diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000000.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000000.log
index 4ee0033da778db0ddc51e30c893c3bb78869d0e7..8b821d7e26327725c66bf5c1970c8a0a38411386 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000000.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000000.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a residential mudroom with an entryway area, with soft warm gray walls and white wainscot panels, light yellow pine plank floor slightly worn, and a row of black iron coat hooks holding a denim jacket on the wall. In the foreground, there is a warm taupe-painted three-drawer dresser with matte gold bar pulls, and a pair of leather boots and a folded scarf rest on a low wooden bench beside it. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=274  num_clips=4
+
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+  clip 2/4: 55.2s
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+  clip 3/4: 52.1s
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+  clip 4/4: 48.9s
+
Saving video:   0%|          | 0/274 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000000/generated_ext1.mp4
+
Saving video:   0%|          | 0/274 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000000/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11283.7ms  total=  11.3s
+  clip_total         n=  4  mean= 52761.3ms  total= 211.0s
 
+Done in 222.5s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000001.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000001.log
index 2a4f49a0d90d6e8a066c117ab30f85694aac0df8..f6a535069dd96872f06c0a7356a724487c9187ad 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000001.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000001.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a baby nursery with a changing area, with soft white walls and a gentle pale gray painted arch, light yellow maple plank floor, and a knit mobile turning slowly above a crib in warm diffused light. In the foreground, there is a weathered driftwood-gray three-drawer dresser with rope pull handles, and a folded muslin blanket and a small woven basket of toys sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=276  num_clips=4
+
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+  clip 2/4: 54.0s
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+  clip 3/4: 50.7s
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+  clip 4/4: 51.1s
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000001/generated_ext1.mp4
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000001/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11778.6ms  total=  11.8s
+  clip_total         n=  4  mean= 52956.3ms  total= 211.8s
 
+Done in 224.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000002.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000002.log
index 7cbb9dc5accdfc3949adbff051e98287d9fadc6d..ead79ca0d5f561058b3e1e575f94eadba7f899ff 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000002.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000002.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a tidy classroom with a learning area, with bright white walls and a long pale gray pinboard, light gray speckled vinyl floor, and rows of small desks under even fluorescent-style ceiling light. In the foreground, there is a classic white three-drawer dresser with faceted crystal glass knobs, and a globe and a neat cup of colored pencils are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=276  num_clips=4
+
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+  clip 4/4: 44.8s
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000002/generated_ext1.mp4
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000002/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11532.2ms  total=  11.5s
+  clip_total         n=  4  mean= 47943.6ms  total= 191.8s
 
+Done in 203.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000003.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000003.log
index 57a46012e9d3f061b47c156d09a883a222cee574..5a1f7af466c2a16a914d078539bcc3729eb43e9a 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000003.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000003.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a cozy cafe with a counter area, with warm white walls and a small chalkboard menu, light yellow oak plank floor, and a row of hanging Edison bulbs glowing over a wooden service counter. In the foreground, there is a cherry-wood three-drawer dresser with brushed-brass handles, and a ceramic mug and a small jar of sugar sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=267  num_clips=4
+
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+  clip 1/4: 56.4s
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+  clip 2/4: 55.8s
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+  clip 4/4: 49.5s
+
Saving video:   0%|          | 0/267 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000003/generated_ext1.mp4
+
Saving video:   0%|          | 0/267 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000003/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11946.6ms  total=  11.9s
+  clip_total         n=  4  mean= 53174.2ms  total= 212.7s
 
+Done in 224.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000004.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000004.log
index 89ab4b6c48ed71a47dd611ad5d31284875dd2d4d..05725e139376ec1b9bb380f83f428ed22609d02b 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000004.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000004.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a medical clinic waiting area with a reception area, with clean white walls and a soft gray accent panel, light gray sealed-vinyl floor, and calm even light from a wide ceiling diffuser. In the foreground, there is a light gray three-drawer dresser with simple round white knobs, and a small potted plant and a neat fan of magazines rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=266  num_clips=4
+
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+  clip 1/4: 41.9s
+
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+
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+  clip 3/4: 45.0s
+
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+  clip 4/4: 46.8s
+
Saving video:   0%|          | 0/266 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000004/generated_ext1.mp4
+
Saving video:   0%|          | 0/266 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 266/266 [00:00<00:00, 645.59it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000004/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 10880.6ms  total=  10.9s
+  clip_total         n=  4  mean= 45938.9ms  total= 183.8s
 
+Done in 194.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000005.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000005.log
index de42ec27b5d61cef00411fbbbe7fbee66f29f7ab..538a5e0021639b62a315873fe60a8bba001781f8 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000005.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000005.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a modern furniture showroom with a display area, with clean white walls and recessed ceiling spotlights washing them evenly, light gray sealed concrete floor in a smooth wide pour, and a single linen-upholstered armchair set back as a display piece. In the foreground, there is a smooth matte white three-drawer dresser with brushed-steel bar handles, and a small folded brochure and a square ceramic vase are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=266  num_clips=4
+
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+  clip 1/4: 52.5s
+
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+  clip 2/4: 53.7s
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+  clip 3/4: 50.5s
+
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+  clip 4/4: 49.6s
+
Saving video:   0%|          | 0/266 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000005/generated_ext1.mp4
+
Saving video:   0%|          | 0/266 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 266/266 [00:00<00:00, 598.54it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000005/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11886.3ms  total=  11.9s
+  clip_total         n=  4  mean= 51582.8ms  total= 206.3s
 
+Done in 218.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000006.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000006.log
index cb65560444c77e13f9c1723d345c22cfd4a4d212..74fcaf20207597cb11b6bafea4ba7206a29b6e12 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000006.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000006.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a bright sunroom with a relaxing area, with white-painted walls and white window mullions, light yellow pine plank floor, and a wall of tall windows pouring warm sunlight over a few leafy potted plants. In the foreground, there is a natural rattan-and-wood three-drawer dresser with small wooden knobs, and a watering can and a small terracotta pot sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=277  num_clips=4
+
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+
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+  clip 1/4: 50.6s
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+  clip 2/4: 55.5s
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+  clip 3/4: 52.3s
+
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+
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+  clip 4/4: 47.5s
+
Saving video:   0%|          | 0/277 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
Saving video:   0%|          | 1/277 [00:00<01:35,  2.90it/s]
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000006/generated_ext1.mp4
+
Saving video:   0%|          | 0/277 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 277/277 [00:00<00:00, 661.03it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000006/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12218.3ms  total=  12.2s
+  clip_total         n=  4  mean= 51484.6ms  total= 205.9s
 
+Done in 218.5s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000007.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000007.log
index 9dca022370356aee94603411b9dca2c2da8730e7..db3da4997ded86f71a13977a14144b92c885168d 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000007.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000007.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a walk-in dressing room with a wardrobe area, with soft white walls and slim gray trim, white-painted herringbone wood floor, and a tall mirror reflecting a row of neatly hung clothes under warm rail lighting. In the foreground, there is a soft greige-painted three-drawer dresser with polished brass knobs, and a folded silk scarf and a small jewelry tray rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+
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+  clip 4/4: 47.2s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000007/generated_ext1.mp4
+
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+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000007/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12942.6ms  total=  12.9s
+  clip_total         n=  4  mean= 49885.9ms  total= 199.5s
 
+Done in 212.7s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000008.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000008.log
index a80a7facde3983e1b81af1a941431d1094407d43..26427d88fb4def289c2e8e116f96ab97df9f4225 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000008.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000008.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a quiet reading nook with a window area, with warm gray walls and a white window seat, light yellow oak plank floor, and a soft pool of lamplight beside a cushioned bench under a tall bookshelf. In the foreground, there is an olive-green painted three-drawer dresser with aged-brass knobs, and an open paperback and a steaming mug of tea sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=260  num_clips=4
+
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+  clip 4/4: 50.3s
+
Saving video:   0%|          | 0/260 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000008/generated_ext1.mp4
+
Saving video:   0%|          | 0/260 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000008/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13400.8ms  total=  13.4s
+  clip_total         n=  4  mean= 47983.4ms  total= 191.9s
 
+Done in 205.5s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000009.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000009.log
index e10206f5993316223c15031c343829499405594d..789b1971349eee05104780394fea2995784f897a 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000009.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000009.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a photography studio with a shooting area, with seamless white walls and a white sweep backdrop, light gray smooth concrete floor, and a softbox light stand glowing evenly to one side. In the foreground, there is an industrial-style three-drawer dresser with a metal frame and reclaimed-wood drawer fronts and black pipe handles, and a folded gray reflector and a small clapperboard rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=249  num_clips=4
+
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+  clip 3/4: 49.9s
+
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+
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+  clip 4/4: 45.2s
+
Saving video:   0%|          | 0/249 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 249/249 [00:00<00:00, 624.94it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000009/generated_ext1.mp4
+
Saving video:   0%|          | 0/249 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 249/249 [00:00<00:00, 627.88it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000009/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 10232.5ms  total=  10.2s
+  clip_total         n=  4  mean= 47851.2ms  total= 191.4s
 
+Done in 201.8s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000010.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000010.log
index 35e5d55d7ae7c6e06a930f9c1f6097cd7fadee0f..1165be9c5d361794f2092f39444f8975cc0c9d1a 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000010.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000010.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a coastal vacation rental kitchenette with a breakfast area, with soft white walls and horizontal shiplap on the lower half, light yellow weathered pine plank floor, and warm morning sun filtering through a sheer linen curtain on the right. In the foreground, there is a light ash three-drawer dresser with smooth recessed cut-out handles, and a small ceramic bowl of seashells and a stack of striped dish towels rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=274  num_clips=4
+
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+  clip 1/4: 53.0s
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+  clip 2/4: 51.4s
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+  clip 3/4: 50.9s
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+  clip 4/4: 46.7s
+
Saving video:   0%|          | 0/274 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000010/generated_ext1.mp4
+
Saving video:   0%|          | 0/274 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 274/274 [00:00<00:00, 735.09it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000010/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11708.5ms  total=  11.7s
+  clip_total         n=  4  mean= 50481.8ms  total= 201.9s
 
+Done in 213.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000011.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000011.log
index 0cce3b548c57b89ddb8d6a911f3b18adf97752b1..4646621d061d3010491d95bc366f554f0d18c598 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000011.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000011.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a modern kitchen with a cooking area, with clean white walls, light yellow oak hardwood floor, and a row of white quartz countertops along the back wall under bright daylight. In the foreground, there is a white three-drawer dresser with slim black bar handles, and a stainless steel kettle and a small vase of fresh herbs sit on a side counter. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=279  num_clips=4
+
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+  clip 4/4: 44.5s
+
Saving video:   0%|          | 0/279 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000011/generated_ext1.mp4
+
Saving video:   0%|          | 0/279 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000011/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12006.4ms  total=  12.0s
+  clip_total         n=  4  mean= 50740.5ms  total= 203.0s
 
+Done in 215.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000012.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000012.log
index bc2edf270d034118dec722fee1f4058e87cbf073..4f3ded52fcbb8deb19e9547e83403adfa6c505f7 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000012.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000012.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a farmhouse kitchen with a baking area, with warm white shiplap walls, light yellow weathered pine plank floor, and an open shelf of ceramic crockery beside a window letting in soft morning sun. In the foreground, there is a warm cream-painted three-drawer dresser with small brushed-brass knobs, and a wooden bowl of lemons and a folded gingham towel rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=277  num_clips=4
+
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+  clip 1/4: 43.1s
+
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+  clip 4/4: 47.6s
+
Saving video:   0%|          | 0/277 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000012/generated_ext1.mp4
+
Saving video:   0%|          | 0/277 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000012/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13802.3ms  total=  13.8s
+  clip_total         n=  4  mean= 46557.3ms  total= 186.2s
 
+Done in 200.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000013.log b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000013.log
index 3cdf22e6b410153f232eb8b890694d1777d4509d..ad06230906c4d532441d2be5ba1b11579ec872b4 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b1_ep00000013.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b1_ep00000013.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a narrow galley kitchen with a prep area, with bright white walls and a white subway-tile backsplash, light gray vinyl plank floor, and slim under-cabinet lights glowing along both runs of cabinetry. In the foreground, there is a light oak three-drawer dresser with natural wood grain and recessed finger pulls, and a chrome utensil holder and a small potted basil plant sit nearby. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=261  num_clips=4
+
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+  clip 1/4: 43.2s
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+  clip 2/4: 46.4s
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+  clip 3/4: 47.6s
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+
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+  clip 4/4: 43.9s
+
Saving video:   0%|          | 0/261 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000013/generated_ext1.mp4
+
Saving video:   0%|          | 0/261 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 261/261 [00:00<00:00, 432.92it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b1_ep00000013/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11064.7ms  total=  11.1s
+  clip_total         n=  4  mean= 45293.5ms  total= 181.2s
 
+Done in 192.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000000.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000000.log
index 352a5cfe8427a449f62bcfc3577753d4dfc796bc..8fdf07e051cd825bc2390854d51492bb06430bd8 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000000.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000000.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an industrial loft kitchen with a dining area, with white-painted brick walls, polished gray concrete floor, and a black-framed factory window flooding the room with cool afternoon light. In the foreground, there is a natural pine three-drawer dresser with round wooden knobs, and a cast-iron pan and a stack of enamel mugs are arranged on the counter. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=262  num_clips=4
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+
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+  clip 4/4: 45.6s
+
Saving video:   0%|          | 0/262 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000000/generated_ext1.mp4
+
Saving video:   0%|          | 0/262 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000000/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12147.6ms  total=  12.1s
+  clip_total         n=  4  mean= 48007.5ms  total= 192.0s
 
+Done in 204.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000001.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000001.log
index 09a70205aefaf51bc5a568625281adf3f74750fe..20dcce19ec4563c6e9d23a29fdac51f3331d6699 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000001.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000001.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a home office with a desk area, with warm gray walls, light yellow maple hardwood floor, and sheer curtains diffusing soft afternoon sun across the room. In the foreground, there is a honey-toned maple three-drawer dresser with brushed-nickel cup pulls, and a closed silver laptop and a small potted succulent are placed on the desk surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=281  num_clips=4
+
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+  clip 2/4: 53.5s
+
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+  clip 3/4: 49.4s
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+  clip 4/4: 41.7s
+
Saving video:   0%|          | 0/281 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000001/generated_ext1.mp4
+
Saving video:   0%|          | 0/281 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000001/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13707.4ms  total=  13.7s
+  clip_total         n=  4  mean= 48253.5ms  total= 193.0s
 
+Done in 206.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000002.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000002.log
index abe25308f2c8d5abbe29680723df156af6e1786f..ab8f884f9a9ab560a7025bf6804a781293446723 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000002.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000002.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a corporate office with a workstation area, with crisp white walls and a glass partition, medium gray carpet-tile floor, and even cool light from recessed ceiling panels. In the foreground, there is a dark walnut three-drawer dresser with matte black bar pulls, and a black desk monitor and a neat tray of pens sit on the surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=264  num_clips=4
+
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+  clip 3/4: 47.3s
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+
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+  clip 4/4: 45.1s
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 264/264 [00:00<00:00, 632.29it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000002/generated_ext1.mp4
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 264/264 [00:00<00:00, 608.20it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000002/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13203.1ms  total=  13.2s
+  clip_total         n=  4  mean= 43353.8ms  total= 173.4s
 
+Done in 186.7s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000003.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000003.log
index e8fdf99ffe16beb90b0f1eee78a07d36b06a0dbe..5a773865acc015fa21c2c8c4f5d88287d454efad 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000003.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000003.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an open-plan coworking space with a lounge area, with bright white walls and pale wood acoustic panels, light yellow birch plank floor, and a long row of pendant lights over a shared table. In the foreground, there is an espresso-brown three-drawer dresser with antique bronze handles, and a ceramic mug and a small stack of notebooks rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=276  num_clips=4
+
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+  clip 1/4: 42.3s
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+  clip 2/4: 46.7s
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+  clip 3/4: 47.6s
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+
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+  clip 4/4: 45.7s
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000003/generated_ext1.mp4
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000003/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12547.6ms  total=  12.5s
+  clip_total         n=  4  mean= 45591.6ms  total= 182.4s
 
+Done in 195.1s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000004.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000004.log
index 02be9ee4aef220f13cc04d134f0157175d416ae9..fb71881328480d7fc26d33ccc960f018286eefc5 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000004.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000004.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an office breakroom with a coffee area, with bright white walls, medium gray polished concrete floor, and overhead LED panels casting cool even light across the room. In the foreground, there is a matte black three-drawer dresser with slim leather pull tabs, and a chrome coffee machine and a neat stack of paper cups are arranged on the laminate counter. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=257  num_clips=4
+
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+  clip 4/4: 43.5s
+
Saving video:   0%|          | 0/257 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000004/generated_ext1.mp4
+
Saving video:   0%|          | 0/257 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 257/257 [00:00<00:00, 639.56it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000004/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14156.4ms  total=  14.2s
+  clip_total         n=  4  mean= 46061.3ms  total= 184.2s
 
+Done in 198.7s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000005.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000005.log
index 8ff67f0f1b83cf2291c91e2a459d6208a7db958c..841c7c7a8f65fc327151568822faa28f55a52c10 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000005.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000005.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a modern bedroom with a sleeping area, with muted dove gray walls and white baseboards, light yellow ash hardwood floor glowing warm in late-afternoon light, and a queen bed dressed in a soft linen duvet against the far wall. In the foreground, there is a charcoal-gray three-drawer dresser with long chrome handles, and a small ceramic lamp and a folded knit blanket are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=285  num_clips=4
+
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+
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+  clip 3/4: 48.8s
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+  clip 4/4: 42.4s
+
Saving video:   0%|          | 0/285 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 285/285 [00:00<00:00, 468.47it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000005/generated_ext1.mp4
+
Saving video:   0%|          | 0/285 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 285/285 [00:00<00:00, 586.96it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000005/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 18770.4ms  total=  18.8s
+  clip_total         n=  4  mean= 46297.5ms  total= 185.2s
 
+Done in 204.1s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000006.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000006.log
index fd4dd31c53e6fbaec1e58dab88074ad2e7d0c9d7..ef59a9f625e3b52925ff0e8d298485b75a2b7ceb 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000006.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000006.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a children's bedroom with a play area, with soft white walls and a single pale gray accent stripe, light yellow pine plank floor, and a low bookshelf of picture books beside a round rug. In the foreground, there is a soft sage-green painted three-drawer dresser with white ceramic knobs, and a plush teddy bear and a small wooden toy box sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=264  num_clips=4
+
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+  clip 1/4: 40.4s
+
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+  clip 4/4: 46.7s
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 264/264 [00:00<00:00, 494.29it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000006/generated_ext1.mp4
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 264/264 [00:00<00:00, 608.80it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000006/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11786.2ms  total=  11.8s
+  clip_total         n=  4  mean= 44777.2ms  total= 179.1s
 
+Done in 191.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000007.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000007.log
index bfc12d9edde847a37f66410ccf2f67bab0dae12e..2591767e53246aa69374e73d42141f5629291b87 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000007.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000007.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a guest bedroom with a reading area, with warm gray walls and white crown molding, white-painted wide-plank wood floor, and a small armchair under a window with a linen roman shade. In the foreground, there is a dusty-blue painted three-drawer dresser with brushed-brass bar pulls, and a folded quilt and a glass of water on a coaster rest on the surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=292  num_clips=4
+
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+  clip 1/4: 42.3s
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+  clip 2/4: 52.3s
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+
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+  clip 4/4: 46.5s
+
Saving video:   0%|          | 0/292 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000007/generated_ext1.mp4
+
Saving video:   0%|          | 0/292 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000007/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14668.0ms  total=  14.7s
+  clip_total         n=  4  mean= 48287.1ms  total= 193.1s
 
+Done in 208.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000008.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000008.log
index 387c37fa590ca2f55aa3587550fd3b4acec49e0b..511620f08539f2dda2a430c65eae319bb9cb7c6b 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000008.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000008.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a contemporary living room with a seating area, with light gray walls, light yellow honey-oak hardwood floor, and a low sofa with neutral cushions facing a flat console under soft lamplight. In the foreground, there is a pale gray three-drawer dresser with smooth handle-less integrated edge pulls, and a stack of coffee-table books and a small fern in a pot sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=278  num_clips=4
+
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+  clip 2/4: 48.4s
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+  clip 3/4: 45.9s
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+
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+  clip 4/4: 41.7s
+
Saving video:   0%|          | 0/278 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000008/generated_ext1.mp4
+
Saving video:   0%|          | 0/278 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000008/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13676.7ms  total=  13.7s
+  clip_total         n=  4  mean= 44880.1ms  total= 179.5s
 
+Done in 193.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000009.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000009.log
index 77f07eb5c1cae0ff6a6f9f0b115ebc8d5b81e2b0..4aaca02f803ad161ee552974e894afef8c70e9f3 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000009.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000009.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a dining room with a table area, with off-white walls and simple white wainscoting, light gray engineered-wood floor, and a slim linear pendant hanging over a wooden dining table. In the foreground, there is a mid-century teak three-drawer dresser with sculpted wooden pulls, and a ceramic fruit bowl and a folded table runner are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=266  num_clips=4
+
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+  clip 1/4: 50.7s
+
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+  clip 3/4: 48.1s
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+  clip 4/4: 41.1s
+
Saving video:   0%|          | 0/266 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000009/generated_ext1.mp4
+
Saving video:   0%|          | 0/266 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000009/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 17031.0ms  total=  17.0s
+  clip_total         n=  4  mean= 47428.7ms  total= 189.7s
 
+Done in 206.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000010.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000010.log
index f4808ab025aeaba0a7f0d1ef8b69c455ad5ce35c..a27d7cf3482c53215e2cff915f7933b6d1c2bc7b 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000010.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000010.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a residential entryway with a foyer area, with crisp white walls, light yellow oak parquet floor in a herringbone pattern, and a round mirror catching daylight from a glass front door. In the foreground, there is a two-tone three-drawer dresser with a white frame and natural-wood drawer fronts and round black knobs, and a small dish of keys and a folded pair of gloves rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=275  num_clips=4
+
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+  clip 1/4: 39.0s
+
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+  clip 2/4: 42.7s
+
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+  clip 3/4: 44.8s
+
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+
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+  clip 4/4: 45.4s
+
Saving video:   0%|          | 0/275 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000010/generated_ext1.mp4
+
Saving video:   0%|          | 0/275 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000010/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12692.1ms  total=  12.7s
+  clip_total         n=  4  mean= 42992.7ms  total= 172.0s
 
+Done in 184.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000011.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000011.log
index daf7fb7dc532ce400d8d5339a1e6c13ff8f68065..0ce8b647806e5a4a69876328a86dc11e595c344a 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000011.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000011.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a bright residential hallway with a transitional area, with smooth white walls and a row of framed black-and-white prints, light gray laminate floor, and warm wash light from evenly spaced ceiling fixtures. In the foreground, there is a distressed white farmhouse three-drawer dresser with oil-rubbed bronze cup pulls, and a slim table lamp and a small woven tray sit on the surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=261  num_clips=4
+
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+  clip 2/4: 48.3s
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+  clip 3/4: 47.3s
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+  clip 4/4: 45.1s
+
Saving video:   0%|          | 0/261 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000011/generated_ext1.mp4
+
Saving video:   0%|          | 0/261 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000011/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12010.9ms  total=  12.0s
+  clip_total         n=  4  mean= 45144.0ms  total= 180.6s
 
+Done in 192.7s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000012.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000012.log
index 1a9c561901573200b9ee719445a8b9b57922cc2f..e237377f7fb08eeff98435e1cf260812a643a4ad 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000012.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000012.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a boutique retail shop with a display area, with matte white walls and a single horizontal black accent line at picture height, medium gray polished concrete floor, and warm spotlights from an exposed ceiling track. In the foreground, there is a glossy white three-drawer dresser with polished gold handles, and a folded cashmere sweater and a small leather price tag rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=263  num_clips=4
+
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+  clip 3/4: 43.7s
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+  clip 4/4: 43.5s
+
Saving video:   0%|          | 0/263 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000012/generated_ext1.mp4
+
Saving video:   0%|          | 0/263 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000012/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13413.6ms  total=  13.4s
+  clip_total         n=  4  mean= 44414.6ms  total= 177.7s
 
+Done in 191.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000013.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000013.log
index 8b1e9c2ee58616c64e41c90e9bd5b255e044934f..88292df4d9a1d6d9e0e4a75336fa7d7abf86e29b 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000013.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000013.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a boutique hotel room with a lounge area, with crisp white walls and slim brass picture rails, bleached white oak plank floor, and a single arc floor lamp curving over a side table. In the foreground, there is a light gray-washed oak three-drawer dresser with slim black handles, and a folded linen throw and a small porcelain ring tray sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=258  num_clips=4
+
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+  clip 1/4: 47.6s
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+  clip 2/4: 47.4s
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+  clip 3/4: 46.1s
+
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+
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+  clip 4/4: 40.5s
+
Saving video:   0%|          | 0/258 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
Saving video:   0%|          | 1/258 [00:00<00:40,  6.32it/s]
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Saving video: 100%|██████████| 258/258 [00:00<00:00, 567.52it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000013/generated_ext1.mp4
+
Saving video:   0%|          | 0/258 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 258/258 [00:00<00:00, 715.53it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000013/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12765.2ms  total=  12.8s
+  clip_total         n=  4  mean= 45416.9ms  total= 181.7s
 
+Done in 194.6s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000014.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000014.log
index 40412e6c3c1f58d03c2c24ca12276d7ed5b2f01a..91383cc63c071a38de2adb4c2cb63d5442d7fdba 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000014.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000014.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a small home library with a reading area, with off-white walls and chair-rail trim, light yellow honey-toned oak parquet floor, and a built-in white bookshelf packed with hardcover books along the back wall. In the foreground, there is a navy-blue painted three-drawer dresser with brass ring pulls, and a green-shaded reading lamp and a small stack of leather-bound books are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+
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+  clip 4/4: 44.9s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000014/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000014/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14071.2ms  total=  14.1s
+  clip_total         n=  4  mean= 42783.6ms  total= 171.1s
 
+Done in 185.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000015.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000015.log
index 0dd0689e36a057627f7d6d701a4efba5537ccdb8..310348c13157a0a21920453a4d18a75b1031323f 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000015.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000015.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an artist studio loft with a painting area, with bare white painted brick walls, white-painted concrete floor with faint paint splatters, and a wooden easel beside a tall stool catching bright north-facing daylight. In the foreground, there is a natural birch three-drawer dresser with minimalist black knobs, and a few jars of brushes and a folded paint-stained cloth rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=279  num_clips=4
+
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+  clip 1/4: 40.2s
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+
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+  clip 2/4: 48.8s
+
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+  clip 3/4: 48.6s
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+  clip 4/4: 45.8s
+
Saving video:   0%|          | 0/279 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000015/generated_ext1.mp4
+
Saving video:   0%|          | 0/279 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000015/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13045.7ms  total=  13.0s
+  clip_total         n=  4  mean= 45858.2ms  total= 183.4s
 
+Done in 196.7s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000016.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000016.log
index 0af411637533bba1acc8c12ca813e34f9afc2eed..3c75ca7032c42513ada3e570f902fc9755e9cfa5 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000016.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000016.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a small residential laundry room with a folding area, with bright white walls and subway-tile wainscoting at the bottom, white hex porcelain tile floor with thin gray grout lines, and soft daylight filtering through a small window. In the foreground, there is a cream three-drawer dresser with woven rattan drawer fronts and small wooden knobs, and a wicker basket and a folded stack of white towels sit on a low bench beside it. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+  clip 4/4: 41.4s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000016/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000016/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 16020.2ms  total=  16.0s
+  clip_total         n=  4  mean= 44520.6ms  total= 178.1s
 
+Done in 194.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000017.log b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000017.log
index 4ee0033da778db0ddc51e30c893c3bb78869d0e7..63f607bbcae93cfb183ca21fa3cf65a79491f843 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b2_ep00000017.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b2_ep00000017.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a residential mudroom with an entryway area, with soft warm gray walls and white wainscot panels, light yellow pine plank floor slightly worn, and a row of black iron coat hooks holding a denim jacket on the wall. In the foreground, there is a warm taupe-painted three-drawer dresser with matte gold bar pulls, and a pair of leather boots and a folded scarf rest on a low wooden bench beside it. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=294  num_clips=4
+
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+  clip 1/4: 43.8s
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+  clip 2/4: 47.0s
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+
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+  clip 4/4: 43.0s
+
Saving video:   0%|          | 0/294 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000017/generated_ext1.mp4
+
Saving video:   0%|          | 0/294 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 294/294 [00:00<00:00, 714.82it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b2_ep00000017/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14531.9ms  total=  14.5s
+  clip_total         n=  4  mean= 44860.6ms  total= 179.4s
 
+Done in 194.1s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000000.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000000.log
index 2a4f49a0d90d6e8a066c117ab30f85694aac0df8..13b8d1fc6cff26e61e4755f5b238810d3d1ffde3 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000000.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000000.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a baby nursery with a changing area, with soft white walls and a gentle pale gray painted arch, light yellow maple plank floor, and a knit mobile turning slowly above a crib in warm diffused light. In the foreground, there is a weathered driftwood-gray three-drawer dresser with rope pull handles, and a folded muslin blanket and a small woven basket of toys sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=278  num_clips=4
+
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+  clip 3/4: 51.5s
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+  clip 4/4: 47.9s
+
Saving video:   0%|          | 0/278 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000000/generated_ext1.mp4
+
Saving video:   0%|          | 0/278 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000000/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14118.5ms  total=  14.1s
+  clip_total         n=  4  mean= 46157.3ms  total= 184.6s
 
+Done in 198.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000001.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000001.log
index 7cbb9dc5accdfc3949adbff051e98287d9fadc6d..39d6956c59003c19bb302eace88bef3fd49221b3 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000001.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000001.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a tidy classroom with a learning area, with bright white walls and a long pale gray pinboard, light gray speckled vinyl floor, and rows of small desks under even fluorescent-style ceiling light. In the foreground, there is a classic white three-drawer dresser with faceted crystal glass knobs, and a globe and a neat cup of colored pencils are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=263  num_clips=4
+
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+  clip 2/4: 48.6s
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+  clip 3/4: 48.7s
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+  clip 4/4: 45.5s
+
Saving video:   0%|          | 0/263 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 263/263 [00:00<00:00, 627.74it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000001/generated_ext1.mp4
+
Saving video:   0%|          | 0/263 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 263/263 [00:00<00:00, 704.25it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000001/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12796.2ms  total=  12.8s
+  clip_total         n=  4  mean= 46149.5ms  total= 184.6s
 
+Done in 197.6s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000002.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000002.log
index 57a46012e9d3f061b47c156d09a883a222cee574..4a6012d13fcb92d5c990c391f3831f136de1526b 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000002.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000002.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a cozy cafe with a counter area, with warm white walls and a small chalkboard menu, light yellow oak plank floor, and a row of hanging Edison bulbs glowing over a wooden service counter. In the foreground, there is a cherry-wood three-drawer dresser with brushed-brass handles, and a ceramic mug and a small jar of sugar sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=264  num_clips=4
+
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+  clip 2/4: 49.2s
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+  clip 3/4: 47.7s
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+  clip 4/4: 41.5s
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000002/generated_ext1.mp4
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 264/264 [00:00<00:00, 607.39it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000002/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13512.4ms  total=  13.5s
+  clip_total         n=  4  mean= 46099.2ms  total= 184.4s
 
+Done in 198.1s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000003.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000003.log
index 89ab4b6c48ed71a47dd611ad5d31284875dd2d4d..bd5bac04126953f5277a9b97e807f90032b7439a 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000003.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000003.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a medical clinic waiting area with a reception area, with clean white walls and a soft gray accent panel, light gray sealed-vinyl floor, and calm even light from a wide ceiling diffuser. In the foreground, there is a light gray three-drawer dresser with simple round white knobs, and a small potted plant and a neat fan of magazines rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+  clip 4/4: 42.4s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000003/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000003/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13506.5ms  total=  13.5s
+  clip_total         n=  4  mean= 44302.1ms  total= 177.2s
 
+Done in 190.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000004.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000004.log
index de42ec27b5d61cef00411fbbbe7fbee66f29f7ab..ef6bfdc27dfc1ca13b8703b8daccb27d70d389be 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000004.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000004.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a modern furniture showroom with a display area, with clean white walls and recessed ceiling spotlights washing them evenly, light gray sealed concrete floor in a smooth wide pour, and a single linen-upholstered armchair set back as a display piece. In the foreground, there is a smooth matte white three-drawer dresser with brushed-steel bar handles, and a small folded brochure and a square ceramic vase are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=268  num_clips=4
+
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+  clip 4/4: 47.5s
+
Saving video:   0%|          | 0/268 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000004/generated_ext1.mp4
+
Saving video:   0%|          | 0/268 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000004/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12206.1ms  total=  12.2s
+  clip_total         n=  4  mean= 44870.6ms  total= 179.5s
 
+Done in 192.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000005.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000005.log
index cb65560444c77e13f9c1723d345c22cfd4a4d212..7a3afbfbeebb7e926f88c1661b9d3acafbfe982d 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000005.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000005.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a bright sunroom with a relaxing area, with white-painted walls and white window mullions, light yellow pine plank floor, and a wall of tall windows pouring warm sunlight over a few leafy potted plants. In the foreground, there is a natural rattan-and-wood three-drawer dresser with small wooden knobs, and a watering can and a small terracotta pot sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=269  num_clips=4
+
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+  clip 4/4: 43.5s
+
Saving video:   0%|          | 0/269 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 269/269 [00:00<00:00, 509.76it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000005/generated_ext1.mp4
+
Saving video:   0%|          | 0/269 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 269/269 [00:00<00:00, 657.70it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000005/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11650.2ms  total=  11.7s
+  clip_total         n=  4  mean= 43794.9ms  total= 175.2s
 
+Done in 187.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000006.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000006.log
index 9dca022370356aee94603411b9dca2c2da8730e7..4a3aaf88cdc6b134039ee8cc32a110da6e6d987d 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000006.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000006.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a walk-in dressing room with a wardrobe area, with soft white walls and slim gray trim, white-painted herringbone wood floor, and a tall mirror reflecting a row of neatly hung clothes under warm rail lighting. In the foreground, there is a soft greige-painted three-drawer dresser with polished brass knobs, and a folded silk scarf and a small jewelry tray rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=276  num_clips=4
+
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+  clip 1/4: 46.1s
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+  clip 4/4: 40.7s
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000006/generated_ext1.mp4
+
Saving video:   0%|          | 0/276 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 276/276 [00:00<00:00, 571.69it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000006/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13819.9ms  total=  13.8s
+  clip_total         n=  4  mean= 45012.0ms  total= 180.0s
 
+Done in 194.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000007.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000007.log
index a80a7facde3983e1b81af1a941431d1094407d43..1f0b0ac4b3dc0fa98d3f0ce7a3f5f322994fb634 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000007.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000007.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a quiet reading nook with a window area, with warm gray walls and a white window seat, light yellow oak plank floor, and a soft pool of lamplight beside a cushioned bench under a tall bookshelf. In the foreground, there is an olive-green painted three-drawer dresser with aged-brass knobs, and an open paperback and a steaming mug of tea sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=279  num_clips=4
+
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+  clip 1/4: 42.6s
+
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+  clip 2/4: 46.2s
+
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+  clip 3/4: 43.4s
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+  clip 4/4: 40.8s
+
Saving video:   0%|          | 0/279 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000007/generated_ext1.mp4
+
Saving video:   0%|          | 0/279 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000007/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14093.6ms  total=  14.1s
+  clip_total         n=  4  mean= 43260.8ms  total= 173.0s
 
+Done in 187.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000008.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000008.log
index e10206f5993316223c15031c343829499405594d..314dfb0933e4500652ac5ea85e6bed50950f1440 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000008.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000008.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a photography studio with a shooting area, with seamless white walls and a white sweep backdrop, light gray smooth concrete floor, and a softbox light stand glowing evenly to one side. In the foreground, there is an industrial-style three-drawer dresser with a metal frame and reclaimed-wood drawer fronts and black pipe handles, and a folded gray reflector and a small clapperboard rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=253  num_clips=4
+
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+  clip 4/4: 46.4s
+
Saving video:   0%|          | 0/253 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000008/generated_ext1.mp4
+
Saving video:   0%|          | 0/253 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000008/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11914.5ms  total=  11.9s
+  clip_total         n=  4  mean= 44681.4ms  total= 178.7s
 
+Done in 190.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000009.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000009.log
index 35e5d55d7ae7c6e06a930f9c1f6097cd7fadee0f..42d432fddddff5e1eb4231c09af0408e8e122ea1 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000009.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000009.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a coastal vacation rental kitchenette with a breakfast area, with soft white walls and horizontal shiplap on the lower half, light yellow weathered pine plank floor, and warm morning sun filtering through a sheer linen curtain on the right. In the foreground, there is a light ash three-drawer dresser with smooth recessed cut-out handles, and a small ceramic bowl of seashells and a stack of striped dish towels rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=262  num_clips=4
+
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+  clip 2/4: 46.4s
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+  clip 3/4: 46.6s
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+  clip 4/4: 44.9s
+
Saving video:   0%|          | 0/262 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000009/generated_ext1.mp4
+
Saving video:   0%|          | 0/262 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 262/262 [00:00<00:00, 527.81it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000009/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11865.7ms  total=  11.9s
+  clip_total         n=  4  mean= 44944.0ms  total= 179.8s
 
+Done in 191.9s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000010.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000010.log
index 0cce3b548c57b89ddb8d6a911f3b18adf97752b1..f8f85638bdb33bdbca875b14c582e864c64ac6ec 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000010.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000010.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a modern kitchen with a cooking area, with clean white walls, light yellow oak hardwood floor, and a row of white quartz countertops along the back wall under bright daylight. In the foreground, there is a white three-drawer dresser with slim black bar handles, and a stainless steel kettle and a small vase of fresh herbs sit on a side counter. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=265  num_clips=4
+
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+
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+  clip 4/4: 41.1s
+
Saving video:   0%|          | 0/265 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000010/generated_ext1.mp4
+
Saving video:   0%|          | 0/265 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 265/265 [00:00<00:00, 685.08it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000010/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13184.5ms  total=  13.2s
+  clip_total         n=  4  mean= 45711.6ms  total= 182.8s
 
+Done in 196.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000011.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000011.log
index bc2edf270d034118dec722fee1f4058e87cbf073..5929b4b0c14f4cd26f0f42575ba1acacd1ece414 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000011.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000011.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a farmhouse kitchen with a baking area, with warm white shiplap walls, light yellow weathered pine plank floor, and an open shelf of ceramic crockery beside a window letting in soft morning sun. In the foreground, there is a warm cream-painted three-drawer dresser with small brushed-brass knobs, and a wooden bowl of lemons and a folded gingham towel rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+  clip 3/4: 44.6s
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+  clip 4/4: 42.7s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000011/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000011/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 15995.8ms  total=  16.0s
+  clip_total         n=  4  mean= 44849.6ms  total= 179.4s
 
+Done in 195.6s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000012.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000012.log
index 3cdf22e6b410153f232eb8b890694d1777d4509d..6dcff6f7c5ac8617c64a30c8b8b5ff1ab9ccbb34 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000012.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000012.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a narrow galley kitchen with a prep area, with bright white walls and a white subway-tile backsplash, light gray vinyl plank floor, and slim under-cabinet lights glowing along both runs of cabinetry. In the foreground, there is a light oak three-drawer dresser with natural wood grain and recessed finger pulls, and a chrome utensil holder and a small potted basil plant sit nearby. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+  clip 4/4: 50.5s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000012/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000012/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13228.1ms  total=  13.2s
+  clip_total         n=  4  mean= 46298.7ms  total= 185.2s
 
+Done in 198.6s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000013.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000013.log
index 352a5cfe8427a449f62bcfc3577753d4dfc796bc..a2c456a363df161148a90ade73f85e71e75b2f19 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000013.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000013.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an industrial loft kitchen with a dining area, with white-painted brick walls, polished gray concrete floor, and a black-framed factory window flooding the room with cool afternoon light. In the foreground, there is a natural pine three-drawer dresser with round wooden knobs, and a cast-iron pan and a stack of enamel mugs are arranged on the counter. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+  clip 1/4: 42.0s
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+  clip 2/4: 47.3s
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+  clip 3/4: 47.0s
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+
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+  clip 4/4: 46.7s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000013/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000013/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14282.3ms  total=  14.3s
+  clip_total         n=  4  mean= 45719.8ms  total= 182.9s
 
+Done in 197.3s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000014.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000014.log
index 09a70205aefaf51bc5a568625281adf3f74750fe..d79265df5e33da2d244e003df5ad79bcf3098a8f 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000014.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000014.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a home office with a desk area, with warm gray walls, light yellow maple hardwood floor, and sheer curtains diffusing soft afternoon sun across the room. In the foreground, there is a honey-toned maple three-drawer dresser with brushed-nickel cup pulls, and a closed silver laptop and a small potted succulent are placed on the desk surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=256  num_clips=4
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+  clip 4/4: 42.5s
+
Saving video:   0%|          | 0/256 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 256/256 [00:00<00:00, 476.78it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000014/generated_ext1.mp4
+
Saving video:   0%|          | 0/256 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 256/256 [00:00<00:00, 472.37it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000014/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12676.3ms  total=  12.7s
+  clip_total         n=  4  mean= 46877.4ms  total= 187.5s
 
+Done in 200.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000015.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000015.log
index abe25308f2c8d5abbe29680723df156af6e1786f..ff9ba960653a160c00e9fe1617363dac8f9ea60a 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000015.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000015.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a corporate office with a workstation area, with crisp white walls and a glass partition, medium gray carpet-tile floor, and even cool light from recessed ceiling panels. In the foreground, there is a dark walnut three-drawer dresser with matte black bar pulls, and a black desk monitor and a neat tray of pens sit on the surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=268  num_clips=4
+
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+  clip 2/4: 49.2s
+
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+  clip 3/4: 45.6s
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+  clip 4/4: 41.9s
+
Saving video:   0%|          | 0/268 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000015/generated_ext1.mp4
+
Saving video:   0%|          | 0/268 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000015/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14951.2ms  total=  15.0s
+  clip_total         n=  4  mean= 45772.5ms  total= 183.1s
 
+Done in 198.2s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000016.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000016.log
index e8fdf99ffe16beb90b0f1eee78a07d36b06a0dbe..d3b56cb81f8a3e5ec7982b887d5b4aff65c79535 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000016.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000016.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an open-plan coworking space with a lounge area, with bright white walls and pale wood acoustic panels, light yellow birch plank floor, and a long row of pendant lights over a shared table. In the foreground, there is an espresso-brown three-drawer dresser with antique bronze handles, and a ceramic mug and a small stack of notebooks rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=275  num_clips=4
+
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+  clip 4/4: 46.7s
+
Saving video:   0%|          | 0/275 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000016/generated_ext1.mp4
+
Saving video:   0%|          | 0/275 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000016/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13074.8ms  total=  13.1s
+  clip_total         n=  4  mean= 44059.6ms  total= 176.2s
 
+Done in 189.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000017.log b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000017.log
index 02be9ee4aef220f13cc04d134f0157175d416ae9..d82a01730db9d5bd5344492c229c81cc24e28057 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b3_ep00000017.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b3_ep00000017.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, an office breakroom with a coffee area, with bright white walls, medium gray polished concrete floor, and overhead LED panels casting cool even light across the room. In the foreground, there is a matte black three-drawer dresser with slim leather pull tabs, and a chrome coffee machine and a neat stack of paper cups are arranged on the laminate counter. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=271  num_clips=4
+
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+  clip 1/4: 43.8s
+
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+  clip 2/4: 50.0s
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+  clip 3/4: 48.1s
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+  clip 4/4: 46.7s
+
Saving video:   0%|          | 0/271 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000017/generated_ext1.mp4
+
Saving video:   0%|          | 0/271 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b3_ep00000017/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 14363.1ms  total=  14.4s
+  clip_total         n=  4  mean= 47139.6ms  total= 188.6s
 
+Done in 203.1s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000000.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000000.log
index 8ff67f0f1b83cf2291c91e2a459d6208a7db958c..8c010ab863336e5cb6bc8deb7717038500a40357 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000000.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000000.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a modern bedroom with a sleeping area, with muted dove gray walls and white baseboards, light yellow ash hardwood floor glowing warm in late-afternoon light, and a queen bed dressed in a soft linen duvet against the far wall. In the foreground, there is a charcoal-gray three-drawer dresser with long chrome handles, and a small ceramic lamp and a folded knit blanket are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=267  num_clips=4
+
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+  clip 4/4: 40.2s
+
Saving video:   0%|          | 0/267 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000000/generated_ext1.mp4
+
Saving video:   0%|          | 0/267 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000000/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13523.7ms  total=  13.5s
+  clip_total         n=  4  mean= 45284.7ms  total= 181.1s
 
+Done in 194.8s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000001.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000001.log
index fd4dd31c53e6fbaec1e58dab88074ad2e7d0c9d7..879a794be565e838be20067bcfe9f793b9882a8f 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000001.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000001.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a children's bedroom with a play area, with soft white walls and a single pale gray accent stripe, light yellow pine plank floor, and a low bookshelf of picture books beside a round rug. In the foreground, there is a soft sage-green painted three-drawer dresser with white ceramic knobs, and a plush teddy bear and a small wooden toy box sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=301  num_clips=4
+
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+  clip 2/4: 48.4s
+
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+  clip 3/4: 45.1s
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+  clip 4/4: 40.0s
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000001/generated_ext1.mp4
+
Saving video:   0%|          | 0/301 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000001/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 20899.0ms  total=  20.9s
+  clip_total         n=  4  mean= 45541.1ms  total= 182.2s
 
+Done in 203.2s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000002.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000002.log
index bfc12d9edde847a37f66410ccf2f67bab0dae12e..19a9dd84d06c02402af6477026fceb4b36af79ae 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000002.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000002.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a guest bedroom with a reading area, with warm gray walls and white crown molding, white-painted wide-plank wood floor, and a small armchair under a window with a linen roman shade. In the foreground, there is a dusty-blue painted three-drawer dresser with brushed-brass bar pulls, and a folded quilt and a glass of water on a coaster rest on the surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=265  num_clips=4
+
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+  clip 4/4: 47.0s
+
Saving video:   0%|          | 0/265 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000002/generated_ext1.mp4
+
Saving video:   0%|          | 0/265 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000002/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12259.4ms  total=  12.3s
+  clip_total         n=  4  mean= 44875.9ms  total= 179.5s
 
+Done in 192.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000003.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000003.log
index 387c37fa590ca2f55aa3587550fd3b4acec49e0b..152962ac54f74ad481493c479ff57d1d97b50ffb 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000003.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000003.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a contemporary living room with a seating area, with light gray walls, light yellow honey-oak hardwood floor, and a low sofa with neutral cushions facing a flat console under soft lamplight. In the foreground, there is a pale gray three-drawer dresser with smooth handle-less integrated edge pulls, and a stack of coffee-table books and a small fern in a pot sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=273  num_clips=4
+
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+  clip 1/4: 39.5s
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+  clip 2/4: 46.1s
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+  clip 3/4: 47.2s
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+  clip 4/4: 46.2s
+
Saving video:   0%|          | 0/273 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000003/generated_ext1.mp4
+
Saving video:   0%|          | 0/273 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000003/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13228.2ms  total=  13.2s
+  clip_total         n=  4  mean= 44726.3ms  total= 178.9s
 
+Done in 192.4s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000004.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000004.log
index 77f07eb5c1cae0ff6a6f9f0b115ebc8d5b81e2b0..81110a85a7f2516dbf3c3de2ea1551a73877146e 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000004.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000004.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a dining room with a table area, with off-white walls and simple white wainscoting, light gray engineered-wood floor, and a slim linear pendant hanging over a wooden dining table. In the foreground, there is a mid-century teak three-drawer dresser with sculpted wooden pulls, and a ceramic fruit bowl and a folded table runner are placed on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=260  num_clips=4
+
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+  clip 1/4: 43.6s
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+  clip 3/4: 47.2s
+
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+
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+  clip 4/4: 42.6s
+
Saving video:   0%|          | 0/260 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 260/260 [00:00<00:00, 435.27it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000004/generated_ext1.mp4
+
Saving video:   0%|          | 0/260 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 260/260 [00:00<00:00, 597.99it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000004/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12592.9ms  total=  12.6s
+  clip_total         n=  4  mean= 44761.6ms  total= 179.0s
 
+Done in 191.8s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000005.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000005.log
index f4808ab025aeaba0a7f0d1ef8b69c455ad5ce35c..98d58f6a20ae0fc879d9893a6efcd147216c53cc 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000005.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000005.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a residential entryway with a foyer area, with crisp white walls, light yellow oak parquet floor in a herringbone pattern, and a round mirror catching daylight from a glass front door. In the foreground, there is a two-tone three-drawer dresser with a white frame and natural-wood drawer fronts and round black knobs, and a small dish of keys and a folded pair of gloves rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=271  num_clips=4
+
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+  clip 1/4: 48.5s
+
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+  clip 2/4: 47.4s
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+  clip 3/4: 45.4s
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+  clip 4/4: 41.7s
+
Saving video:   0%|          | 0/271 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000005/generated_ext1.mp4
+
Saving video:   0%|          | 0/271 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 271/271 [00:00<00:00, 659.71it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000005/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13568.2ms  total=  13.6s
+  clip_total         n=  4  mean= 45764.2ms  total= 183.1s
 
+Done in 196.8s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000006.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000006.log
index daf7fb7dc532ce400d8d5339a1e6c13ff8f68065..3da38fdc75d1023c58bff8b78939332886ff21be 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000006.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000006.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a bright residential hallway with a transitional area, with smooth white walls and a row of framed black-and-white prints, light gray laminate floor, and warm wash light from evenly spaced ceiling fixtures. In the foreground, there is a distressed white farmhouse three-drawer dresser with oil-rubbed bronze cup pulls, and a slim table lamp and a small woven tray sit on the surface. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=277  num_clips=4
+
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+  clip 4/4: 42.2s
+
Saving video:   0%|          | 0/277 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 277/277 [00:00<00:00, 535.86it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000006/generated_ext1.mp4
+
Saving video:   0%|          | 0/277 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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Saving video: 100%|██████████| 277/277 [00:00<00:00, 630.46it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000006/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 12590.4ms  total=  12.6s
+  clip_total         n=  4  mean= 42048.2ms  total= 168.2s
 
+Done in 181.0s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000007.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000007.log
index 1a9c561901573200b9ee719445a8b9b57922cc2f..fe606dcb7bc5e4a9496ee326c52697ebf5b8d42b 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000007.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000007.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a boutique retail shop with a display area, with matte white walls and a single horizontal black accent line at picture height, medium gray polished concrete floor, and warm spotlights from an exposed ceiling track. In the foreground, there is a glossy white three-drawer dresser with polished gold handles, and a folded cashmere sweater and a small leather price tag rest on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=269  num_clips=4
+
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+  clip 1/4: 40.8s
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+
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+  clip 4/4: 40.8s
+
Saving video:   0%|          | 0/269 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000007/generated_ext1.mp4
+
Saving video:   0%|          | 0/269 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000007/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 13054.2ms  total=  13.1s
+  clip_total         n=  4  mean= 41804.1ms  total= 167.2s
 
+Done in 180.5s
diff --git a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000008.log b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000008.log
index 8b1e9c2ee58616c64e41c90e9bd5b255e044934f..80f245081733bab67f6037858ddb9efb0d786fcb 100644
--- a/3drawers/gen_flex/chunk_001/_logs/b4_ep00000008.log
+++ b/3drawers/gen_flex/chunk_001/_logs/b4_ep00000008.log
@@ -1,9 +1,3 @@
-/svl/u/ravenh/miniconda3/envs/mlspaces/lib/python3.11/site-packages/torch/cuda/__init__.py:287: UserWarning: 
-NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA capability sm_120 is not compatible with the current PyTorch installation.
-The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
-If you want to use the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
-
-  warnings.warn(
 Views: ['ext1', 'wrist']
 Prompt: This video shows in the background, a boutique hotel room with a lounge area, with crisp white walls and slim brass picture rails, bleached white oak plank floor, and a single arc floor lamp curving over a side table. In the foreground, there is a light gray-washed oak three-drawer dresser with slim black handles, and a folded linen throw and a small porcelain ring tray sit on top. The robot is instructed to open the top drawer of the dresser.
 TeaCache thresh: 0.1
@@ -40,34 +34,76 @@ Loaded model: {
 }
 Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth"
 Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
-Traceback (most recent call last):
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 154, in <module>
-    main()
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/sim2realgen/inference_long_video_fast.py", line 90, in main
-    pipe = WanVideoPipeline.from_pretrained(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/pipelines/wan_video.py", line 134, in from_pretrained
-    model_pool = pipe.download_and_load_models(model_configs, vram_limit)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/diffusion/base_pipeline.py", line 293, in download_and_load_models
-    model_pool.auto_load_model(
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 70, in auto_load_model
-    model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/models/model_loader.py", line 40, in load_model_file
-    model = load_model(
-            ^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/loader/model.py", line 46, in load_model
-    state_dict = state_dict_converter(state_dict)
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/utils/state_dict_converters/wan_video_vae.py", line 6, in WanVideoVAEStateDictConverter
-    state_dict_['model.' + name] = state_dict[name]
-                                   ~~~~~~~~~~^^^^^^
-  File "/svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/diffsynth/core/vram/disk_map.py", line 64, in __getitem__
-    param = param.to(self.torch_dtype)
-            ^^^^^^^^^^^^^^^^^^^^^^^^^^
-RuntimeError: CUDA error: no kernel image is available for execution on the device
-CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
-For debugging consider passing CUDA_LAUNCH_BLOCKING=1
-Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+Loaded model: {
+    "model_name": "wan_video_vae",
+    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
+    "extra_kwargs": null
+}
+Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.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_image_encoder",
+    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
+    "extra_kwargs": null
+}
+Using wan_video_text_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_t5_umt5-xxl-enc-bf16.pth".
+Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
+Using wan_video_vae from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/Wan2.1_VAE.pth".
+Using wan_video_image_encoder from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth".
+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.
+Loading LoRA from: /svl/u/ravenh/renderscale/Sim2RealGen_Video_Model/lora_ckpts/Wan2.1-Fun-V1.1-1.3B-Mixed-DROID-AGIBOT-3View-DualControl-PrevFrame-droidnew_continue_lora/step-5294.safetensors
+300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
+Setting up multi-view pipeline...
+
+===== source: video0 =====
+  total_frames=264  num_clips=4
+
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+  clip 1/4: 40.5s
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+  clip 2/4: 42.4s
+
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+  clip 3/4: 41.2s
+
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+
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+  clip 4/4: 37.5s
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
Saving video:   0%|          | 1/264 [00:00<00:54,  4.83it/s]
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+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000008/generated_ext1.mp4
+
Saving video:   0%|          | 0/264 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+
Saving video:   0%|          | 1/264 [00:00<00:48,  5.43it/s]
Saving video:  36%|███▌      | 94/264 [00:00<00:00, 399.92it/s]
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Saving video: 100%|██████████| 264/264 [00:00<00:00, 529.95it/s]
+  saved /scr/ravenh/3drawers_flex_w1/_workdir_gen/chunk_001/_inf_tmp/b4_ep00000008/generated_wrist.mp4
+
+=== timings ===
+  load_source        n=  1  mean= 11822.8ms  total=  11.8s
+  clip_total         n=  4  mean= 40415.8ms  total= 161.7s
 
+Done in 173.6s
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