Upload SCOPE FastVideo LoRA comparisons

.gitattributes

@@ -37,3 +37,18 @@ NAVA/idx0_画面呈现电影质感的写实风格，整体色调以暖-av-0.mp4
 NAVA/idx1_这是一段具有史诗级写实电影质感的视频，整-av-0.mp4 filter=lfs diff=lfs merge=lfs -text
 NAVA/idx2_画面呈现奇幻写实电影质感，整体色调以幽蓝-av-0.mp4 filter=lfs diff=lfs merge=lfs -text
 NAVA/idx3_画面呈现史诗级蒸汽朋克写实电影风格，整体-av-0.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_0_scope_30step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_0_scope_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_0_scope_lora_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_0_scope_lora_vsa_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_1_scope_30step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_1_scope_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_1_scope_lora_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_1_scope_lora_vsa_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_2_scope_30step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_2_scope_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_2_scope_lora_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/clips/example_2_scope_lora_vsa_3step.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/comparisons/example_0_comparison.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/comparisons/example_1_comparison.mp4 filter=lfs diff=lfs merge=lfs -text
+SCOPE_fastvideo/comparisons/example_2_comparison.mp4 filter=lfs diff=lfs merge=lfs -text

SCOPE_fastvideo/clips/example_0_scope_30step.mp4

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SCOPE_fastvideo/clips/example_0_scope_3step.mp4

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SCOPE_fastvideo/clips/example_0_scope_lora_3step.mp4

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SCOPE_fastvideo/clips/example_0_scope_lora_vsa_3step.mp4

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SCOPE_fastvideo/clips/example_1_scope_30step.mp4

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+size 1022290

SCOPE_fastvideo/clips/example_1_scope_3step.mp4

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+size 1478917

SCOPE_fastvideo/clips/example_1_scope_lora_3step.mp4

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+size 1196829

SCOPE_fastvideo/clips/example_1_scope_lora_vsa_3step.mp4

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+size 1196829

SCOPE_fastvideo/clips/example_2_scope_30step.mp4

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+size 836780

SCOPE_fastvideo/clips/example_2_scope_3step.mp4

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+size 780348

SCOPE_fastvideo/clips/example_2_scope_lora_3step.mp4

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+size 869663

SCOPE_fastvideo/clips/example_2_scope_lora_vsa_3step.mp4

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+size 869663

SCOPE_fastvideo/comparisons/example_0_comparison.mp4

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+size 25240204

SCOPE_fastvideo/comparisons/example_1_comparison.mp4

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+size 11494531

SCOPE_fastvideo/comparisons/example_2_comparison.mp4

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+size 6476827

SCOPE_fastvideo/environment.json

@@ -0,0 +1,13 @@
+{
+  "python": "3.12.9 | packaged by Anaconda, Inc. | (main, Feb  6 2025, 18:56:27) [GCC 11.2.0]",
+  "executable": "/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python",
+  "cwd": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA",
+  "time": "2026-06-08 04:40:04",
+  "torch": {
+    "version": "2.5.0+cu124",
+    "cuda": "12.4",
+    "cuda_available": true,
+    "bf16_supported": true,
+    "device_name": "NVIDIA H100 80GB HBM3"
+  }
+}

SCOPE_fastvideo/logs/example_0_scope_30step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/action.parquet --prompt 'In a whimsical, toy-inspired garden, the first-person view reveals a tactical weapon aimed forward along a sunlit path. The vibrant environment includes oversized flowers, colorful building blocks, and towering structures. In the foreground, a carved wooden sign reads ROSE GARDEN, accompanied by giant puzzle pieces scattered across the ground. The surroundings are filled with fairy lights hanging from trees, creating a warm, golden glow. The garden looks like a miniature diorama, set in a charming and playful atmosphere.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_0/scope_30step --height 480 --width 832 --max_frames 81 --num_inference_steps 30 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_0_scope_3step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/action.parquet --prompt 'In a whimsical, toy-inspired garden, the first-person view reveals a tactical weapon aimed forward along a sunlit path. The vibrant environment includes oversized flowers, colorful building blocks, and towering structures. In the foreground, a carved wooden sign reads ROSE GARDEN, accompanied by giant puzzle pieces scattered across the ground. The surroundings are filled with fairy lights hanging from trees, creating a warm, golden glow. The garden looks like a miniature diorama, set in a charming and playful atmosphere.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_0/scope_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_0_scope_lora_3step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/action.parquet --prompt 'In a whimsical, toy-inspired garden, the first-person view reveals a tactical weapon aimed forward along a sunlit path. The vibrant environment includes oversized flowers, colorful building blocks, and towering structures. In the foreground, a carved wooden sign reads ROSE GARDEN, accompanied by giant puzzle pieces scattered across the ground. The surroundings are filled with fairy lights hanging from trees, creating a warm, golden glow. The garden looks like a miniature diorama, set in a charming and playful atmosphere.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_0/scope_lora_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode --fastvideo_lora_path_or_repo /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors --lora_strength 1.0
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_0_scope_lora_vsa_3step.log

@@ -0,0 +1,33 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/action.parquet --prompt 'In a whimsical, toy-inspired garden, the first-person view reveals a tactical weapon aimed forward along a sunlit path. The vibrant environment includes oversized flowers, colorful building blocks, and towering structures. In the foreground, a carved wooden sign reads ROSE GARDEN, accompanied by giant puzzle pieces scattered across the ground. The surroundings are filled with fairy lights hanging from trees, creating a warm, golden glow. The garden looks like a miniature diorama, set in a charming and playful atmosphere.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_0/scope_lora_vsa_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode --fastvideo_lora_path_or_repo /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors --lora_strength 1.0 --use_vsa --vsa_sparsity 0.9
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
  0%|          | 0/3 [00:00<?, ?it/s]/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/diffsynth/models/scope_dit.py:99: RuntimeWarning: SCOPE VSA kernel disabled for this runtime; falling back to full attention. device=NVIDIA H100 80GB HBM3, torch=2.5.0+cu124, triton=3.1.0, fastvideo-kernel=0.2.6. Set SCOPE_FORCE_VSA_KERNEL=1 to bypass this guard.
+  warnings.warn(
+
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+
+

SCOPE_fastvideo/logs/example_1_scope_30step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/action.parquet --prompt 'A breathtaking view of a vibrant fantasy world spread across a vast, open valley, seen through the lens of an FPS perspective. The scene merges intricate architecture, lush terrain, and majestic cliffs, with the forefront focusing on a finely detailed, sleek assault rifle held firmly by a character in dark attire. The weapon, with its matte black finish and tactical design, gleams softly in the light. It is equipped with a reflex sight and a foregrip, ready for action. All of this is set under a vivid blue sky filled with puffy clouds and bathed in soft light.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_1/scope_30step --height 480 --width 832 --max_frames 81 --num_inference_steps 30 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_1_scope_3step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/action.parquet --prompt 'A breathtaking view of a vibrant fantasy world spread across a vast, open valley, seen through the lens of an FPS perspective. The scene merges intricate architecture, lush terrain, and majestic cliffs, with the forefront focusing on a finely detailed, sleek assault rifle held firmly by a character in dark attire. The weapon, with its matte black finish and tactical design, gleams softly in the light. It is equipped with a reflex sight and a foregrip, ready for action. All of this is set under a vivid blue sky filled with puffy clouds and bathed in soft light.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_1/scope_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_1_scope_lora_3step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/action.parquet --prompt 'A breathtaking view of a vibrant fantasy world spread across a vast, open valley, seen through the lens of an FPS perspective. The scene merges intricate architecture, lush terrain, and majestic cliffs, with the forefront focusing on a finely detailed, sleek assault rifle held firmly by a character in dark attire. The weapon, with its matte black finish and tactical design, gleams softly in the light. It is equipped with a reflex sight and a foregrip, ready for action. All of this is set under a vivid blue sky filled with puffy clouds and bathed in soft light.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_1/scope_lora_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode --fastvideo_lora_path_or_repo /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors --lora_strength 1.0
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_1_scope_lora_vsa_3step.log

@@ -0,0 +1,33 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_1/action.parquet --prompt 'A breathtaking view of a vibrant fantasy world spread across a vast, open valley, seen through the lens of an FPS perspective. The scene merges intricate architecture, lush terrain, and majestic cliffs, with the forefront focusing on a finely detailed, sleek assault rifle held firmly by a character in dark attire. The weapon, with its matte black finish and tactical design, gleams softly in the light. It is equipped with a reflex sight and a foregrip, ready for action. All of this is set under a vivid blue sky filled with puffy clouds and bathed in soft light.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_1/scope_lora_vsa_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode --fastvideo_lora_path_or_repo /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors --lora_strength 1.0 --use_vsa --vsa_sparsity 0.9
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
  0%|          | 0/3 [00:00<?, ?it/s]/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/diffsynth/models/scope_dit.py:99: RuntimeWarning: SCOPE VSA kernel disabled for this runtime; falling back to full attention. device=NVIDIA H100 80GB HBM3, torch=2.5.0+cu124, triton=3.1.0, fastvideo-kernel=0.2.6. Set SCOPE_FORCE_VSA_KERNEL=1 to bypass this guard.
+  warnings.warn(
+
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+
+

SCOPE_fastvideo/logs/example_2_scope_30step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/action.parquet --prompt 'In a mist-shrouded, rain-soaked mountain valley, a tactical rifle is held firmly in the player'"'"'s hand, aiming down a stone-paved path towards a monumental gate. The scene is filled with ancient stone statues, lanterns, and a distant Asian-style temple framed by towering cliffs, all shrouded in fog and lit by the glow of torches, creating an atmosphere of mystery and looming danger.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_2/scope_30step --height 480 --width 832 --max_frames 81 --num_inference_steps 30 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_2_scope_3step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/action.parquet --prompt 'In a mist-shrouded, rain-soaked mountain valley, a tactical rifle is held firmly in the player'"'"'s hand, aiming down a stone-paved path towards a monumental gate. The scene is filled with ancient stone statues, lanterns, and a distant Asian-style temple framed by towering cliffs, all shrouded in fog and lit by the glow of torches, creating an atmosphere of mystery and looming danger.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_2/scope_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_2_scope_lora_3step.log

@@ -0,0 +1,31 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/action.parquet --prompt 'In a mist-shrouded, rain-soaked mountain valley, a tactical rifle is held firmly in the player'"'"'s hand, aiming down a stone-paved path towards a monumental gate. The scene is filled with ancient stone statues, lanterns, and a distant Asian-style temple framed by towering cliffs, all shrouded in fog and lit by the glow of torches, creating an atmosphere of mystery and looming danger.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_2/scope_lora_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode --fastvideo_lora_path_or_repo /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors --lora_strength 1.0
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
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+
+

SCOPE_fastvideo/logs/example_2_scope_lora_vsa_3step.log

@@ -0,0 +1,33 @@
+$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_2/action.parquet --prompt 'In a mist-shrouded, rain-soaked mountain valley, a tactical rifle is held firmly in the player'"'"'s hand, aiming down a stone-paved path towards a monumental gate. The scene is filled with ancient stone statues, lanterns, and a distant Asian-style temple framed by towering cliffs, all shrouded in fog and lit by the glow of torches, creating an atmosphere of mystery and looming danger.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_2/scope_lora_vsa_3step --height 480 --width 832 --max_frames 81 --num_inference_steps 3 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode --fastvideo_lora_path_or_repo /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors --lora_strength 1.0 --use_vsa --vsa_sparsity 0.9
+
+/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_text_encoder",
+    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
+    "extra_kwargs": null
+}
+Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
+Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
+No wan_video_dit models available. This is not an error.
+Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
+No wan_video_image_encoder models available. This is not an error.
+No wan_video_motion_controller models available. This is not an error.
+No wan_video_vace models available. This is not an error.
+No wan_video_vap models available. This is not an error.
+No wans2v_audio_encoder models available. This is not an error.
+No wan_video_animate_adapter models available. This is not an error.
+
+
  0%|          | 0/3 [00:00<?, ?it/s]/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/diffsynth/models/scope_dit.py:99: RuntimeWarning: SCOPE VSA kernel disabled for this runtime; falling back to full attention. device=NVIDIA H100 80GB HBM3, torch=2.5.0+cu124, triton=3.1.0, fastvideo-kernel=0.2.6. Set SCOPE_FORCE_VSA_KERNEL=1 to bypass this guard.
+  warnings.warn(
+
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+
+

SCOPE_fastvideo/manifest.json

@@ -0,0 +1,254 @@
+{
+  "cases": [
+    {
+      "case": "example_0",
+      "prompt": "In a whimsical, toy-inspired garden, the first-person view reveals a tactical weapon aimed forward along a sunlit path. The vibrant environment includes oversized flowers, colorful building blocks, and towering structures. In the foreground, a carved wooden sign reads ROSE GARDEN, accompanied by giant puzzle pieces scattered across the ground. The surroundings are filled with fairy lights hanging from trees, creating a warm, golden glow. The garden looks like a miniature diorama, set in a charming and playful atmosphere.",
+      "variants": [
+        {
+          "name": "scope_30step",
+          "label": "SCOPE 30-step",
+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_0_scope_30step.mp4",
+          "seconds": 514.189,
+          "probe": {
+            "width": 832,
+            "height": 480,
+            "avg_frame_rate": "20.000000/1",
+            "nb_read_frames": "81",
+            "duration": 4.05,
+            "size_bytes": 2140754
+          },
+          "skipped_existing": false
+        },
+        {
+          "name": "scope_3step",
+          "label": "SCOPE 3-step",
+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_0_scope_3step.mp4",
+          "seconds": 81.669,
+          "probe": {
+            "width": 832,
+            "height": 480,
+            "avg_frame_rate": "20.000000/1",
+            "nb_read_frames": "81",
+            "duration": 4.05,
+            "size_bytes": 3109044
+          },
+          "skipped_existing": false
+        },
+        {
+          "name": "scope_lora_3step",
+          "label": "SCOPE + DMD LoRA",
+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_0_scope_lora_3step.mp4",
+          "seconds": 86.319,
+          "probe": {
+            "width": 832,
+            "height": 480,
+            "avg_frame_rate": "20.000000/1",
+            "nb_read_frames": "81",
+            "duration": 4.05,
+            "size_bytes": 2804542
+          },
+          "skipped_existing": false
+        },
+        {
+          "name": "scope_lora_vsa_3step",
+          "label": "SCOPE + DMD LoRA + VSA",
+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_0_scope_lora_vsa_3step.mp4",
+          "seconds": 83.593,
+          "probe": {
+            "width": 832,
+            "height": 480,
+            "avg_frame_rate": "20.000000/1",
+            "nb_read_frames": "81",
+            "duration": 4.05,
+            "size_bytes": 2804542
+          },
+          "skipped_existing": false
+        }
+      ],
+      "comparison_path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/comparisons/example_0_comparison.mp4",
+      "comparison_probe": {
+        "width": 1664,
+        "height": 960,
+        "avg_frame_rate": "20.000000/1",
+        "nb_read_frames": "81",
+        "duration": 4.05,
+        "size_bytes": 25240204
+      }
+    },
+    {
+      "case": "example_1",
+      "prompt": "A breathtaking view of a vibrant fantasy world spread across a vast, open valley, seen through the lens of an FPS perspective. The scene merges intricate architecture, lush terrain, and majestic cliffs, with the forefront focusing on a finely detailed, sleek assault rifle held firmly by a character in dark attire. The weapon, with its matte black finish and tactical design, gleams softly in the light. It is equipped with a reflex sight and a foregrip, ready for action. All of this is set under a vivid blue sky filled with puffy clouds and bathed in soft light.",
+      "variants": [
+        {
+          "name": "scope_30step",
+          "label": "SCOPE 30-step",
+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_1_scope_30step.mp4",
+          "seconds": 102.503,
+          "probe": {
+            "width": 832,
+            "height": 480,
+            "avg_frame_rate": "20.000000/1",
+            "nb_read_frames": "81",
+            "duration": 4.05,
+            "size_bytes": 1022290
+          },
+          "skipped_existing": false
+        },
+        {
+          "name": "scope_3step",
+          "label": "SCOPE 3-step",
+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_1_scope_3step.mp4",
+          "seconds": 78.51,
+          "probe": {
+            "width": 832,
+            "height": 480,
+            "avg_frame_rate": "20.000000/1",
+            "nb_read_frames": "81",
+            "duration": 4.05,
+            "size_bytes": 1478917
+          },
+          "skipped_existing": false
+        },
+        {
+          "name": "scope_lora_3step",
+          "label": "SCOPE + DMD LoRA",
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+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_1_scope_lora_vsa_3step.mp4",
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+          "path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/clips/example_2_scope_lora_vsa_3step.mp4",
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+  "settings": {
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+    "examples_dir": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples",
+    "scope_model_dir": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE",
+    "fastvideo_lora_path_or_repo": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/fastvideo_dmd_lora/adapter_r32.safetensors",
+    "output_dir": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full",
+    "case_ids": "0,1,2",
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+    "width": 832,
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+    "baseline_steps": 30,
+    "fast_steps": 3,
+    "seed": 0,
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+    "lora_strength": 1.0,
+    "vsa_sparsity": 0.9,
+    "dmd_denoising_steps": "1000,757,522",
+    "upload": true,
+    "hf_repo_id": "Andyson/lora",
+    "hf_repo_type": "model",
+    "hf_path_in_repo": "SCOPE_fastvideo"
+  },
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+}