', 'gathered_videoalign_local_mq_reward_std': '0.42520589', 'gathered_videoalign_local_overall_reward_mean': '-1.79157305', 'gathered_videoalign_local_overall_reward_std': '1.18583012', 'gathered_videoalign_local_ta_reward_mean': '-0.18185255', 'gathered_videoalign_local_ta_reward_std': '0.73696315', 'gathered_videoalign_local_vq_reward_mean': '-1.02998388', 'gathered_videoalign_local_vq_reward_std': '0.36941651', 'gathered_ori_avg_reward_mean': '-0.98671275', 'gathered_ori_avg_reward_std': '0.92341787'}
+2026-04-25 18:17:59.924 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 18:18:00.030 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:18:00.075 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 18:19:02.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000121/group_0/index_8306_seed_11615_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 18:19:03.453 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:19:03.456 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 18:20:05.597 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000121/group_0/index_8306_seed_11616_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 18:20:06.282 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 18:20:06.331 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 18:20:07.328 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.05s/it]
+2026-04-25 18:21:59.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.48s (1.87min)
+2026-04-25 18:22:00.630 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 121: training:  50%|█████     | 1/2 [03:28<03:28, 208.25s/it]             2026-04-25 18:28:59.224 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 122, train_steps: 4880
+Global Step 121: training: 100%|██████████| 2/2 [06:58<00:00, 209.25s/it]0, 10.16s/it]
+2026-04-25 18:28:59.799 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 122	train_steps 4880	{'step': '122/10000', 'learning_rate': '0.00001000', 'loss': '-2.305e-07', 'grad_norm': '0.00323942', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.55664062', 'grpo_loop_time': '418.49356079', 'ref_model_time': '112.47980499', 'approx_kl': '2.546e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.305e-07', 'kl_loss': '0.00069409', 'kl_moving': '0.00069409', 'kl_stepwise': '3.900e-10', 'gathered_avg_reward_mean': '-1.04670560', 'gathered_avg_reward_std': '0.67116731', 'gathered_videoalign_local_mq_reward_mean': '-0.73911154', 'gathered_videoalign_local_mq_reward_std': '0.30373770', 'gathered_videoalign_local_overall_reward_mean': '-2.01820040', 'gathered_videoalign_local_overall_reward_std': '0.79349488', 'gathered_videoalign_local_ta_reward_mean': '-0.07521079', 'gathered_videoalign_local_ta_reward_std': '0.60650152', 'gathered_videoalign_local_vq_reward_mean': '-1.20387793', 'gathered_videoalign_local_vq_reward_std': '0.21432185', 'gathered_ori_avg_reward_mean': '-1.04670548', 'gathered_ori_avg_reward_std': '0.67116731'}
+2026-04-25 18:28:59.884 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 18:28:59.974 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:28:59.989 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 18:30:02.578 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000122/group_0/index_6626_seed_32833_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 18:30:03.206 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:30:03.213 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 18:31:05.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000122/group_0/index_6626_seed_32834_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 18:31:06.208 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 18:31:06.326 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 18:31:07.169 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-04-25 18:33:00.333 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.08s (1.88min)
+2026-04-25 18:33:01.218 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 122: training:  50%|█████     | 1/2 [03:27<03:27, 207.82s/it]             2026-04-25 18:39:58.951 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 123, train_steps: 4920
+Global Step 122: training: 100%|██████████| 2/2 [06:57<00:00, 208.82s/it]0, 10.16s/it]
+2026-04-25 18:39:59.599 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 123	train_steps 4920	{'step': '123/10000', 'learning_rate': '0.00001000', 'loss': '-2.421e-08', 'grad_norm': '0.00402729', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.13037109', 'grpo_loop_time': '417.63470459', 'ref_model_time': '113.07997894', 'approx_kl': '2.517e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.421e-08', 'kl_loss': '0.00079808', 'kl_moving': '0.00079808', 'kl_stepwise': '3.594e-10', 'gathered_avg_reward_mean': '-1.11678720', 'gathered_avg_reward_std': '0.79656297', 'gathered_videoalign_local_mq_reward_mean': '-0.85575688', 'gathered_videoalign_local_mq_reward_std': '0.22597265', 'gathered_videoalign_local_overall_reward_mean': '-2.11632013', 'gathered_videoalign_local_overall_reward_std': '0.89695340', 'gathered_videoalign_local_ta_reward_mean': '-0.11725430', 'gathered_videoalign_local_ta_reward_std': '0.73022562', 'gathered_videoalign_local_vq_reward_mean': '-1.14330888', 'gathered_videoalign_local_vq_reward_std': '0.29201606', 'gathered_ori_avg_reward_mean': '-1.11678720', 'gathered_ori_avg_reward_std': '0.79656291'}
+2026-04-25 18:39:59.644 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 18:39:59.737 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:39:59.761 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 18:41:02.462 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000123/group_0/index_8544_seed_7706_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 18:41:03.029 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:41:03.033 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 18:42:05.085 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000123/group_0/index_8544_seed_7707_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 18:42:05.701 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 18:42:05.841 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 18:42:06.609 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-04-25 18:43:59.426 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.67s (1.88min)
+2026-04-25 18:44:00.341 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 123: training:  50%|█████     | 1/2 [03:28<03:28, 208.55s/it]             2026-04-25 18:50:59.011 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 124, train_steps: 4960
+Global Step 123: training: 100%|██████████| 2/2 [06:58<00:00, 209.34s/it]0, 10.17s/it]
+2026-04-25 18:50:59.654 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 124	train_steps 4960	{'step': '124/10000', 'learning_rate': '0.00001000', 'loss': '-1.416e-07', 'grad_norm': '0.00289607', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.46511841', 'grpo_loop_time': '418.68731689', 'ref_model_time': '112.66974640', 'approx_kl': '2.235e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.416e-07', 'kl_loss': '0.00068431', 'kl_moving': '0.00068431', 'kl_stepwise': '7.407e-10', 'gathered_avg_reward_mean': '-0.75859773', 'gathered_avg_reward_std': '0.59651858', 'gathered_videoalign_local_mq_reward_mean': '-0.68062842', 'gathered_videoalign_local_mq_reward_std': '0.33604395', 'gathered_videoalign_local_overall_reward_mean': '-1.68338978', 'gathered_videoalign_local_overall_reward_std': '0.69428170', 'gathered_videoalign_local_ta_reward_mean': '0.16619436', 'gathered_videoalign_local_ta_reward_std': '0.56669104', 'gathered_videoalign_local_vq_reward_mean': '-1.16895580', 'gathered_videoalign_local_vq_reward_std': '0.19567546', 'gathered_ori_avg_reward_mean': '-0.75859773', 'gathered_ori_avg_reward_std': '0.59651852'}
+2026-04-25 18:50:59.701 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 18:50:59.795 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:50:59.830 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 18:52:02.575 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000124/group_0/index_3437_seed_7978_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 18:52:03.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 18:52:03.650 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 18:53:05.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000124/group_0/index_3437_seed_7979_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 18:53:06.480 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 18:53:06.618 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 18:53:07.514 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-04-25 18:55:00.069 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.53s (1.88min)
+2026-04-25 18:55:00.964 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 124: training:  50%|█████     | 1/2 [03:28<03:28, 208.61s/it]             2026-04-25 19:02:01.025 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 125, train_steps: 5000
+Global Step 124: training: 100%|██████████| 2/2 [06:59<00:00, 209.99s/it]0, 10.20s/it]
+2026-04-25 19:02:01.757 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 125	train_steps 5000	{'step': '125/10000', 'learning_rate': '0.00001000', 'loss': '1.080e-07', 'grad_norm': '0.00386218', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.04359436', 'grpo_loop_time': '420.06793213', 'ref_model_time': '112.53494263', 'approx_kl': '2.526e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.080e-07', 'kl_loss': '0.00076655', 'kl_moving': '0.00076655', 'kl_stepwise': '9.532e-10', 'gathered_avg_reward_mean': '-0.79752219', 'gathered_avg_reward_std': '0.71837640', 'gathered_videoalign_local_mq_reward_mean': '-0.86624616', 'gathered_videoalign_local_mq_reward_std': '0.32598943', 'gathered_videoalign_local_overall_reward_mean': '-1.81296611', 'gathered_videoalign_local_overall_reward_std': '0.91756624', 'gathered_videoalign_local_ta_reward_mean': '0.21792153', 'gathered_videoalign_local_ta_reward_std': '0.57241559', 'gathered_videoalign_local_vq_reward_mean': '-1.16464138', 'gathered_videoalign_local_vq_reward_std': '0.27307588', 'gathered_ori_avg_reward_mean': '-0.79752225', 'gathered_ori_avg_reward_std': '0.71837640'}
+2026-04-25 19:02:01.794 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 19:02:01.892 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:02:01.907 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 19:03:04.552 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000125/group_0/index_5886_seed_33483_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 19:03:05.168 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:03:05.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-25 19:04:07.805 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000125/group_0/index_5886_seed_33484_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 19:04:08.471 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 19:04:08.518 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 19:04:09.482 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.05s/it]
+2026-04-25 19:06:01.885 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.37s (1.87min)
+2026-04-25 19:06:02.659 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 125: training:  50%|█████     | 1/2 [03:27<03:27, 207.38s/it]             2026-04-25 19:13:00.367 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 126, train_steps: 5040
+Global Step 125: training: 100%|██████████| 2/2 [06:57<00:00, 208.85s/it]0, 10.17s/it]
+2026-04-25 19:13:00.993 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 126	train_steps 5040	{'step': '126/10000', 'learning_rate': '0.00001000', 'loss': '-8.568e-08', 'grad_norm': '0.00371768', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.78279114', 'grpo_loop_time': '417.69775391', 'ref_model_time': '112.37017059', 'approx_kl': '2.517e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.568e-08', 'kl_loss': '0.00080340', 'kl_moving': '0.00080340', 'kl_stepwise': '8.833e-10', 'gathered_avg_reward_mean': '-0.97261083', 'gathered_avg_reward_std': '0.82916945', 'gathered_videoalign_local_mq_reward_mean': '-0.71540356', 'gathered_videoalign_local_mq_reward_std': '0.41445538', 'gathered_videoalign_local_overall_reward_mean': '-1.87461376', 'gathered_videoalign_local_overall_reward_std': '1.03379118', 'gathered_videoalign_local_ta_reward_mean': '-0.07060814', 'gathered_videoalign_local_ta_reward_std': '0.70480818', 'gathered_videoalign_local_vq_reward_mean': '-1.08860207', 'gathered_videoalign_local_vq_reward_std': '0.28623110', 'gathered_ori_avg_reward_mean': '-0.97261089', 'gathered_ori_avg_reward_std': '0.82916945'}
+2026-04-25 19:13:01.051 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 19:13:01.138 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:13:01.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 19:14:03.902 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000126/group_0/index_2872_seed_21573_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 19:14:04.508 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:14:04.513 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 19:15:06.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000126/group_0/index_2872_seed_21574_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 19:15:06.982 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 19:15:07.122 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 19:15:08.018 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-04-25 19:17:00.468 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.43s (1.87min)
+2026-04-25 19:17:01.261 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 126: training:  50%|█████     | 1/2 [03:27<03:27, 207.67s/it]             2026-04-25 19:23:59.183 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 127, train_steps: 5080
+Global Step 126: training: 100%|██████████| 2/2 [06:58<00:00, 209.17s/it]0, 10.16s/it]
+2026-04-25 19:24:00.291 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 127	train_steps 5080	{'step': '127/10000', 'learning_rate': '0.00001000', 'loss': '1.630e-08', 'grad_norm': '0.00294966', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.12377930', 'grpo_loop_time': '418.33593750', 'ref_model_time': '112.42610931', 'approx_kl': '2.333e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.630e-08', 'kl_loss': '0.00064669', 'kl_moving': '0.00064669', 'kl_stepwise': '9.662e-10', 'gathered_avg_reward_mean': '-0.61939377', 'gathered_avg_reward_std': '0.72783536', 'gathered_videoalign_local_mq_reward_mean': '-0.67309248', 'gathered_videoalign_local_mq_reward_std': '0.51424581', 'gathered_videoalign_local_overall_reward_mean': '-1.50160897', 'gathered_videoalign_local_overall_reward_std': '0.95404452', 'gathered_videoalign_local_ta_reward_mean': '0.26282138', 'gathered_videoalign_local_ta_reward_std': '0.65593880', 'gathered_videoalign_local_vq_reward_mean': '-1.09133792', 'gathered_videoalign_local_vq_reward_std': '0.36744797', 'gathered_ori_avg_reward_mean': '-0.61939383', 'gathered_ori_avg_reward_std': '0.72783542'}
+2026-04-25 19:24:00.628 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 19:24:00.725 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:24:00.818 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 19:25:04.583 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000127/group_0/index_9926_seed_3387_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 19:25:05.171 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:25:05.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 19:26:07.788 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000127/group_0/index_9926_seed_3388_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 19:26:08.789 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 19:26:08.942 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 19:26:10.299 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-25 19:28:03.831 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.00s (1.88min)
+2026-04-25 19:28:04.692 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 127: training:  50%|█████     | 1/2 [03:25<03:25, 205.26s/it]             2026-04-25 19:35:00.255 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 128, train_steps: 5120
+Global Step 127: training: 100%|██████████| 2/2 [06:55<00:00, 207.81s/it]0, 10.17s/it]
+2026-04-25 19:35:00.902 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 128	train_steps 5120	{'step': '128/10000', 'learning_rate': '0.00001000', 'loss': '9.220e-08', 'grad_norm': '0.00449283', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.94981384', 'grpo_loop_time': '415.61801147', 'ref_model_time': '112.99755859', 'approx_kl': '2.355e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.220e-08', 'kl_loss': '0.00074944', 'kl_moving': '0.00074944', 'kl_stepwise': '7.858e-10', 'gathered_avg_reward_mean': '-0.94074851', 'gathered_avg_reward_std': '0.71620476', 'gathered_videoalign_local_mq_reward_mean': '-0.87273979', 'gathered_videoalign_local_mq_reward_std': '0.36412579', 'gathered_videoalign_local_overall_reward_mean': '-1.98147130', 'gathered_videoalign_local_overall_reward_std': '0.86831820', 'gathered_videoalign_local_ta_reward_mean': '0.09997433', 'gathered_videoalign_local_ta_reward_std': '0.62883770', 'gathered_videoalign_local_vq_reward_mean': '-1.20870566', 'gathered_videoalign_local_vq_reward_std': '0.18989556', 'gathered_ori_avg_reward_mean': '-0.94074845', 'gathered_ori_avg_reward_std': '0.71620470'}
+2026-04-25 19:35:01.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 19:35:01.087 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:35:01.102 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 19:36:03.529 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000128/group_0/index_4166_seed_4476_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 19:36:04.163 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:36:04.167 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 19:37:05.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000128/group_0/index_4166_seed_4477_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 19:37:07.304 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 19:37:07.441 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 19:37:08.835 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.93s/it]
+2026-04-25 19:39:01.964 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.68s (1.88min)
+2026-04-25 19:39:02.935 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 128: training:  50%|█████     | 1/2 [03:26<03:26, 206.61s/it]             2026-04-25 19:45:59.785 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 129, train_steps: 5160
+Global Step 128: training: 100%|██████████| 2/2 [06:56<00:00, 208.38s/it]0, 10.17s/it]
+2026-04-25 19:46:00.435 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 129	train_steps 5160	{'step': '129/10000', 'learning_rate': '0.00001000', 'loss': '-1.136e-07', 'grad_norm': '0.00405881', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.77001953', 'grpo_loop_time': '416.76998901', 'ref_model_time': '112.67871094', 'approx_kl': '2.207e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.136e-07', 'kl_loss': '0.00085069', 'kl_moving': '0.00085069', 'kl_stepwise': '1.551e-09', 'gathered_avg_reward_mean': '-1.09189439', 'gathered_avg_reward_std': '0.87491262', 'gathered_videoalign_local_mq_reward_mean': '-0.77206612', 'gathered_videoalign_local_mq_reward_std': '0.40496013', 'gathered_videoalign_local_overall_reward_mean': '-2.07429790', 'gathered_videoalign_local_overall_reward_std': '1.05825603', 'gathered_videoalign_local_ta_reward_mean': '-0.10949101', 'gathered_videoalign_local_ta_reward_std': '0.74872643', 'gathered_videoalign_local_vq_reward_mean': '-1.19274068', 'gathered_videoalign_local_vq_reward_std': '0.24795668', 'gathered_ori_avg_reward_mean': '-1.09189439', 'gathered_ori_avg_reward_std': '0.87491262'}
+2026-04-25 19:46:00.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 19:46:00.574 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:46:00.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 19:47:03.255 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000129/group_0/index_9202_seed_27401_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 19:47:04.431 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:47:04.435 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 19:48:06.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000129/group_0/index_9202_seed_27402_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 19:48:07.170 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 19:48:07.220 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 19:48:08.206 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.19s/it]
+2026-04-25 19:50:00.778 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.54s (1.88min)
+2026-04-25 19:50:01.542 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 129: training:  50%|█████     | 1/2 [03:27<03:27, 207.27s/it]             2026-04-25 19:56:59.741 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 130, train_steps: 5200
+Global Step 129: training: 100%|██████████| 2/2 [06:58<00:00, 209.04s/it]0, 10.17s/it]
+2026-04-25 19:57:00.391 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 130	train_steps 5200	{'step': '130/10000', 'learning_rate': '0.00001000', 'loss': '4.843e-08', 'grad_norm': '0.00303925', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.97671509', 'grpo_loop_time': '418.09082031', 'ref_model_time': '112.54244995', 'approx_kl': '2.412e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.843e-08', 'kl_loss': '0.00074849', 'kl_moving': '0.00074849', 'kl_stepwise': '1.577e-09', 'gathered_avg_reward_mean': '-0.89944267', 'gathered_avg_reward_std': '0.76037729', 'gathered_videoalign_local_mq_reward_mean': '-0.77158725', 'gathered_videoalign_local_mq_reward_std': '0.49280235', 'gathered_videoalign_local_overall_reward_mean': '-1.81832361', 'gathered_videoalign_local_overall_reward_std': '1.00864267', 'gathered_videoalign_local_ta_reward_mean': '0.01943837', 'gathered_videoalign_local_ta_reward_std': '0.61551684', 'gathered_videoalign_local_vq_reward_mean': '-1.06617475', 'gathered_videoalign_local_vq_reward_std': '0.28708532', 'gathered_ori_avg_reward_mean': '-0.89944267', 'gathered_ori_avg_reward_std': '0.76037729'}
+2026-04-25 19:57:34.722 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=130 (missing=0, unexpected=0)
+2026-04-25 19:57:36.648 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 19:57:36.740 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:57:36.790 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-25 19:58:40.522 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000130/group_0/index_8496_seed_150_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 19:58:41.121 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 19:58:41.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 19:59:43.207 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000130/group_0/index_8496_seed_151_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 19:59:43.781 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 19:59:43.922 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 19:59:44.811 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.67s/it]
+2026-04-25 20:01:37.762 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.93s (1.88min)
+2026-04-25 20:01:38.507 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 130: training:  50%|█████     | 1/2 [03:27<03:27, 207.69s/it]             2026-04-25 20:08:36.471 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 131, train_steps: 5240
+Global Step 130: training: 100%|██████████| 2/2 [06:57<00:00, 208.98s/it]0, 10.17s/it]
+2026-04-25 20:08:37.101 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 131	train_steps 5240	{'step': '131/10000', 'learning_rate': '0.00001000', 'loss': '-2.328e-07', 'grad_norm': '0.00386512', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.77865601', 'grpo_loop_time': '417.95562744', 'ref_model_time': '112.92893219', 'approx_kl': '2.502e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.328e-07', 'kl_loss': '0.00071520', 'kl_moving': '0.00071520', 'kl_stepwise': '9.954e-10', 'gathered_avg_reward_mean': '-0.69993913', 'gathered_avg_reward_std': '0.88306767', 'gathered_videoalign_local_mq_reward_mean': '-0.72654784', 'gathered_videoalign_local_mq_reward_std': '0.42239234', 'gathered_videoalign_local_overall_reward_mean': '-1.60610116', 'gathered_videoalign_local_overall_reward_std': '1.05007505', 'gathered_videoalign_local_ta_reward_mean': '0.20622277', 'gathered_videoalign_local_ta_reward_std': '0.79249346', 'gathered_videoalign_local_vq_reward_mean': '-1.08577609', 'gathered_videoalign_local_vq_reward_std': '0.26316687', 'gathered_ori_avg_reward_mean': '-0.69993925', 'gathered_ori_avg_reward_std': '0.88306767'}
+2026-04-25 20:08:37.304 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 20:08:37.393 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:08:37.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 20:09:40.530 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000131/group_0/index_5465_seed_19254_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 20:09:41.196 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:09:41.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 20:10:42.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000131/group_0/index_5465_seed_19255_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 20:10:43.515 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 20:10:43.657 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 20:10:44.484 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-04-25 20:12:37.010 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.47s (1.87min)
+2026-04-25 20:12:37.764 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 131: training:  50%|█████     | 1/2 [03:28<03:28, 208.77s/it]             2026-04-25 20:19:36.748 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 132, train_steps: 5280
+Global Step 131: training: 100%|██████████| 2/2 [06:58<00:00, 209.49s/it]0, 10.17s/it]
+2026-04-25 20:19:37.408 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 132	train_steps 5280	{'step': '132/10000', 'learning_rate': '0.00001000', 'loss': '3.073e-08', 'grad_norm': '0.00462735', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.37779236', 'grpo_loop_time': '418.97509766', 'ref_model_time': '112.46713257', 'approx_kl': '2.528e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.980e-08', 'kl_loss': '0.00075008', 'kl_moving': '0.00075008', 'kl_stepwise': '4.569e-10', 'gathered_avg_reward_mean': '-0.97973216', 'gathered_avg_reward_std': '0.80274349', 'gathered_videoalign_local_mq_reward_mean': '-0.77378446', 'gathered_videoalign_local_mq_reward_std': '0.37925473', 'gathered_videoalign_local_overall_reward_mean': '-1.95604801', 'gathered_videoalign_local_overall_reward_std': '0.98100680', 'gathered_videoalign_local_ta_reward_mean': '-0.00341626', 'gathered_videoalign_local_ta_reward_std': '0.69303095', 'gathered_videoalign_local_vq_reward_mean': '-1.17884719', 'gathered_videoalign_local_vq_reward_std': '0.22584678', 'gathered_ori_avg_reward_mean': '-0.97973210', 'gathered_ori_avg_reward_std': '0.80274343'}
+2026-04-25 20:19:37.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 20:19:37.548 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:19:37.589 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 20:20:40.291 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000132/group_0/index_1410_seed_31397_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 20:20:40.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:20:40.913 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 20:21:43.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000132/group_0/index_1410_seed_31398_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 20:21:43.671 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 20:21:43.811 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 20:21:44.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-25 20:23:37.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.36s (1.87min)
+2026-04-25 20:23:37.821 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 132: training:  50%|█████     | 1/2 [03:28<03:28, 208.30s/it]             2026-04-25 20:30:36.714 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 133, train_steps: 5320
+Global Step 132: training: 100%|██████████| 2/2 [06:58<00:00, 209.38s/it]0, 10.17s/it]
+2026-04-25 20:30:37.261 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 133	train_steps 5320	{'step': '133/10000', 'learning_rate': '0.00001000', 'loss': '3.101e-07', 'grad_norm': '0.00391928', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.28622437', 'grpo_loop_time': '418.76794434', 'ref_model_time': '112.36238861', 'approx_kl': '2.313e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.101e-07', 'kl_loss': '0.00079413', 'kl_moving': '0.00079413', 'kl_stepwise': '8.033e-10', 'gathered_avg_reward_mean': '-1.38509560', 'gathered_avg_reward_std': '0.81328607', 'gathered_videoalign_local_mq_reward_mean': '-0.86044031', 'gathered_videoalign_local_mq_reward_std': '0.24217853', 'gathered_videoalign_local_overall_reward_mean': '-2.40953493', 'gathered_videoalign_local_overall_reward_std': '0.90492612', 'gathered_videoalign_local_ta_reward_mean': '-0.36065632', 'gathered_videoalign_local_ta_reward_std': '0.77979004', 'gathered_videoalign_local_vq_reward_mean': '-1.18843830', 'gathered_videoalign_local_vq_reward_std': '0.29372597', 'gathered_ori_avg_reward_mean': '-1.38509560', 'gathered_ori_avg_reward_std': '0.81328601'}
+2026-04-25 20:30:37.354 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 20:30:37.458 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:30:37.547 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 20:31:40.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000133/group_0/index_6838_seed_31328_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 20:31:41.075 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:31:41.079 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 20:32:42.893 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000133/group_0/index_6838_seed_31329_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 20:32:43.506 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 20:32:43.644 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 20:32:44.539 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.01s/it]
+2026-04-25 20:34:37.148 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.60s (1.88min)
+2026-04-25 20:34:37.916 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 133: training:  50%|█████     | 1/2 [03:28<03:28, 208.15s/it]             2026-04-25 20:41:36.746 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 134, train_steps: 5360
+Global Step 133: training: 100%|██████████| 2/2 [06:58<00:00, 209.40s/it]0, 10.18s/it]
+2026-04-25 20:41:37.300 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 134	train_steps 5360	{'step': '134/10000', 'learning_rate': '0.00001000', 'loss': '6.310e-08', 'grad_norm': '0.00513133', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.48060608', 'grpo_loop_time': '418.80645752', 'ref_model_time': '112.60180664', 'approx_kl': '2.309e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.310e-08', 'kl_loss': '0.00073879', 'kl_moving': '0.00073879', 'kl_stepwise': '8.949e-10', 'gathered_avg_reward_mean': '-0.79481381', 'gathered_avg_reward_std': '0.64569336', 'gathered_videoalign_local_mq_reward_mean': '-0.75641793', 'gathered_videoalign_local_mq_reward_std': '0.33563462', 'gathered_videoalign_local_overall_reward_mean': '-1.75379491', 'gathered_videoalign_local_overall_reward_std': '0.77075833', 'gathered_videoalign_local_ta_reward_mean': '0.16416711', 'gathered_videoalign_local_ta_reward_std': '0.59581316', 'gathered_videoalign_local_vq_reward_mean': '-1.16154385', 'gathered_videoalign_local_vq_reward_std': '0.22535931', 'gathered_ori_avg_reward_mean': '-0.79481381', 'gathered_ori_avg_reward_std': '0.64569336'}
+2026-04-25 20:41:37.402 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 20:41:37.491 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:41:37.515 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 20:42:40.623 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000134/group_0/index_8760_seed_24004_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 20:42:41.776 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:42:41.781 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 20:43:43.738 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000134/group_0/index_8760_seed_24005_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 20:43:44.397 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 20:43:44.536 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 20:43:45.430 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.31s/it]
+2026-04-25 20:45:38.708 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.27s (1.89min)
+2026-04-25 20:45:39.482 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 134: training:  50%|█████     | 1/2 [03:27<03:27, 207.15s/it]             2026-04-25 20:52:37.109 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 135, train_steps: 5400
+Global Step 134: training: 100%|██████████| 2/2 [06:57<00:00, 208.80s/it]0, 10.18s/it]
+2026-04-25 20:52:37.775 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 135	train_steps 5400	{'step': '135/10000', 'learning_rate': '0.00001000', 'loss': '-2.794e-09', 'grad_norm': '0.00281446', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.99746704', 'grpo_loop_time': '417.60742188', 'ref_model_time': '113.27490997', 'approx_kl': '2.324e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.794e-09', 'kl_loss': '0.00071700', 'kl_moving': '0.00071700', 'kl_stepwise': '9.517e-10', 'gathered_avg_reward_mean': '-0.94493735', 'gathered_avg_reward_std': '0.67804140', 'gathered_videoalign_local_mq_reward_mean': '-0.74053746', 'gathered_videoalign_local_mq_reward_std': '0.40890378', 'gathered_videoalign_local_overall_reward_mean': '-1.87159812', 'gathered_videoalign_local_overall_reward_std': '0.86406678', 'gathered_videoalign_local_ta_reward_mean': '-0.01827659', 'gathered_videoalign_local_ta_reward_std': '0.58612972', 'gathered_videoalign_local_vq_reward_mean': '-1.11278415', 'gathered_videoalign_local_vq_reward_std': '0.25851309', 'gathered_ori_avg_reward_mean': '-0.94493741', 'gathered_ori_avg_reward_std': '0.67804140'}
+2026-04-25 20:52:37.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 20:52:37.916 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:52:37.946 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 20:53:40.753 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000135/group_0/index_5260_seed_31378_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 20:53:41.340 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 20:53:41.340 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 20:54:43.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000135/group_0/index_5260_seed_31379_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 20:54:44.294 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 20:54:44.424 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 20:54:45.212 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-25 20:56:38.450 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.12s (1.89min)
+2026-04-25 20:56:39.217 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 135: training:  50%|█████     | 1/2 [03:26<03:26, 206.99s/it]             2026-04-25 21:03:36.737 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 136, train_steps: 5440
+Global Step 135: training: 100%|██████████| 2/2 [06:57<00:00, 208.75s/it]0, 10.17s/it]
+2026-04-25 21:03:37.396 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 136	train_steps 5440	{'step': '136/10000', 'learning_rate': '0.00001000', 'loss': '-2.934e-08', 'grad_norm': '0.00388736', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.32742310', 'grpo_loop_time': '417.49896240', 'ref_model_time': '113.12088776', 'approx_kl': '2.287e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.934e-08', 'kl_loss': '0.00081692', 'kl_moving': '0.00081692', 'kl_stepwise': '7.771e-10', 'gathered_avg_reward_mean': '-0.42510623', 'gathered_avg_reward_std': '0.80994225', 'gathered_videoalign_local_mq_reward_mean': '-0.74714565', 'gathered_videoalign_local_mq_reward_std': '0.34807083', 'gathered_videoalign_local_overall_reward_mean': '-1.34279323', 'gathered_videoalign_local_overall_reward_std': '0.86511719', 'gathered_videoalign_local_ta_reward_mean': '0.49258098', 'gathered_videoalign_local_ta_reward_std': '0.83655101', 'gathered_videoalign_local_vq_reward_mean': '-1.08822858', 'gathered_videoalign_local_vq_reward_std': '0.24196860', 'gathered_ori_avg_reward_mean': '-0.42510620', 'gathered_ori_avg_reward_std': '0.80994225'}
+2026-04-25 21:03:37.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 21:03:37.536 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:03:37.567 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 21:04:40.240 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000136/group_0/index_8451_seed_20629_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 21:04:40.847 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:04:40.850 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 21:05:42.579 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000136/group_0/index_8451_seed_20630_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 21:05:43.236 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 21:05:43.375 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 21:05:44.176 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-25 21:07:37.236 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.94s (1.88min)
+2026-04-25 21:07:38.004 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 136: training:  50%|█████     | 1/2 [03:28<03:28, 208.96s/it]             2026-04-25 21:14:37.705 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 137, train_steps: 5480
+Global Step 136: training: 100%|██████████| 2/2 [06:59<00:00, 209.85s/it]0, 10.18s/it]
+2026-04-25 21:14:38.343 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 137	train_steps 5480	{'step': '137/10000', 'learning_rate': '0.00001000', 'loss': '-4.377e-08', 'grad_norm': '0.00405597', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.48001099', 'grpo_loop_time': '419.70046997', 'ref_model_time': '112.93843842', 'approx_kl': '2.473e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.377e-08', 'kl_loss': '0.00082864', 'kl_moving': '0.00082864', 'kl_stepwise': '5.428e-10', 'gathered_avg_reward_mean': '-0.71284640', 'gathered_avg_reward_std': '0.92923898', 'gathered_videoalign_local_mq_reward_mean': '-0.76527727', 'gathered_videoalign_local_mq_reward_std': '0.65186566', 'gathered_videoalign_local_overall_reward_mean': '-1.65914130', 'gathered_videoalign_local_overall_reward_std': '1.25044072', 'gathered_videoalign_local_ta_reward_mean': '0.23344848', 'gathered_videoalign_local_ta_reward_std': '0.74202371', 'gathered_videoalign_local_vq_reward_mean': '-1.12731242', 'gathered_videoalign_local_vq_reward_std': '0.28873482', 'gathered_ori_avg_reward_mean': '-0.71284640', 'gathered_ori_avg_reward_std': '0.92923898'}
+2026-04-25 21:14:38.387 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 21:14:38.482 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:14:38.508 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 21:15:41.157 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000137/group_0/index_5609_seed_28072_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 21:15:41.744 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:15:41.747 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 21:16:43.649 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000137/group_0/index_5609_seed_28073_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 21:16:44.571 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 21:16:44.727 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 21:16:45.465 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-25 21:18:38.274 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.66s (1.88min)
+2026-04-25 21:18:39.014 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 137: training:  50%|█████     | 1/2 [03:27<03:27, 207.25s/it]             2026-04-25 21:25:36.907 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 138, train_steps: 5520
+Global Step 137: training: 100%|██████████| 2/2 [06:57<00:00, 208.90s/it]0, 10.18s/it]
+2026-04-25 21:25:37.533 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 138	train_steps 5520	{'step': '138/10000', 'learning_rate': '0.00001000', 'loss': '6.519e-07', 'grad_norm': '0.00311034', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.54435730', 'grpo_loop_time': '417.80126953', 'ref_model_time': '112.66307831', 'approx_kl': '2.377e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.519e-07', 'kl_loss': '0.00081500', 'kl_moving': '0.00081500', 'kl_stepwise': '1.262e-09', 'gathered_avg_reward_mean': '-0.77250797', 'gathered_avg_reward_std': '0.76184916', 'gathered_videoalign_local_mq_reward_mean': '-0.83889067', 'gathered_videoalign_local_mq_reward_std': '0.24920997', 'gathered_videoalign_local_overall_reward_mean': '-1.75460601', 'gathered_videoalign_local_overall_reward_std': '0.85320407', 'gathered_videoalign_local_ta_reward_mean': '0.20959011', 'gathered_videoalign_local_ta_reward_std': '0.71971714', 'gathered_videoalign_local_vq_reward_mean': '-1.12530541', 'gathered_videoalign_local_vq_reward_std': '0.24965696', 'gathered_ori_avg_reward_mean': '-0.77250791', 'gathered_ori_avg_reward_std': '0.76184916'}
+2026-04-25 21:25:37.581 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 21:25:37.677 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:25:37.704 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 21:26:40.506 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000138/group_0/index_4937_seed_20629_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 21:26:41.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:26:41.162 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 21:27:42.942 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000138/group_0/index_4937_seed_20630_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 21:27:43.610 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 21:27:43.752 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 21:27:44.566 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.34s/it]
+2026-04-25 21:29:36.921 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.27s (1.87min)
+2026-04-25 21:29:37.680 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 138: training:  50%|█████     | 1/2 [03:28<03:28, 208.80s/it]             2026-04-25 21:36:36.790 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 139, train_steps: 5560
+Global Step 138: training: 100%|██████████| 2/2 [06:59<00:00, 209.55s/it]0, 10.16s/it]
+2026-04-25 21:36:37.419 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 139	train_steps 5560	{'step': '139/10000', 'learning_rate': '0.00001000', 'loss': '-7.404e-08', 'grad_norm': '0.00351082', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.01577759', 'grpo_loop_time': '419.10534668', 'ref_model_time': '112.26704407', 'approx_kl': '2.511e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.404e-08', 'kl_loss': '0.00080657', 'kl_moving': '0.00080657', 'kl_stepwise': '1.356e-09', 'gathered_avg_reward_mean': '-1.01324773', 'gathered_avg_reward_std': '0.86315840', 'gathered_videoalign_local_mq_reward_mean': '-0.62389445', 'gathered_videoalign_local_mq_reward_std': '0.49811134', 'gathered_videoalign_local_overall_reward_mean': '-1.81355858', 'gathered_videoalign_local_overall_reward_std': '1.09364343', 'gathered_videoalign_local_ta_reward_mean': '-0.21293685', 'gathered_videoalign_local_ta_reward_std': '0.77273124', 'gathered_videoalign_local_vq_reward_mean': '-0.97672731', 'gathered_videoalign_local_vq_reward_std': '0.39614481', 'gathered_ori_avg_reward_mean': '-1.01324773', 'gathered_ori_avg_reward_std': '0.86315852'}
+2026-04-25 21:36:37.462 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 21:36:37.556 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:36:37.617 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-25 21:37:40.660 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000139/group_0/index_6887_seed_19194_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 21:37:41.682 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:37:41.685 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 21:38:43.701 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000139/group_0/index_6887_seed_19195_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 21:38:44.292 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 21:38:44.433 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 21:38:45.342 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 49.00s/it]
+2026-04-25 21:40:37.749 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.41s (1.87min)
+2026-04-25 21:40:38.523 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 139: training:  50%|█████     | 1/2 [03:27<03:27, 208.00s/it]             2026-04-25 21:47:38.311 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 140, train_steps: 5600
+Global Step 139: training: 100%|██████████| 2/2 [06:59<00:00, 209.92s/it]0, 10.20s/it]
+2026-04-25 21:47:38.925 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 140	train_steps 5600	{'step': '140/10000', 'learning_rate': '0.00001000', 'loss': '-3.539e-08', 'grad_norm': '0.00424459', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.97824097', 'grpo_loop_time': '419.83425903', 'ref_model_time': '112.40622711', 'approx_kl': '2.393e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.539e-08', 'kl_loss': '0.00079239', 'kl_moving': '0.00079239', 'kl_stepwise': '9.808e-10', 'gathered_avg_reward_mean': '-0.52266967', 'gathered_avg_reward_std': '0.75099158', 'gathered_videoalign_local_mq_reward_mean': '-0.62782240', 'gathered_videoalign_local_mq_reward_std': '0.46678612', 'gathered_videoalign_local_overall_reward_mean': '-1.32248354', 'gathered_videoalign_local_overall_reward_std': '1.02571583', 'gathered_videoalign_local_ta_reward_mean': '0.27714416', 'gathered_videoalign_local_ta_reward_std': '0.57735252', 'gathered_videoalign_local_vq_reward_mean': '-0.97180533', 'gathered_videoalign_local_vq_reward_std': '0.31643748', 'gathered_ori_avg_reward_mean': '-0.52266967', 'gathered_ori_avg_reward_std': '0.75099158'}
+2026-04-25 21:48:13.625 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=140 (missing=0, unexpected=0)
+2026-04-25 21:48:15.722 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 21:48:15.893 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:48:15.963 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-25 21:49:19.956 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000140/group_0/index_9944_seed_13142_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 21:49:20.532 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:49:20.535 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 21:50:23.066 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000140/group_0/index_9944_seed_13143_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 21:50:23.715 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 21:50:23.852 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 21:50:24.737 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-25 21:52:18.242 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.48s (1.89min)
+2026-04-25 21:52:18.987 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 140: training:  50%|█████     | 1/2 [03:28<03:28, 208.34s/it]             2026-04-25 21:59:18.600 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 141, train_steps: 5640
+Global Step 140: training: 100%|██████████| 2/2 [06:59<00:00, 209.81s/it]0, 10.20s/it]
+2026-04-25 21:59:19.170 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 141	train_steps 5640	{'step': '141/10000', 'learning_rate': '0.00001000', 'loss': '-1.118e-08', 'grad_norm': '0.00345622', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.18040466', 'grpo_loop_time': '419.61471558', 'ref_model_time': '113.47678375', 'approx_kl': '2.319e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.118e-08', 'kl_loss': '0.00070484', 'kl_moving': '0.00070484', 'kl_stepwise': '4.831e-10', 'gathered_avg_reward_mean': '-0.84636533', 'gathered_avg_reward_std': '0.90216029', 'gathered_videoalign_local_mq_reward_mean': '-0.69939494', 'gathered_videoalign_local_mq_reward_std': '0.59979260', 'gathered_videoalign_local_overall_reward_mean': '-1.76047266', 'gathered_videoalign_local_overall_reward_std': '1.27996266', 'gathered_videoalign_local_ta_reward_mean': '0.06774204', 'gathered_videoalign_local_ta_reward_std': '0.62920982', 'gathered_videoalign_local_vq_reward_mean': '-1.12881958', 'gathered_videoalign_local_vq_reward_std': '0.35262433', 'gathered_ori_avg_reward_mean': '-0.84636521', 'gathered_ori_avg_reward_std': '0.90216029'}
+2026-04-25 21:59:19.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 21:59:19.561 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 21:59:19.577 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 22:00:22.550 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000141/group_0/index_2462_seed_16563_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 22:00:23.187 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:00:23.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-25 22:01:24.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000141/group_0/index_2462_seed_16564_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 22:01:25.569 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 22:01:25.713 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 22:01:26.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.76s/it]
+2026-04-25 22:03:19.920 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.32s (1.89min)
+2026-04-25 22:03:20.690 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 141: training:  50%|█████     | 1/2 [03:27<03:27, 207.81s/it]             2026-04-25 22:10:18.850 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 142, train_steps: 5680
+Global Step 141: training: 100%|██████████| 2/2 [06:58<00:00, 209.07s/it]0, 10.18s/it]
+2026-04-25 22:10:19.461 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 142	train_steps 5680	{'step': '142/10000', 'learning_rate': '0.00001000', 'loss': '2.701e-08', 'grad_norm': '0.00388264', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.13555908', 'grpo_loop_time': '418.14273071', 'ref_model_time': '113.31926727', 'approx_kl': '2.444e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.701e-08', 'kl_loss': '0.00074160', 'kl_moving': '0.00074160', 'kl_stepwise': '6.374e-10', 'gathered_avg_reward_mean': '-0.85190904', 'gathered_avg_reward_std': '0.73083705', 'gathered_videoalign_local_mq_reward_mean': '-0.55213416', 'gathered_videoalign_local_mq_reward_std': '0.45538107', 'gathered_videoalign_local_overall_reward_mean': '-1.68108916', 'gathered_videoalign_local_overall_reward_std': '0.98986351', 'gathered_videoalign_local_ta_reward_mean': '-0.02272891', 'gathered_videoalign_local_ta_reward_std': '0.57468295', 'gathered_videoalign_local_vq_reward_mean': '-1.10622597', 'gathered_videoalign_local_vq_reward_std': '0.34212667', 'gathered_ori_avg_reward_mean': '-0.85190904', 'gathered_ori_avg_reward_std': '0.73083705'}
+2026-04-25 22:10:19.514 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 22:10:19.603 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:10:19.617 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 22:11:22.459 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000142/group_0/index_7728_seed_5274_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 22:11:23.049 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:11:23.052 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 22:12:24.920 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000142/group_0/index_7728_seed_5275_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 22:12:25.511 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 22:12:25.651 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 22:12:26.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-04-25 22:14:20.308 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.73s (1.90min)
+2026-04-25 22:14:21.234 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 142: training:  50%|█████     | 1/2 [03:27<03:27, 207.02s/it]             2026-04-25 22:21:17.517 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 143, train_steps: 5720
+Global Step 142: training: 100%|██████████| 2/2 [06:56<00:00, 208.13s/it]0, 10.15s/it]
+2026-04-25 22:21:18.158 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 143	train_steps 5720	{'step': '143/10000', 'learning_rate': '0.00001000', 'loss': '4.657e-10', 'grad_norm': '0.00407844', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.45773315', 'grpo_loop_time': '416.26312256', 'ref_model_time': '113.73439789', 'approx_kl': '2.376e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.657e-10', 'kl_loss': '0.00079291', 'kl_moving': '0.00079291', 'kl_stepwise': '1.639e-09', 'gathered_avg_reward_mean': '-0.98064029', 'gathered_avg_reward_std': '0.85127473', 'gathered_videoalign_local_mq_reward_mean': '-0.74742866', 'gathered_videoalign_local_mq_reward_std': '0.35442767', 'gathered_videoalign_local_overall_reward_mean': '-1.97081137', 'gathered_videoalign_local_overall_reward_std': '1.04171455', 'gathered_videoalign_local_ta_reward_mean': '0.00953073', 'gathered_videoalign_local_ta_reward_std': '0.71663058', 'gathered_videoalign_local_vq_reward_mean': '-1.23291337', 'gathered_videoalign_local_vq_reward_std': '0.25740418', 'gathered_ori_avg_reward_mean': '-0.98064035', 'gathered_ori_avg_reward_std': '0.85127473'}
+2026-04-25 22:21:18.202 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 22:21:18.299 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:21:18.329 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 22:22:20.863 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000143/group_0/index_5308_seed_8721_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 22:22:21.465 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:22:21.469 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 22:23:23.804 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000143/group_0/index_5308_seed_8722_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 22:23:24.562 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 22:23:24.664 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 22:23:25.602 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.02s/it]
+2026-04-25 22:25:19.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.34s (1.91min)
+2026-04-25 22:25:20.705 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 143: training:  50%|█████     | 1/2 [03:27<03:27, 207.32s/it]             2026-04-25 22:32:17.528 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 144, train_steps: 5760
+Global Step 143: training: 100%|██████████| 2/2 [06:56<00:00, 208.36s/it]0, 10.16s/it]
+2026-04-25 22:32:18.141 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 144	train_steps 5760	{'step': '144/10000', 'learning_rate': '0.00001000', 'loss': '-1.234e-07', 'grad_norm': '0.00265111', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.41995239', 'grpo_loop_time': '416.72802734', 'ref_model_time': '114.33511353', 'approx_kl': '2.272e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.234e-07', 'kl_loss': '0.00071293', 'kl_moving': '0.00071293', 'kl_stepwise': '1.153e-09', 'gathered_avg_reward_mean': '-0.88125467', 'gathered_avg_reward_std': '0.65663832', 'gathered_videoalign_local_mq_reward_mean': '-0.61049157', 'gathered_videoalign_local_mq_reward_std': '0.39879212', 'gathered_videoalign_local_overall_reward_mean': '-1.72594392', 'gathered_videoalign_local_overall_reward_std': '0.71588612', 'gathered_videoalign_local_ta_reward_mean': '-0.03656538', 'gathered_videoalign_local_ta_reward_std': '0.69720882', 'gathered_videoalign_local_vq_reward_mean': '-1.07888710', 'gathered_videoalign_local_vq_reward_std': '0.21588227', 'gathered_ori_avg_reward_mean': '-0.88125467', 'gathered_ori_avg_reward_std': '0.65663826'}
+2026-04-25 22:32:18.186 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 22:32:18.281 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:32:18.310 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 22:33:21.051 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000144/group_0/index_5288_seed_8132_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 22:33:22.170 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:33:22.173 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 22:34:24.067 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000144/group_0/index_5288_seed_8133_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 22:34:24.704 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 22:34:24.842 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 22:34:25.619 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.28s/it]
+2026-04-25 22:36:20.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.43s (1.91min)
+2026-04-25 22:36:20.974 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 144: training:  50%|█████     | 1/2 [03:27<03:27, 207.03s/it]             2026-04-25 22:43:17.556 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 145, train_steps: 5800
+Global Step 144: training: 100%|██████████| 2/2 [06:56<00:00, 208.24s/it]0, 10.16s/it]
+2026-04-25 22:43:18.170 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 145	train_steps 5800	{'step': '145/10000', 'learning_rate': '0.00001000', 'loss': '4.889e-08', 'grad_norm': '0.00322240', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.70419312', 'grpo_loop_time': '416.47552490', 'ref_model_time': '114.43411255', 'approx_kl': '2.287e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.889e-08', 'kl_loss': '0.00071785', 'kl_moving': '0.00071785', 'kl_stepwise': '7.785e-10', 'gathered_avg_reward_mean': '-0.85526007', 'gathered_avg_reward_std': '0.75089139', 'gathered_videoalign_local_mq_reward_mean': '-0.85018820', 'gathered_videoalign_local_mq_reward_std': '0.21670428', 'gathered_videoalign_local_overall_reward_mean': '-1.85893238', 'gathered_videoalign_local_overall_reward_std': '0.81892967', 'gathered_videoalign_local_ta_reward_mean': '0.14841239', 'gathered_videoalign_local_ta_reward_std': '0.71129042', 'gathered_videoalign_local_vq_reward_mean': '-1.15715659', 'gathered_videoalign_local_vq_reward_std': '0.17860515', 'gathered_ori_avg_reward_mean': '-0.85526001', 'gathered_ori_avg_reward_std': '0.75089139'}
+2026-04-25 22:43:18.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 22:43:18.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:43:18.323 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 22:44:20.979 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000145/group_0/index_3878_seed_25920_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 22:44:21.542 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:44:21.545 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-25 22:45:24.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000145/group_0/index_3878_seed_25921_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 22:45:24.773 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 22:45:24.853 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 22:45:25.659 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.27s/it]
+2026-04-25 22:47:20.879 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.05s (1.92min)
+2026-04-25 22:47:21.809 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 145: training:  50%|█████     | 1/2 [03:26<03:26, 206.57s/it]             2026-04-25 22:54:18.014 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 146, train_steps: 5840
+Global Step 145: training: 100%|██████████| 2/2 [06:56<00:00, 208.10s/it]0, 10.18s/it]
+2026-04-25 22:54:18.579 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 146	train_steps 5840	{'step': '146/10000', 'learning_rate': '0.00001000', 'loss': '-4.563e-08', 'grad_norm': '0.00280924', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.34811401', 'grpo_loop_time': '416.19851685', 'ref_model_time': '115.05141449', 'approx_kl': '2.330e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.563e-08', 'kl_loss': '0.00072448', 'kl_moving': '0.00072448', 'kl_stepwise': '1.282e-09', 'gathered_avg_reward_mean': '-0.80949295', 'gathered_avg_reward_std': '1.03005600', 'gathered_videoalign_local_mq_reward_mean': '-0.55876541', 'gathered_videoalign_local_mq_reward_std': '0.59197843', 'gathered_videoalign_local_overall_reward_mean': '-1.60216355', 'gathered_videoalign_local_overall_reward_std': '1.39651489', 'gathered_videoalign_local_ta_reward_mean': '-0.01682260', 'gathered_videoalign_local_ta_reward_std': '0.77043349', 'gathered_videoalign_local_vq_reward_mean': '-1.02657533', 'gathered_videoalign_local_vq_reward_std': '0.39267629', 'gathered_ori_avg_reward_mean': '-0.80949301', 'gathered_ori_avg_reward_std': '1.03005600'}
+2026-04-25 22:54:18.680 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 22:54:18.766 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:54:18.781 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 22:55:21.568 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000146/group_0/index_1422_seed_4519_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 22:55:22.178 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 22:55:22.181 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 22:56:24.278 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000146/group_0/index_1422_seed_4520_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 22:56:25.043 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 22:56:25.158 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 22:56:26.082 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.33s/it]
+2026-04-25 22:58:19.120 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.03s (1.88min)
+2026-04-25 22:58:19.885 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 146: training:  50%|█████     | 1/2 [03:27<03:27, 207.91s/it]             2026-04-25 23:05:17.486 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 147, train_steps: 5880
+Global Step 146: training: 100%|██████████| 2/2 [06:57<00:00, 208.79s/it]0, 10.18s/it]
+2026-04-25 23:05:18.137 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 147	train_steps 5880	{'step': '147/10000', 'learning_rate': '0.00001000', 'loss': '7.343e-08', 'grad_norm': '0.00336039', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.12350464', 'grpo_loop_time': '417.58105469', 'ref_model_time': '113.02796173', 'approx_kl': '2.309e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.343e-08', 'kl_loss': '0.00076450', 'kl_moving': '0.00076450', 'kl_stepwise': '9.648e-10', 'gathered_avg_reward_mean': '-0.39459720', 'gathered_avg_reward_std': '0.95546854', 'gathered_videoalign_local_mq_reward_mean': '-0.72041363', 'gathered_videoalign_local_mq_reward_std': '0.42387658', 'gathered_videoalign_local_overall_reward_mean': '-1.33279347', 'gathered_videoalign_local_overall_reward_std': '1.19551539', 'gathered_videoalign_local_ta_reward_mean': '0.54359901', 'gathered_videoalign_local_ta_reward_std': '0.78380382', 'gathered_videoalign_local_vq_reward_mean': '-1.15597868', 'gathered_videoalign_local_vq_reward_std': '0.29487330', 'gathered_ori_avg_reward_mean': '-0.39459717', 'gathered_ori_avg_reward_std': '0.95546848'}
+2026-04-25 23:05:18.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 23:05:18.277 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:05:18.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 23:06:21.189 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000147/group_0/index_9458_seed_866_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 23:06:21.762 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:06:21.763 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 23:07:23.585 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000147/group_0/index_9458_seed_867_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 23:07:24.158 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 23:07:24.298 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 23:07:25.181 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.40s/it]
+2026-04-25 23:09:19.376 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.18s (1.90min)
+2026-04-25 23:09:20.133 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 147: training:  50%|█████     | 1/2 [03:28<03:28, 208.57s/it]             2026-04-25 23:16:18.595 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 148, train_steps: 5920
+Global Step 147: training: 100%|██████████| 2/2 [06:58<00:00, 209.22s/it]0, 10.18s/it]
+2026-04-25 23:16:19.238 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 148	train_steps 5920	{'step': '148/10000', 'learning_rate': '0.00001000', 'loss': '-6.135e-08', 'grad_norm': '0.00398574', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.86654663', 'grpo_loop_time': '418.45068359', 'ref_model_time': '114.18255615', 'approx_kl': '2.646e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.135e-08', 'kl_loss': '0.00079961', 'kl_moving': '0.00079961', 'kl_stepwise': '1.315e-09', 'gathered_avg_reward_mean': '-1.13569427', 'gathered_avg_reward_std': '0.67564696', 'gathered_videoalign_local_mq_reward_mean': '-0.82893819', 'gathered_videoalign_local_mq_reward_std': '0.34451303', 'gathered_videoalign_local_overall_reward_mean': '-2.14217448', 'gathered_videoalign_local_overall_reward_std': '0.85614330', 'gathered_videoalign_local_ta_reward_mean': '-0.12921426', 'gathered_videoalign_local_ta_reward_std': '0.56931931', 'gathered_videoalign_local_vq_reward_mean': '-1.18402207', 'gathered_videoalign_local_vq_reward_std': '0.29304376', 'gathered_ori_avg_reward_mean': '-1.13569427', 'gathered_ori_avg_reward_std': '0.67564690'}
+2026-04-25 23:16:19.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 23:16:19.378 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:16:19.407 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 23:17:22.280 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000148/group_0/index_3484_seed_26788_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 23:17:22.873 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:17:22.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 23:18:24.850 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000148/group_0/index_3484_seed_26789_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 23:18:25.501 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 23:18:25.584 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 23:18:26.578 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.42s/it]
+2026-04-25 23:20:21.414 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.80s (1.91min)
+2026-04-25 23:20:22.241 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 148: training:  50%|█████     | 1/2 [03:26<03:26, 206.56s/it]             2026-04-25 23:27:19.335 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 149, train_steps: 5960
+Global Step 148: training: 100%|██████████| 2/2 [06:57<00:00, 208.54s/it]0, 10.18s/it]
+2026-04-25 23:27:19.864 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 149	train_steps 5960	{'step': '149/10000', 'learning_rate': '0.00001000', 'loss': '-5.960e-08', 'grad_norm': '0.00391731', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.80393982', 'grpo_loop_time': '417.08105469', 'ref_model_time': '114.80477905', 'approx_kl': '2.368e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.960e-08', 'kl_loss': '0.00085409', 'kl_moving': '0.00085409', 'kl_stepwise': '6.592e-10', 'gathered_avg_reward_mean': '-0.77059329', 'gathered_avg_reward_std': '0.69437796', 'gathered_videoalign_local_mq_reward_mean': '-0.82505548', 'gathered_videoalign_local_mq_reward_std': '0.39270797', 'gathered_videoalign_local_overall_reward_mean': '-1.72938728', 'gathered_videoalign_local_overall_reward_std': '0.89642179', 'gathered_videoalign_local_ta_reward_mean': '0.18820088', 'gathered_videoalign_local_ta_reward_std': '0.60696262', 'gathered_videoalign_local_vq_reward_mean': '-1.09253287', 'gathered_videoalign_local_vq_reward_std': '0.32541725', 'gathered_ori_avg_reward_mean': '-0.77059323', 'gathered_ori_avg_reward_std': '0.69437790'}
+2026-04-25 23:27:19.997 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 23:27:20.086 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:27:20.103 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-25 23:28:22.935 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000149/group_0/index_4688_seed_3903_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 23:28:24.068 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:28:24.073 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 23:29:26.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000149/group_0/index_4688_seed_3904_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 23:29:27.021 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 23:29:27.128 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 23:29:28.183 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.49s/it]
+2026-04-25 23:31:20.995 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.79s (1.88min)
+2026-04-25 23:31:21.841 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 149: training:  50%|█████     | 1/2 [03:26<03:26, 206.67s/it]             2026-04-25 23:38:18.852 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 150, train_steps: 6000
+Global Step 149: training: 100%|██████████| 2/2 [06:56<00:00, 208.50s/it]0, 10.18s/it]
+2026-04-25 23:38:19.390 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 150	train_steps 6000	{'step': '150/10000', 'learning_rate': '0.00001000', 'loss': '-8.696e-08', 'grad_norm': '0.00286502', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.67996216', 'grpo_loop_time': '417.00097656', 'ref_model_time': '112.79389954', 'approx_kl': '2.600e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.696e-08', 'kl_loss': '0.00086171', 'kl_moving': '0.00086171', 'kl_stepwise': '1.445e-09', 'gathered_avg_reward_mean': '-0.76447755', 'gathered_avg_reward_std': '0.65539515', 'gathered_videoalign_local_mq_reward_mean': '-0.72623026', 'gathered_videoalign_local_mq_reward_std': '0.37856612', 'gathered_videoalign_local_overall_reward_mean': '-1.68725300', 'gathered_videoalign_local_overall_reward_std': '0.72760272', 'gathered_videoalign_local_ta_reward_mean': '0.15829799', 'gathered_videoalign_local_ta_reward_std': '0.68047470', 'gathered_videoalign_local_vq_reward_mean': '-1.11932087', 'gathered_videoalign_local_vq_reward_std': '0.24873479', 'gathered_ori_avg_reward_mean': '-0.76447755', 'gathered_ori_avg_reward_std': '0.65539521'}
+2026-04-25 23:38:54.065 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=150 (missing=0, unexpected=0)
+2026-04-25 23:38:56.136 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 23:38:56.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:38:56.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-04-25 23:40:00.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000150/group_0/index_4044_seed_18127_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 23:40:01.214 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:40:01.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-25 23:41:03.815 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000150/group_0/index_4044_seed_18128_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 23:41:04.425 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 23:41:04.519 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 23:41:05.509 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.63s/it]
+2026-04-25 23:42:58.612 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.04s (1.88min)
+2026-04-25 23:42:59.375 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 150: training:  50%|█████     | 1/2 [03:28<03:28, 208.47s/it]             2026-04-25 23:49:58.294 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 151, train_steps: 6040
+Global Step 150: training: 100%|██████████| 2/2 [06:58<00:00, 209.46s/it]0, 10.18s/it]
+2026-04-25 23:49:58.893 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 151	train_steps 6040	{'step': '151/10000', 'learning_rate': '0.00001000', 'loss': '-6.112e-09', 'grad_norm': '0.00380480', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.15710449', 'grpo_loop_time': '418.91674805', 'ref_model_time': '113.03764343', 'approx_kl': '2.384e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.112e-09', 'kl_loss': '0.00073523', 'kl_moving': '0.00073523', 'kl_stepwise': '7.043e-10', 'gathered_avg_reward_mean': '-1.02544188', 'gathered_avg_reward_std': '0.96742135', 'gathered_videoalign_local_mq_reward_mean': '-0.74675620', 'gathered_videoalign_local_mq_reward_std': '0.43190414', 'gathered_videoalign_local_overall_reward_mean': '-1.95764589', 'gathered_videoalign_local_overall_reward_std': '1.20761359', 'gathered_videoalign_local_ta_reward_mean': '-0.09323803', 'gathered_videoalign_local_ta_reward_std': '0.77893388', 'gathered_videoalign_local_vq_reward_mean': '-1.11765182', 'gathered_videoalign_local_vq_reward_std': '0.24137343', 'gathered_ori_avg_reward_mean': '-1.02544212', 'gathered_ori_avg_reward_std': '0.96742129'}
+2026-04-25 23:49:58.959 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-25 23:49:59.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:49:59.060 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-25 23:51:01.706 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000151/group_0/index_1029_seed_33428_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-25 23:51:02.300 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-25 23:51:02.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-25 23:52:04.538 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000151/group_0/index_1029_seed_33429_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-25 23:52:05.188 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-25 23:52:05.257 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-25 23:52:06.367 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-04-25 23:53:59.399 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.99s (1.88min)
+2026-04-25 23:54:00.334 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 151: training:  50%|█████     | 1/2 [03:28<03:28, 208.33s/it]             2026-04-26 00:00:59.447 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 152, train_steps: 6080
+Global Step 151: training: 100%|██████████| 2/2 [06:59<00:00, 209.56s/it]0, 10.20s/it]
+2026-04-26 00:01:00.069 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 152	train_steps 6080	{'step': '152/10000', 'learning_rate': '0.00001000', 'loss': '1.397e-08', 'grad_norm': '0.00292471', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.11219788', 'grpo_loop_time': '419.12207031', 'ref_model_time': '112.99375916', 'approx_kl': '2.516e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.397e-08', 'kl_loss': '0.00067486', 'kl_moving': '0.00067486', 'kl_stepwise': '1.682e-09', 'gathered_avg_reward_mean': '-0.76947534', 'gathered_avg_reward_std': '0.61726153', 'gathered_videoalign_local_mq_reward_mean': '-0.64867365', 'gathered_videoalign_local_mq_reward_std': '0.59508854', 'gathered_videoalign_local_overall_reward_mean': '-1.63964415', 'gathered_videoalign_local_overall_reward_std': '0.93739653', 'gathered_videoalign_local_ta_reward_mean': '0.10069336', 'gathered_videoalign_local_ta_reward_std': '0.49322680', 'gathered_videoalign_local_vq_reward_mean': '-1.09166384', 'gathered_videoalign_local_vq_reward_std': '0.29031244', 'gathered_ori_avg_reward_mean': '-0.76947534', 'gathered_ori_avg_reward_std': '0.61726159'}
+2026-04-26 00:01:00.113 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 00:01:00.209 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:01:00.225 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 00:02:02.997 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000152/group_0/index_2212_seed_5570_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 00:02:03.620 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:02:03.624 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 00:03:05.678 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000152/group_0/index_2212_seed_5571_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 00:03:06.366 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 00:03:06.465 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 00:03:07.356 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.93s/it]
+2026-04-26 00:05:00.263 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.86s (1.88min)
+2026-04-26 00:05:01.237 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 152: training:  50%|█████     | 1/2 [03:27<03:27, 207.45s/it]             2026-04-26 00:11:59.457 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 153, train_steps: 6120
+Global Step 152: training: 100%|██████████| 2/2 [06:58<00:00, 209.06s/it]0, 10.21s/it]
+2026-04-26 00:12:00.079 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 153	train_steps 6120	{'step': '153/10000', 'learning_rate': '0.00001000', 'loss': '-4.191e-08', 'grad_norm': '0.00338868', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.82849121', 'grpo_loop_time': '418.12722778', 'ref_model_time': '112.85713196', 'approx_kl': '2.278e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.191e-08', 'kl_loss': '0.00077011', 'kl_moving': '0.00077011', 'kl_stepwise': '8.455e-10', 'gathered_avg_reward_mean': '-0.83161008', 'gathered_avg_reward_std': '0.92278653', 'gathered_videoalign_local_mq_reward_mean': '-0.76799721', 'gathered_videoalign_local_mq_reward_std': '0.36397722', 'gathered_videoalign_local_overall_reward_mean': '-1.80423105', 'gathered_videoalign_local_overall_reward_std': '1.11098492', 'gathered_videoalign_local_ta_reward_mean': '0.14101106', 'gathered_videoalign_local_ta_reward_std': '0.81336898', 'gathered_videoalign_local_vq_reward_mean': '-1.17724502', 'gathered_videoalign_local_vq_reward_std': '0.32023105', 'gathered_ori_avg_reward_mean': '-0.83161008', 'gathered_ori_avg_reward_std': '0.92278653'}
+2026-04-26 00:12:00.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 00:12:00.219 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:12:00.258 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 00:13:03.073 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000153/group_0/index_9823_seed_31536_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 00:13:03.643 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:13:03.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 00:14:06.134 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000153/group_0/index_9823_seed_31537_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 00:14:06.716 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 00:14:06.859 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 00:14:07.721 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.77s/it]
+2026-04-26 00:15:59.901 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.14s (1.87min)
+2026-04-26 00:16:00.689 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 153: training:  50%|█████     | 1/2 [03:28<03:28, 208.42s/it]             2026-04-26 00:23:00.155 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 154, train_steps: 6160
+Global Step 153: training: 100%|██████████| 2/2 [06:59<00:00, 209.71s/it]0, 10.20s/it]
+2026-04-26 00:23:00.773 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 154	train_steps 6160	{'step': '154/10000', 'learning_rate': '0.00001000', 'loss': '6.438e-08', 'grad_norm': '0.00395702', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.46972656', 'grpo_loop_time': '419.42849731', 'ref_model_time': '112.13909149', 'approx_kl': '2.312e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.438e-08', 'kl_loss': '0.00073152', 'kl_moving': '0.00073152', 'kl_stepwise': '1.235e-09', 'gathered_avg_reward_mean': '-0.77926636', 'gathered_avg_reward_std': '1.04387188', 'gathered_videoalign_local_mq_reward_mean': '-0.58752310', 'gathered_videoalign_local_mq_reward_std': '0.48566985', 'gathered_videoalign_local_overall_reward_mean': '-1.63188255', 'gathered_videoalign_local_overall_reward_std': '1.27516282', 'gathered_videoalign_local_ta_reward_mean': '0.07334994', 'gathered_videoalign_local_ta_reward_std': '0.87463188', 'gathered_videoalign_local_vq_reward_mean': '-1.11770964', 'gathered_videoalign_local_vq_reward_std': '0.22577092', 'gathered_ori_avg_reward_mean': '-0.77926636', 'gathered_ori_avg_reward_std': '1.04387200'}
+2026-04-26 00:23:00.819 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 00:23:00.914 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:23:00.965 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 00:24:03.785 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000154/group_0/index_2876_seed_14120_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 00:24:04.873 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:24:04.876 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 00:25:07.029 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000154/group_0/index_2876_seed_14121_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 00:25:07.588 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 00:25:07.728 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 00:25:08.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.09s/it]
+2026-04-26 00:27:01.962 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.34s (1.89min)
+2026-04-26 00:27:02.736 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 154: training:  50%|█████     | 1/2 [03:27<03:27, 207.03s/it]             2026-04-26 00:34:00.374 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 155, train_steps: 6200
+Global Step 154: training: 100%|██████████| 2/2 [06:57<00:00, 208.81s/it]0, 10.20s/it]
+2026-04-26 00:34:00.926 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 155	train_steps 6200	{'step': '155/10000', 'learning_rate': '0.00001000', 'loss': '1.322e-07', 'grad_norm': '0.01073816', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.83387756', 'grpo_loop_time': '417.62835693', 'ref_model_time': '113.33607483', 'approx_kl': '2.475e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.322e-07', 'kl_loss': '0.00074319', 'kl_moving': '0.00074319', 'kl_stepwise': '1.614e-09', 'gathered_avg_reward_mean': '-0.96196592', 'gathered_avg_reward_std': '0.77669519', 'gathered_videoalign_local_mq_reward_mean': '-0.66907156', 'gathered_videoalign_local_mq_reward_std': '0.43450984', 'gathered_videoalign_local_overall_reward_mean': '-1.84810770', 'gathered_videoalign_local_overall_reward_std': '0.89601278', 'gathered_videoalign_local_ta_reward_mean': '-0.07582428', 'gathered_videoalign_local_ta_reward_std': '0.75272793', 'gathered_videoalign_local_vq_reward_mean': '-1.10321188', 'gathered_videoalign_local_vq_reward_std': '0.23714572', 'gathered_ori_avg_reward_mean': '-0.96196592', 'gathered_ori_avg_reward_std': '0.77669519'}
+2026-04-26 00:34:01.037 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 00:34:01.123 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:34:01.137 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 00:35:04.576 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000155/group_0/index_8512_seed_14125_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 00:35:05.225 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:35:05.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 00:36:07.644 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000155/group_0/index_8512_seed_14126_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 00:36:08.360 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 00:36:08.423 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 00:36:09.268 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 00:38:03.020 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.61s (1.89min)
+2026-04-26 00:38:03.826 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 155: training:  50%|█████     | 1/2 [03:25<03:25, 205.55s/it]             2026-04-26 00:44:59.688 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 156, train_steps: 6240
+Global Step 155: training: 100%|██████████| 2/2 [06:55<00:00, 207.92s/it]0, 10.16s/it]
+2026-04-26 00:45:00.241 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 156	train_steps 6240	{'step': '156/10000', 'learning_rate': '0.00001000', 'loss': '2.468e-08', 'grad_norm': '0.00408024', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.67063904', 'grpo_loop_time': '415.84179688', 'ref_model_time': '113.60935974', 'approx_kl': '2.454e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.468e-08', 'kl_loss': '0.00082133', 'kl_moving': '0.00082133', 'kl_stepwise': '1.631e-09', 'gathered_avg_reward_mean': '-0.95277393', 'gathered_avg_reward_std': '0.68500966', 'gathered_videoalign_local_mq_reward_mean': '-0.86326230', 'gathered_videoalign_local_mq_reward_std': '0.25466108', 'gathered_videoalign_local_overall_reward_mean': '-1.91047442', 'gathered_videoalign_local_overall_reward_std': '0.73934478', 'gathered_videoalign_local_ta_reward_mean': '0.00492654', 'gathered_videoalign_local_ta_reward_std': '0.68364590', 'gathered_videoalign_local_vq_reward_mean': '-1.05213881', 'gathered_videoalign_local_vq_reward_std': '0.17987771', 'gathered_ori_avg_reward_mean': '-0.95277393', 'gathered_ori_avg_reward_std': '0.68500966'}
+2026-04-26 00:45:00.336 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 00:45:00.422 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:45:00.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 00:46:03.082 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000156/group_0/index_211_seed_8980_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 00:46:03.699 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:46:03.703 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 00:47:06.164 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000156/group_0/index_211_seed_8981_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 00:47:06.757 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 00:47:06.859 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 00:47:07.786 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-26 00:49:00.609 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.80s (1.88min)
+2026-04-26 00:49:01.531 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 156: training:  50%|█████     | 1/2 [03:27<03:27, 207.28s/it]             2026-04-26 00:56:00.366 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 157, train_steps: 6280
+Global Step 156: training: 100%|██████████| 2/2 [06:58<00:00, 209.41s/it]0, 10.20s/it]
+2026-04-26 00:56:01.093 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 157	train_steps 6280	{'step': '157/10000', 'learning_rate': '0.00001000', 'loss': '-1.062e-07', 'grad_norm': '0.00304691', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.03149414', 'grpo_loop_time': '418.82238770', 'ref_model_time': '112.80155945', 'approx_kl': '2.517e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.062e-07', 'kl_loss': '0.00075641', 'kl_moving': '0.00075641', 'kl_stepwise': '1.116e-09', 'gathered_avg_reward_mean': '-0.83425939', 'gathered_avg_reward_std': '0.76138383', 'gathered_videoalign_local_mq_reward_mean': '-0.62500787', 'gathered_videoalign_local_mq_reward_std': '0.39500383', 'gathered_videoalign_local_overall_reward_mean': '-1.71689963', 'gathered_videoalign_local_overall_reward_std': '0.92080337', 'gathered_videoalign_local_ta_reward_mean': '0.04838079', 'gathered_videoalign_local_ta_reward_std': '0.69860041', 'gathered_videoalign_local_vq_reward_mean': '-1.14027250', 'gathered_videoalign_local_vq_reward_std': '0.27789870', 'gathered_ori_avg_reward_mean': '-0.83425945', 'gathered_ori_avg_reward_std': '0.76138383'}
+2026-04-26 00:56:01.152 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 00:56:01.246 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:56:01.335 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 00:57:04.307 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000157/group_0/index_9845_seed_20996_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 00:57:04.920 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 00:57:04.929 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 00:58:07.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000157/group_0/index_9845_seed_20997_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 00:58:07.654 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 00:58:07.799 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 00:58:08.748 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.02s/it]
+2026-04-26 01:00:01.695 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.90s (1.88min)
+2026-04-26 01:00:02.520 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 157: training:  50%|█████     | 1/2 [03:26<03:26, 206.40s/it]             2026-04-26 01:06:59.413 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 158, train_steps: 6320
+Global Step 157: training: 100%|██████████| 2/2 [06:56<00:00, 208.37s/it]0, 10.18s/it]
+2026-04-26 01:07:00.101 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 158	train_steps 6320	{'step': '158/10000', 'learning_rate': '0.00001000', 'loss': '-6.519e-09', 'grad_norm': '0.00344267', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.28456116', 'grpo_loop_time': '416.75363159', 'ref_model_time': '112.89915466', 'approx_kl': '2.320e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.519e-09', 'kl_loss': '0.00082683', 'kl_moving': '0.00082683', 'kl_stepwise': '1.519e-09', 'gathered_avg_reward_mean': '-0.92199862', 'gathered_avg_reward_std': '1.02981949', 'gathered_videoalign_local_mq_reward_mean': '-0.71342123', 'gathered_videoalign_local_mq_reward_std': '0.51618212', 'gathered_videoalign_local_overall_reward_mean': '-1.84662461', 'gathered_videoalign_local_overall_reward_std': '1.31377196', 'gathered_videoalign_local_ta_reward_mean': '0.00262748', 'gathered_videoalign_local_ta_reward_std': '0.85177773', 'gathered_videoalign_local_vq_reward_mean': '-1.13583088', 'gathered_videoalign_local_vq_reward_std': '0.35515267', 'gathered_ori_avg_reward_mean': '-0.92199856', 'gathered_ori_avg_reward_std': '1.02981949'}
+2026-04-26 01:07:00.163 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 01:07:00.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:07:00.381 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 01:08:03.627 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000158/group_0/index_6871_seed_32862_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 01:08:04.210 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:08:04.211 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 01:09:06.741 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000158/group_0/index_6871_seed_32863_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 01:09:07.312 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 01:09:07.454 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 01:09:08.274 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.25s/it]
+2026-04-26 01:11:00.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.48s (1.87min)
+2026-04-26 01:11:01.609 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 158: training:  50%|█████     | 1/2 [03:27<03:27, 207.47s/it]             2026-04-26 01:17:59.759 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 159, train_steps: 6360
+Global Step 158: training: 100%|██████████| 2/2 [06:58<00:00, 209.09s/it]0, 10.20s/it]
+2026-04-26 01:18:00.468 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 159	train_steps 6360	{'step': '159/10000', 'learning_rate': '0.00001000', 'loss': '-9.034e-08', 'grad_norm': '0.00383512', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.35415649', 'grpo_loop_time': '418.19360352', 'ref_model_time': '112.47816467', 'approx_kl': '2.513e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.034e-08', 'kl_loss': '0.00075129', 'kl_moving': '0.00075129', 'kl_stepwise': '1.174e-09', 'gathered_avg_reward_mean': '-0.82892382', 'gathered_avg_reward_std': '0.89669430', 'gathered_videoalign_local_mq_reward_mean': '-0.79180008', 'gathered_videoalign_local_mq_reward_std': '0.32598469', 'gathered_videoalign_local_overall_reward_mean': '-1.79024863', 'gathered_videoalign_local_overall_reward_std': '1.02862489', 'gathered_videoalign_local_ta_reward_mean': '0.13240099', 'gathered_videoalign_local_ta_reward_std': '0.81750685', 'gathered_videoalign_local_vq_reward_mean': '-1.13084960', 'gathered_videoalign_local_vq_reward_std': '0.25024191', 'gathered_ori_avg_reward_mean': '-0.82892376', 'gathered_ori_avg_reward_std': '0.89669436'}
+2026-04-26 01:18:00.517 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 01:18:00.609 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:18:00.642 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 01:19:03.499 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000159/group_0/index_118_seed_28482_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 01:19:04.575 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:19:04.742 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 01:20:06.740 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000159/group_0/index_118_seed_28483_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 01:20:07.350 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 01:20:07.498 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 01:20:08.324 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-26 01:22:01.453 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.97s (1.88min)
+2026-04-26 01:22:02.423 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 159: training:  50%|█████     | 1/2 [03:26<03:26, 206.51s/it]             2026-04-26 01:29:00.041 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 160, train_steps: 6400
+Global Step 159: training: 100%|██████████| 2/2 [06:57<00:00, 208.74s/it]0, 10.17s/it]
+2026-04-26 01:29:00.663 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 160	train_steps 6400	{'step': '160/10000', 'learning_rate': '0.00001000', 'loss': '-9.313e-10', 'grad_norm': '0.00974432', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.64642334', 'grpo_loop_time': '417.48773193', 'ref_model_time': '112.97195435', 'approx_kl': '2.369e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.313e-10', 'kl_loss': '0.00083517', 'kl_moving': '0.00083517', 'kl_stepwise': '1.128e-09', 'gathered_avg_reward_mean': '-0.96990621', 'gathered_avg_reward_std': '0.90390772', 'gathered_videoalign_local_mq_reward_mean': '-0.71419692', 'gathered_videoalign_local_mq_reward_std': '0.43318513', 'gathered_videoalign_local_overall_reward_mean': '-1.93518436', 'gathered_videoalign_local_overall_reward_std': '1.09450352', 'gathered_videoalign_local_ta_reward_mean': '-0.00462802', 'gathered_videoalign_local_ta_reward_std': '0.77085024', 'gathered_videoalign_local_vq_reward_mean': '-1.21635938', 'gathered_videoalign_local_vq_reward_std': '0.19220367', 'gathered_ori_avg_reward_mean': '-0.96990621', 'gathered_ori_avg_reward_std': '0.90390778'}
+2026-04-26 01:29:35.365 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=160 (missing=0, unexpected=0)
+2026-04-26 01:29:37.409 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 01:29:37.531 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:29:37.681 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.95s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-04-26 01:30:42.700 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000160/group_0/index_4677_seed_31510_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 01:30:43.296 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:30:43.300 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 01:31:45.880 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000160/group_0/index_4677_seed_31511_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 01:31:46.495 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 01:31:46.646 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 01:31:47.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-04-26 01:33:40.134 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.50s (1.88min)
+2026-04-26 01:33:40.918 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 160: training:  50%|█████     | 1/2 [03:26<03:26, 206.17s/it]             2026-04-26 01:40:37.545 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 161, train_steps: 6440
+Global Step 160: training: 100%|██████████| 2/2 [06:56<00:00, 208.30s/it]0, 10.19s/it]
+2026-04-26 01:40:38.124 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 161	train_steps 6440	{'step': '161/10000', 'learning_rate': '0.00001000', 'loss': '-6.799e-08', 'grad_norm': '0.00426255', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.42881775', 'grpo_loop_time': '416.61239624', 'ref_model_time': '112.50136566', 'approx_kl': '2.607e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.799e-08', 'kl_loss': '0.00084537', 'kl_moving': '0.00084537', 'kl_stepwise': '1.230e-09', 'gathered_avg_reward_mean': '-0.88545245', 'gathered_avg_reward_std': '0.69360995', 'gathered_videoalign_local_mq_reward_mean': '-0.77315402', 'gathered_videoalign_local_mq_reward_std': '0.31306949', 'gathered_videoalign_local_overall_reward_mean': '-1.83525467', 'gathered_videoalign_local_overall_reward_std': '0.79608232', 'gathered_videoalign_local_ta_reward_mean': '0.06434964', 'gathered_videoalign_local_ta_reward_std': '0.66202676', 'gathered_videoalign_local_vq_reward_mean': '-1.12645030', 'gathered_videoalign_local_vq_reward_std': '0.21682879', 'gathered_ori_avg_reward_mean': '-0.88545251', 'gathered_ori_avg_reward_std': '0.69360995'}
+2026-04-26 01:40:38.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 01:40:38.307 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:40:38.322 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 01:41:41.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000161/group_0/index_8624_seed_17155_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 01:41:41.655 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:41:41.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 01:42:43.655 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000161/group_0/index_8624_seed_17156_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 01:42:44.242 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 01:42:44.381 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 01:42:45.169 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-26 01:44:37.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.41s (1.87min)
+2026-04-26 01:44:38.448 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 161: training:  50%|█████     | 1/2 [03:28<03:28, 208.05s/it]             2026-04-26 01:51:38.599 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 162, train_steps: 6480
+Global Step 161: training: 100%|██████████| 2/2 [07:00<00:00, 210.03s/it]0, 10.22s/it]
+2026-04-26 01:51:39.172 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 162	train_steps 6480	{'step': '162/10000', 'learning_rate': '0.00001000', 'loss': '3.166e-08', 'grad_norm': '0.00329411', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.14414978', 'grpo_loop_time': '420.07281494', 'ref_model_time': '112.40971375', 'approx_kl': '2.305e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.166e-08', 'kl_loss': '0.00075465', 'kl_moving': '0.00075465', 'kl_stepwise': '9.895e-10', 'gathered_avg_reward_mean': '-0.68565047', 'gathered_avg_reward_std': '0.76039088', 'gathered_videoalign_local_mq_reward_mean': '-0.68729430', 'gathered_videoalign_local_mq_reward_std': '0.37521031', 'gathered_videoalign_local_overall_reward_mean': '-1.59620762', 'gathered_videoalign_local_overall_reward_std': '0.88722885', 'gathered_videoalign_local_ta_reward_mean': '0.22490674', 'gathered_videoalign_local_ta_reward_std': '0.74073917', 'gathered_videoalign_local_vq_reward_mean': '-1.13382006', 'gathered_videoalign_local_vq_reward_std': '0.30688977', 'gathered_ori_avg_reward_mean': '-0.68565047', 'gathered_ori_avg_reward_std': '0.76039088'}
+2026-04-26 01:51:39.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 01:51:39.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:51:39.405 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 01:52:42.117 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000162/group_0/index_3190_seed_19671_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 01:52:42.724 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 01:52:42.727 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 01:53:44.848 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000162/group_0/index_3190_seed_19672_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 01:53:45.444 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 01:53:45.587 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 01:53:46.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 01:55:39.931 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.44s (1.89min)
+2026-04-26 01:55:40.670 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 162: training:  50%|█████     | 1/2 [03:26<03:26, 206.90s/it]             2026-04-26 02:02:38.293 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 163, train_steps: 6520
+Global Step 162: training: 100%|██████████| 2/2 [06:57<00:00, 208.81s/it]0, 10.19s/it]
+2026-04-26 02:02:38.950 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 163	train_steps 6520	{'step': '163/10000', 'learning_rate': '0.00001000', 'loss': '9.174e-08', 'grad_norm': '0.00379650', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.32664490', 'grpo_loop_time': '417.62442017', 'ref_model_time': '113.43960571', 'approx_kl': '2.539e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.174e-08', 'kl_loss': '0.00081208', 'kl_moving': '0.00081208', 'kl_stepwise': '1.311e-09', 'gathered_avg_reward_mean': '-0.93815500', 'gathered_avg_reward_std': '0.69229287', 'gathered_videoalign_local_mq_reward_mean': '-0.79549569', 'gathered_videoalign_local_mq_reward_std': '0.35874251', 'gathered_videoalign_local_overall_reward_mean': '-1.92585087', 'gathered_videoalign_local_overall_reward_std': '0.78597116', 'gathered_videoalign_local_ta_reward_mean': '0.04954093', 'gathered_videoalign_local_ta_reward_std': '0.66010994', 'gathered_videoalign_local_vq_reward_mean': '-1.17989612', 'gathered_videoalign_local_vq_reward_std': '0.17604354', 'gathered_ori_avg_reward_mean': '-0.93815500', 'gathered_ori_avg_reward_std': '0.69229287'}
+2026-04-26 02:02:38.999 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 02:02:39.098 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:02:39.143 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 02:03:42.220 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000163/group_0/index_1399_seed_15704_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 02:03:42.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:03:42.831 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-26 02:04:45.885 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000163/group_0/index_1399_seed_15705_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 02:04:46.630 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 02:04:46.677 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 02:04:47.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.35s/it]
+2026-04-26 02:06:40.411 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.74s (1.88min)
+2026-04-26 02:06:41.173 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 163: training:  50%|█████     | 1/2 [03:26<03:26, 206.03s/it]             2026-04-26 02:13:37.297 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 164, train_steps: 6560
+Global Step 163: training: 100%|██████████| 2/2 [06:56<00:00, 208.07s/it]0, 10.17s/it]
+2026-04-26 02:13:37.881 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 164	train_steps 6560	{'step': '164/10000', 'learning_rate': '0.00001000', 'loss': '5.960e-08', 'grad_norm': '0.00328534', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.09133911', 'grpo_loop_time': '416.13912964', 'ref_model_time': '112.73925018', 'approx_kl': '2.252e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.960e-08', 'kl_loss': '0.00078744', 'kl_moving': '0.00078744', 'kl_stepwise': '1.525e-09', 'gathered_avg_reward_mean': '-1.01909423', 'gathered_avg_reward_std': '0.82754230', 'gathered_videoalign_local_mq_reward_mean': '-0.66106325', 'gathered_videoalign_local_mq_reward_std': '0.51688647', 'gathered_videoalign_local_overall_reward_mean': '-1.90850925', 'gathered_videoalign_local_overall_reward_std': '1.10742116', 'gathered_videoalign_local_ta_reward_mean': '-0.12967893', 'gathered_videoalign_local_ta_reward_std': '0.64098662', 'gathered_videoalign_local_vq_reward_mean': '-1.11776733', 'gathered_videoalign_local_vq_reward_std': '0.27547714', 'gathered_ori_avg_reward_mean': '-1.01909423', 'gathered_ori_avg_reward_std': '0.82754230'}
+2026-04-26 02:13:37.968 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 02:13:38.054 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:13:38.070 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 02:14:40.814 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000164/group_0/index_2623_seed_17235_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 02:14:41.812 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:14:41.815 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 02:15:43.613 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000164/group_0/index_2623_seed_17236_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 02:15:44.234 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 02:15:44.375 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 02:15:45.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.29s/it]
+2026-04-26 02:17:37.681 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.40s (1.87min)
+2026-04-26 02:17:38.447 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 164: training:  50%|█████     | 1/2 [03:27<03:27, 207.34s/it]             2026-04-26 02:24:36.167 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 165, train_steps: 6600
+Global Step 164: training: 100%|██████████| 2/2 [06:57<00:00, 208.77s/it]0, 10.17s/it]
+2026-04-26 02:24:36.726 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 165	train_steps 6600	{'step': '165/10000', 'learning_rate': '0.00001000', 'loss': '1.676e-08', 'grad_norm': '0.00309290', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.39840698', 'grpo_loop_time': '417.55221558', 'ref_model_time': '112.40121460', 'approx_kl': '2.480e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.676e-08', 'kl_loss': '0.00072936', 'kl_moving': '0.00072936', 'kl_stepwise': '1.458e-09', 'gathered_avg_reward_mean': '-0.78119880', 'gathered_avg_reward_std': '0.90023041', 'gathered_videoalign_local_mq_reward_mean': '-0.76027977', 'gathered_videoalign_local_mq_reward_std': '0.46256125', 'gathered_videoalign_local_overall_reward_mean': '-1.69780517', 'gathered_videoalign_local_overall_reward_std': '1.17511940', 'gathered_videoalign_local_ta_reward_mean': '0.13540769', 'gathered_videoalign_local_ta_reward_std': '0.69483215', 'gathered_videoalign_local_vq_reward_mean': '-1.07293320', 'gathered_videoalign_local_vq_reward_std': '0.32139879', 'gathered_ori_avg_reward_mean': '-0.78119874', 'gathered_ori_avg_reward_std': '0.90023041'}
+2026-04-26 02:24:36.773 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 02:24:36.881 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:24:36.933 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 02:25:39.973 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000165/group_0/index_5670_seed_16870_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 02:25:40.568 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:25:40.572 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 02:26:42.435 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000165/group_0/index_5670_seed_16871_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 02:26:43.092 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 02:26:43.230 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 02:26:44.132 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.69s/it]
+2026-04-26 02:28:37.071 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.94s (1.88min)
+2026-04-26 02:28:37.821 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 165: training:  50%|█████     | 1/2 [03:27<03:27, 207.58s/it]             2026-04-26 02:35:36.195 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 166, train_steps: 6640
+Global Step 165: training: 100%|██████████| 2/2 [06:58<00:00, 209.12s/it]0, 10.19s/it]
+2026-04-26 02:35:36.754 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 166	train_steps 6640	{'step': '166/10000', 'learning_rate': '0.00001000', 'loss': '6.892e-08', 'grad_norm': '0.00422572', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.96426392', 'grpo_loop_time': '418.24731445', 'ref_model_time': '112.93527985', 'approx_kl': '2.302e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.892e-08', 'kl_loss': '0.00080688', 'kl_moving': '0.00080688', 'kl_stepwise': '1.070e-09', 'gathered_avg_reward_mean': '-0.81959093', 'gathered_avg_reward_std': '0.73864961', 'gathered_videoalign_local_mq_reward_mean': '-0.77703404', 'gathered_videoalign_local_mq_reward_std': '0.29449463', 'gathered_videoalign_local_overall_reward_mean': '-1.77132630', 'gathered_videoalign_local_overall_reward_std': '0.88448697', 'gathered_videoalign_local_ta_reward_mean': '0.13214438', 'gathered_videoalign_local_ta_reward_std': '0.66208696', 'gathered_videoalign_local_vq_reward_mean': '-1.12643671', 'gathered_videoalign_local_vq_reward_std': '0.28088319', 'gathered_ori_avg_reward_mean': '-0.81959099', 'gathered_ori_avg_reward_std': '0.73864961'}
+2026-04-26 02:35:36.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 02:35:36.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:35:36.954 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 02:36:39.786 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000166/group_0/index_9254_seed_15485_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 02:36:40.371 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:36:40.375 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 02:37:42.369 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000166/group_0/index_9254_seed_15486_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 02:37:43.043 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 02:37:43.185 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 02:37:44.077 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.50s/it]
+2026-04-26 02:39:36.759 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.68s (1.88min)
+2026-04-26 02:39:37.517 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 166: training:  50%|█████     | 1/2 [03:27<03:27, 207.43s/it]             2026-04-26 02:46:35.363 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 167, train_steps: 6680
+Global Step 166: training: 100%|██████████| 2/2 [06:57<00:00, 208.92s/it]0, 10.18s/it]
+2026-04-26 02:46:35.984 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 167	train_steps 6680	{'step': '167/10000', 'learning_rate': '0.00001000', 'loss': '8.568e-08', 'grad_norm': '0.00485552', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.58157349', 'grpo_loop_time': '417.84704590', 'ref_model_time': '112.67676544', 'approx_kl': '2.340e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.568e-08', 'kl_loss': '0.00085307', 'kl_moving': '0.00085307', 'kl_stepwise': '8.993e-10', 'gathered_avg_reward_mean': '-0.62074649', 'gathered_avg_reward_std': '0.75696498', 'gathered_videoalign_local_mq_reward_mean': '-0.83683836', 'gathered_videoalign_local_mq_reward_std': '0.32374999', 'gathered_videoalign_local_overall_reward_mean': '-1.63285780', 'gathered_videoalign_local_overall_reward_std': '0.86680830', 'gathered_videoalign_local_ta_reward_mean': '0.39136481', 'gathered_videoalign_local_ta_reward_std': '0.69249910', 'gathered_videoalign_local_vq_reward_mean': '-1.18738437', 'gathered_videoalign_local_vq_reward_std': '0.22633001', 'gathered_ori_avg_reward_mean': '-0.62074649', 'gathered_ori_avg_reward_std': '0.75696492'}
+2026-04-26 02:46:36.025 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 02:46:36.122 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:46:36.149 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 02:47:39.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000167/group_0/index_6713_seed_23219_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 02:47:39.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:47:39.872 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 02:48:42.031 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000167/group_0/index_6713_seed_23220_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 02:48:42.608 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 02:48:42.747 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 02:48:43.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-26 02:50:36.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.54s (1.88min)
+2026-04-26 02:50:36.952 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 167: training:  50%|█████     | 1/2 [03:27<03:27, 207.22s/it]             2026-04-26 02:57:34.091 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 168, train_steps: 6720
+Global Step 167: training: 100%|██████████| 2/2 [06:57<00:00, 208.56s/it]0, 10.16s/it]
+2026-04-26 02:57:34.742 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 168	train_steps 6720	{'step': '168/10000', 'learning_rate': '0.00001000', 'loss': '4.005e-08', 'grad_norm': '0.00342730', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.84500122', 'grpo_loop_time': '417.12396240', 'ref_model_time': '112.53559113', 'approx_kl': '2.413e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.005e-08', 'kl_loss': '0.00081707', 'kl_moving': '0.00081707', 'kl_stepwise': '1.129e-09', 'gathered_avg_reward_mean': '-0.64109516', 'gathered_avg_reward_std': '0.73587459', 'gathered_videoalign_local_mq_reward_mean': '-0.72607034', 'gathered_videoalign_local_mq_reward_std': '0.37448698', 'gathered_videoalign_local_overall_reward_mean': '-1.49154735', 'gathered_videoalign_local_overall_reward_std': '0.94973475', 'gathered_videoalign_local_ta_reward_mean': '0.20935702', 'gathered_videoalign_local_ta_reward_std': '0.60863918', 'gathered_videoalign_local_vq_reward_mean': '-0.97483402', 'gathered_videoalign_local_vq_reward_std': '0.37545919', 'gathered_ori_avg_reward_mean': '-0.64109516', 'gathered_ori_avg_reward_std': '0.73587465'}
+2026-04-26 02:57:34.787 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 02:57:34.883 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:57:34.917 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 02:58:37.693 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000168/group_0/index_6348_seed_27062_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 02:58:38.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 02:58:38.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 02:59:40.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000168/group_0/index_6348_seed_27063_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 02:59:40.905 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 02:59:40.954 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 02:59:41.815 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-04-26 03:01:34.508 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.55s (1.88min)
+2026-04-26 03:01:35.284 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 168: training:  50%|█████     | 1/2 [03:27<03:27, 207.04s/it]             2026-04-26 03:08:32.559 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 169, train_steps: 6760
+Global Step 168: training: 100%|██████████| 2/2 [06:57<00:00, 208.63s/it]0, 10.18s/it]
+2026-04-26 03:08:33.214 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 169	train_steps 6760	{'step': '169/10000', 'learning_rate': '0.00001000', 'loss': '3.120e-08', 'grad_norm': '0.00484190', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.41612244', 'grpo_loop_time': '417.26657104', 'ref_model_time': '112.55375671', 'approx_kl': '2.463e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.120e-08', 'kl_loss': '0.00084087', 'kl_moving': '0.00084087', 'kl_stepwise': '1.650e-09', 'gathered_avg_reward_mean': '-0.58834314', 'gathered_avg_reward_std': '0.86968797', 'gathered_videoalign_local_mq_reward_mean': '-0.80678451', 'gathered_videoalign_local_mq_reward_std': '0.28105167', 'gathered_videoalign_local_overall_reward_mean': '-1.53359580', 'gathered_videoalign_local_overall_reward_std': '1.03356481', 'gathered_videoalign_local_ta_reward_mean': '0.35690948', 'gathered_videoalign_local_ta_reward_std': '0.74507111', 'gathered_videoalign_local_vq_reward_mean': '-1.08372068', 'gathered_videoalign_local_vq_reward_std': '0.25020552', 'gathered_ori_avg_reward_mean': '-0.58834314', 'gathered_ori_avg_reward_std': '0.86968803'}
+2026-04-26 03:08:33.256 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 03:08:33.351 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:08:33.379 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 03:09:36.121 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000169/group_0/index_2266_seed_11959_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 03:09:37.139 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:09:37.144 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 03:10:39.518 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000169/group_0/index_2266_seed_11960_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 03:10:40.169 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 03:10:40.310 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 03:10:41.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 03:12:34.734 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.38s (1.89min)
+2026-04-26 03:12:35.507 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 169: training:  50%|█████     | 1/2 [03:27<03:27, 207.19s/it]             2026-04-26 03:19:33.201 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 170, train_steps: 6800
+Global Step 169: training: 100%|██████████| 2/2 [06:57<00:00, 208.84s/it]0, 10.18s/it]
+2026-04-26 03:19:33.754 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 170	train_steps 6800	{'step': '170/10000', 'learning_rate': '0.00001000', 'loss': '3.166e-08', 'grad_norm': '0.00346562', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.17266846', 'grpo_loop_time': '417.67761230', 'ref_model_time': '113.37808228', 'approx_kl': '2.616e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.166e-08', 'kl_loss': '0.00087389', 'kl_moving': '0.00087389', 'kl_stepwise': '7.989e-10', 'gathered_avg_reward_mean': '-0.63299626', 'gathered_avg_reward_std': '0.93573558', 'gathered_videoalign_local_mq_reward_mean': '-0.56299835', 'gathered_videoalign_local_mq_reward_std': '0.42597720', 'gathered_videoalign_local_overall_reward_mean': '-1.43189526', 'gathered_videoalign_local_overall_reward_std': '1.14773834', 'gathered_videoalign_local_ta_reward_mean': '0.16590281', 'gathered_videoalign_local_ta_reward_std': '0.79368263', 'gathered_videoalign_local_vq_reward_mean': '-1.03479981', 'gathered_videoalign_local_vq_reward_std': '0.29965705', 'gathered_ori_avg_reward_mean': '-0.63299626', 'gathered_ori_avg_reward_std': '0.93573558'}
+2026-04-26 03:20:08.956 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=170 (missing=0, unexpected=0)
+2026-04-26 03:20:11.272 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 03:20:11.360 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:20:11.405 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-04-26 03:21:15.922 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000170/group_0/index_4261_seed_6135_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 03:21:16.522 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:21:16.523 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 03:22:18.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000170/group_0/index_4261_seed_6136_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 03:22:19.137 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 03:22:19.276 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 03:22:20.111 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.34s/it]
+2026-04-26 03:24:13.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.36s (1.89min)
+2026-04-26 03:24:14.340 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 170: training:  50%|█████     | 1/2 [03:25<03:25, 205.56s/it]             2026-04-26 03:31:10.534 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 171, train_steps: 6840
+Global Step 170: training: 100%|██████████| 2/2 [06:56<00:00, 208.09s/it]0, 10.20s/it]
+2026-04-26 03:31:11.087 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 171	train_steps 6840	{'step': '171/10000', 'learning_rate': '0.00001000', 'loss': '5.588e-09', 'grad_norm': '0.00328782', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.97293091', 'grpo_loop_time': '416.19134521', 'ref_model_time': '113.35654449', 'approx_kl': '2.314e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.588e-09', 'kl_loss': '0.00068581', 'kl_moving': '0.00068581', 'kl_stepwise': '1.624e-09', 'gathered_avg_reward_mean': '-0.82436103', 'gathered_avg_reward_std': '0.84785962', 'gathered_videoalign_local_mq_reward_mean': '-0.58800745', 'gathered_videoalign_local_mq_reward_std': '0.50765669', 'gathered_videoalign_local_overall_reward_mean': '-1.64905071', 'gathered_videoalign_local_overall_reward_std': '1.06217957', 'gathered_videoalign_local_ta_reward_mean': '0.00032845', 'gathered_videoalign_local_ta_reward_std': '0.77584529', 'gathered_videoalign_local_vq_reward_mean': '-1.06137156', 'gathered_videoalign_local_vq_reward_std': '0.33931476', 'gathered_ori_avg_reward_mean': '-0.82436109', 'gathered_ori_avg_reward_std': '0.84785962'}
+2026-04-26 03:31:11.194 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 03:31:11.284 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:31:11.299 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 03:32:14.315 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000171/group_0/index_8454_seed_19743_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 03:32:14.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:32:14.898 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 03:33:16.765 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000171/group_0/index_8454_seed_19744_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 03:33:17.359 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 03:33:17.501 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 03:33:18.364 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-04-26 03:35:12.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.43s (1.91min)
+2026-04-26 03:35:13.635 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 171: training:  50%|█████     | 1/2 [03:25<03:25, 205.36s/it]             2026-04-26 03:42:09.585 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 172, train_steps: 6880
+Global Step 171: training: 100%|██████████| 2/2 [06:55<00:00, 207.99s/it]0, 10.17s/it]
+2026-04-26 03:42:10.149 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 172	train_steps 6880	{'step': '172/10000', 'learning_rate': '0.00001000', 'loss': '1.000e-07', 'grad_norm': '0.00304997', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.35411072', 'grpo_loop_time': '415.97985840', 'ref_model_time': '114.42926788', 'approx_kl': '2.280e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.000e-07', 'kl_loss': '0.00074699', 'kl_moving': '0.00074699', 'kl_stepwise': '1.368e-09', 'gathered_avg_reward_mean': '-0.84242660', 'gathered_avg_reward_std': '0.62558210', 'gathered_videoalign_local_mq_reward_mean': '-0.72342503', 'gathered_videoalign_local_mq_reward_std': '0.39555892', 'gathered_videoalign_local_overall_reward_mean': '-1.77463531', 'gathered_videoalign_local_overall_reward_std': '0.72458822', 'gathered_videoalign_local_ta_reward_mean': '0.08978195', 'gathered_videoalign_local_ta_reward_std': '0.62717557', 'gathered_videoalign_local_vq_reward_mean': '-1.14099216', 'gathered_videoalign_local_vq_reward_std': '0.23354991', 'gathered_ori_avg_reward_mean': '-0.84242654', 'gathered_ori_avg_reward_std': '0.62558210'}
+2026-04-26 03:42:10.336 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 03:42:10.425 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:42:10.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 03:43:13.348 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000172/group_0/index_8254_seed_31702_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 03:43:13.902 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:43:13.905 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 03:44:15.963 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000172/group_0/index_8254_seed_31703_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 03:44:16.592 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 03:44:16.733 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 03:44:17.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 03:46:12.307 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.66s (1.91min)
+2026-04-26 03:46:13.090 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 172: training:  50%|█████     | 1/2 [03:25<03:25, 205.95s/it]             2026-04-26 03:53:09.252 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 173, train_steps: 6920
+Global Step 172: training: 100%|██████████| 2/2 [06:56<00:00, 208.09s/it]0, 10.17s/it]
+2026-04-26 03:53:09.897 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 173	train_steps 6920	{'step': '173/10000', 'learning_rate': '0.00001000', 'loss': '7.544e-08', 'grad_norm': '0.00324254', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.66923523', 'grpo_loop_time': '416.17449951', 'ref_model_time': '114.65814972', 'approx_kl': '2.678e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.544e-08', 'kl_loss': '0.00075072', 'kl_moving': '0.00075072', 'kl_stepwise': '1.726e-09', 'gathered_avg_reward_mean': '-0.58850843', 'gathered_avg_reward_std': '0.87537330', 'gathered_videoalign_local_mq_reward_mean': '-0.59344471', 'gathered_videoalign_local_mq_reward_std': '0.69625449', 'gathered_videoalign_local_overall_reward_mean': '-1.43197823', 'gathered_videoalign_local_overall_reward_std': '1.28201783', 'gathered_videoalign_local_ta_reward_mean': '0.25496149', 'gathered_videoalign_local_ta_reward_std': '0.64682668', 'gathered_videoalign_local_vq_reward_mean': '-1.09349513', 'gathered_videoalign_local_vq_reward_std': '0.37253320', 'gathered_ori_avg_reward_mean': '-0.58850837', 'gathered_ori_avg_reward_std': '0.87537330'}
+2026-04-26 03:53:09.942 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 03:53:10.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:53:10.087 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 03:54:12.786 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000173/group_0/index_4468_seed_16539_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 03:54:13.371 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 03:54:13.374 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 03:55:15.340 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000173/group_0/index_4468_seed_16540_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 03:55:15.891 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 03:55:16.037 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 03:55:16.936 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.73s/it]
+2026-04-26 03:57:11.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.36s (1.91min)
+2026-04-26 03:57:12.083 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 173: training:  50%|█████     | 1/2 [03:26<03:26, 206.46s/it]             2026-04-26 04:04:09.214 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 174, train_steps: 6960
+Global Step 173: training: 100%|██████████| 2/2 [06:57<00:00, 208.56s/it]0, 10.19s/it]
+2026-04-26 04:04:09.860 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 174	train_steps 6960	{'step': '174/10000', 'learning_rate': '0.00001000', 'loss': '-6.426e-08', 'grad_norm': '0.00284473', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.05854797', 'grpo_loop_time': '417.12933350', 'ref_model_time': '114.35719299', 'approx_kl': '2.405e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.426e-08', 'kl_loss': '0.00071676', 'kl_moving': '0.00071676', 'kl_stepwise': '1.397e-09', 'gathered_avg_reward_mean': '-0.89715356', 'gathered_avg_reward_std': '0.74303150', 'gathered_videoalign_local_mq_reward_mean': '-0.76117420', 'gathered_videoalign_local_mq_reward_std': '0.30815694', 'gathered_videoalign_local_overall_reward_mean': '-1.84314668', 'gathered_videoalign_local_overall_reward_std': '0.80525130', 'gathered_videoalign_local_ta_reward_mean': '0.04883967', 'gathered_videoalign_local_ta_reward_std': '0.77460527', 'gathered_videoalign_local_vq_reward_mean': '-1.13081217', 'gathered_videoalign_local_vq_reward_std': '0.31829992', 'gathered_ori_avg_reward_mean': '-0.89715356', 'gathered_ori_avg_reward_std': '0.74303156'}
+2026-04-26 04:04:09.902 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 04:04:09.999 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:04:10.039 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:05:12.882 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000174/group_0/index_2797_seed_13962_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 04:05:14.072 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:05:14.075 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:06:15.985 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000174/group_0/index_2797_seed_13963_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 04:06:16.552 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 04:06:16.693 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 04:06:17.500 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.97s/it]
+2026-04-26 04:08:11.874 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.28s (1.90min)
+2026-04-26 04:08:12.642 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 174: training:  50%|█████     | 1/2 [03:25<03:25, 205.75s/it]             2026-04-26 04:15:08.467 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 175, train_steps: 7000
+Global Step 174: training: 100%|██████████| 2/2 [06:55<00:00, 207.92s/it]0, 10.17s/it]
+2026-04-26 04:15:09.106 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 175	train_steps 7000	{'step': '175/10000', 'learning_rate': '0.00001000', 'loss': '-6.799e-08', 'grad_norm': '0.00255217', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.65747070', 'grpo_loop_time': '415.84173584', 'ref_model_time': '114.27711487', 'approx_kl': '2.476e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.799e-08', 'kl_loss': '0.00067403', 'kl_moving': '0.00067403', 'kl_stepwise': '9.604e-10', 'gathered_avg_reward_mean': '-0.74992180', 'gathered_avg_reward_std': '0.74023509', 'gathered_videoalign_local_mq_reward_mean': '-0.68891877', 'gathered_videoalign_local_mq_reward_std': '0.35425258', 'gathered_videoalign_local_overall_reward_mean': '-1.62137723', 'gathered_videoalign_local_overall_reward_std': '0.90432656', 'gathered_videoalign_local_ta_reward_mean': '0.12153365', 'gathered_videoalign_local_ta_reward_std': '0.64010191', 'gathered_videoalign_local_vq_reward_mean': '-1.05399215', 'gathered_videoalign_local_vq_reward_std': '0.23367040', 'gathered_ori_avg_reward_mean': '-0.74992180', 'gathered_ori_avg_reward_std': '0.74023509'}
+2026-04-26 04:15:09.150 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 04:15:09.244 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:15:09.269 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:16:12.056 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000175/group_0/index_5551_seed_26851_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 04:16:12.668 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:16:12.671 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:17:14.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000175/group_0/index_5551_seed_26852_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 04:17:15.084 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 04:17:15.162 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 04:17:16.091 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.32s/it]
+2026-04-26 04:19:10.352 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.22s (1.90min)
+2026-04-26 04:19:11.123 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 175: training:  50%|█████     | 1/2 [03:25<03:25, 205.65s/it]             2026-04-26 04:26:07.149 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 176, train_steps: 7040
+Global Step 175: training: 100%|██████████| 2/2 [06:56<00:00, 208.02s/it]0, 10.18s/it]
+2026-04-26 04:26:07.801 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 176	train_steps 7040	{'step': '176/10000', 'learning_rate': '0.00001000', 'loss': '7.357e-08', 'grad_norm': '0.00272168', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.89158630', 'grpo_loop_time': '416.03640747', 'ref_model_time': '114.21882629', 'approx_kl': '2.418e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.357e-08', 'kl_loss': '0.00070049', 'kl_moving': '0.00070049', 'kl_stepwise': '7.203e-10', 'gathered_avg_reward_mean': '-0.91169280', 'gathered_avg_reward_std': '0.57905006', 'gathered_videoalign_local_mq_reward_mean': '-0.74016726', 'gathered_videoalign_local_mq_reward_std': '0.34195155', 'gathered_videoalign_local_overall_reward_mean': '-1.82225025', 'gathered_videoalign_local_overall_reward_std': '0.74104017', 'gathered_videoalign_local_ta_reward_mean': '-0.00113542', 'gathered_videoalign_local_ta_reward_std': '0.51629490', 'gathered_videoalign_local_vq_reward_mean': '-1.08094740', 'gathered_videoalign_local_vq_reward_std': '0.28394541', 'gathered_ori_avg_reward_mean': '-0.91169280', 'gathered_ori_avg_reward_std': '0.57905006'}
+2026-04-26 04:26:07.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 04:26:07.934 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:26:07.971 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:27:10.823 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000176/group_0/index_786_seed_8818_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 04:27:11.394 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:27:11.397 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:28:13.143 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000176/group_0/index_786_seed_8819_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 04:28:13.766 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 04:28:13.849 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 04:28:14.669 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-04-26 04:30:07.325 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.51s (1.88min)
+2026-04-26 04:30:08.082 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 176: training:  50%|█████     | 1/2 [03:25<03:25, 205.76s/it]             2026-04-26 04:37:03.975 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 177, train_steps: 7080
+Global Step 176: training: 100%|██████████| 2/2 [06:55<00:00, 207.94s/it]0, 10.17s/it]
+2026-04-26 04:37:04.627 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 177	train_steps 7080	{'step': '177/10000', 'learning_rate': '0.00001000', 'loss': '5.215e-08', 'grad_norm': '0.00281472', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.15734863', 'grpo_loop_time': '415.88677979', 'ref_model_time': '112.50986481', 'approx_kl': '2.517e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.215e-08', 'kl_loss': '0.00079488', 'kl_moving': '0.00079488', 'kl_stepwise': '9.473e-10', 'gathered_avg_reward_mean': '-0.94070530', 'gathered_avg_reward_std': '0.64165586', 'gathered_videoalign_local_mq_reward_mean': '-0.71038389', 'gathered_videoalign_local_mq_reward_std': '0.36812800', 'gathered_videoalign_local_overall_reward_mean': '-1.88170588', 'gathered_videoalign_local_overall_reward_std': '0.77829611', 'gathered_videoalign_local_ta_reward_mean': '0.00029502', 'gathered_videoalign_local_ta_reward_std': '0.58440441', 'gathered_videoalign_local_vq_reward_mean': '-1.17161691', 'gathered_videoalign_local_vq_reward_std': '0.24184400', 'gathered_ori_avg_reward_mean': '-0.94070542', 'gathered_ori_avg_reward_std': '0.64165580'}
+2026-04-26 04:37:04.671 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 04:37:04.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:37:04.803 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 04:38:07.468 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000177/group_0/index_2420_seed_29966_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 04:38:08.061 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:38:08.065 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 04:39:10.536 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000177/group_0/index_2420_seed_29967_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 04:39:11.260 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 04:39:11.406 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 04:39:12.178 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-04-26 04:41:05.462 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-04-26 04:41:06.230 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 177: training:  50%|█████     | 1/2 [03:24<03:24, 204.72s/it]             2026-04-26 04:48:01.066 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 178, train_steps: 7120
+Global Step 177: training: 100%|██████████| 2/2 [06:54<00:00, 207.43s/it]0, 10.17s/it]
+2026-04-26 04:48:01.744 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 178	train_steps 7120	{'step': '178/10000', 'learning_rate': '0.00001000', 'loss': '1.480e-07', 'grad_norm': '0.00323988', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.47621155', 'grpo_loop_time': '414.86459351', 'ref_model_time': '113.14324951', 'approx_kl': '2.343e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.480e-07', 'kl_loss': '0.00079160', 'kl_moving': '0.00079160', 'kl_stepwise': '1.163e-09', 'gathered_avg_reward_mean': '-0.60728914', 'gathered_avg_reward_std': '0.55787176', 'gathered_videoalign_local_mq_reward_mean': '-0.56531608', 'gathered_videoalign_local_mq_reward_std': '0.46185553', 'gathered_videoalign_local_overall_reward_mean': '-1.43705547', 'gathered_videoalign_local_overall_reward_std': '0.74897826', 'gathered_videoalign_local_ta_reward_mean': '0.22247712', 'gathered_videoalign_local_ta_reward_std': '0.52952582', 'gathered_videoalign_local_vq_reward_mean': '-1.09421647', 'gathered_videoalign_local_vq_reward_std': '0.31028140', 'gathered_ori_avg_reward_mean': '-0.60728908', 'gathered_ori_avg_reward_std': '0.55787176'}
+2026-04-26 04:48:01.792 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 04:48:01.888 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:48:01.915 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 04:49:04.581 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000178/group_0/index_8420_seed_11922_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 04:49:05.155 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:49:05.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-04-26 04:50:08.251 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000178/group_0/index_8420_seed_11923_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 04:50:08.888 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 04:50:09.028 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 04:50:09.913 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 04:52:03.279 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.33s (1.89min)
+2026-04-26 04:52:04.127 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 178: training:  50%|█████     | 1/2 [03:25<03:25, 205.20s/it]             2026-04-26 04:58:59.509 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 179, train_steps: 7160
+Global Step 178: training: 100%|██████████| 2/2 [06:55<00:00, 207.68s/it]0, 10.17s/it]
+2026-04-26 04:59:00.046 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 179	train_steps 7160	{'step': '179/10000', 'learning_rate': '0.00001000', 'loss': '4.470e-08', 'grad_norm': '0.00370345', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.18220520', 'grpo_loop_time': '415.37066650', 'ref_model_time': '113.32673645', 'approx_kl': '2.528e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.470e-08', 'kl_loss': '0.00079433', 'kl_moving': '0.00079433', 'kl_stepwise': '3.769e-10', 'gathered_avg_reward_mean': '-0.70287097', 'gathered_avg_reward_std': '0.57820857', 'gathered_videoalign_local_mq_reward_mean': '-0.65739489', 'gathered_videoalign_local_mq_reward_std': '0.43945542', 'gathered_videoalign_local_overall_reward_mean': '-1.56946397', 'gathered_videoalign_local_overall_reward_std': '0.68816698', 'gathered_videoalign_local_ta_reward_mean': '0.16372219', 'gathered_videoalign_local_ta_reward_std': '0.63742542', 'gathered_videoalign_local_vq_reward_mean': '-1.07579136', 'gathered_videoalign_local_vq_reward_std': '0.34412119', 'gathered_ori_avg_reward_mean': '-0.70287097', 'gathered_ori_avg_reward_std': '0.57820857'}
+2026-04-26 04:59:00.161 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 04:59:00.251 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 04:59:00.265 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:00:02.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000179/group_0/index_7617_seed_32476_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 05:00:04.080 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:00:04.081 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:01:05.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000179/group_0/index_7617_seed_32477_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 05:01:06.656 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 05:01:06.726 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 05:01:07.670 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.51s/it]
+2026-04-26 05:03:00.423 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.71s (1.88min)
+2026-04-26 05:03:01.214 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 179: training:  50%|█████     | 1/2 [03:27<03:27, 207.74s/it]             2026-04-26 05:09:59.564 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 180, train_steps: 7200
+Global Step 179: training: 100%|██████████| 2/2 [06:58<00:00, 209.12s/it]0, 10.18s/it]
+2026-04-26 05:10:00.115 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 180	train_steps 7200	{'step': '180/10000', 'learning_rate': '0.00001000', 'loss': '-2.387e-08', 'grad_norm': '0.00264431', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.94859314', 'grpo_loop_time': '418.23587036', 'ref_model_time': '112.71281433', 'approx_kl': '2.216e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.387e-08', 'kl_loss': '0.00080357', 'kl_moving': '0.00080357', 'kl_stepwise': '1.548e-09', 'gathered_avg_reward_mean': '-0.89546126', 'gathered_avg_reward_std': '0.81070596', 'gathered_videoalign_local_mq_reward_mean': '-0.80235052', 'gathered_videoalign_local_mq_reward_std': '0.27955124', 'gathered_videoalign_local_overall_reward_mean': '-1.91060114', 'gathered_videoalign_local_overall_reward_std': '0.84660190', 'gathered_videoalign_local_ta_reward_mean': '0.11967875', 'gathered_videoalign_local_ta_reward_std': '0.82342428', 'gathered_videoalign_local_vq_reward_mean': '-1.22792935', 'gathered_videoalign_local_vq_reward_std': '0.18115029', 'gathered_ori_avg_reward_mean': '-0.89546120', 'gathered_ori_avg_reward_std': '0.81070596'}
+2026-04-26 05:10:35.098 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=180 (missing=0, unexpected=0)
+2026-04-26 05:10:36.708 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 05:10:36.798 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:10:36.849 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-26 05:11:40.706 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000180/group_0/index_9409_seed_10560_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 05:11:41.279 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:11:41.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:12:43.050 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000180/group_0/index_9409_seed_10561_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 05:12:43.760 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 05:12:43.902 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 05:12:44.746 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-04-26 05:14:37.482 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.63s (1.88min)
+2026-04-26 05:14:38.260 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 180: training:  50%|█████     | 1/2 [03:27<03:27, 207.23s/it]             2026-04-26 05:21:35.542 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 181, train_steps: 7240
+Global Step 180: training: 100%|██████████| 2/2 [06:57<00:00, 208.65s/it]0, 10.16s/it]
+2026-04-26 05:21:36.198 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 181	train_steps 7240	{'step': '181/10000', 'learning_rate': '0.00001000', 'loss': '-1.863e-08', 'grad_norm': '0.00390582', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.46945190', 'grpo_loop_time': '417.29840088', 'ref_model_time': '112.63394928', 'approx_kl': '2.412e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.863e-08', 'kl_loss': '0.00079057', 'kl_moving': '0.00079057', 'kl_stepwise': '1.246e-09', 'gathered_avg_reward_mean': '-0.85687143', 'gathered_avg_reward_std': '0.77123249', 'gathered_videoalign_local_mq_reward_mean': '-0.68637282', 'gathered_videoalign_local_mq_reward_std': '0.42507908', 'gathered_videoalign_local_overall_reward_mean': '-1.74322939', 'gathered_videoalign_local_overall_reward_std': '0.99191517', 'gathered_videoalign_local_ta_reward_mean': '0.02948648', 'gathered_videoalign_local_ta_reward_std': '0.66903341', 'gathered_videoalign_local_vq_reward_mean': '-1.08634305', 'gathered_videoalign_local_vq_reward_std': '0.34615254', 'gathered_ori_avg_reward_mean': '-0.85687149', 'gathered_ori_avg_reward_std': '0.77123255'}
+2026-04-26 05:21:36.245 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 05:21:36.340 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:21:36.382 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 05:22:38.931 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000181/group_0/index_2505_seed_5406_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 05:22:39.490 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:22:39.733 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:23:41.596 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000181/group_0/index_2505_seed_5407_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 05:23:42.249 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 05:23:42.349 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 05:23:43.322 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.64s/it]
+2026-04-26 05:25:35.645 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.32s (1.87min)
+2026-04-26 05:25:36.410 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 181: training:  50%|█████     | 1/2 [03:27<03:27, 207.37s/it]             2026-04-26 05:32:34.256 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 182, train_steps: 7280
+Global Step 181: training: 100%|██████████| 2/2 [06:57<00:00, 208.91s/it]0, 10.19s/it]
+2026-04-26 05:32:34.820 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 182	train_steps 7280	{'step': '182/10000', 'learning_rate': '0.00001000', 'loss': '5.588e-08', 'grad_norm': '0.00282490', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.08531189', 'grpo_loop_time': '417.81970215', 'ref_model_time': '112.32182312', 'approx_kl': '2.397e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.588e-08', 'kl_loss': '0.00070759', 'kl_moving': '0.00070759', 'kl_stepwise': '1.781e-09', 'gathered_avg_reward_mean': '-0.81224537', 'gathered_avg_reward_std': '0.93420213', 'gathered_videoalign_local_mq_reward_mean': '-0.62261212', 'gathered_videoalign_local_mq_reward_std': '0.37639982', 'gathered_videoalign_local_overall_reward_mean': '-1.62481904', 'gathered_videoalign_local_overall_reward_std': '1.16312993', 'gathered_videoalign_local_ta_reward_mean': '0.00032844', 'gathered_videoalign_local_ta_reward_std': '0.80059707', 'gathered_videoalign_local_vq_reward_mean': '-1.00253534', 'gathered_videoalign_local_vq_reward_std': '0.40893254', 'gathered_ori_avg_reward_mean': '-0.81224531', 'gathered_ori_avg_reward_std': '0.93420213'}
+2026-04-26 05:32:34.939 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 05:32:35.028 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:32:35.063 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 05:33:38.078 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000182/group_0/index_3757_seed_13202_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 05:33:38.692 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:33:38.696 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 05:34:40.868 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000182/group_0/index_3757_seed_13203_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 05:34:41.458 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 05:34:41.595 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 05:34:42.533 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-04-26 05:36:35.534 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.95s (1.88min)
+2026-04-26 05:36:36.315 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 182: training:  50%|█████     | 1/2 [03:27<03:27, 207.42s/it]             2026-04-26 05:43:34.163 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 183, train_steps: 7320
+Global Step 182: training: 100%|██████████| 2/2 [06:57<00:00, 208.92s/it]0, 10.18s/it]
+2026-04-26 05:43:34.765 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 183	train_steps 7320	{'step': '183/10000', 'learning_rate': '0.00001000', 'loss': '-7.451e-08', 'grad_norm': '0.00279208', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.29626465', 'grpo_loop_time': '417.84317017', 'ref_model_time': '112.95016479', 'approx_kl': '2.204e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.451e-08', 'kl_loss': '0.00073596', 'kl_moving': '0.00073596', 'kl_stepwise': '1.185e-09', 'gathered_avg_reward_mean': '-1.31787992', 'gathered_avg_reward_std': '0.79968107', 'gathered_videoalign_local_mq_reward_mean': '-0.69892377', 'gathered_videoalign_local_mq_reward_std': '0.37909833', 'gathered_videoalign_local_overall_reward_mean': '-2.25912690', 'gathered_videoalign_local_overall_reward_std': '1.00132513', 'gathered_videoalign_local_ta_reward_mean': '-0.37663275', 'gathered_videoalign_local_ta_reward_std': '0.63424003', 'gathered_videoalign_local_vq_reward_mean': '-1.18357038', 'gathered_videoalign_local_vq_reward_std': '0.21662855', 'gathered_ori_avg_reward_mean': '-1.31787992', 'gathered_ori_avg_reward_std': '0.79968101'}
+2026-04-26 05:43:34.831 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 05:43:34.920 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:43:34.965 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:44:37.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000183/group_0/index_9857_seed_1086_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 05:44:38.466 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:44:38.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:45:40.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000183/group_0/index_9857_seed_1087_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 05:45:41.059 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 05:45:41.199 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 05:45:41.978 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.05s/it]
+2026-04-26 05:47:35.069 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.95s (1.88min)
+2026-04-26 05:47:35.837 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 183: training:  50%|█████     | 1/2 [03:27<03:27, 207.05s/it]             2026-04-26 05:54:33.299 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 184, train_steps: 7360
+Global Step 183: training: 100%|██████████| 2/2 [06:57<00:00, 208.72s/it]0, 10.18s/it]
+2026-04-26 05:54:33.950 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 184	train_steps 7360	{'step': '184/10000', 'learning_rate': '0.00001000', 'loss': '2.980e-08', 'grad_norm': '0.00267291', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.92759705', 'grpo_loop_time': '417.44851685', 'ref_model_time': '112.95127106', 'approx_kl': '2.388e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.980e-08', 'kl_loss': '0.00070303', 'kl_moving': '0.00070303', 'kl_stepwise': '8.891e-10', 'gathered_avg_reward_mean': '-0.81075704', 'gathered_avg_reward_std': '0.59137219', 'gathered_videoalign_local_mq_reward_mean': '-0.76536858', 'gathered_videoalign_local_mq_reward_std': '0.29984695', 'gathered_videoalign_local_overall_reward_mean': '-1.73402536', 'gathered_videoalign_local_overall_reward_std': '0.69086939', 'gathered_videoalign_local_ta_reward_mean': '0.11251131', 'gathered_videoalign_local_ta_reward_std': '0.55371612', 'gathered_videoalign_local_vq_reward_mean': '-1.08116817', 'gathered_videoalign_local_vq_reward_std': '0.21016778', 'gathered_ori_avg_reward_mean': '-0.81075704', 'gathered_ori_avg_reward_std': '0.59137219'}
+2026-04-26 05:54:33.993 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 05:54:34.088 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:54:34.123 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 05:55:37.527 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000184/group_0/index_9587_seed_30337_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 05:55:38.533 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 05:55:38.537 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 05:56:40.358 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000184/group_0/index_9587_seed_30338_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 05:56:41.071 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 05:56:41.118 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 05:56:42.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.32s/it]
+2026-04-26 05:58:34.917 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.79s (1.88min)
+2026-04-26 05:58:35.686 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 184: training:  50%|█████     | 1/2 [03:27<03:27, 207.38s/it]             2026-04-26 06:05:33.618 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 185, train_steps: 7400
+Global Step 184: training: 100%|██████████| 2/2 [06:57<00:00, 208.96s/it]0, 10.18s/it]
+2026-04-26 06:05:34.170 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 185	train_steps 7400	{'step': '185/10000', 'learning_rate': '0.00001000', 'loss': '1.173e-07', 'grad_norm': '0.00321661', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.61367798', 'grpo_loop_time': '417.91427612', 'ref_model_time': '112.79020691', 'approx_kl': '2.390e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.173e-07', 'kl_loss': '0.00082689', 'kl_moving': '0.00082689', 'kl_stepwise': '9.197e-10', 'gathered_avg_reward_mean': '-0.78267735', 'gathered_avg_reward_std': '0.95197606', 'gathered_videoalign_local_mq_reward_mean': '-0.70076084', 'gathered_videoalign_local_mq_reward_std': '0.54433531', 'gathered_videoalign_local_overall_reward_mean': '-1.66859078', 'gathered_videoalign_local_overall_reward_std': '1.22679424', 'gathered_videoalign_local_ta_reward_mean': '0.10323611', 'gathered_videoalign_local_ta_reward_std': '0.78987402', 'gathered_videoalign_local_vq_reward_mean': '-1.07106614', 'gathered_videoalign_local_vq_reward_std': '0.30550891', 'gathered_ori_avg_reward_mean': '-0.78267735', 'gathered_ori_avg_reward_std': '0.95197612'}
+2026-04-26 06:05:34.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 06:05:34.378 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:05:34.402 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 06:06:37.219 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000185/group_0/index_8410_seed_22470_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 06:06:37.796 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:06:37.802 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 06:07:39.664 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000185/group_0/index_8410_seed_22471_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 06:07:40.322 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 06:07:40.369 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 06:07:41.375 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:35<00:00, 47.91s/it]
+2026-04-26 06:09:34.628 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.17s (1.89min)
+2026-04-26 06:09:35.400 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 185: training:  50%|█████     | 1/2 [03:27<03:27, 207.00s/it]             2026-04-26 06:16:33.550 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 186, train_steps: 7440
+Global Step 185: training: 100%|██████████| 2/2 [06:58<00:00, 209.07s/it]0, 10.23s/it]
+2026-04-26 06:16:34.101 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 186	train_steps 7440	{'step': '186/10000', 'learning_rate': '0.00001000', 'loss': '8.382e-08', 'grad_norm': '0.00307020', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.02912903', 'grpo_loop_time': '418.14019775', 'ref_model_time': '113.17286682', 'approx_kl': '2.442e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.382e-08', 'kl_loss': '0.00078342', 'kl_moving': '0.00078342', 'kl_stepwise': '9.779e-10', 'gathered_avg_reward_mean': '-1.04548621', 'gathered_avg_reward_std': '0.79520386', 'gathered_videoalign_local_mq_reward_mean': '-0.65809047', 'gathered_videoalign_local_mq_reward_std': '0.51525396', 'gathered_videoalign_local_overall_reward_mean': '-1.90110815', 'gathered_videoalign_local_overall_reward_std': '1.09240031', 'gathered_videoalign_local_ta_reward_mean': '-0.18986431', 'gathered_videoalign_local_ta_reward_std': '0.66459364', 'gathered_videoalign_local_vq_reward_mean': '-1.05315340', 'gathered_videoalign_local_vq_reward_std': '0.41551664', 'gathered_ori_avg_reward_mean': '-1.04548621', 'gathered_ori_avg_reward_std': '0.79520386'}
+2026-04-26 06:16:34.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 06:16:34.273 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:16:34.319 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 06:17:37.194 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000186/group_0/index_829_seed_21057_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 06:17:37.776 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:17:37.783 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 06:18:39.620 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000186/group_0/index_829_seed_21058_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 06:18:40.178 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 06:18:40.326 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 06:18:41.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.05s/it]
+2026-04-26 06:20:34.391 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.98s (1.88min)
+2026-04-26 06:20:35.162 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 186: training:  50%|█████     | 1/2 [03:26<03:26, 206.81s/it]             2026-04-26 06:27:33.291 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 187, train_steps: 7480
+Global Step 186: training: 100%|██████████| 2/2 [06:58<00:00, 209.03s/it]0, 10.22s/it]
+2026-04-26 06:27:33.850 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 187	train_steps 7480	{'step': '187/10000', 'learning_rate': '0.00001000', 'loss': '-7.031e-08', 'grad_norm': '0.00392687', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.90107727', 'grpo_loop_time': '418.06539917', 'ref_model_time': '112.98480988', 'approx_kl': '2.374e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.031e-08', 'kl_loss': '0.00083595', 'kl_moving': '0.00083595', 'kl_stepwise': '9.255e-10', 'gathered_avg_reward_mean': '-1.03983045', 'gathered_avg_reward_std': '0.79695147', 'gathered_videoalign_local_mq_reward_mean': '-0.80332065', 'gathered_videoalign_local_mq_reward_std': '0.31612983', 'gathered_videoalign_local_overall_reward_mean': '-2.02001953', 'gathered_videoalign_local_overall_reward_std': '0.93514937', 'gathered_videoalign_local_ta_reward_mean': '-0.05964093', 'gathered_videoalign_local_ta_reward_std': '0.70257843', 'gathered_videoalign_local_vq_reward_mean': '-1.15705812', 'gathered_videoalign_local_vq_reward_std': '0.28489837', 'gathered_ori_avg_reward_mean': '-1.03983045', 'gathered_ori_avg_reward_std': '0.79695147'}
+2026-04-26 06:27:33.962 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 06:27:34.050 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:27:34.164 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 06:28:37.516 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000187/group_0/index_8441_seed_16534_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 06:28:38.185 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:28:38.186 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 06:29:40.319 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000187/group_0/index_8441_seed_16535_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 06:29:40.928 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 06:29:41.070 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 06:29:41.982 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-04-26 06:31:34.411 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.42s (1.87min)
+2026-04-26 06:31:35.190 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 187: training:  50%|█████     | 1/2 [03:26<03:26, 206.85s/it]             2026-04-26 06:38:33.358 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 188, train_steps: 7520
+Global Step 187: training: 100%|██████████| 2/2 [06:58<00:00, 209.08s/it]0, 10.21s/it]
+2026-04-26 06:38:33.983 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 188	train_steps 7520	{'step': '188/10000', 'learning_rate': '0.00001000', 'loss': '-4.750e-08', 'grad_norm': '0.00330568', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.14733887', 'grpo_loop_time': '418.15399170', 'ref_model_time': '112.42494202', 'approx_kl': '2.286e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.750e-08', 'kl_loss': '0.00071448', 'kl_moving': '0.00071448', 'kl_stepwise': '1.515e-09', 'gathered_avg_reward_mean': '-1.10110736', 'gathered_avg_reward_std': '0.58908343', 'gathered_videoalign_local_mq_reward_mean': '-0.68106914', 'gathered_videoalign_local_mq_reward_std': '0.36236534', 'gathered_videoalign_local_overall_reward_mean': '-2.04369307', 'gathered_videoalign_local_overall_reward_std': '0.66758847', 'gathered_videoalign_local_ta_reward_mean': '-0.15852186', 'gathered_videoalign_local_ta_reward_std': '0.59070820', 'gathered_videoalign_local_vq_reward_mean': '-1.20410204', 'gathered_videoalign_local_vq_reward_std': '0.15852782', 'gathered_ori_avg_reward_mean': '-1.10110736', 'gathered_ori_avg_reward_std': '0.58908349'}
+2026-04-26 06:38:34.053 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 06:38:34.150 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:38:34.193 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 06:39:37.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000188/group_0/index_5099_seed_25766_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 06:39:38.012 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:39:38.015 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 06:40:39.927 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000188/group_0/index_5099_seed_25767_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 06:40:40.478 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 06:40:40.524 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 06:40:41.449 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.56s/it]
+2026-04-26 06:42:34.510 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.98s (1.88min)
+2026-04-26 06:42:35.233 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 188: training:  50%|█████     | 1/2 [03:27<03:27, 207.33s/it]             2026-04-26 06:49:33.041 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 189, train_steps: 7560
+Global Step 188: training: 100%|██████████| 2/2 [06:57<00:00, 208.94s/it]0, 10.18s/it]
+2026-04-26 06:49:33.754 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 189	train_steps 7560	{'step': '189/10000', 'learning_rate': '0.00001000', 'loss': '-6.962e-08', 'grad_norm': '0.00689341', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.10484314', 'grpo_loop_time': '417.88470459', 'ref_model_time': '112.98339844', 'approx_kl': '2.401e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.962e-08', 'kl_loss': '0.00079842', 'kl_moving': '0.00079842', 'kl_stepwise': '9.517e-10', 'gathered_avg_reward_mean': '-0.88813436', 'gathered_avg_reward_std': '0.76199925', 'gathered_videoalign_local_mq_reward_mean': '-0.66124940', 'gathered_videoalign_local_mq_reward_std': '0.42199150', 'gathered_videoalign_local_overall_reward_mean': '-1.81592715', 'gathered_videoalign_local_overall_reward_std': '0.94794929', 'gathered_videoalign_local_ta_reward_mean': '0.03965835', 'gathered_videoalign_local_ta_reward_std': '0.65905505', 'gathered_videoalign_local_vq_reward_mean': '-1.19433606', 'gathered_videoalign_local_vq_reward_std': '0.22569948', 'gathered_ori_avg_reward_mean': '-0.88813442', 'gathered_ori_avg_reward_std': '0.76199925'}
+2026-04-26 06:49:33.803 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 06:49:33.900 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:49:34.042 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 06:50:36.930 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000189/group_0/index_7114_seed_5335_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 06:50:38.117 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 06:50:38.120 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 06:51:40.267 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000189/group_0/index_7114_seed_5336_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 06:51:40.860 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 06:51:41.001 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 06:51:41.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.34s/it]
+2026-04-26 06:53:34.338 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.42s (1.87min)
+2026-04-26 06:53:35.111 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 189: training:  50%|█████     | 1/2 [03:26<03:26, 206.98s/it]             2026-04-26 07:00:32.716 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 190, train_steps: 7600
+Global Step 189: training: 100%|██████████| 2/2 [06:57<00:00, 208.86s/it]0, 10.19s/it]
+2026-04-26 07:00:33.471 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 190	train_steps 7600	{'step': '190/10000', 'learning_rate': '0.00001000', 'loss': '-1.080e-07', 'grad_norm': '0.00677192', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.22924805', 'grpo_loop_time': '417.71566772', 'ref_model_time': '112.41952515', 'approx_kl': '2.484e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.080e-07', 'kl_loss': '0.00083968', 'kl_moving': '0.00083968', 'kl_stepwise': '1.617e-09', 'gathered_avg_reward_mean': '-1.09167099', 'gathered_avg_reward_std': '0.71433508', 'gathered_videoalign_local_mq_reward_mean': '-0.69969046', 'gathered_videoalign_local_mq_reward_std': '0.48738378', 'gathered_videoalign_local_overall_reward_mean': '-2.03561234', 'gathered_videoalign_local_overall_reward_std': '0.86572015', 'gathered_videoalign_local_ta_reward_mean': '-0.14772964', 'gathered_videoalign_local_ta_reward_std': '0.68441206', 'gathered_videoalign_local_vq_reward_mean': '-1.18819213', 'gathered_videoalign_local_vq_reward_std': '0.26586944', 'gathered_ori_avg_reward_mean': '-1.09167099', 'gathered_ori_avg_reward_std': '0.71433514'}
+2026-04-26 07:01:08.546 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=190 (missing=0, unexpected=0)
+2026-04-26 07:01:10.214 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 07:01:10.631 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:01:10.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 07:02:14.532 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000190/group_0/index_7118_seed_24216_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 07:02:15.141 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:02:15.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 07:03:17.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000190/group_0/index_7118_seed_24217_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 07:03:17.679 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 07:03:17.769 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 07:03:18.762 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.47s/it]
+2026-04-26 07:05:12.203 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.41s (1.89min)
+2026-04-26 07:05:12.985 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 190: training:  50%|█████     | 1/2 [03:25<03:25, 205.40s/it]             2026-04-26 07:12:08.730 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 191, train_steps: 7640
+Global Step 190: training: 100%|██████████| 2/2 [06:55<00:00, 207.89s/it]0, 10.17s/it]
+2026-04-26 07:12:09.397 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 191	train_steps 7640	{'step': '191/10000', 'learning_rate': '0.00001000', 'loss': '-1.173e-07', 'grad_norm': '0.00414199', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.68980408', 'grpo_loop_time': '415.77670288', 'ref_model_time': '113.41132355', 'approx_kl': '2.605e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.173e-07', 'kl_loss': '0.00068570', 'kl_moving': '0.00068570', 'kl_stepwise': '1.404e-09', 'gathered_avg_reward_mean': '-0.78321797', 'gathered_avg_reward_std': '0.56479406', 'gathered_videoalign_local_mq_reward_mean': '-0.76075721', 'gathered_videoalign_local_mq_reward_std': '0.33289149', 'gathered_videoalign_local_overall_reward_mean': '-1.70255113', 'gathered_videoalign_local_overall_reward_std': '0.73836845', 'gathered_videoalign_local_ta_reward_mean': '0.13611531', 'gathered_videoalign_local_ta_reward_std': '0.50635684', 'gathered_videoalign_local_vq_reward_mean': '-1.07790947', 'gathered_videoalign_local_vq_reward_std': '0.29666740', 'gathered_ori_avg_reward_mean': '-0.78321803', 'gathered_ori_avg_reward_std': '0.56479406'}
+2026-04-26 07:12:09.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 07:12:09.544 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:12:09.650 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-26 07:13:12.358 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000191/group_0/index_1837_seed_29237_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 07:13:12.976 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:13:12.977 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 07:14:14.757 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000191/group_0/index_1837_seed_29238_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 07:14:15.352 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 07:14:15.487 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 07:14:16.328 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-26 07:16:09.713 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.29s (1.89min)
+2026-04-26 07:16:10.493 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 191: training:  50%|█████     | 1/2 [03:25<03:25, 205.00s/it]             2026-04-26 07:23:05.820 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 192, train_steps: 7680
+Global Step 191: training: 100%|██████████| 2/2 [06:55<00:00, 207.67s/it]0, 10.18s/it]
+2026-04-26 07:23:06.472 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 192	train_steps 7680	{'step': '192/10000', 'learning_rate': '0.00001000', 'loss': '6.100e-08', 'grad_norm': '0.00326032', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.96347046', 'grpo_loop_time': '415.33523560', 'ref_model_time': '113.28913116', 'approx_kl': '2.524e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.100e-08', 'kl_loss': '0.00073880', 'kl_moving': '0.00073880', 'kl_stepwise': '1.262e-09', 'gathered_avg_reward_mean': '-0.88428056', 'gathered_avg_reward_std': '0.64081806', 'gathered_videoalign_local_mq_reward_mean': '-0.75654221', 'gathered_videoalign_local_mq_reward_std': '0.38989931', 'gathered_videoalign_local_overall_reward_mean': '-1.83300197', 'gathered_videoalign_local_overall_reward_std': '0.75494695', 'gathered_videoalign_local_ta_reward_mean': '0.06444073', 'gathered_videoalign_local_ta_reward_std': '0.65441030', 'gathered_videoalign_local_vq_reward_mean': '-1.14090061', 'gathered_videoalign_local_vq_reward_std': '0.26653418', 'gathered_ori_avg_reward_mean': '-0.88428068', 'gathered_ori_avg_reward_std': '0.64081812'}
+2026-04-26 07:23:06.514 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 07:23:06.604 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:23:06.623 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 07:24:09.393 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000192/group_0/index_5354_seed_855_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 07:24:09.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:24:09.942 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 07:25:12.336 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000192/group_0/index_5354_seed_856_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 07:25:12.964 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 07:25:13.081 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 07:25:14.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-26 07:27:07.390 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.33s (1.89min)
+2026-04-26 07:27:08.165 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 192: training:  50%|█████     | 1/2 [03:25<03:25, 205.42s/it]             2026-04-26 07:34:03.754 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 193, train_steps: 7720
+Global Step 192: training: 100%|██████████| 2/2 [06:55<00:00, 207.80s/it]0, 10.18s/it]
+2026-04-26 07:34:04.419 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 193	train_steps 7720	{'step': '193/10000', 'learning_rate': '0.00001000', 'loss': '-1.537e-07', 'grad_norm': '0.00318528', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.56884766', 'grpo_loop_time': '415.59387207', 'ref_model_time': '113.33430481', 'approx_kl': '2.401e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.537e-07', 'kl_loss': '0.00074771', 'kl_moving': '0.00074771', 'kl_stepwise': '8.993e-10', 'gathered_avg_reward_mean': '-0.53694707', 'gathered_avg_reward_std': '0.79986244', 'gathered_videoalign_local_mq_reward_mean': '-0.59897017', 'gathered_videoalign_local_mq_reward_std': '0.48927841', 'gathered_videoalign_local_overall_reward_mean': '-1.38126302', 'gathered_videoalign_local_overall_reward_std': '1.08967519', 'gathered_videoalign_local_ta_reward_mean': '0.30736896', 'gathered_videoalign_local_ta_reward_std': '0.58560067', 'gathered_videoalign_local_vq_reward_mean': '-1.08966184', 'gathered_videoalign_local_vq_reward_std': '0.28617603', 'gathered_ori_avg_reward_mean': '-0.53694713', 'gathered_ori_avg_reward_std': '0.79986244'}
+2026-04-26 07:34:04.460 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 07:34:04.556 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:34:04.591 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 07:35:07.401 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000193/group_0/index_9523_seed_1489_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 07:35:07.999 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:35:08.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 07:36:10.437 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000193/group_0/index_9523_seed_1490_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 07:36:11.014 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 07:36:11.159 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 07:36:11.911 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 07:38:05.169 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.10s (1.89min)
+2026-04-26 07:38:05.943 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 193: training:  50%|█████     | 1/2 [03:25<03:25, 205.28s/it]             2026-04-26 07:45:01.413 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 194, train_steps: 7760
+Global Step 193: training: 100%|██████████| 2/2 [06:55<00:00, 207.73s/it]0, 10.16s/it]
+2026-04-26 07:45:02.059 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 194	train_steps 7760	{'step': '194/10000', 'learning_rate': '0.00001000', 'loss': '6.221e-08', 'grad_norm': '0.00329981', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.39939880', 'grpo_loop_time': '415.46640015', 'ref_model_time': '113.10482025', 'approx_kl': '2.238e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.221e-08', 'kl_loss': '0.00071897', 'kl_moving': '0.00071897', 'kl_stepwise': '2.180e-09', 'gathered_avg_reward_mean': '-1.00582957', 'gathered_avg_reward_std': '0.65265197', 'gathered_videoalign_local_mq_reward_mean': '-0.67053360', 'gathered_videoalign_local_mq_reward_std': '0.31190163', 'gathered_videoalign_local_overall_reward_mean': '-1.90196407', 'gathered_videoalign_local_overall_reward_std': '0.77408415', 'gathered_videoalign_local_ta_reward_mean': '-0.10969508', 'gathered_videoalign_local_ta_reward_std': '0.60954803', 'gathered_videoalign_local_vq_reward_mean': '-1.12173533', 'gathered_videoalign_local_vq_reward_std': '0.30000520', 'gathered_ori_avg_reward_mean': '-1.00582957', 'gathered_ori_avg_reward_std': '0.65265191'}
+2026-04-26 07:45:02.101 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 07:45:02.195 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:45:02.251 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 07:46:05.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000194/group_0/index_4997_seed_27848_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 07:46:06.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:46:06.119 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-26 07:47:08.772 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000194/group_0/index_4997_seed_27849_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 07:47:09.311 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 07:47:09.454 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 07:47:10.238 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 07:49:03.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.88s (1.88min)
+2026-04-26 07:49:04.150 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 194: training:  50%|█████     | 1/2 [03:25<03:25, 205.41s/it]             2026-04-26 07:55:59.889 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 195, train_steps: 7800
+Global Step 194: training: 100%|██████████| 2/2 [06:55<00:00, 207.86s/it]0, 10.18s/it]
+2026-04-26 07:56:00.508 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 195	train_steps 7800	{'step': '195/10000', 'learning_rate': '0.00001000', 'loss': '5.291e-08', 'grad_norm': '0.00312681', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.87498474', 'grpo_loop_time': '415.72418213', 'ref_model_time': '112.87876129', 'approx_kl': '2.322e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.291e-08', 'kl_loss': '0.00072592', 'kl_moving': '0.00072592', 'kl_stepwise': '5.151e-10', 'gathered_avg_reward_mean': '-0.95948964', 'gathered_avg_reward_std': '0.80188274', 'gathered_videoalign_local_mq_reward_mean': '-0.75203902', 'gathered_videoalign_local_mq_reward_std': '0.33612832', 'gathered_videoalign_local_overall_reward_mean': '-1.87049913', 'gathered_videoalign_local_overall_reward_std': '0.90815932', 'gathered_videoalign_local_ta_reward_mean': '-0.04848012', 'gathered_videoalign_local_ta_reward_std': '0.77630568', 'gathered_videoalign_local_vq_reward_mean': '-1.06998003', 'gathered_videoalign_local_vq_reward_std': '0.30665889', 'gathered_ori_avg_reward_mean': '-0.95948958', 'gathered_ori_avg_reward_std': '0.80188268'}
+2026-04-26 07:56:00.559 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 07:56:00.648 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:56:00.677 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 07:57:03.519 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000195/group_0/index_8863_seed_2844_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 07:57:04.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 07:57:04.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 07:58:06.250 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000195/group_0/index_8863_seed_2845_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 07:58:06.850 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 07:58:06.991 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 07:58:07.810 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 08:00:00.599 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.70s (1.88min)
+2026-04-26 08:00:01.493 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 195: training:  50%|█████     | 1/2 [03:28<03:28, 208.24s/it]             2026-04-26 08:07:00.275 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 196, train_steps: 7840
+Global Step 195: training: 100%|██████████| 2/2 [06:58<00:00, 209.38s/it]0, 10.18s/it]
+2026-04-26 08:07:00.912 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 196	train_steps 7840	{'step': '196/10000', 'learning_rate': '0.00001000', 'loss': '1.313e-07', 'grad_norm': '0.00295174', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.72314453', 'grpo_loop_time': '418.76931763', 'ref_model_time': '112.69896698', 'approx_kl': '2.613e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.313e-07', 'kl_loss': '0.00075753', 'kl_moving': '0.00075753', 'kl_stepwise': '9.459e-10', 'gathered_avg_reward_mean': '-0.71691048', 'gathered_avg_reward_std': '0.93388772', 'gathered_videoalign_local_mq_reward_mean': '-0.62198961', 'gathered_videoalign_local_mq_reward_std': '0.44799921', 'gathered_videoalign_local_overall_reward_mean': '-1.57099617', 'gathered_videoalign_local_overall_reward_std': '1.18286741', 'gathered_videoalign_local_ta_reward_mean': '0.13717523', 'gathered_videoalign_local_ta_reward_std': '0.74834579', 'gathered_videoalign_local_vq_reward_mean': '-1.08618176', 'gathered_videoalign_local_vq_reward_std': '0.28822660', 'gathered_ori_avg_reward_mean': '-0.71691036', 'gathered_ori_avg_reward_std': '0.93388772'}
+2026-04-26 08:07:00.953 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 08:07:01.050 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:07:01.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 08:08:03.996 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000196/group_0/index_6899_seed_22925_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 08:08:04.576 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:08:04.579 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 08:09:06.517 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000196/group_0/index_6899_seed_22926_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 08:09:07.149 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 08:09:07.263 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 08:09:08.230 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-04-26 08:11:01.216 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.98s (1.88min)
+2026-04-26 08:11:01.989 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 196: training:  50%|█████     | 1/2 [03:27<03:27, 207.12s/it]             2026-04-26 08:17:59.569 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 197, train_steps: 7880
+Global Step 196: training: 100%|██████████| 2/2 [06:57<00:00, 208.74s/it]0, 10.17s/it]
+2026-04-26 08:18:00.233 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 197	train_steps 7880	{'step': '197/10000', 'learning_rate': '0.00001000', 'loss': '6.985e-09', 'grad_norm': '0.00343556', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.95329285', 'grpo_loop_time': '417.47665405', 'ref_model_time': '112.98445129', 'approx_kl': '2.348e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.985e-09', 'kl_loss': '0.00077504', 'kl_moving': '0.00077504', 'kl_stepwise': '6.476e-10', 'gathered_avg_reward_mean': '-0.74953187', 'gathered_avg_reward_std': '0.66682661', 'gathered_videoalign_local_mq_reward_mean': '-0.79767513', 'gathered_videoalign_local_mq_reward_std': '0.29364318', 'gathered_videoalign_local_overall_reward_mean': '-1.71897745', 'gathered_videoalign_local_overall_reward_std': '0.77985752', 'gathered_videoalign_local_ta_reward_mean': '0.21991384', 'gathered_videoalign_local_ta_reward_std': '0.62809443', 'gathered_videoalign_local_vq_reward_mean': '-1.14121628', 'gathered_videoalign_local_vq_reward_std': '0.24915785', 'gathered_ori_avg_reward_mean': '-0.74953187', 'gathered_ori_avg_reward_std': '0.66682661'}
+2026-04-26 08:18:00.278 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 08:18:00.371 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:18:00.410 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 08:19:03.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000197/group_0/index_8511_seed_24643_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 08:19:03.657 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:19:03.660 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 08:20:05.509 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000197/group_0/index_8511_seed_24644_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 08:20:06.191 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 08:20:06.333 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 08:20:07.253 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.53s/it]
+2026-04-26 08:21:59.901 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.64s (1.88min)
+2026-04-26 08:22:00.676 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 197: training:  50%|█████     | 1/2 [03:27<03:27, 207.68s/it]             2026-04-26 08:28:58.406 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 198, train_steps: 7920
+Global Step 197: training: 100%|██████████| 2/2 [06:57<00:00, 208.84s/it]0, 10.16s/it]
+2026-04-26 08:28:59.060 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 198	train_steps 7920	{'step': '198/10000', 'learning_rate': '0.00001000', 'loss': '-1.192e-07', 'grad_norm': '0.00273671', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.30836487', 'grpo_loop_time': '417.67794800', 'ref_model_time': '112.64236450', 'approx_kl': '2.487e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.192e-07', 'kl_loss': '0.00073142', 'kl_moving': '0.00073142', 'kl_stepwise': '6.083e-10', 'gathered_avg_reward_mean': '-0.92272151', 'gathered_avg_reward_std': '0.93654287', 'gathered_videoalign_local_mq_reward_mean': '-0.61112952', 'gathered_videoalign_local_mq_reward_std': '0.56293941', 'gathered_videoalign_local_overall_reward_mean': '-1.76211882', 'gathered_videoalign_local_overall_reward_std': '1.27344871', 'gathered_videoalign_local_ta_reward_mean': '-0.08332430', 'gathered_videoalign_local_ta_reward_std': '0.69582111', 'gathered_videoalign_local_vq_reward_mean': '-1.06766498', 'gathered_videoalign_local_vq_reward_std': '0.36535612', 'gathered_ori_avg_reward_mean': '-0.92272151', 'gathered_ori_avg_reward_std': '0.93654293'}
+2026-04-26 08:28:59.101 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 08:28:59.217 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:28:59.239 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 08:30:02.221 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000198/group_0/index_8465_seed_17968_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 08:30:02.824 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:30:02.828 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 08:31:04.752 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000198/group_0/index_8465_seed_17969_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 08:31:05.363 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 08:31:05.507 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 08:31:06.417 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.36s/it]
+2026-04-26 08:32:58.697 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.28s (1.87min)
+2026-04-26 08:32:59.481 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 198: training:  50%|█████     | 1/2 [03:28<03:28, 208.27s/it]             2026-04-26 08:39:58.720 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 199, train_steps: 7960
+Global Step 198: training: 100%|██████████| 2/2 [06:59<00:00, 209.62s/it]0, 10.17s/it]
+2026-04-26 08:39:59.335 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 199	train_steps 7960	{'step': '199/10000', 'learning_rate': '0.00001000', 'loss': '-1.630e-07', 'grad_norm': '0.00308940', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.29769897', 'grpo_loop_time': '419.24554443', 'ref_model_time': '112.27658081', 'approx_kl': '2.739e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.630e-07', 'kl_loss': '0.00079434', 'kl_moving': '0.00079434', 'kl_stepwise': '1.496e-09', 'gathered_avg_reward_mean': '-1.31280637', 'gathered_avg_reward_std': '0.86236906', 'gathered_videoalign_local_mq_reward_mean': '-0.72170281', 'gathered_videoalign_local_mq_reward_std': '0.40161595', 'gathered_videoalign_local_overall_reward_mean': '-2.26203918', 'gathered_videoalign_local_overall_reward_std': '1.01894546', 'gathered_videoalign_local_ta_reward_mean': '-0.36357343', 'gathered_videoalign_local_ta_reward_std': '0.78218615', 'gathered_videoalign_local_vq_reward_mean': '-1.17676306', 'gathered_videoalign_local_vq_reward_std': '0.22010790', 'gathered_ori_avg_reward_mean': '-1.31280637', 'gathered_ori_avg_reward_std': '0.86236912'}
+2026-04-26 08:39:59.398 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 08:39:59.486 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:39:59.527 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 08:41:02.442 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000199/group_0/index_3979_seed_22078_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 08:41:03.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 08:41:03.557 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 08:42:05.652 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000199/group_0/index_3979_seed_22079_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 08:42:06.279 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 08:42:06.346 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 08:42:07.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.24s/it]
+2026-04-26 08:43:59.764 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.42s (1.87min)
+2026-04-26 08:44:00.631 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 199: training:  50%|█████     | 1/2 [03:27<03:27, 207.87s/it]             2026-04-26 08:50:58.994 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 200, train_steps: 8000
+Global Step 199: training: 100%|██████████| 2/2 [06:58<00:00, 209.13s/it]0, 10.18s/it]
+2026-04-26 08:50:59.571 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 200	train_steps 8000	{'step': '200/10000', 'learning_rate': '0.00001000', 'loss': '5.495e-08', 'grad_norm': '0.00378694', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.04180908', 'grpo_loop_time': '418.25662231', 'ref_model_time': '112.42470551', 'approx_kl': '2.400e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.495e-08', 'kl_loss': '0.00083244', 'kl_moving': '0.00083244', 'kl_stepwise': '1.324e-09', 'gathered_avg_reward_mean': '-1.03046334', 'gathered_avg_reward_std': '0.71879619', 'gathered_videoalign_local_mq_reward_mean': '-0.91022289', 'gathered_videoalign_local_mq_reward_std': '0.31175441', 'gathered_videoalign_local_overall_reward_mean': '-2.07662249', 'gathered_videoalign_local_overall_reward_std': '0.81804705', 'gathered_videoalign_local_ta_reward_mean': '0.01569596', 'gathered_videoalign_local_ta_reward_std': '0.68050182', 'gathered_videoalign_local_vq_reward_mean': '-1.18209577', 'gathered_videoalign_local_vq_reward_std': '0.19380683', 'gathered_ori_avg_reward_mean': '-1.03046334', 'gathered_ori_avg_reward_std': '0.71879625'}
+2026-04-26 08:50:59.621 | INFO     | __main__:validate:1917 - Running validation at step 200...
+2026-04-26 08:50:59.622 | INFO     | __main__:validate:1918 - Validation samples: 31
+2026-04-26 08:50:59.623 | INFO     | __main__:validate:1919 - Validation video_length=121
+2026-04-26 08:50:59.623 | INFO     | __main__:validate:1920 - Validation fixed global_seed=930
+2026-04-26 08:50:59.624 | INFO     | __main__:validate:1921 - Validation fixed_size=480x864
+2026-04-26 08:50:59.624 | INFO     | __main__:validate:1928 - Generating validation video 1/31: This cinematic close-up shot focuses on a young ma...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               This cinematic close-up shot focuses on a young man with a round, gentle face and dark, neatly combed hair. He is seated at what appears to be a wooden table. The camera is positioned at eye level, creating an intimate and personal perspective. He wears a cozy, brown knit sweater. The scene is bathed in soft, natural light that casts gentle shadows, suggesting a calm afternoon. His full attention is on the task at hand: peeling a vibrant red apple. He holds the apple in his left hand and a small, silver paring knife in his right. With practiced, deliberate movements, he guides the blade just under the skin, carving off a single, unbroken peel that begins to curl downwards. His expression is one of serene focus, his brow slightly furrowed in concentration. The background is softly out of focus, hinting at a simple, rustic kitchen setting, ensuring the viewer's attention remains on the man and the simple, satisfying act of peeling the apple.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      7271
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 08:57:42.709 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_000_seed_7271_This cinematic close-up shot focuses on a young ma.mp4
+2026-04-26 08:57:42.710 | INFO     | __main__:validate:1928 - Generating validation video 2/31: The scene opens on a tranquil, sun-drenched meadow...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a tranquil, sun-drenched meadow in the late afternoon. An eye-level full shot frames Isaac Newton, a man with long hair dressed in simple 17th-century clothing, sitting at the base of a large, gnarled apple tree. He leans against the trunk, positioned according to the rule of thirds, creating a sense of balance and space. Dappled sunlight streams through the leafy canopy, casting soft, moving shadows on the ground. Newton is completely absorbed in thought, his gaze distant and unfocused. A gentle breeze rustles the leaves. High above him, a ripe red apple loosens from its stem. It drops silently at first, then lands with a distinct 'thump' on top of Newton's head. He flinches, startled out of his deep thoughts, and instinctively raises a hand to the point of impact. His eyes dart upwards towards the branches, then scan the ground around him. He spots the offending red apple lying in the grass. His initial annoyance gives way to curiosity as he reaches down, picks it up, and holds it in his palm. He turns it over, examining it, and his expression slowly transforms into one of profound, dawning realization, the genesis of a revolutionary idea.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      861
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 09:04:24.652 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_001_seed_861_The scene opens on a tranquil, sun-drenched meadow.mp4
+2026-04-26 09:04:24.654 | INFO     | __main__:validate:1928 - Generating validation video 3/31: The scene opens on a tight, eye-level close-up of ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a tight, eye-level close-up of an older, white-haired chef in a professional kitchen. His face, etched with lines of fatigue, is illuminated by a single source of side lighting, casting deep shadows that accentuate his somber mood. He is wearing a traditional white chef's jacket, slightly unbuttoned at the collar. In his right hand, he holds a stainless steel tasting spoon containing a small amount of a dark sauce. He brings the spoon to his mouth, his movements deliberate and practiced. He closes his eyes as he tastes the contents, his brow furrowing slightly. A moment of stillness hangs in the air before his expression shifts to one of clear, deep-seated disappointment. His lips press into a thin line. He lowers the spoon, his gaze directed downwards and off-camera, as if lost in thought. He then begins to shake his head slowly and deliberately from side to side, a non-verbal confirmation that the dish is not right. The background is a soft-focus blur of a sterile, industrial kitchen environment, with the metallic sheen of stainless steel surfaces and the dark shapes of hanging pots and pans barely discernible, isolating the chef in his moment of quiet professional grief.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5391
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 09:11:06.921 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_002_seed_5391_The scene opens on a tight, eye-level close-up of .mp4
+2026-04-26 09:11:06.923 | INFO     | __main__:validate:1928 - Generating validation video 4/31: The scene opens on a tight close-up of a blond man...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a tight close-up of a blond man in his late 30s, his face partially illuminated by a single, harsh light source from the right, creating a dramatic chiaroscuro effect. The background is a dark, indistinct blur, suggesting a private study or office at night. Initially, his expression is neutral, perhaps listening to something off-screen. A subtle flicker of understanding crosses his features, followed by a wave of disbelief. His blue eyes widen for a moment, and his brow furrows. Then, the transformation begins. His skin seems to pale, taking on a livid, almost greyish hue under the cool light. His nostrils flare, and he draws a sharp, silent breath. His jaw clenches so tightly that a muscle bulges along his cheek. His gaze becomes a hard, piercing stare, fixed on an unseen point. His hands, which were out of frame, slowly rise into view. We see the fingers curl inward, one by one, until both hands are balled into powerful, white-knuckled fists. The veins on the back of his hands stand out, and the fists tremble with suppressed rage. He remains frozen in this state of potent, silent fury, a portrait of anger about to boil over.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5192
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 09:17:48.999 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_003_seed_5192_The scene opens on a tight close-up of a blond man.mp4
+2026-04-26 09:17:49.000 | INFO     | __main__:validate:1928 - Generating validation video 5/31: The scene opens on a medium, eye-level shot of thr...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium, eye-level shot of three young women seated at a dining table, their forms and the environment rendered in a soft, flowing watercolor style. The woman on the left, with blonde hair tied back, wears a cream-colored sweater. In the center, a woman with dark, curly hair in a blush pink top smiles warmly. On the right, a woman with auburn hair in a terracotta dress initiates the toast. The table is adorned with simple white plates and silverware, with the focus being on three elegant glasses filled with a rich, crimson red wine. The woman on the right gracefully picks up her glass first. Following her lead, the woman in the center and then the woman on the left pick up their glasses. Their painted faces are filled with genuine joy and affection. They bring their glasses together over the center of the table, the light catching the deep red of the wine. The moment before the glasses clink is held, capturing the peak of their shared celebratory spirit. The background is a gentle wash of warm, indistinct colors, suggesting a cozy interior without distracting from the central, heartfelt action.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5735
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.76s/it]
+2026-04-26 09:24:30.661 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_004_seed_5735_The scene opens on a medium, eye-level shot of thr.mp4
+2026-04-26 09:24:30.663 | INFO     | __main__:validate:1928 - Generating validation video 6/31: The scene opens with a medium shot of an elderly w...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a medium shot of an elderly woman, appearing to be in her 80s, seated on a simple wooden stool in a public park. She has fine, silver hair neatly tied back and wears a traditional, dark-colored tunic with intricate embroidery at the collar. Her eyes are gently closed as she focuses on her music. In her hands, she holds a polished, dark wood erhu. Her left hand delicately presses the strings, her fingers moving with practiced grace, while her right hand draws the bow smoothly across them, producing a soulful, resonant melody. She hums softly, a low, gentle sound that harmonizes perfectly with the instrument's voice. A diverse crowd of onlookers, ranging from young adults to other seniors, has formed a respectful semi-circle around her. Some watch with rapt attention, their expressions contemplative. A young woman can be seen subtly recording on her phone, while an older man nods his head slowly to the rhythm. The park setting is serene, with large, mature trees whose leaves create a soft, dappled canopy. The light is diffused, characteristic of an overcast day, which lends a moody and introspective quality to the entire scene. The focus remains tightly on the woman, a figure of serene artistry amidst the quiet reverence of her audience.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6266
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 09:31:13.096 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_005_seed_6266_The scene opens with a medium shot of an elderly w.mp4
+2026-04-26 09:31:13.097 | INFO     | __main__:validate:1928 - Generating validation video 7/31: The scene is a tight close-up, rendered in a style...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is a tight close-up, rendered in a style reminiscent of a Da Vinci painting with its dramatic use of light and shadow. A petite woman is concealed within the suffocating confines of a dark closet. The composition adheres to the rule of thirds, placing her terrified face off-center. The only illumination is a stark, vertical sliver of light piercing the darkness from a door that is barely ajar. This side light carves her features out of the gloom, highlighting the sheen of tears in her wide-open eyes, the pale skin of her cheek, and the white knuckles of the hand she has clamped desperately over her mouth. Her body trembles violently and uncontrollably, a physical manifestation of her terror. She is trying to stifle any sound, her chest rising and falling in shallow, ragged breaths. The surrounding space is an abyss of black, with the faint outlines of hanging clothes creating a sense of being buried. The atmosphere is thick with dread and unbearable suspense, focusing entirely on her silent, petrified state.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      467
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 09:37:55.205 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_006_seed_467_The scene is a tight close-up, rendered in a style.mp4
+2026-04-26 09:37:55.206 | INFO     | __main__:validate:1928 - Generating validation video 8/31: The scene opens with a medium shot of a cozy, slig...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a medium shot of a cozy, slightly cluttered living room, bathed in the warm glow of late afternoon sun filtering through a window on the right. A middle-aged, plump man with thinning brown hair enters from the left side of the frame. He is dressed casually in a green and blue plaid button-up shirt and dark jeans, and he has a weary expression on his face. He walks towards a large, overstuffed couch with a faded, brown floral pattern. In front of the couch sits a low wooden coffee table with a stack of magazines. The man turns and lowers himself onto the couch with a tired sigh. The camera maintains an eye-level perspective, emphasizing the dramatic sinking of the well-worn cushions as they slowly give way under his substantial weight. The fabric strains and creases around him. He shifts his body slightly, finding a comfortable position before leaning his head back against the top of the sofa and closing his eyes, finally at rest.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      4427
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.76s/it]
+2026-04-26 09:44:36.814 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_007_seed_4427_The scene opens with a medium shot of a cozy, slig.mp4
+2026-04-26 09:44:36.816 | INFO     | __main__:validate:1928 - Generating validation video 9/31: The scene opens on a medium long shot, capturing t...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium long shot, capturing the full form of a graceful, fair-skinned European rhythmic gymnast in the center of a competition floor. She is illuminated by a powerful, bright spotlight that makes her sparkling, royal blue leotard glitter. Her blonde hair is tied back in a neat bun. In her hands, she expertly manipulates a long, shimmering silver ribbon, which swirls and dances around her in intricate, flowing patterns as she moves. She executes a series of complex maneuvers, including a high, arching leap followed by a perfectly controlled spin, her body a picture of elegance and strength. The camera, positioned at a slightly low angle, emphasizes the height of her jumps and the grandeur of her performance. The background is dark, but filled with the blurred shapes of a massive, seated audience. The sound of their thunderous applause and enthusiastic cheers is constant, underscoring the excitement of the event. The atmosphere is electric and triumphant, celebrating the athlete's incredible skill and artistry.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5579
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 09:51:19.046 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_008_seed_5579_The scene opens on a medium long shot, capturing t.mp4
+2026-04-26 09:51:19.048 | INFO     | __main__:validate:1928 - Generating validation video 10/31: The scene opens with a stunning wide shot, filmed ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a stunning wide shot, filmed in slow motion from a low angle. Five children, a diverse group of boys and girls aged between six and ten, are running exuberantly across a vast field. The field is filled with tall, golden-yellow grass that sways gently in the breeze and reaches their waists. It's the golden hour, and the setting sun, positioned behind the children, creates a brilliant backlight. This light forms a radiant halo around their hair and outlines their bodies, separating them from the lush background. Dust motes and pollen kicked up by their running feet dance and sparkle in the sunbeams. The children are spread out, yet moving together as a group from right to left across the frame. Their faces are alight with pure joy; mouths are open in laughter, and their eyes are bright with excitement. One girl with long blonde pigtails leads the pack, looking back over her shoulder with a wide grin. A boy in a red t-shirt leaps playfully into the air. The slow-motion effect accentuates every detail: the bounce of their hair, the flowing fabric of their clothes, and the effortless grace of their youthful movements. The sky above is a soft, clear blue, providing a cool contrast to the warm tones of the field below. The atmosphere is overwhelmingly joyful, nostalgic, and evocative of the perfect, endless days of summer childhood.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      8323
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 09:58:01.005 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_009_seed_8323_The scene opens with a stunning wide shot, filmed .mp4
+2026-04-26 09:58:01.007 | INFO     | __main__:validate:1928 - Generating validation video 11/31: The scene is captured in a dramatic low-angle medi...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is captured in a dramatic low-angle medium shot, amplifying the scale and danger of the stunt. On a completely dark stage, the only source of light is a large metal ring, fiercely ablaze with vibrant orange and yellow flames that lick and dance into the darkness. A bare-chested Asian man, his muscles taut with concentration, stands poised a few feet from the fiery obstacle. He takes a deep breath, his eyes locked on the opening. With a powerful burst of energy, he sprints forward. He launches himself into the air, tucking his legs and arms close to his body to navigate the narrow, burning passage. For a split second, he is perfectly framed within the circle of fire, a silhouette against the inferno. The intense light casts flickering shadows and highlights across his skin and simple dark pants. He passes through the ring cleanly and lands gracefully on the other side, rolling to absorb the impact before rising to his feet. The background remains an abyss of black, isolating the raw, thrilling spectacle of man versus fire. The atmosphere is thick with tension and awe at the display of courage and physical control.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      1686
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:04:43.071 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_010_seed_1686_The scene is captured in a dramatic low-angle medi.mp4
+2026-04-26 10:04:43.073 | INFO     | __main__:validate:1928 - Generating validation video 12/31: The scene is set in a bustling, sun-drenched town ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is set in a bustling, sun-drenched town square with historic buildings in the background. A wide, eye-level shot captures an elderly man pushing a tandem wheelchair, in which his wife is seated comfortably. They move across the cobblestone plaza, their expressions content. The entire scene is rendered in sharp focus, highlighting the textures of the environment and the details of the people. As they proceed, they come across three other elderly couples who appear to be old friends. A moment of joyful recognition passes between them. The man stops the wheelchair, and the groups merge. Smiles, waves, and cheerful chatter fill the air as they reunite, creating a lively and heartwarming tableau of enduring companionship and community in their golden years. The camera remains static, allowing the natural, happy interaction to unfold within the frame.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      770
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:11:24.808 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_011_seed_770_The scene is set in a bustling, sun-drenched town .mp4
+2026-04-26 10:11:24.810 | INFO     | __main__:validate:1928 - Generating validation video 13/31: The frame is filled entirely by the face of a fema...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The frame is filled entirely by the face of a female tourist in extreme distress. The shot is an unflinching extreme close-up at eye level, creating an intimate and unsettling connection with her struggle. She is breathing from a transparent oxygen mask strapped tightly to her face. Her lips, the focal point of the shot, are a deathly shade of blue-grey, a clear sign of cyanosis. They are painfully chapped, with dry skin peeling away, evidence of severe dehydration and exposure to harsh elements. With each ragged inhalation, her nostrils flare wide, the muscles in her face tensing with the sheer effort of drawing air into her lungs. A fine layer of frost and tiny ice crystals can be seen on her eyebrows and the wisps of hair escaping her fur-lined hood. The overcast natural light is stark and unforgiving, highlighting every raw texture on her skin and casting subtle, cold shadows. The background is a complete blur of white and grey, suggesting a snow-swept, high-altitude location without offering any distracting details. The only movement is the rhythmic, desperate pulse of her breathing.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6950
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 10:18:07.230 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_012_seed_6950_The frame is filled entirely by the face of a fema.mp4
+2026-04-26 10:18:07.231 | INFO     | __main__:validate:1928 - Generating validation video 14/31: The scene opens on a bright, sunny day in a lush g...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a bright, sunny day in a lush green backyard. A small boy, around six years old with tousled blond hair, is the central focus. He is dressed in a vibrant red short-sleeved t-shirt and blue denim shorts. In front of him, on the manicured lawn, sits a tall, slightly wobbly tower constructed from colorful wooden blocks of various shapes and sizes—red, blue, yellow, and green. The camera, positioned at a low angle, captures the boy as he takes a small step back to admire his handiwork. He plants his feet firmly apart, straightens his back, and places both hands squarely on his hips in a classic pose of accomplishment. His chest puffs out with pride. After a moment of contemplation, his face breaks into a huge, infectious smile, his eyes crinkling at the corners. The smile is pure, unadulterated joy and pride. The bright, natural sunlight casts a warm glow over the entire scene, creating a soft lens flare and making the colors pop. The background is slightly blurred, keeping the focus entirely on the boy and his triumphant moment.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2434
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:24:49.015 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_013_seed_2434_The scene opens on a bright, sunny day in a lush g.mp4
+2026-04-26 10:24:49.017 | INFO     | __main__:validate:1928 - Generating validation video 15/31: The shot opens with an extreme close-up, top-down ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The shot opens with an extreme close-up, top-down view of the back of a human hand resting on a flat, neutral gray surface. A significant, fresh laceration is centered in the frame, its edges raw and red, with a slight glistening of blood. The surrounding skin is pale. The time-lapse sequence begins, and the visual transformation is immediate and dramatic. The raw edges of the wound visibly contract, pulling towards each other as if drawn by an invisible thread. The deep red color darkens as a scab rapidly forms over the cut, a process that happens in a blur of motion. Almost as soon as it appears, the dark scab begins to shrink and flake away, revealing a layer of new, pink, and delicate skin underneath. This new tissue quickly matures, its color evening out and blending seamlessly with the surrounding skin tone. The fine lines and texture of the skin reappear over the healed area. The entire healing cycle completes in a matter of seconds, leaving the hand looking perfectly smooth and unscarred, as if the injury never occurred. The lighting remains constant and clinical throughout, highlighting every detail of the accelerated biological process.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5312
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:31:30.937 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_014_seed_5312_The shot opens with an extreme close-up, top-down .mp4
+2026-04-26 10:31:30.938 | INFO     | __main__:validate:1928 - Generating validation video 16/31: The scene opens on a sweeping wide shot, composed ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a sweeping wide shot, composed according to the rule of thirds, with an elderly Chinese man positioned on the right side of the frame. He stands on an ancient, weathered stone path that meanders through a landscape of rolling hills shrouded in a thick, soft mist. The man has a deeply wrinkled face and a long, flowing white beard that reaches his chest. He wears a simple, coarse-spun brown robe and a traditional conical bamboo hat that casts a gentle shadow over his features. In his left hand, he grips a gnarled wooden cane, its surface polished smooth from years of use, providing him with stability. His entire focus is on his right hand, which is held up near his face. His brow is furrowed in concentration as his thumb methodically touches different segments of his fingers in a complex, silent calculation. The environment is lit by a diffused, natural light coming from the side, which catches the airborne mist and softly illuminates the contours of his robe and the sparse, gnarled trees dotting the background. The atmosphere is one of profound peace and deep contemplation, as if the man is solving a timeless riddle alone in nature.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      5052
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:38:12.797 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_015_seed_5052_The scene opens on a sweeping wide shot, composed .mp4
+2026-04-26 10:38:12.799 | INFO     | __main__:validate:1928 - Generating validation video 17/31: The scene opens with a low-angle, full shot of a w...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a low-angle, full shot of a woman with dark, flowing hair, wearing a striking, floor-length scarlet red dress. She is strolling leisurely from right to left along a winding cobblestone path in a magnificent, verdant garden. The garden is in full bloom, with an array of colorful flowers like deep pink roses and tall, yellow sunflowers flanking the path. The camera is positioned low to the ground, making the flowers in the foreground appear large and immersive, framing the woman majestically. It's the golden hour; the setting sun is out of frame but casts long shadows and bathes the scene in a warm, golden light. This backlights the woman, creating a soft, ethereal glow around her silhouette and illuminating the delicate fabric of her dress. As she walks, she gently brushes her fingertips against the petals of a rose. The camera pans smoothly, following her elegant and unhurried pace. The background consists of tall green hedges and a soft-focus view of the sky, painted with hues of orange and pink.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6421
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:44:54.833 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_016_seed_6421_The scene opens with a low-angle, full shot of a w.mp4
+2026-04-26 10:44:54.835 | INFO     | __main__:validate:1928 - Generating validation video 18/31: From a high-angle perspective, the entirety of a p...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               From a high-angle perspective, the entirety of a professional-grade, vibrant green tennis court is visible under a brilliant, cloudless blue sky. In the foreground, a man with short dark hair, dressed in a white polo shirt and blue shorts, is captured mid-motion. He has just completed a powerful forehand stroke, his body extended and his focus locked on the ball. The tennis racket is a blur of motion in his right hand. Across the net, in the background, his opponent, a blond man in a red shirt and white shorts, is already reacting. He is crouched low, his knees bent, moving swiftly to his left to intercept the fast-approaching yellow tennis ball. The white lines of the court stand out starkly against the green surface, and the net casts a faint, sharp shadow. The surrounding area includes a high chain-link fence, and beyond it, some out-of-focus green trees suggest a park or sports complex setting. The rally is fast and intense, a testament to the players' skill and athleticism, creating a palpable atmosphere of competition and focus.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      1185
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:51:36.583 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_017_seed_1185_From a high-angle perspective, the entirety of a p.mp4
+2026-04-26 10:51:36.585 | INFO     | __main__:validate:1928 - Generating validation video 19/31: The scene opens on a wide, low-angle shot within a...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a wide, low-angle shot within a sprawling, sunlit temple courtyard paved with ancient stones. In the lower third of the frame, a group of three tourists comes to a halt. The group consists of an older Caucasian man with a camera around his neck, a middle-aged Asian woman in a sun hat, and a young man wearing a backpack. They are initially looking at their surroundings, a low murmur of conversation between them. The woman points upwards, and as one, they slowly begin to tilt their heads back. The camera follows their gaze, panning vertically up the massive, weathered bronze statue of Confucius that dominates the frame. The statue is depicted in a thoughtful pose, one hand stroking a long beard, its robes intricately detailed. The sunlight glints off the bronze, creating highlights and deep shadows that accentuate its aged texture. The tourists' faces, now fully visible, are filled with a silent, shared awe. The older man's mouth is slightly agape, while the woman has a hand to her chest. The young man simply stares, captivated. The background features the ornate, curved eaves of a traditional temple building against a brilliant, clear blue sky.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      4556
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 10:58:18.253 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_018_seed_4556_The scene opens on a wide, low-angle shot within a.mp4
+2026-04-26 10:58:18.255 | INFO     | __main__:validate:1928 - Generating validation video 20/31: The scene opens on a medium shot from a slightly h...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium shot from a slightly high angle, focusing on a man in his late 50s seated in a faded, brown armchair. The room is steeped in a quiet, melancholic atmosphere, illuminated only by the soft, fading natural light from a single window off-screen. The man, with short, salt-and-pepper hair and a weary expression, is hunched forward, his shoulders slumped in a posture of defeat. He is dressed in a simple, dark gray knitted sweater. In his hands, he holds a large, crinkled newspaper. He isn't actively reading; instead, his fingers absently turn the large pages, the rustling sound being the only noise in the otherwise silent room. His gaze is distant, looking down at the paper but seemingly through it. He flips a page, lets it settle, pauses for a long moment, and then repeats the action without any change in his somber expression. The composition places him on the right third of the frame, leaving empty space to his left, which amplifies his isolation. The background is softly out of focus, showing a plain wall with a single, framed picture hanging crookedly, and the corner of a wooden side table with a cold cup of tea on it. The muted color palette of blues, grays, and browns, combined with the soft lighting, creates a poignant and deeply sorrowful mood.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      3386
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 11:05:00.133 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_019_seed_3386_The scene opens on a medium shot from a slightly h.mp4
+2026-04-26 11:05:00.134 | INFO     | __main__:validate:1928 - Generating validation video 21/31: The scene opens on a wide, eye-level shot capturin...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a wide, eye-level shot capturing an old, weathered stone bridge arching over a calm, slow-moving river. It's late autumn, and the trees lining the riverbank have shed most of their leaves, their bare branches stark against the pale, overcast sky. Positioned on the right third of the frame, two young women stand close together, leaning on the thick stone parapet. The first woman, with dark hair stirred by a gentle breeze, wears a long, dark coat. Her focus is entirely on the water's gentle current. Beside her, the second woman, in a gray knitted beanie and a lighter jacket, stares into the distance, her expression lost in thought. The natural, soft light of the afternoon casts no harsh shadows, bathing the scene in a cool, somber tone. The color palette is dominated by muted blues from the water and sky, and the earthy grays and browns of the stone and landscape. They remain silent, their shared stillness and the quiet flow of the river creating a powerful, sorrowful atmosphere of shared grief or deep reflection.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      6397
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 11:11:41.911 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_020_seed_6397_The scene opens on a wide, eye-level shot capturin.mp4
+2026-04-26 11:11:41.912 | INFO     | __main__:validate:1928 - Generating validation video 22/31: The scene is captured from a dynamic low-angle, wi...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene is captured from a dynamic low-angle, wide shot, immersing the viewer in the world of eight young children playing in a sun-drenched park. Each child wears an identical, vibrant red hat, creating a striking visual unity against the backdrop of a verdant green lawn and a clear blue sky. They are deeply engrossed in building with a large collection of colorful wooden blocks. The low viewpoint makes their small figures seem heroic and their block structures appear like a miniature city skyline. In the center of the frame, a few children work together, carefully stacking blocks to create a tall tower. To the side, others are building lower, house-like structures. Their faces show a mixture of intense concentration and pure joy. The natural sunlight is bright and warm, casting soft shadows and highlighting the vivid colors of the blocks and the children's clothing. The atmosphere is one of innocent creativity, collaboration, and playful happiness, set within an idyllic park environment.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      8667
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.76s/it]
+2026-04-26 11:18:23.407 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_021_seed_8667_The scene is captured from a dynamic low-angle, wi.mp4
+2026-04-26 11:18:23.409 | INFO     | __main__:validate:1928 - Generating validation video 23/31: The scene opens with a high-angle, close-up shot, ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a high-angle, close-up shot, focusing intently on the cupped hands of a young, bald boy kneeling at the edge of a tranquil garden pond. The water is crystal clear, revealing smooth stones at the bottom. Inside his hands, cradled in a small pool of water, is a vibrant red koi fish, its scales shimmering in the soft, natural light that filters through the leaves of an unseen tree. The boy's fingers are gentle, holding the fish securely but without pressure. His face is out of focus in the background, but his posture suggests deep concentration and care. He slowly and deliberately lowers his hands, breaking the still surface of the pond. Water ripples outwards in concentric circles. For a brief moment, the koi remains in his open palms just below the surface before it senses its freedom. With a graceful flick of its tail, the fish propels itself forward, a flash of crimson disappearing into the murky green depths of the pond. The boy keeps his hands submerged for a second longer, watching it go, before slowly withdrawing them. Droplets of water fall from his fingertips back into the pond.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      9275
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 11:25:05.589 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_022_seed_9275_The scene opens with a high-angle, close-up shot, .mp4
+2026-04-26 11:25:05.591 | INFO     | __main__:validate:1928 - Generating validation video 24/31: The scene opens with a high-angle wide shot of a v...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a high-angle wide shot of a vast, untouched snowy landscape under a pale, late-afternoon sky. A solitary figure, a beautiful Chinese woman, stands in the lower right third of the frame. She has long, flowing black hair that contrasts sharply with the white snow. She is elegantly dressed, wearing a full-length, dark brown fur coat over a form-fitting black knit dress and impractical high-heeled boots. Large, dark sunglasses obscure her eyes, making her expression unreadable. The natural light is soft and cool, casting long, blue shadows across the snow. After a moment of stillness, she begins to move with a slow, almost ceremonial grace. She bends her knees, lowering her body towards the ground. Her movements are fluid and deliberate as she lies back, her fur coat spreading around her like a dark halo against the pristine white. She comes to rest fully on her back, her arms falling limply to her sides, her head turned slightly to the side. The camera holds on this image: a stark, beautiful, and poignant tableau of luxury and vulnerability against the unforgiving cold of nature.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2559
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 11:31:47.298 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_023_seed_2559_The scene opens with a high-angle wide shot of a v.mp4
+2026-04-26 11:31:47.300 | INFO     | __main__:validate:1928 - Generating validation video 25/31: The scene opens with a medium close-up on a man in...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a medium close-up on a man in his late forties, his face framed by a thick, unkempt beard. He is seated in what appears to be a dark study, though the background is mostly lost to shadow. The shot is rendered in a stark, high-contrast monochrome, reminiscent of film noir. A single, harsh key light illuminates the right side of his face, casting the left side in deep shadow and accentuating the sweat on his brow and the frantic look in his eyes. He is wearing a dark, woolen sweater. In his hands, he clutches a thick, hardbound book. His knuckles are white. For a moment, he stares down at the book, his chest heaving with ragged breaths. Then, with a sudden, explosive movement, he lets out a silent scream of pure rage and begins to tear at the cover. The sound of ripping cardboard and paper fills the silence. He savagely pulls the spine from the binding, then begins ripping out handfuls of pages, his movements frantic and uncontrolled. The white pages flutter down around him, stark against the surrounding darkness. He doesn't stop until the book is completely destroyed, a mangled ruin of paper and glue in his trembling hands. He then lets the remnants fall from his grasp, his head slumping forward in exhaustion and despair.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      7850
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 11:38:29.558 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_024_seed_7850_The scene opens with a medium close-up on a man in.mp4
+2026-04-26 11:38:29.561 | INFO     | __main__:validate:1928 - Generating validation video 26/31: The scene opens on a wide shot of a meticulously c...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a wide shot of a meticulously crafted claymation garden under a bright, sunny sky. The garden is a tapestry of vibrant colors, with lush green grass, a winding grey stone path, and oversized, whimsical flowers in pastel pinks, purples, and blues. A small clay figure of a little girl enters the frame from the right. She has brown pigtails tied with blue ribbons and is wearing a cheerful bright yellow dress. In her left hand, she clutches the red handle of a colorful, striped handbag. With a joyful expression on her face, she begins to skip along the stone path, moving from right to left across the screen. Her skipping motion is charmingly imperfect, a hallmark of stop-motion animation, with each frame capturing a distinct pose. As she skips, she swings the handbag back and forth in rhythm with her steps. In the background, a small clay butterfly with orange wings flutters near a large pink flower. The entire scene is bathed in soft, warm light, creating a gentle and heartwarming atmosphere of childhood innocence and wonder. The girl continues skipping until she exits the frame on the left.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2048
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 11:45:11.723 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_025_seed_2048_The scene opens on a wide shot of a meticulously c.mp4
+2026-04-26 11:45:11.724 | INFO     | __main__:validate:1928 - Generating validation video 27/31: An eye-level, medium-wide shot captures a moment o...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               An eye-level, medium-wide shot captures a moment of serene harmony in a quiet park at dusk. A middle-aged Caucasian man and an Asian woman are practicing yoga together on the lush green grass. The setting sun, low on the horizon, bathes the scene in a warm, golden light, backlighting the pair and casting long shadows. They are positioned symmetrically, mirroring each other in the Warrior II (Virabhadrasana II) pose. The man, on the left, wears a grey t-shirt and black shorts. The woman, on the right, is in a teal tank top and dark leggings, her dark hair pulled into a neat ponytail. Their focus is palpable as they hold the pose, their bodies strong and steady. In the background, tall, leafy trees frame the scene, their leaves gently rustling in a soft evening breeze. After a moment of stillness, they gracefully transition in unison, lowering their arms and stepping their feet together, preparing for the next sequence, their movements fluid and synchronized, embodying a deep sense of peace and connection.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2748
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.80s/it]
+2026-04-26 11:51:54.705 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_026_seed_2748_An eye-level, medium-wide shot captures a moment o.mp4
+2026-04-26 11:51:54.707 | INFO     | __main__:validate:1928 - Generating validation video 28/31: The scene opens on a medium, low-angle shot of a t...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium, low-angle shot of a teenage boy on an empty, red-surfaced running track during sunset. He is positioned on the right third of the frame, having just completed an intense sprint. He wears a striking neon green athletic jacket, unzipped to reveal a dark shirt underneath, and black running shorts. His body is bent sharply at the waist, his hands pressed firmly onto his knees for support as he struggles to recover. His dark, curly hair is damp with sweat, which also beads on his forehead and temples. His chest rises and falls rapidly and deeply, and with each ragged exhalation, a faint mist of his breath is visible in the cooling air, illuminated by the strong backlight from the setting sun. The sun, low on the horizon, casts long shadows and bathes the scene in a warm, orange glow, creating a cinematic lens flare that streaks across the frame. After a few moments of labored breathing, he slowly and painfully straightens his posture, his eyes remaining fixed on the track ahead with a look of fierce determination mixed with utter exhaustion.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      9168
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.79s/it]
+2026-04-26 11:58:37.310 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_027_seed_9168_The scene opens on a medium, low-angle shot of a t.mp4
+2026-04-26 11:58:37.312 | INFO     | __main__:validate:1928 - Generating validation video 29/31: The scene opens with a static, extreme wide shot f...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens with a static, extreme wide shot from a bird's-eye view, looking down upon a vast expanse of green lawn. The grass is almost entirely obscured by a chaotic carpet of debris left behind by a music festival: countless plastic cups, crumpled food wrappers, discarded flyers, and shimmering confetti. The early morning light, a soft golden hue, streams in from the side, casting long, dramatic shadows across the field. A single, small figure, a janitor in a dark blue uniform, moves slowly and deliberately through the mess. He pushes a wheeled trash cart ahead of him. With a mechanical grabber in one hand, he methodically picks up pieces of trash one by one, his movements precise and unhurried. He drops each item into a large, gaping black plastic bag attached to his cart. The sheer scale of the mess dwarfs him, making his task seem monumental, almost futile. In the far background, the skeletal structure of the main festival stage is visible, now silent and empty. The contrast between the colorful, festive remnants and the solitary, quiet labor of the janitor creates a powerful, contemplative mood, capturing the silent, unseen work that follows mass celebration.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      9999
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:32<00:00,  9.80s/it]
+2026-04-26 12:05:20.338 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_028_seed_9999_The scene opens with a static, extreme wide shot f.mp4
+2026-04-26 12:05:20.340 | INFO     | __main__:validate:1928 - Generating validation video 30/31: The shot opens on a medium frame of a young baller...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The shot opens on a medium frame of a young ballerina sitting on the worn, wooden edge of a vast, dark stage. She is isolated by a single, soft spotlight from above, which casts a gentle, ethereal glow on her and plunges the surrounding theater into deep, velvety shadow. She wears a classic white tutu, its delicate layers fanning out slightly around her, and her dark hair is pulled back in a tight, perfect bun. Her face, beautifully illuminated by the soft light, is a portrait of profound sadness; her eyes are downcast and glistening with unshed tears. Initially, her slender hands rest delicately on her lap, fingers intertwined. With a slow, deliberate, and almost heartbreakingly graceful movement, she lowers them to her sides, her fingertips eventually brushing against the rough surface of the stage floor. The action is imbued with a sense of finality and deep resignation. Following this, she gently brings her legs together, her pink pointe shoes, ribbons still perfectly tied, meeting with a soft, almost inaudible touch. She holds this final pose, her gaze directed slightly downwards, lost in her sorrowful thoughts. The stark contrast between the brightly lit, fragile figure and the cavernous darkness of the empty auditorium creates a powerful, palpable feeling of isolation and deep melancholy.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      190
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:31<00:00,  9.78s/it]
+2026-04-26 12:12:02.551 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_029_seed_190_The shot opens on a medium frame of a young baller.mp4
+2026-04-26 12:12:02.553 | INFO     | __main__:validate:1928 - Generating validation video 31/31: The scene opens on a medium shot of a teenage boy ...
+
+
+============================================================
+🎬  HunyuanVideo Generation Task
+------------------------------------------------------------
+User Prompt:               The scene opens on a medium shot of a teenage boy sitting alone in a brightly lit coffee shop. He is positioned on the right third of the frame, wearing black-rimmed glasses and a forest green knit sweater. Sunlight from a large, clean window to his left casts a soft glow on his face and highlights the dust motes dancing in the air. In front of him, on a rustic wooden table, sits a white ceramic mug filled with coffee, a simple leaf pattern visible in the latte art. He slowly reaches out, wrapping both hands around the warmth of the mug. He lifts it to his lips, his eyes closing for a brief moment as he takes a sip. After savoring the taste, he gently lowers the mug back onto its saucer without a sound. He turns his head slightly, his gaze directed out the window, watching the world go by with a calm, contemplative expression. The background is softly blurred, showing the indistinct shapes of other patrons, hanging plants, and an exposed brick wall, creating a peaceful and introspective atmosphere.
+Rewritten Prompt:          <disabled>
+Aspect Ratio:              864:480
+Video Length:              121
+Reference Image:           None
+Guidance Scale:            6.0
+Guidance Embedded Scale:   None
+Shift:                     5.0
+Seed:                      2735
+Video Resolution:          864 x 480
+Attn mode:                 flash
+Transformer dtype:         torch.float32
+Sampling Steps:            40
+Use Meanflow:              False
+============================================================
+100%|██████████| 40/40 [06:30<00:00,  9.77s/it]
+2026-04-26 12:18:44.584 | INFO     | __main__:validate:1959 - Validation video saved to ./outputs/yw004-flow-baseline/samples/step_000200/sample_030_seed_2735_The scene opens on a medium shot of a teenage boy .mp4
+2026-04-26 12:20:10.081 | INFO     | __main__:save_checkpoint:1563 - Checkpoint saved at step 200 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline/checkpoint-200
+2026-04-26 12:20:48.043 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=200 (missing=0, unexpected=0)
+2026-04-26 12:20:49.067 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 12:20:49.155 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:20:49.235 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 12:21:51.495 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000200/group_0/index_9074_seed_29894_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 12:21:52.052 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:21:52.056 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:56,  2.85s/it][00:56<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:56<00:00,  2.85s/it]
+2026-04-26 12:22:53.598 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000200/group_0/index_9074_seed_29895_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 12:22:54.286 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 12:22:54.526 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 12:22:55.802 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.58s/it]
+2026-04-26 12:24:50.491 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.58s (1.91min)
+2026-04-26 12:24:56.411 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 200: training:  50%|█████     | 1/2 [03:26<03:26, 206.47s/it]             2026-04-26 12:32:00.163 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 201, train_steps: 8040
+Global Step 200: training: 100%|██████████| 2/2 [06:57<00:00, 208.50s/it]0, 10.19s/it]
+2026-04-26 12:32:00.764 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 201	train_steps 8040	{'step': '201/10000', 'learning_rate': '0.00001000', 'loss': '-1.560e-07', 'grad_norm': '0.00274663', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '247.25474548', 'grpo_loop_time': '418.88891602', 'ref_model_time': '114.58247375', 'approx_kl': '2.397e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.560e-07', 'kl_loss': '0.00074560', 'kl_moving': '0.00074560', 'kl_stepwise': '1.128e-09', 'gathered_avg_reward_mean': '-0.70264757', 'gathered_avg_reward_std': '0.90736783', 'gathered_videoalign_local_mq_reward_mean': '-0.65016383', 'gathered_videoalign_local_mq_reward_std': '0.38505140', 'gathered_videoalign_local_overall_reward_mean': '-1.54176879', 'gathered_videoalign_local_overall_reward_std': '1.09466290', 'gathered_videoalign_local_ta_reward_mean': '0.13647369', 'gathered_videoalign_local_ta_reward_std': '0.76598096', 'gathered_videoalign_local_vq_reward_mean': '-1.02807879', 'gathered_videoalign_local_vq_reward_std': '0.21163316', 'gathered_ori_avg_reward_mean': '-0.70264763', 'gathered_ori_avg_reward_std': '0.90736789'}
+2026-04-26 12:32:00.828 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 12:32:00.918 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:32:00.955 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 12:33:03.737 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000201/group_0/index_2555_seed_28027_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 12:33:04.302 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:33:04.306 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 12:34:06.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000201/group_0/index_2555_seed_28028_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 12:34:06.716 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 12:34:06.861 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 12:34:07.789 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 12:36:01.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.35s (1.89min)
+2026-04-26 12:36:02.103 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 201: training:  50%|█████     | 1/2 [03:27<03:27, 207.42s/it]             2026-04-26 12:42:59.829 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 202, train_steps: 8080
+Global Step 201: training: 100%|██████████| 2/2 [06:57<00:00, 208.81s/it]0, 10.18s/it]
+2026-04-26 12:43:00.487 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 202	train_steps 8080	{'step': '202/10000', 'learning_rate': '0.00001000', 'loss': '1.090e-07', 'grad_norm': '0.00477589', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.09069824', 'grpo_loop_time': '417.62319946', 'ref_model_time': '113.34543610', 'approx_kl': '2.395e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.090e-07', 'kl_loss': '0.00073911', 'kl_moving': '0.00073911', 'kl_stepwise': '1.454e-09', 'gathered_avg_reward_mean': '-1.03267801', 'gathered_avg_reward_std': '0.79629374', 'gathered_videoalign_local_mq_reward_mean': '-0.75120354', 'gathered_videoalign_local_mq_reward_std': '0.36992976', 'gathered_videoalign_local_overall_reward_mean': '-2.01199245', 'gathered_videoalign_local_overall_reward_std': '0.92401832', 'gathered_videoalign_local_ta_reward_mean': '-0.05336371', 'gathered_videoalign_local_ta_reward_std': '0.75701392', 'gathered_videoalign_local_vq_reward_mean': '-1.20742524', 'gathered_videoalign_local_vq_reward_std': '0.27468798', 'gathered_ori_avg_reward_mean': '-1.03267813', 'gathered_ori_avg_reward_std': '0.79629374'}
+2026-04-26 12:43:00.532 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 12:43:00.625 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:43:00.662 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 12:44:03.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000202/group_0/index_3446_seed_14871_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 12:44:03.999 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:44:04.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 12:45:06.121 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000202/group_0/index_3446_seed_14872_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 12:45:06.833 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 12:45:06.973 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 12:45:07.738 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-04-26 12:47:00.478 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.61s (1.88min)
+2026-04-26 12:47:01.264 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 202: training:  50%|█████     | 1/2 [03:27<03:27, 207.62s/it]             2026-04-26 12:53:59.417 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 203, train_steps: 8120
+Global Step 202: training: 100%|██████████| 2/2 [06:58<00:00, 209.03s/it]0, 10.19s/it]
+2026-04-26 12:54:00.066 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 203	train_steps 8120	{'step': '203/10000', 'learning_rate': '0.00001000', 'loss': '5.169e-08', 'grad_norm': '0.00325560', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.64933777', 'grpo_loop_time': '418.05691528', 'ref_model_time': '112.61050415', 'approx_kl': '2.513e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.169e-08', 'kl_loss': '0.00065593', 'kl_moving': '0.00065593', 'kl_stepwise': '1.911e-09', 'gathered_avg_reward_mean': '-0.95675772', 'gathered_avg_reward_std': '0.73217666', 'gathered_videoalign_local_mq_reward_mean': '-0.49386516', 'gathered_videoalign_local_mq_reward_std': '0.57685012', 'gathered_videoalign_local_overall_reward_mean': '-1.73941350', 'gathered_videoalign_local_overall_reward_std': '1.03490829', 'gathered_videoalign_local_ta_reward_mean': '-0.17410198', 'gathered_videoalign_local_ta_reward_std': '0.55087709', 'gathered_videoalign_local_vq_reward_mean': '-1.07144642', 'gathered_videoalign_local_vq_reward_std': '0.28501815', 'gathered_ori_avg_reward_mean': '-0.95675772', 'gathered_ori_avg_reward_std': '0.73217666'}
+2026-04-26 12:54:00.109 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 12:54:00.203 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:54:00.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 12:55:04.368 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000203/group_0/index_454_seed_7519_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 12:55:05.131 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 12:55:06.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 12:56:08.245 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000203/group_0/index_454_seed_7520_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 12:56:08.829 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 12:56:08.903 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 12:56:10.132 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.16s/it]
+2026-04-26 12:58:02.833 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.70s (1.88min)
+2026-04-26 12:58:03.811 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 203: training:  50%|█████     | 1/2 [03:26<03:26, 206.38s/it]             2026-04-26 13:05:00.668 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 204, train_steps: 8160
+Global Step 203: training: 100%|██████████| 2/2 [06:56<00:00, 208.39s/it]0, 10.19s/it]
+2026-04-26 13:05:01.292 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 204	train_steps 8160	{'step': '204/10000', 'learning_rate': '0.00001000', 'loss': '1.183e-07', 'grad_norm': '0.00258956', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.48925781', 'grpo_loop_time': '416.79351807', 'ref_model_time': '112.69993591', 'approx_kl': '2.691e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.183e-07', 'kl_loss': '0.00075488', 'kl_moving': '0.00075487', 'kl_stepwise': '8.338e-10', 'gathered_avg_reward_mean': '-1.03646755', 'gathered_avg_reward_std': '0.84625441', 'gathered_videoalign_local_mq_reward_mean': '-0.60992181', 'gathered_videoalign_local_mq_reward_std': '0.41078156', 'gathered_videoalign_local_overall_reward_mean': '-1.89970779', 'gathered_videoalign_local_overall_reward_std': '0.96787405', 'gathered_videoalign_local_ta_reward_mean': '-0.17322731', 'gathered_videoalign_local_ta_reward_std': '0.83894205', 'gathered_videoalign_local_vq_reward_mean': '-1.11655879', 'gathered_videoalign_local_vq_reward_std': '0.32535678', 'gathered_ori_avg_reward_mean': '-1.03646755', 'gathered_ori_avg_reward_std': '0.84625441'}
+2026-04-26 13:05:01.337 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 13:05:01.436 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:05:01.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 13:06:04.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000204/group_0/index_9739_seed_32850_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 13:06:05.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:06:05.453 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 13:07:07.652 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000204/group_0/index_9739_seed_32851_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 13:07:08.187 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 13:07:08.316 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 13:07:09.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-04-26 13:09:02.441 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.06s (1.88min)
+2026-04-26 13:09:03.238 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 204: training:  50%|█████     | 1/2 [03:26<03:26, 206.55s/it]             2026-04-26 13:16:01.256 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 205, train_steps: 8200
+Global Step 204: training: 100%|██████████| 2/2 [06:58<00:00, 209.01s/it]0, 10.19s/it]
+2026-04-26 13:16:01.925 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 205	train_steps 8200	{'step': '205/10000', 'learning_rate': '0.00001000', 'loss': '-1.029e-07', 'grad_norm': '0.02248940', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.79663086', 'grpo_loop_time': '418.03027344', 'ref_model_time': '113.05787659', 'approx_kl': '2.370e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.029e-07', 'kl_loss': '0.00071444', 'kl_moving': '0.00071444', 'kl_stepwise': '7.232e-10', 'gathered_avg_reward_mean': '-0.78062212', 'gathered_avg_reward_std': '0.82522655', 'gathered_videoalign_local_mq_reward_mean': '-0.62229729', 'gathered_videoalign_local_mq_reward_std': '0.49729946', 'gathered_videoalign_local_overall_reward_mean': '-1.64610243', 'gathered_videoalign_local_overall_reward_std': '1.09106886', 'gathered_videoalign_local_ta_reward_mean': '0.08485813', 'gathered_videoalign_local_ta_reward_std': '0.63965452', 'gathered_videoalign_local_vq_reward_mean': '-1.10866332', 'gathered_videoalign_local_vq_reward_std': '0.27227083', 'gathered_ori_avg_reward_mean': '-0.78062212', 'gathered_ori_avg_reward_std': '0.82522655'}
+2026-04-26 13:16:01.968 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 13:16:02.066 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:16:02.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 13:17:04.764 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000205/group_0/index_128_seed_19083_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 13:17:05.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:17:05.317 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-04-26 13:18:08.214 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000205/group_0/index_128_seed_19084_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 13:18:08.810 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 13:18:08.958 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 13:18:09.766 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-04-26 13:20:02.990 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.08s (1.88min)
+2026-04-26 13:20:03.821 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 205: training:  50%|█████     | 1/2 [03:25<03:25, 205.32s/it]             2026-04-26 13:26:59.294 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 206, train_steps: 8240
+Global Step 205: training: 100%|██████████| 2/2 [06:55<00:00, 207.73s/it]0, 10.17s/it]
+2026-04-26 13:26:59.934 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 206	train_steps 8240	{'step': '206/10000', 'learning_rate': '0.00001000', 'loss': '8.382e-08', 'grad_norm': '0.00389328', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.73144531', 'grpo_loop_time': '415.45898438', 'ref_model_time': '113.07769012', 'approx_kl': '2.502e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.382e-08', 'kl_loss': '0.00076897', 'kl_moving': '0.00076897', 'kl_stepwise': '1.393e-09', 'gathered_avg_reward_mean': '-0.91895294', 'gathered_avg_reward_std': '0.82620937', 'gathered_videoalign_local_mq_reward_mean': '-0.63043052', 'gathered_videoalign_local_mq_reward_std': '0.50471431', 'gathered_videoalign_local_overall_reward_mean': '-1.82648385', 'gathered_videoalign_local_overall_reward_std': '1.06570923', 'gathered_videoalign_local_ta_reward_mean': '-0.01142195', 'gathered_videoalign_local_ta_reward_std': '0.66836101', 'gathered_videoalign_local_vq_reward_mean': '-1.18463135', 'gathered_videoalign_local_vq_reward_std': '0.22983330', 'gathered_ori_avg_reward_mean': '-0.91895288', 'gathered_ori_avg_reward_std': '0.82620931'}
+2026-04-26 13:26:59.982 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 13:27:00.078 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:27:00.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 13:28:03.027 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000206/group_0/index_3909_seed_11218_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 13:28:03.566 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:28:03.570 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 13:29:06.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000206/group_0/index_3909_seed_11219_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 13:29:06.605 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 13:29:06.744 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 13:29:07.619 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.92s/it]
+2026-04-26 13:31:00.395 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.74s (1.88min)
+2026-04-26 13:31:01.268 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 206: training:  50%|█████     | 1/2 [03:27<03:27, 207.76s/it]             2026-04-26 13:37:59.654 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 207, train_steps: 8280
+Global Step 206: training: 100%|██████████| 2/2 [06:58<00:00, 209.17s/it]0, 10.19s/it]
+2026-04-26 13:38:00.304 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 207	train_steps 8280	{'step': '207/10000', 'learning_rate': '0.00001000', 'loss': '-2.421e-08', 'grad_norm': '0.00319310', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.08702087', 'grpo_loop_time': '418.34429932', 'ref_model_time': '112.73635864', 'approx_kl': '2.294e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.421e-08', 'kl_loss': '0.00075753', 'kl_moving': '0.00075753', 'kl_stepwise': '8.484e-10', 'gathered_avg_reward_mean': '-0.80180818', 'gathered_avg_reward_std': '0.71182370', 'gathered_videoalign_local_mq_reward_mean': '-0.54780281', 'gathered_videoalign_local_mq_reward_std': '0.46361700', 'gathered_videoalign_local_overall_reward_mean': '-1.57525516', 'gathered_videoalign_local_overall_reward_std': '0.97144043', 'gathered_videoalign_local_ta_reward_mean': '-0.02836115', 'gathered_videoalign_local_ta_reward_std': '0.60807329', 'gathered_videoalign_local_vq_reward_mean': '-0.99909127', 'gathered_videoalign_local_vq_reward_std': '0.39571753', 'gathered_ori_avg_reward_mean': '-0.80180824', 'gathered_ori_avg_reward_std': '0.71182370'}
+2026-04-26 13:38:00.346 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 13:38:00.441 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:38:00.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 13:39:03.337 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000207/group_0/index_5368_seed_27845_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 13:39:03.912 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:39:03.915 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 13:40:05.697 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000207/group_0/index_5368_seed_27846_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 13:40:06.268 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 13:40:06.409 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 13:40:07.189 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.29s/it]
+2026-04-26 13:42:00.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.68s (1.88min)
+2026-04-26 13:42:00.937 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 207: training:  50%|█████     | 1/2 [03:28<03:28, 208.58s/it]             2026-04-26 13:49:01.156 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 208, train_steps: 8320
+Global Step 207: training: 100%|██████████| 2/2 [07:00<00:00, 210.06s/it]0, 10.24s/it]
+2026-04-26 13:49:01.794 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 208	train_steps 8320	{'step': '208/10000', 'learning_rate': '0.00001000', 'loss': '-2.282e-07', 'grad_norm': '0.00292968', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.36111450', 'grpo_loop_time': '420.12649536', 'ref_model_time': '112.68079376', 'approx_kl': '2.443e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.282e-07', 'kl_loss': '0.00075076', 'kl_moving': '0.00075076', 'kl_stepwise': '3.754e-10', 'gathered_avg_reward_mean': '-0.84439403', 'gathered_avg_reward_std': '0.91705346', 'gathered_videoalign_local_mq_reward_mean': '-0.66296113', 'gathered_videoalign_local_mq_reward_std': '0.53894550', 'gathered_videoalign_local_overall_reward_mean': '-1.67221522', 'gathered_videoalign_local_overall_reward_std': '1.21913970', 'gathered_videoalign_local_ta_reward_mean': '-0.01657281', 'gathered_videoalign_local_ta_reward_std': '0.72189546', 'gathered_videoalign_local_vq_reward_mean': '-0.99268126', 'gathered_videoalign_local_vq_reward_std': '0.34165606', 'gathered_ori_avg_reward_mean': '-0.84439409', 'gathered_ori_avg_reward_std': '0.91705346'}
+2026-04-26 13:49:01.835 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 13:49:01.931 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:49:01.950 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 13:50:05.429 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000208/group_0/index_1780_seed_27246_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 13:50:06.001 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 13:50:06.005 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 13:51:08.763 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000208/group_0/index_1780_seed_27247_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 13:51:09.389 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 13:51:09.529 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 13:51:10.374 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-04-26 13:53:03.399 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.88s (1.88min)
+2026-04-26 13:53:04.214 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 208: training:  50%|█████     | 1/2 [03:26<03:26, 206.35s/it]             2026-04-26 14:00:03.056 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 209, train_steps: 8360
+Global Step 208: training: 100%|██████████| 2/2 [06:58<00:00, 209.40s/it]0, 10.24s/it]
+2026-04-26 14:00:03.703 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 209	train_steps 8360	{'step': '209/10000', 'learning_rate': '0.00001000', 'loss': '1.658e-07', 'grad_norm': '0.00304894', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.29545593', 'grpo_loop_time': '418.81317139', 'ref_model_time': '112.88476562', 'approx_kl': '2.256e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.658e-07', 'kl_loss': '0.00085341', 'kl_moving': '0.00085341', 'kl_stepwise': '1.678e-09', 'gathered_avg_reward_mean': '-1.20451927', 'gathered_avg_reward_std': '0.91198856', 'gathered_videoalign_local_mq_reward_mean': '-0.70555764', 'gathered_videoalign_local_mq_reward_std': '0.42124680', 'gathered_videoalign_local_overall_reward_mean': '-2.13884926', 'gathered_videoalign_local_overall_reward_std': '1.10985649', 'gathered_videoalign_local_ta_reward_mean': '-0.27018920', 'gathered_videoalign_local_ta_reward_std': '0.78569424', 'gathered_videoalign_local_vq_reward_mean': '-1.16310239', 'gathered_videoalign_local_vq_reward_std': '0.24594896', 'gathered_ori_avg_reward_mean': '-1.20451915', 'gathered_ori_avg_reward_std': '0.91198856'}
+2026-04-26 14:00:03.753 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 14:00:03.848 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:00:03.904 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 14:01:06.533 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000209/group_0/index_6573_seed_18771_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 14:01:07.680 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:01:07.683 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 14:02:10.209 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000209/group_0/index_6573_seed_18772_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 14:02:10.748 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 14:02:10.891 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 14:02:11.789 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.82s/it]
+2026-04-26 14:04:05.168 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-04-26 14:04:05.935 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 209: training:  50%|█████     | 1/2 [03:25<03:25, 205.83s/it]             2026-04-26 14:11:03.239 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 210, train_steps: 8400
+Global Step 209: training: 100%|██████████| 2/2 [06:57<00:00, 208.65s/it]0, 10.23s/it]
+2026-04-26 14:11:03.870 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 210	train_steps 8400	{'step': '210/10000', 'learning_rate': '0.00001000', 'loss': '-9.127e-08', 'grad_norm': '0.00306571', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.09339905', 'grpo_loop_time': '417.29589844', 'ref_model_time': '113.37464905', 'approx_kl': '2.360e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.127e-08', 'kl_loss': '0.00073437', 'kl_moving': '0.00073437', 'kl_stepwise': '1.358e-09', 'gathered_avg_reward_mean': '-0.75478172', 'gathered_avg_reward_std': '0.85501736', 'gathered_videoalign_local_mq_reward_mean': '-0.70194799', 'gathered_videoalign_local_mq_reward_std': '0.31577235', 'gathered_videoalign_local_overall_reward_mean': '-1.65811861', 'gathered_videoalign_local_overall_reward_std': '0.91798818', 'gathered_videoalign_local_ta_reward_mean': '0.14855513', 'gathered_videoalign_local_ta_reward_std': '0.85168594', 'gathered_videoalign_local_vq_reward_mean': '-1.10472572', 'gathered_videoalign_local_vq_reward_std': '0.28241959', 'gathered_ori_avg_reward_mean': '-0.75478172', 'gathered_ori_avg_reward_std': '0.85501736'}
+2026-04-26 14:11:38.576 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=210 (missing=0, unexpected=0)
+2026-04-26 14:11:40.804 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 14:11:40.890 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:11:40.969 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 14:12:44.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000210/group_0/index_6833_seed_11968_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 14:12:45.067 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:12:45.070 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 14:13:47.541 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000210/group_0/index_6833_seed_11969_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 14:13:48.154 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 14:13:48.271 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 14:13:49.198 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.61s/it]
+2026-04-26 14:15:42.525 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.31s (1.89min)
+2026-04-26 14:15:43.300 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 210: training:  50%|█████     | 1/2 [03:26<03:26, 206.96s/it]             2026-04-26 14:22:40.629 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 211, train_steps: 8440
+Global Step 210: training: 100%|██████████| 2/2 [06:57<00:00, 208.66s/it]0, 10.18s/it]
+2026-04-26 14:22:41.267 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 211	train_steps 8440	{'step': '211/10000', 'learning_rate': '0.00001000', 'loss': '8.044e-08', 'grad_norm': '0.00265344', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.41392517', 'grpo_loop_time': '417.32037354', 'ref_model_time': '113.30751801', 'approx_kl': '2.325e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.044e-08', 'kl_loss': '0.00072836', 'kl_moving': '0.00072836', 'kl_stepwise': '1.234e-09', 'gathered_avg_reward_mean': '-1.16653979', 'gathered_avg_reward_std': '0.68264693', 'gathered_videoalign_local_mq_reward_mean': '-0.67535216', 'gathered_videoalign_local_mq_reward_std': '0.42396426', 'gathered_videoalign_local_overall_reward_mean': '-2.11972260', 'gathered_videoalign_local_overall_reward_std': '0.85718840', 'gathered_videoalign_local_ta_reward_mean': '-0.21335709', 'gathered_videoalign_local_ta_reward_std': '0.57981855', 'gathered_videoalign_local_vq_reward_mean': '-1.23101330', 'gathered_videoalign_local_vq_reward_std': '0.24194905', 'gathered_ori_avg_reward_mean': '-1.16653979', 'gathered_ori_avg_reward_std': '0.68264687'}
+2026-04-26 14:22:41.311 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 14:22:41.414 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:22:41.448 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 14:23:44.781 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000211/group_0/index_5117_seed_25587_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 14:23:45.367 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:23:45.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 14:24:47.596 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000211/group_0/index_5117_seed_25588_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 14:24:48.204 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 14:24:48.251 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 14:24:49.146 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 14:26:43.789 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.49s (1.91min)
+2026-04-26 14:26:44.575 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 211: training:  50%|█████     | 1/2 [03:27<03:27, 207.52s/it]             2026-04-26 14:33:43.216 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 212, train_steps: 8480
+Global Step 211: training: 100%|██████████| 2/2 [06:58<00:00, 209.31s/it]0, 10.20s/it]
+2026-04-26 14:33:43.833 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 212	train_steps 8480	{'step': '212/10000', 'learning_rate': '0.00001000', 'loss': '1.614e-07', 'grad_norm': '0.00230393', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '243.18132019', 'grpo_loop_time': '418.62887573', 'ref_model_time': '114.48726654', 'approx_kl': '2.321e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.614e-07', 'kl_loss': '0.00073171', 'kl_moving': '0.00073171', 'kl_stepwise': '8.018e-10', 'gathered_avg_reward_mean': '-0.75010836', 'gathered_avg_reward_std': '0.85725003', 'gathered_videoalign_local_mq_reward_mean': '-0.50555623', 'gathered_videoalign_local_mq_reward_std': '0.44838244', 'gathered_videoalign_local_overall_reward_mean': '-1.51187479', 'gathered_videoalign_local_overall_reward_std': '1.05744779', 'gathered_videoalign_local_ta_reward_mean': '0.01165818', 'gathered_videoalign_local_ta_reward_std': '0.71072638', 'gathered_videoalign_local_vq_reward_mean': '-1.01797688', 'gathered_videoalign_local_vq_reward_std': '0.23976599', 'gathered_ori_avg_reward_mean': '-0.75010830', 'gathered_ori_avg_reward_std': '0.85725009'}
+2026-04-26 14:33:43.886 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 14:33:43.979 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:33:44.022 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 14:34:46.877 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000212/group_0/index_1303_seed_9598_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 14:34:47.448 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:34:47.449 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 14:35:49.624 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000212/group_0/index_1303_seed_9599_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 14:35:50.283 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 14:35:50.425 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 14:35:51.322 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-04-26 14:37:44.537 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.21s (1.89min)
+2026-04-26 14:37:45.309 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 212: training:  50%|█████     | 1/2 [03:27<03:27, 207.59s/it]             2026-04-26 14:44:44.170 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 213, train_steps: 8520
+Global Step 212: training: 100%|██████████| 2/2 [06:58<00:00, 209.40s/it]0, 10.21s/it]
+2026-04-26 14:44:44.758 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 213	train_steps 8520	{'step': '213/10000', 'learning_rate': '0.00001000', 'loss': '-2.352e-08', 'grad_norm': '0.00243969', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.33869934', 'grpo_loop_time': '418.80664062', 'ref_model_time': '113.20841980', 'approx_kl': '2.331e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.352e-08', 'kl_loss': '0.00069177', 'kl_moving': '0.00069177', 'kl_stepwise': '3.609e-10', 'gathered_avg_reward_mean': '-0.81213248', 'gathered_avg_reward_std': '0.78781843', 'gathered_videoalign_local_mq_reward_mean': '-0.72765303', 'gathered_videoalign_local_mq_reward_std': '0.31390992', 'gathered_videoalign_local_overall_reward_mean': '-1.73644805', 'gathered_videoalign_local_overall_reward_std': '0.83639807', 'gathered_videoalign_local_ta_reward_mean': '0.11218330', 'gathered_videoalign_local_ta_reward_std': '0.79740012', 'gathered_videoalign_local_vq_reward_mean': '-1.12097836', 'gathered_videoalign_local_vq_reward_std': '0.21975864', 'gathered_ori_avg_reward_mean': '-0.81213248', 'gathered_ori_avg_reward_std': '0.78781843'}
+2026-04-26 14:44:44.800 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 14:44:44.904 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:44:44.934 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 14:45:47.845 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000213/group_0/index_2436_seed_30250_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 14:45:48.429 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:45:48.430 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 14:46:50.135 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000213/group_0/index_2436_seed_30251_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 14:46:50.749 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 14:46:50.891 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 14:46:51.708 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.14s/it]
+2026-04-26 14:48:44.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.97s (1.88min)
+2026-04-26 14:48:45.536 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 213: training:  50%|█████     | 1/2 [03:27<03:27, 207.93s/it]             2026-04-26 14:55:44.204 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 214, train_steps: 8560
+Global Step 213: training: 100%|██████████| 2/2 [06:58<00:00, 209.32s/it]0, 10.19s/it]
+2026-04-26 14:55:44.777 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 214	train_steps 8560	{'step': '214/10000', 'learning_rate': '0.00001000', 'loss': '-7.078e-08', 'grad_norm': '0.00248075', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.65446472', 'grpo_loop_time': '418.65249634', 'ref_model_time': '112.96627045', 'approx_kl': '2.566e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.078e-08', 'kl_loss': '0.00072614', 'kl_moving': '0.00072614', 'kl_stepwise': '1.852e-09', 'gathered_avg_reward_mean': '-0.62726641', 'gathered_avg_reward_std': '0.80444646', 'gathered_videoalign_local_mq_reward_mean': '-0.55619586', 'gathered_videoalign_local_mq_reward_std': '0.59104991', 'gathered_videoalign_local_overall_reward_mean': '-1.45379472', 'gathered_videoalign_local_overall_reward_std': '1.18464649', 'gathered_videoalign_local_ta_reward_mean': '0.19926184', 'gathered_videoalign_local_ta_reward_std': '0.55516255', 'gathered_videoalign_local_vq_reward_mean': '-1.09686077', 'gathered_videoalign_local_vq_reward_std': '0.36719117', 'gathered_ori_avg_reward_mean': '-0.62726647', 'gathered_ori_avg_reward_std': '0.80444646'}
+2026-04-26 14:55:44.870 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 14:55:44.957 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:55:44.981 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 14:56:47.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000214/group_0/index_9778_seed_18904_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 14:56:48.920 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 14:56:48.923 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 14:57:50.875 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000214/group_0/index_9778_seed_18905_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 14:57:51.510 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 14:57:51.651 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 14:57:52.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 14:59:46.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.39s (1.91min)
+2026-04-26 14:59:47.718 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 214: training:  50%|█████     | 1/2 [03:26<03:26, 206.93s/it]             2026-04-26 15:06:44.132 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 215, train_steps: 8600
+Global Step 214: training: 100%|██████████| 2/2 [06:56<00:00, 208.20s/it]0, 10.13s/it]
+2026-04-26 15:06:44.714 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 215	train_steps 8600	{'step': '215/10000', 'learning_rate': '0.00001000', 'loss': '5.215e-08', 'grad_norm': '0.00258385', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.76106262', 'grpo_loop_time': '416.40435791', 'ref_model_time': '114.38955688', 'approx_kl': '2.461e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.215e-08', 'kl_loss': '0.00074995', 'kl_moving': '0.00074995', 'kl_stepwise': '7.902e-10', 'gathered_avg_reward_mean': '-0.95709056', 'gathered_avg_reward_std': '0.99268126', 'gathered_videoalign_local_mq_reward_mean': '-0.61544728', 'gathered_videoalign_local_mq_reward_std': '0.41442022', 'gathered_videoalign_local_overall_reward_mean': '-1.83045268', 'gathered_videoalign_local_overall_reward_std': '1.16318309', 'gathered_videoalign_local_ta_reward_mean': '-0.08372822', 'gathered_videoalign_local_ta_reward_std': '0.87212682', 'gathered_videoalign_local_vq_reward_mean': '-1.13127720', 'gathered_videoalign_local_vq_reward_std': '0.20904949', 'gathered_ori_avg_reward_mean': '-0.95709050', 'gathered_ori_avg_reward_std': '0.99268132'}
+2026-04-26 15:06:44.804 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 15:06:44.890 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:06:44.925 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 15:07:47.610 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000215/group_0/index_7346_seed_7520_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 15:07:48.167 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:07:48.171 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 15:08:49.943 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000215/group_0/index_7346_seed_7521_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 15:08:50.615 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 15:08:50.681 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 15:08:51.551 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 15:10:44.881 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.20s (1.89min)
+2026-04-26 15:10:45.666 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 215: training:  50%|█████     | 1/2 [03:27<03:27, 207.28s/it]             2026-04-26 15:17:43.231 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 216, train_steps: 8640
+Global Step 215: training: 100%|██████████| 2/2 [06:57<00:00, 208.78s/it]0, 10.18s/it]
+2026-04-26 15:17:43.805 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 216	train_steps 8640	{'step': '216/10000', 'learning_rate': '0.00001000', 'loss': '-8.708e-08', 'grad_norm': '0.00238559', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.78002930', 'grpo_loop_time': '417.55474854', 'ref_model_time': '113.19579315', 'approx_kl': '2.431e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.708e-08', 'kl_loss': '0.00076342', 'kl_moving': '0.00076342', 'kl_stepwise': '1.154e-09', 'gathered_avg_reward_mean': '-0.96724844', 'gathered_avg_reward_std': '0.96604162', 'gathered_videoalign_local_mq_reward_mean': '-0.65471113', 'gathered_videoalign_local_mq_reward_std': '0.35909513', 'gathered_videoalign_local_overall_reward_mean': '-1.86166871', 'gathered_videoalign_local_overall_reward_std': '1.17460251', 'gathered_videoalign_local_ta_reward_mean': '-0.07282823', 'gathered_videoalign_local_ta_reward_std': '0.81215543', 'gathered_videoalign_local_vq_reward_mean': '-1.13412952', 'gathered_videoalign_local_vq_reward_std': '0.29709721', 'gathered_ori_avg_reward_mean': '-0.96724856', 'gathered_ori_avg_reward_std': '0.96604156'}
+2026-04-26 15:17:43.902 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 15:17:43.987 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:17:44.029 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 15:18:46.486 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000216/group_0/index_1131_seed_17444_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 15:18:47.044 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:18:47.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 15:19:48.834 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000216/group_0/index_1131_seed_17445_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 15:19:49.422 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 15:19:49.565 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 15:19:50.450 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.33s/it]
+2026-04-26 15:21:43.748 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.27s (1.89min)
+2026-04-26 15:21:44.528 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 216: training:  50%|█████     | 1/2 [03:26<03:26, 206.91s/it]             2026-04-26 15:28:42.301 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 217, train_steps: 8680
+Global Step 216: training: 100%|██████████| 2/2 [06:57<00:00, 208.88s/it]0, 10.20s/it]
+2026-04-26 15:28:42.943 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 217	train_steps 8680	{'step': '217/10000', 'learning_rate': '0.00001000', 'loss': '7.264e-08', 'grad_norm': '0.00251807', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '240.54391479', 'grpo_loop_time': '417.75390625', 'ref_model_time': '113.27134705', 'approx_kl': '2.424e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.264e-08', 'kl_loss': '0.00076192', 'kl_moving': '0.00076192', 'kl_stepwise': '1.486e-09', 'gathered_avg_reward_mean': '-0.74854612', 'gathered_avg_reward_std': '1.14892900', 'gathered_videoalign_local_mq_reward_mean': '-0.51537746', 'gathered_videoalign_local_mq_reward_std': '0.54462957', 'gathered_videoalign_local_overall_reward_mean': '-1.50248039', 'gathered_videoalign_local_overall_reward_std': '1.42211950', 'gathered_videoalign_local_ta_reward_mean': '0.00538816', 'gathered_videoalign_local_ta_reward_std': '0.98396987', 'gathered_videoalign_local_vq_reward_mean': '-0.99249119', 'gathered_videoalign_local_vq_reward_std': '0.38223812', 'gathered_ori_avg_reward_mean': '-0.74854612', 'gathered_ori_avg_reward_std': '1.14892900'}
+2026-04-26 15:28:42.986 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 15:28:43.082 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:28:43.118 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.86s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 15:29:45.859 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000217/group_0/index_8909_seed_24565_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 15:29:46.437 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:29:46.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-04-26 15:30:48.757 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000217/group_0/index_8909_seed_24566_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 15:30:49.416 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 15:30:49.560 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 15:30:50.397 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.09s/it]
+2026-04-26 15:32:43.645 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.17s (1.89min)
+2026-04-26 15:32:44.428 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 217: training:  50%|█████     | 1/2 [03:27<03:27, 207.16s/it]             2026-04-26 15:39:42.310 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 218, train_steps: 8720
+Global Step 217: training: 100%|██████████| 2/2 [06:57<00:00, 208.94s/it]0, 10.20s/it]
+2026-04-26 15:39:42.904 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 218	train_steps 8720	{'step': '218/10000', 'learning_rate': '0.00001000', 'loss': '-6.985e-08', 'grad_norm': '0.00310685', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.36003113', 'grpo_loop_time': '417.87652588', 'ref_model_time': '113.16774750', 'approx_kl': '2.586e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.985e-08', 'kl_loss': '0.00071284', 'kl_moving': '0.00071284', 'kl_stepwise': '1.662e-09', 'gathered_avg_reward_mean': '-1.07913852', 'gathered_avg_reward_std': '0.60027289', 'gathered_videoalign_local_mq_reward_mean': '-0.57678658', 'gathered_videoalign_local_mq_reward_std': '0.53289014', 'gathered_videoalign_local_overall_reward_mean': '-1.92971146', 'gathered_videoalign_local_overall_reward_std': '0.85983539', 'gathered_videoalign_local_ta_reward_mean': '-0.22856553', 'gathered_videoalign_local_ta_reward_std': '0.49617600', 'gathered_videoalign_local_vq_reward_mean': '-1.12435937', 'gathered_videoalign_local_vq_reward_std': '0.25782374', 'gathered_ori_avg_reward_mean': '-1.07913852', 'gathered_ori_avg_reward_std': '0.60027289'}
+2026-04-26 15:39:42.992 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 15:39:43.082 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:39:43.121 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 15:40:45.885 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000218/group_0/index_919_seed_561_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 15:40:46.462 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:40:46.465 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 15:41:48.499 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000218/group_0/index_919_seed_562_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 15:41:49.055 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 15:41:49.198 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 15:41:49.969 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 15:43:43.512 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.40s (1.89min)
+2026-04-26 15:43:44.279 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 218: training:  50%|█████     | 1/2 [03:27<03:27, 207.80s/it]             2026-04-26 15:50:44.217 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 219, train_steps: 8760
+Global Step 218: training: 100%|██████████| 2/2 [06:59<00:00, 209.96s/it]0, 10.21s/it]
+2026-04-26 15:50:44.792 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 219	train_steps 8760	{'step': '219/10000', 'learning_rate': '0.00001000', 'loss': '2.328e-09', 'grad_norm': '0.00392897', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.20507812', 'grpo_loop_time': '419.92193604', 'ref_model_time': '113.40270233', 'approx_kl': '2.734e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.328e-09', 'kl_loss': '0.00081412', 'kl_moving': '0.00081412', 'kl_stepwise': '1.538e-09', 'gathered_avg_reward_mean': '-0.97789127', 'gathered_avg_reward_std': '0.86092770', 'gathered_videoalign_local_mq_reward_mean': '-0.83310342', 'gathered_videoalign_local_mq_reward_std': '0.27061737', 'gathered_videoalign_local_overall_reward_mean': '-2.02659369', 'gathered_videoalign_local_overall_reward_std': '0.94403833', 'gathered_videoalign_local_ta_reward_mean': '0.07081097', 'gathered_videoalign_local_ta_reward_std': '0.80259132', 'gathered_videoalign_local_vq_reward_mean': '-1.26430106', 'gathered_videoalign_local_vq_reward_std': '0.16907240', 'gathered_ori_avg_reward_mean': '-0.97789127', 'gathered_ori_avg_reward_std': '0.86092764'}
+2026-04-26 15:50:44.875 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 15:50:44.979 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:50:45.010 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 15:51:47.937 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000219/group_0/index_2135_seed_16974_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 15:51:48.935 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 15:51:48.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 15:52:50.837 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000219/group_0/index_2135_seed_16975_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 15:52:51.509 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 15:52:51.648 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 15:52:52.436 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-04-26 15:54:45.933 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.29s (1.89min)
+2026-04-26 15:54:46.696 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 219: training:  50%|█████     | 1/2 [03:27<03:27, 207.34s/it]             2026-04-26 16:01:44.582 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 220, train_steps: 8800
+Global Step 219: training: 100%|██████████| 2/2 [06:57<00:00, 208.93s/it]0, 10.20s/it]
+2026-04-26 16:01:45.130 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 220	train_steps 8800	{'step': '220/10000', 'learning_rate': '0.00001000', 'loss': '5.867e-08', 'grad_norm': '0.00297650', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.73925781', 'grpo_loop_time': '417.86419678', 'ref_model_time': '113.29039764', 'approx_kl': '2.661e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.867e-08', 'kl_loss': '0.00080678', 'kl_moving': '0.00080678', 'kl_stepwise': '1.401e-09', 'gathered_avg_reward_mean': '-0.74915516', 'gathered_avg_reward_std': '0.80549842', 'gathered_videoalign_local_mq_reward_mean': '-0.72198457', 'gathered_videoalign_local_mq_reward_std': '0.37535328', 'gathered_videoalign_local_overall_reward_mean': '-1.67743039', 'gathered_videoalign_local_overall_reward_std': '0.98037124', 'gathered_videoalign_local_ta_reward_mean': '0.17912006', 'gathered_videoalign_local_ta_reward_std': '0.73100507', 'gathered_videoalign_local_vq_reward_mean': '-1.13456583', 'gathered_videoalign_local_vq_reward_std': '0.30462411', 'gathered_ori_avg_reward_mean': '-0.74915516', 'gathered_ori_avg_reward_std': '0.80549836'}
+2026-04-26 16:02:19.931 | INFO     | __main__:maybe_update_ref_model_for_kl:685 - [Moving KL] Updated ref_model at update_step=220 (missing=0, unexpected=0)
+2026-04-26 16:02:22.112 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 16:02:22.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:02:22.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 16:03:25.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000220/group_0/index_9566_seed_29737_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 16:03:26.005 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:03:26.010 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-04-26 16:04:28.512 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000220/group_0/index_9566_seed_29738_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 16:04:29.257 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 16:04:29.491 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 16:04:30.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.35s/it]
+2026-04-26 16:06:23.382 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.97s (1.88min)
+2026-04-26 16:06:24.161 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 220: training:  50%|█████     | 1/2 [03:26<03:26, 206.40s/it]             2026-04-26 16:13:20.866 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 221, train_steps: 8840
+Global Step 220: training: 100%|██████████| 2/2 [06:56<00:00, 208.37s/it]0, 10.17s/it]
+2026-04-26 16:13:21.465 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 221	train_steps 8840	{'step': '221/10000', 'learning_rate': '0.00001000', 'loss': '1.094e-08', 'grad_norm': '0.00202020', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.96803284', 'grpo_loop_time': '416.73730469', 'ref_model_time': '112.96526337', 'approx_kl': '2.537e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.094e-08', 'kl_loss': '0.00064745', 'kl_moving': '0.00064745', 'kl_stepwise': '1.876e-09', 'gathered_avg_reward_mean': '-1.11006320', 'gathered_avg_reward_std': '0.74945742', 'gathered_videoalign_local_mq_reward_mean': '-0.58588207', 'gathered_videoalign_local_mq_reward_std': '0.47226045', 'gathered_videoalign_local_overall_reward_mean': '-1.97770262', 'gathered_videoalign_local_overall_reward_std': '0.88612545', 'gathered_videoalign_local_ta_reward_mean': '-0.24242365', 'gathered_videoalign_local_ta_reward_std': '0.71089405', 'gathered_videoalign_local_vq_reward_mean': '-1.14939690', 'gathered_videoalign_local_vq_reward_std': '0.22479227', 'gathered_ori_avg_reward_mean': '-1.11006308', 'gathered_ori_avg_reward_std': '0.74945754'}
+2026-04-26 16:13:21.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 16:13:21.636 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:13:21.675 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 16:14:24.384 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000221/group_0/index_8632_seed_15629_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 16:14:24.938 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:14:24.941 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-04-26 16:15:27.224 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000221/group_0/index_8632_seed_15630_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 16:15:27.851 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 16:15:28.149 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 16:15:29.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.41s/it]
+2026-04-26 16:17:22.294 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.19s (1.89min)
+2026-04-26 16:17:23.060 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 221: training:  50%|█████     | 1/2 [03:25<03:25, 205.69s/it]             2026-04-26 16:24:18.909 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 222, train_steps: 8880
+Global Step 221: training: 100%|██████████| 2/2 [06:55<00:00, 207.92s/it]0, 10.17s/it]
+2026-04-26 16:24:19.547 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 222	train_steps 8880	{'step': '222/10000', 'learning_rate': '0.00001000', 'loss': '-5.029e-08', 'grad_norm': '0.00217455', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.42599487', 'grpo_loop_time': '415.83670044', 'ref_model_time': '113.18633270', 'approx_kl': '2.789e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.029e-08', 'kl_loss': '0.00064001', 'kl_moving': '0.00064001', 'kl_stepwise': '8.891e-10', 'gathered_avg_reward_mean': '-0.60339516', 'gathered_avg_reward_std': '0.84638673', 'gathered_videoalign_local_mq_reward_mean': '-0.60599208', 'gathered_videoalign_local_mq_reward_std': '0.57278371', 'gathered_videoalign_local_overall_reward_mean': '-1.42887259', 'gathered_videoalign_local_overall_reward_std': '1.17272723', 'gathered_videoalign_local_ta_reward_mean': '0.22208230', 'gathered_videoalign_local_ta_reward_std': '0.62421697', 'gathered_videoalign_local_vq_reward_mean': '-1.04496276', 'gathered_videoalign_local_vq_reward_std': '0.30442879', 'gathered_ori_avg_reward_mean': '-0.60339510', 'gathered_ori_avg_reward_std': '0.84638667'}
+2026-04-26 16:24:19.587 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 16:24:19.681 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:24:19.725 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 16:25:22.580 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000222/group_0/index_7856_seed_25236_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 16:25:23.148 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:25:23.152 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 16:26:24.928 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000222/group_0/index_7856_seed_25237_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 16:26:25.461 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 16:26:25.602 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 16:26:26.403 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.04s/it]
+2026-04-26 16:28:20.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.60s (1.89min)
+2026-04-26 16:28:20.937 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 222: training:  50%|█████     | 1/2 [03:27<03:27, 207.21s/it]             2026-04-26 16:35:18.482 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 223, train_steps: 8920
+Global Step 222: training: 100%|██████████| 2/2 [06:57<00:00, 208.77s/it]0, 10.17s/it]
+2026-04-26 16:35:19.045 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 223	train_steps 8920	{'step': '223/10000', 'learning_rate': '0.00001000', 'loss': '-2.049e-08', 'grad_norm': '0.00273002', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.20960999', 'grpo_loop_time': '417.53756714', 'ref_model_time': '113.60157013', 'approx_kl': '2.379e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.049e-08', 'kl_loss': '0.00069918', 'kl_moving': '0.00069918', 'kl_stepwise': '1.170e-09', 'gathered_avg_reward_mean': '-0.82884103', 'gathered_avg_reward_std': '0.70997924', 'gathered_videoalign_local_mq_reward_mean': '-0.57023084', 'gathered_videoalign_local_mq_reward_std': '0.51446176', 'gathered_videoalign_local_overall_reward_mean': '-1.60259342', 'gathered_videoalign_local_overall_reward_std': '0.97715384', 'gathered_videoalign_local_ta_reward_mean': '-0.05508875', 'gathered_videoalign_local_ta_reward_std': '0.59162074', 'gathered_videoalign_local_vq_reward_mean': '-0.97727382', 'gathered_videoalign_local_vq_reward_std': '0.33747882', 'gathered_ori_avg_reward_mean': '-0.82884109', 'gathered_ori_avg_reward_std': '0.70997924'}
+2026-04-26 16:35:19.139 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 16:35:19.226 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:35:19.255 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.87s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.87s/it]
+2026-04-26 16:36:22.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000223/group_0/index_3360_seed_15333_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 16:36:22.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:36:22.846 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 16:37:24.734 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000223/group_0/index_3360_seed_15334_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 16:37:25.380 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 16:37:25.525 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 16:37:26.315 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.03s/it]
+2026-04-26 16:39:20.526 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.08s (1.90min)
+2026-04-26 16:39:21.310 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 223: training:  50%|█████     | 1/2 [03:26<03:26, 206.55s/it]             2026-04-26 16:46:18.193 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 224, train_steps: 8960
+Global Step 223: training: 100%|██████████| 2/2 [06:56<00:00, 208.40s/it]0, 10.18s/it]
+2026-04-26 16:46:18.773 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 224	train_steps 8960	{'step': '224/10000', 'learning_rate': '0.00001000', 'loss': '2.771e-08', 'grad_norm': '0.00275205', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '242.08840942', 'grpo_loop_time': '416.81042480', 'ref_model_time': '114.08459473', 'approx_kl': '2.319e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.771e-08', 'kl_loss': '0.00072513', 'kl_moving': '0.00072513', 'kl_stepwise': '1.256e-09', 'gathered_avg_reward_mean': '-1.08716679', 'gathered_avg_reward_std': '0.77997857', 'gathered_videoalign_local_mq_reward_mean': '-0.58186877', 'gathered_videoalign_local_mq_reward_std': '0.53927165', 'gathered_videoalign_local_overall_reward_mean': '-1.95952749', 'gathered_videoalign_local_overall_reward_std': '1.04338098', 'gathered_videoalign_local_ta_reward_mean': '-0.21480615', 'gathered_videoalign_local_ta_reward_std': '0.62734902', 'gathered_videoalign_local_vq_reward_mean': '-1.16285253', 'gathered_videoalign_local_vq_reward_std': '0.27431086', 'gathered_ori_avg_reward_mean': '-1.08716679', 'gathered_ori_avg_reward_std': '0.77997857'}
+2026-04-26 16:46:18.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 16:46:18.958 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:46:18.995 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.84s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 16:47:21.720 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000224/group_0/index_4144_seed_28232_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 16:47:22.808 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:47:22.813 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.85s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.85s/it]
+2026-04-26 16:48:24.569 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000224/group_0/index_4144_seed_28233_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 16:48:25.169 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 16:48:25.309 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 16:48:26.086 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.11s/it]
+2026-04-26 16:50:19.663 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.43s (1.89min)
+2026-04-26 16:50:20.637 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 224: training:  50%|█████     | 1/2 [03:27<03:27, 207.65s/it]             2026-04-26 16:57:18.968 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1774 - Rank 0, sp_rank 0: update step: 225, train_steps: 9000
+Global Step 224: training: 100%|██████████| 2/2 [06:58<00:00, 209.12s/it]0, 10.19s/it]
+2026-04-26 16:57:19.553 | INFO     | __main__:_log_progress_step:1734 - Training Progress: update_steps 225	train_steps 9000	{'step': '225/10000', 'learning_rate': '0.00001000', 'loss': '-6.519e-09', 'grad_norm': '0.00274262', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '241.49813843', 'grpo_loop_time': '418.25061035', 'ref_model_time': '113.43063354', 'approx_kl': '2.117e-16', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.519e-09', 'kl_loss': '0.00071460', 'kl_moving': '0.00071460', 'kl_stepwise': '1.218e-09', 'gathered_avg_reward_mean': '-0.82495749', 'gathered_avg_reward_std': '0.73433530', 'gathered_videoalign_local_mq_reward_mean': '-0.59174943', 'gathered_videoalign_local_mq_reward_std': '0.48435220', 'gathered_videoalign_local_overall_reward_mean': '-1.68006873', 'gathered_videoalign_local_overall_reward_std': '0.93165189', 'gathered_videoalign_local_ta_reward_mean': '0.03015387', 'gathered_videoalign_local_ta_reward_std': '0.67282844', 'gathered_videoalign_local_vq_reward_mean': '-1.11847329', 'gathered_videoalign_local_vq_reward_std': '0.30781296', 'gathered_ori_avg_reward_mean': '-0.82495749', 'gathered_ori_avg_reward_std': '0.73433530'}
+2026-04-26 16:57:19.593 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:493 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-04-26 16:57:19.700 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:57:19.742 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 16:58:22.667 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000225/group_0/index_5012_seed_14984_dp_0_rank_0_sample_0_slot_0.mp4
+2026-04-26 16:58:23.256 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:621 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-04-26 16:58:23.259 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:646 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.86s/it][00:57<00:00,  2.85s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.86s/it]
+2026-04-26 16:59:24.996 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:748 - Rank 0: Saved video 1/1 to ./outputs/yw004-flow-baseline/rl_samples/0000225/group_0/index_5012_seed_14985_dp_0_rank_0_sample_1_slot_1.mp4
+2026-04-26 16:59:25.589 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:268 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'videoalign_local_mq', 'videoalign_local_overall', 'videoalign_local_ta', 'videoalign_local_vq']
+2026-04-26 16:59:25.730 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:336 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-04-26 16:59:26.567 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:847 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-04-26 17:01:20.242 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:990 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.59s (1.89min)
+2026-04-26 17:01:21.021 | INFO     | hyvideo.utils.grpo_utils:train_one_step:1433 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 225: training:   0%|          | 0/2 [00:00<?, ?it/s]
+GRPO TimeStep Training, inner_step 1:  65%|██████▌   | 13/20 [02:16<01:11, 10.25s/it]
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/requirements.txt b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c1ce05732c3c94af40365b556df8b55f8e2e7707
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/requirements.txt
@@ -0,0 +1,280 @@
+awscli==1.44.69
+boto3==1.42.79
+botocore==1.42.79
+certifi==2026.2.25
+charset-normalizer==3.4.6
+colorama==0.4.6
+docutils==0.19
+idna==3.11
+jmespath==1.1.0
+pip==26.0.1
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.33.1
+rsa==4.7.2
+s3transfer==0.16.0
+six==1.17.0
+urllib3==2.6.3
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.11.1+cu130
+tifffile==2026.4.11
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.58.0
+sentencepiece==0.2.1
+regex==2026.4.4
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.4.1
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.0
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.0.1
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.1.2
+Mako==1.3.11
+loguru==0.7.3
+lmdb==2.2.0
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.4.0
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.3
+aiohappyeyeballs==2.6.1
+yarl==1.23.0
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.49
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+wheel==0.47.0
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+typeguard==4.5.1
+huggingface_hub==0.36.2
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.0.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.47
+diffusers==0.37.1
+coremltools==9.0
+alembic==1.18.4
+aiohttp==3.13.5
+wandb==0.26.1
+sniffio==1.3.1
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.25.17
+termcolor==3.3.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+torchdata==0.8.0
+torchaudio==2.10.0+cu130
+deepspeed==0.18.9
+timm==1.0.26
+pytorch-lightning==2.6.1
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.1
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.6.0
+shortuuid==1.0.13
+setuptools==82.0.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.14.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.13
+tiktoken==0.12.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+transformers==4.57.1
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.21.0
+onnx-ir==0.2.0
+onnxscript==0.6.2
+transformer_engine==2.9.0+70f5366
+zipp==3.23.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.13.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.13.0
+apsw==3.51.3.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.14.3
+blis==1.3.3
+catalogue==2.0.10
+cloudpathlib==0.23.0
+cloudpickle==3.1.2
+confection==1.3.3
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.12.34
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.5
+fasttransform==0.0.2
+fonttools==4.62.1
+grpcio==1.80.0
+h11==0.16.0
+hf-xet==1.4.3
+httpcore==1.0.9
+httptools==0.7.1
+httpx==0.28.1
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+Markdown==3.10.2
+markdown-it-py==4.0.0
+matplotlib==3.10.8
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.2
+plum-dispatch==2.8.0
+preshed==3.0.13
+protobuf==7.34.1
+pydantic==2.12.5
+pydantic_core==2.41.5
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.13.2
+python-multipart==0.0.22
+rich==14.3.3
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+safetensors==0.7.0
+scikit-learn==1.8.0
+shellingham==1.5.4
+smart_open==7.5.1
+soupsieve==2.8.3
+spacy==3.8.14
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.0.0
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.13
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+typer==0.24.1
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.42.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.1.1
+weasel==1.0.0
+websockets==16.0
+Werkzeug==3.1.7
+wrapt==2.1.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.3.1
+comm==0.2.3
+cryptography==46.0.6
+Cython==3.2.4
+debugpy==1.8.20
+decorator==5.2.1
+executing==2.2.1
+filelock==3.25.2
+h5py==3.16.0
+intel-cmplr-lib-ur==2025.3.3
+intel-openmp==2025.3.3
+ipykernel==7.2.0
+ipython==9.12.0
+ipython_pygments_lexers==1.1.1
+jedi==0.19.2
+Jinja2==3.1.6
+jupyter_client==8.8.0
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.1
+mkl==2025.3.1
+mkl-include==2025.3.1
+mpi4py==4.1.1
+nest-asyncio==1.6.0
+ninja==1.13.0
+onemkl-license==2025.3.1
+opencv-python==4.11.0.86
+packaging==26.0
+parso==0.8.6
+pexpect==4.9.0
+platformdirs==4.9.4
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.3
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.0.0
+pytz==2026.1.post1
+pyzmq==27.1.0
+scipy==1.17.1
+stack-data==0.6.3
+tbb==2022.3.1
+tcmlib==1.4.1
+tornado==6.5.5
+tqdm==4.67.3
+traitlets==5.14.3
+typing==3.7.4.3
+typing_extensions==4.15.0
+tzdata==2025.3
+umf==1.0.3
+wcwidth==0.6.0
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/wandb-metadata.json b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6d409c8de1725ae9094697478d06a6ce50653ce8
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/files/wandb-metadata.json
@@ -0,0 +1,145 @@
+{
+  "os":  "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.10",
+  "startedAt":  "2026-04-24T16:20:32.298498Z",
+  "args":  [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw004-flow-baseline",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "flow_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline"
+  ],
+  "program":  "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath":  "post_train.py",
+  "codePathLocal":  "post_train.py",
+  "git":  {
+    "remote":  "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit":  "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root":  "./outputs/yw004-flow-baseline/wandb",
+  "host":  "ywang29-hunyuan-flow-baseline-worker-0",
+  "username":  "yi-fan-wang1216",
+  "executable":  "/usr/local/bin/python",
+  "cpu_count":  48,
+  "cpu_count_logical":  96,
+  "gpu":  "NVIDIA A100-SXM4-80GB",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "7516777873408",
+      "used":  "431426215936"
+    }
+  },
+  "memory":  {
+    "total":  "1204539252736"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-14317920-54dd-31fc-6d37-f9a222942ed6"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-ab7afb48-fc73-734b-2e56-e810097646f5"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-8df4903d-4e75-e2f9-7b21-ce8f361b0de5"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-f370c5d9-4f67-7b29-2bd3-a77ff0c1d5ca"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-7e3efcc4-084e-920c-9786-93fe69487135"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-ae31ee0d-b542-9b92-ad60-e70c7ae2d3b8"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-4c548f90-da7f-26bd-a11d-01847ff7cc12"
+    },
+    {
+      "name":  "NVIDIA A100-SXM4-80GB",
+      "memoryTotal":  "85899345920",
+      "cudaCores":  6912,
+      "architecture":  "Ampere",
+      "uuid":  "GPU-e25d0791-2f4a-50a5-acdd-926477ba85ac"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "9ifybliw26sscct6v6l99gx9vlwxr6lq"
+}
\ No newline at end of file
diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug-internal.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..c73d9b7212b0163a6c8ca88adfe3b6c67637b17f
--- /dev/null
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diff --git a/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug.log b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..e869048709b5f168c70e511cd22fd8df9975670a
--- /dev/null
+++ b/outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug.log
@@ -0,0 +1,20 @@
+2026-04-24 16:20:32,321 INFO    MainThread:1779 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_setup.py:_flush():81] Configure stats pid to 1779
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:setup_run_log_directory():723] Logging user logs to outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug.log
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to outputs/yw004-flow-baseline/wandb/wandb/run-20260424_162032-7bzi27an/logs/debug-internal.log
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:init():850] calling init triggers
+2026-04-24 16:20:32,322 INFO    MainThread:1779 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw004-flow-baseline', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw004-flow-baseline/yw004-flow-baseline', 'save_interval': 100, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw004-flow-baseline', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 100, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': 'assets/demo_train.csv', 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'videoalign_local', 'reward_config': {'models': {'videoalign_local': {'weight': 1.0, 'sub_reward': {'VQ': 0.5, 'MQ': 0.5, 'TA': 1.0}}}, 'reward_checkpoint_mode': 'v3'}, 'reward_checkpoint_mode': 'v3', 'reward_weights': {'VQ': 0.5, 'MQ': 0.5, 'TA': 1.0}, 'remote_reward_url': None, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'flow_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-04-24 16:20:32,323 INFO    MainThread:1779 [wandb_init.py:init():898] starting backend
+2026-04-24 16:20:32,613 INFO    MainThread:1779 [wandb_init.py:init():913] sending inform_init request
+2026-04-24 16:20:32,867 INFO    MainThread:1779 [wandb_init.py:init():918] backend started and connected
+2026-04-24 16:20:32,870 INFO    MainThread:1779 [wandb_init.py:init():988] updated telemetry
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+2026-04-24 16:20:33,496 INFO    MainThread:1779 [wandb_init.py:init():1094] run started, returning control to user process