WARNING 02-08 03:03:20 [envs.py:235] Flash Attention library "flash_attn" not found, using pytorch attention implementation
================================================================================
CONFIGURATION PARAMETERS:
================================================================================
  cfg_scale_text              : 5.0
  data_root                   : data_inference/wan_i2v/
  dit_root                    : ./weights/Wan2.1-I2V-14B-480P/
  extra_module_root           : weights/Stable-Video-Infinity/version-1.0/svi-shot.safetensors
  lora_alpha                  : 1.0
  max_prompts_per_sample      : None
  max_width                   : 832
  num_clips                   : 10
  num_motion_frames           : 1
  num_persistent_param_in_dit : 6000000000
  num_steps                   : 50
  output                      : videos/svi_shot/
  prompt_path                 : /mnt/vita/scratch/vita-students/users/wuli/code/DigitalHuman/VBench/20260207_test/sample1/prompt.txt
  prompt_prefix               : none
  prompt_repeat_times         : 1
  ref_image_path              : /mnt/vita/scratch/vita-students/users/wuli/code/DigitalHuman/VBench/20260207_test/sample1/train_000001.jpg
  ref_pad_cfg                 : False
  ref_pad_num                 : -1
  repeat_first_clip           : False
  seed_times                  : 42
  test_samples                : None
  tile_size                   : [30, 52]
  tile_stride                 : [15, 26]
  tiled                       : False
  train_architecture          : lora
  use_first_aug               : False
  use_first_prompt_only       : True
================================================================================
Total number of cfg parameters: 27
================================================================================
Using direct paths for reference image and prompt file
Reference image: /mnt/vita/scratch/vita-students/users/wuli/code/DigitalHuman/VBench/20260207_test/sample1/train_000001.jpg
Prompt file: /mnt/vita/scratch/vita-students/users/wuli/code/DigitalHuman/VBench/20260207_test/sample1/prompt.txt
Generated 1 test scenario with 1 prompts
Loading models from: ./weights/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
    model_name: wan_video_image_encoder model_class: WanImageEncoder
    The following models are loaded: ['wan_video_image_encoder'].
Loading models from: ['./weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00001-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00002-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00003-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00004-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00005-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00006-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00007-of-00007.safetensors']
    model_name: wan_video_dit model_class: WanModel
        This model is initialized with extra kwargs: {'has_image_input': True, 'patch_size': [1, 2, 2], 'in_dim': 36, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'eps': 1e-06}
    The following models are loaded: ['wan_video_dit'].
Loading models from: ./weights/Wan2.1-I2V-14B-480P/models_t5_umt5-xxl-enc-bf16.pth
    model_name: wan_video_text_encoder model_class: WanTextEncoder
    The following models are loaded: ['wan_video_text_encoder'].
Loading models from: ./weights/Wan2.1-I2V-14B-480P/Wan2.1_VAE.pth
    model_name: wan_video_vae model_class: WanVideoVAE
    The following models are loaded: ['wan_video_vae'].
Loading LoRA models from file: weights/Stable-Video-Infinity/version-1.0/svi-shot.safetensors
    Adding LoRA to wan_video_dit (['./weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00001-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00002-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00003-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00004-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00005-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00006-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00007-of-00007.safetensors']).
    400 tensors are updated.
Using wan_video_text_encoder from ./weights/Wan2.1-I2V-14B-480P/models_t5_umt5-xxl-enc-bf16.pth.
Using wan_video_dit from ['./weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00001-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00002-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00003-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00004-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00005-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00006-of-00007.safetensors', './weights/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00007-of-00007.safetensors'].
Using wan_video_vae from ./weights/Wan2.1-I2V-14B-480P/Wan2.1_VAE.pth.
Using wan_video_image_encoder from ./weights/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth.

####################################################################################################
STARTING SAMPLE 1/1: train_000001
####################################################################################################
Reference image: /mnt/vita/scratch/vita-students/users/wuli/code/DigitalHuman/VBench/20260207_test/sample1/train_000001.jpg
Available prompts: 1
Video dimensions: 832x528

Processing train_000001 with 1 prompts
Generating 10 clips using the first prompt repeatedly
Created output directory for sample: videos/svi_shot/train_000001_20260208_030504

================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 1/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 1/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_01_of_10.mp4

Saving video:   0%|          | 0/80 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 2/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 2/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_02_of_10.mp4

Saving video:   0%|          | 0/160 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 3/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 3/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_03_of_10.mp4

Saving video:   0%|          | 0/240 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 4/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 4/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_04_of_10.mp4

Saving video:   0%|          | 0/320 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 5/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 5/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_05_of_10.mp4

Saving video:   0%|          | 0/400 [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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Chunk 5/10 saved successfully!

================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 6/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 6/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_06_of_10.mp4

Saving video:   0%|          | 0/480 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 7/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 7/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_07_of_10.mp4

Saving video:   0%|          | 0/560 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 8/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 8/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_08_of_10.mp4

Saving video:   0%|          | 0/640 [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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Chunk 8/10 saved successfully!

================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 9/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 9/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_09_of_10.mp4

Saving video:   0%|          | 0/720 [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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================================================================================
PROCESSING SAMPLE: train_000001
CHUNK: 10/10
PROMPT: An Amtrak train, numbered 146, travels along a set of tracks under a clear blue sky with scattered clouds, surrounded by a forested landscape.
NOTE: Using first prompt only (use_first_prompt_only=True)
================================================================================
Starting video generation...

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Video generation completed!
Saving chunk 10/10: videos/svi_shot/train_000001_20260208_030504/i2v_train_000001_natural_cfgt5.0_step50_20260208_030504_chunk_10_of_10.mp4

Saving video:   0%|          | 0/801 [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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Chunk 10/10 saved successfully!

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COMPLETED SAMPLE 1/1: train_000001
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Completed processing all 1 scenarios!