test_20260208/svi_shot.txt

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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:09<07:33,  9.26s/it]
  4%|▍         | 2/50 [00:17<06:49,  8.54s/it]
  6%|▌         | 3/50 [00:25<06:30,  8.30s/it]
  8%|▊         | 4/50 [00:33<06:16,  8.19s/it]
 10%|█         | 5/50 [00:41<06:06,  8.13s/it]
 12%|█▏        | 6/50 [00:49<05:56,  8.11s/it]
 14%|█▍        | 7/50 [00:57<05:48,  8.10s/it]
 16%|█▌        | 8/50 [01:05<05:39,  8.10s/it]
 18%|█▊        | 9/50 [01:13<05:31,  8.09s/it]
 20%|██        | 10/50 [01:21<05:23,  8.10s/it]
 22%|██▏       | 11/50 [01:29<05:15,  8.10s/it]
 24%|██▍       | 12/50 [01:38<05:08,  8.11s/it]
 26%|██▌       | 13/50 [01:46<05:00,  8.11s/it]
 28%|██▊       | 14/50 [01:54<04:52,  8.11s/it]
 30%|███       | 15/50 [02:02<04:44,  8.12s/it]
 32%|███▏      | 16/50 [02:10<04:36,  8.12s/it]
 34%|███▍      | 17/50 [02:18<04:27,  8.12s/it]
 36%|███▌      | 18/50 [02:26<04:19,  8.12s/it]
 38%|███▊      | 19/50 [02:34<04:11,  8.12s/it]
 40%|████      | 20/50 [02:43<04:03,  8.13s/it]
 42%|████▏     | 21/50 [02:51<03:55,  8.13s/it]
 44%|████▍     | 22/50 [02:59<03:47,  8.13s/it]
 46%|████▌     | 23/50 [03:07<03:39,  8.13s/it]
 48%|████▊     | 24/50 [03:15<03:31,  8.13s/it]
 50%|█████     | 25/50 [03:23<03:23,  8.13s/it]
 52%|█████▏    | 26/50 [03:31<03:15,  8.13s/it]
 54%|█████▍    | 27/50 [03:39<03:06,  8.12s/it]
 56%|█████▌    | 28/50 [03:47<02:58,  8.11s/it]
 58%|█████▊    | 29/50 [03:56<02:50,  8.10s/it]
 60%|██████    | 30/50 [04:04<02:42,  8.11s/it]
 62%|██████▏   | 31/50 [04:12<02:34,  8.11s/it]
 64%|██████▍   | 32/50 [04:20<02:25,  8.11s/it]
 66%|██████▌   | 33/50 [04:28<02:17,  8.12s/it]
 68%|██████▊   | 34/50 [04:36<02:09,  8.12s/it]
 70%|███████   | 35/50 [04:44<02:01,  8.12s/it]
 72%|███████▏  | 36/50 [04:52<01:53,  8.12s/it]
 74%|███████▍  | 37/50 [05:01<01:45,  8.13s/it]
 76%|███████▌  | 38/50 [05:09<01:37,  8.13s/it]
 78%|███████▊  | 39/50 [05:17<01:29,  8.13s/it]
 80%|████████  | 40/50 [05:25<01:21,  8.13s/it]
 82%|████████▏ | 41/50 [05:33<01:13,  8.13s/it]
 84%|████████▍ | 42/50 [05:41<01:05,  8.13s/it]
 86%|████████▌ | 43/50 [05:49<00:56,  8.14s/it]
 88%|████████▊ | 44/50 [05:58<00:48,  8.14s/it]
 90%|█████████ | 45/50 [06:06<00:40,  8.14s/it]
 92%|█████████▏| 46/50 [06:14<00:32,  8.14s/it]
 94%|█████████▍| 47/50 [06:22<00:24,  8.13s/it]
 96%|█████████▌| 48/50 [06:30<00:16,  8.13s/it]
 98%|█████████▊| 49/50 [06:38<00:08,  8.13s/it]
100%|██████████| 50/50 [06:46<00:00,  8.13s/it]
100%|██████████| 50/50 [06:46<00:00,  8.14s/it]
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)

Saving video:   1%|▏         | 1/80 [00:00<01:10,  1.13it/s]
Saving video:  92%|█████████▎| 74/80 [00:00<00:00, 102.08it/s]
Saving video: 100%|██████████| 80/80 [00:00<00:00, 80.30it/s] 
Chunk 1/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:37,  8.10s/it]
  4%|▍         | 2/50 [00:16<06:28,  8.10s/it]
  6%|▌         | 3/50 [00:24<06:21,  8.11s/it]
  8%|▊         | 4/50 [00:32<06:12,  8.11s/it]
 10%|█         | 5/50 [00:40<06:05,  8.11s/it]
 12%|█▏        | 6/50 [00:48<05:57,  8.12s/it]
 14%|█▍        | 7/50 [00:56<05:49,  8.12s/it]
 16%|█▌        | 8/50 [01:04<05:41,  8.12s/it]
 18%|█▊        | 9/50 [01:13<05:33,  8.13s/it]
 20%|██        | 10/50 [01:21<05:25,  8.14s/it]
 22%|██▏       | 11/50 [01:29<05:17,  8.14s/it]
 24%|██▍       | 12/50 [01:37<05:09,  8.14s/it]
 26%|██▌       | 13/50 [01:45<05:01,  8.15s/it]
 28%|██▊       | 14/50 [01:53<04:53,  8.15s/it]
 30%|███       | 15/50 [02:01<04:45,  8.15s/it]
 32%|███▏      | 16/50 [02:10<04:36,  8.14s/it]
 34%|███▍      | 17/50 [02:18<04:28,  8.15s/it]
 36%|███▌      | 18/50 [02:26<04:20,  8.15s/it]
 38%|███▊      | 19/50 [02:34<04:12,  8.15s/it]
 40%|████      | 20/50 [02:42<04:04,  8.15s/it]
 42%|████▏     | 21/50 [02:50<03:56,  8.15s/it]
 44%|████▍     | 22/50 [02:59<03:48,  8.15s/it]
 46%|████▌     | 23/50 [03:07<03:39,  8.14s/it]
 48%|████▊     | 24/50 [03:15<03:31,  8.14s/it]
 50%|█████     | 25/50 [03:23<03:23,  8.13s/it]
 52%|█████▏    | 26/50 [03:31<03:14,  8.12s/it]
 54%|█████▍    | 27/50 [03:39<03:06,  8.11s/it]
 56%|█████▌    | 28/50 [03:47<02:58,  8.11s/it]
 58%|█████▊    | 29/50 [03:55<02:50,  8.11s/it]
 60%|██████    | 30/50 [04:03<02:42,  8.11s/it]
 62%|██████▏   | 31/50 [04:12<02:34,  8.12s/it]
 64%|██████▍   | 32/50 [04:20<02:26,  8.12s/it]
 66%|██████▌   | 33/50 [04:28<02:18,  8.12s/it]
 68%|██████▊   | 34/50 [04:36<02:10,  8.13s/it]
 70%|███████   | 35/50 [04:44<02:01,  8.13s/it]
 72%|███████▏  | 36/50 [04:52<01:53,  8.13s/it]
 74%|███████▍  | 37/50 [05:00<01:45,  8.13s/it]
 76%|███████▌  | 38/50 [05:08<01:37,  8.14s/it]
 78%|███████▊  | 39/50 [05:17<01:29,  8.13s/it]
 80%|████████  | 40/50 [05:25<01:21,  8.13s/it]
 82%|████████▏ | 41/50 [05:33<01:13,  8.13s/it]
 84%|████████▍ | 42/50 [05:41<01:05,  8.14s/it]
 86%|████████▌ | 43/50 [05:49<00:56,  8.14s/it]
 88%|████████▊ | 44/50 [05:57<00:48,  8.14s/it]
 90%|█████████ | 45/50 [06:05<00:40,  8.14s/it]
 92%|█████████▏| 46/50 [06:14<00:32,  8.14s/it]
 94%|█████████▍| 47/50 [06:22<00:24,  8.14s/it]
 96%|█████████▌| 48/50 [06:30<00:16,  8.13s/it]
 98%|█████████▊| 49/50 [06:38<00:08,  8.13s/it]
100%|██████████| 50/50 [06:46<00:00,  8.12s/it]
100%|██████████| 50/50 [06:46<00:00,  8.13s/it]
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)

Saving video:   1%|          | 1/160 [00:00<02:23,  1.11it/s]
Saving video:  35%|███▌      | 56/160 [00:01<00:01, 75.98it/s]
Saving video:  63%|██████▎   | 101/160 [00:01<00:00, 136.56it/s]
Saving video:  87%|████████▋ | 139/160 [00:01<00:00, 177.75it/s]
Saving video: 100%|██████████| 160/160 [00:01<00:00, 123.82it/s]
Chunk 2/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:35,  8.07s/it]
  4%|▍         | 2/50 [00:16<06:27,  8.08s/it]
  6%|▌         | 3/50 [00:24<06:19,  8.08s/it]
  8%|▊         | 4/50 [00:32<06:12,  8.09s/it]
 10%|█         | 5/50 [00:40<06:04,  8.10s/it]
 12%|█▏        | 6/50 [00:48<05:56,  8.11s/it]
 14%|█▍        | 7/50 [00:56<05:49,  8.12s/it]
 16%|█▌        | 8/50 [01:04<05:41,  8.12s/it]
 18%|█▊        | 9/50 [01:12<05:33,  8.12s/it]
 20%|██        | 10/50 [01:21<05:25,  8.13s/it]
 22%|██▏       | 11/50 [01:29<05:17,  8.13s/it]
 24%|██▍       | 12/50 [01:37<05:09,  8.14s/it]
 26%|██▌       | 13/50 [01:45<05:01,  8.15s/it]
 28%|██▊       | 14/50 [01:53<04:53,  8.15s/it]
 30%|███       | 15/50 [02:01<04:45,  8.15s/it]
 32%|███▏      | 16/50 [02:10<04:37,  8.15s/it]
 34%|███▍      | 17/50 [02:18<04:28,  8.15s/it]
 36%|███▌      | 18/50 [02:26<04:20,  8.15s/it]
 38%|███▊      | 19/50 [02:34<04:12,  8.16s/it]
 40%|████      | 20/50 [02:42<04:04,  8.16s/it]
 42%|████▏     | 21/50 [02:50<03:56,  8.15s/it]
 44%|████▍     | 22/50 [02:58<03:48,  8.15s/it]
 46%|████▌     | 23/50 [03:07<03:39,  8.14s/it]
 48%|████▊     | 24/50 [03:15<03:31,  8.14s/it]
 50%|█████     | 25/50 [03:23<03:23,  8.13s/it]
 52%|█████▏    | 26/50 [03:31<03:15,  8.13s/it]
 54%|█████▍    | 27/50 [03:39<03:06,  8.13s/it]
 56%|█████▌    | 28/50 [03:47<02:58,  8.13s/it]
 58%|█████▊    | 29/50 [03:55<02:50,  8.13s/it]
 60%|██████    | 30/50 [04:03<02:42,  8.13s/it]
 62%|██████▏   | 31/50 [04:12<02:34,  8.13s/it]
 64%|██████▍   | 32/50 [04:20<02:26,  8.13s/it]
 66%|██████▌   | 33/50 [04:28<02:18,  8.14s/it]
 68%|██████▊   | 34/50 [04:36<02:10,  8.14s/it]
 70%|███████   | 35/50 [04:44<02:02,  8.14s/it]
 72%|███████▏  | 36/50 [04:52<01:54,  8.14s/it]
 74%|███████▍  | 37/50 [05:00<01:45,  8.15s/it]
 76%|███████▌  | 38/50 [05:09<01:37,  8.15s/it]
 78%|███████▊  | 39/50 [05:17<01:29,  8.15s/it]
 80%|████████  | 40/50 [05:25<01:21,  8.15s/it]
 82%|████████▏ | 41/50 [05:33<01:13,  8.15s/it]
 84%|████████▍ | 42/50 [05:41<01:05,  8.15s/it]
 86%|████████▌ | 43/50 [05:49<00:57,  8.15s/it]
 88%|████████▊ | 44/50 [05:58<00:48,  8.16s/it]
 90%|█████████ | 45/50 [06:06<00:40,  8.15s/it]
 92%|█████████▏| 46/50 [06:14<00:32,  8.15s/it]
 94%|█████████▍| 47/50 [06:22<00:24,  8.15s/it]
 96%|█████████▌| 48/50 [06:30<00:16,  8.14s/it]
 98%|█████████▊| 49/50 [06:38<00:08,  8.13s/it]
100%|██████████| 50/50 [06:46<00:00,  8.11s/it]
100%|██████████| 50/50 [06:46<00:00,  8.14s/it]
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)

Saving video:   0%|          | 1/240 [00:00<03:39,  1.09it/s]
Saving video:  23%|██▎       | 55/240 [00:01<00:02, 73.49it/s]
Saving video:  42%|████▏     | 101/240 [00:01<00:01, 135.31it/s]
Saving video:  58%|█████▊    | 139/240 [00:01<00:00, 179.75it/s]
Saving video:  74%|███████▍  | 177/240 [00:01<00:00, 207.28it/s]
Saving video:  88%|████████▊ | 212/240 [00:01<00:00, 232.47it/s]
Saving video: 100%|██████████| 240/240 [00:01<00:00, 153.30it/s]
Chunk 3/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:36,  8.08s/it]
  4%|▍         | 2/50 [00:16<06:28,  8.09s/it]
  6%|▌         | 3/50 [00:24<06:19,  8.08s/it]
  8%|▊         | 4/50 [00:32<06:11,  8.09s/it]
 10%|█         | 5/50 [00:40<06:04,  8.10s/it]
 12%|█▏        | 6/50 [00:48<05:56,  8.11s/it]
 14%|█▍        | 7/50 [00:56<05:48,  8.11s/it]
 16%|█▌        | 8/50 [01:04<05:41,  8.12s/it]
 18%|█▊        | 9/50 [01:12<05:33,  8.13s/it]
 20%|██        | 10/50 [01:21<05:25,  8.13s/it]
 22%|██▏       | 11/50 [01:29<05:17,  8.14s/it]
 24%|██▍       | 12/50 [01:37<05:09,  8.14s/it]
 26%|██▌       | 13/50 [01:45<05:01,  8.14s/it]
 28%|██▊       | 14/50 [01:53<04:53,  8.14s/it]
 30%|███       | 15/50 [02:01<04:45,  8.15s/it]
 32%|███▏      | 16/50 [02:10<04:37,  8.15s/it]
 34%|███▍      | 17/50 [02:18<04:28,  8.15s/it]
 36%|███▌      | 18/50 [02:26<04:20,  8.15s/it]
 38%|███▊      | 19/50 [02:34<04:12,  8.15s/it]
 40%|████      | 20/50 [02:42<04:04,  8.15s/it]
 42%|████▏     | 21/50 [02:50<03:56,  8.14s/it]
 44%|████▍     | 22/50 [02:58<03:47,  8.13s/it]
 46%|████▌     | 23/50 [03:06<03:39,  8.12s/it]
 48%|████▊     | 24/50 [03:15<03:30,  8.11s/it]
 50%|█████     | 25/50 [03:23<03:22,  8.11s/it]
 52%|█████▏    | 26/50 [03:31<03:14,  8.11s/it]
 54%|█████▍    | 27/50 [03:39<03:06,  8.12s/it]
 56%|█████▌    | 28/50 [03:47<02:58,  8.12s/it]
 58%|█████▊    | 29/50 [03:55<02:50,  8.12s/it]
 60%|██████    | 30/50 [04:03<02:42,  8.13s/it]
 62%|██████▏   | 31/50 [04:11<02:34,  8.13s/it]
 64%|██████▍   | 32/50 [04:20<02:26,  8.14s/it]
 66%|██████▌   | 33/50 [04:28<02:18,  8.14s/it]
 68%|██████▊   | 34/50 [04:36<02:10,  8.14s/it]
 70%|███████   | 35/50 [04:44<02:02,  8.14s/it]
 72%|███████▏  | 36/50 [04:52<01:54,  8.14s/it]
 74%|███████▍  | 37/50 [05:00<01:45,  8.14s/it]
 76%|███████▌  | 38/50 [05:08<01:37,  8.15s/it]
 78%|███████▊  | 39/50 [05:17<01:29,  8.15s/it]
 80%|████████  | 40/50 [05:25<01:21,  8.15s/it]
 82%|████████▏ | 41/50 [05:33<01:13,  8.15s/it]
 84%|████████▍ | 42/50 [05:41<01:05,  8.15s/it]
 86%|████████▌ | 43/50 [05:49<00:57,  8.14s/it]
 88%|████████▊ | 44/50 [05:57<00:48,  8.14s/it]
 90%|█████████ | 45/50 [06:05<00:40,  8.14s/it]
 92%|█████████▏| 46/50 [06:14<00:32,  8.14s/it]
 94%|█████████▍| 47/50 [06:22<00:24,  8.13s/it]
 96%|█████████▌| 48/50 [06:30<00:16,  8.12s/it]
 98%|█████████▊| 49/50 [06:38<00:08,  8.11s/it]
100%|██████████| 50/50 [06:46<00:00,  8.10s/it]
100%|██████████| 50/50 [06:46<00:00,  8.13s/it]
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)

Saving video:   0%|          | 1/320 [00:00<04:23,  1.21it/s]
Saving video:  17%|█▋        | 55/320 [00:00<00:03, 80.63it/s]
Saving video:  31%|███       | 98/320 [00:01<00:01, 141.34it/s]
Saving video:  42%|████▏     | 135/320 [00:01<00:01, 180.04it/s]
Saving video:  53%|█████▎    | 170/320 [00:01<00:00, 203.06it/s]
Saving video:  63%|██████▎   | 202/320 [00:01<00:00, 227.52it/s]
Saving video:  73%|███████▎  | 234/320 [00:01<00:00, 245.29it/s]
Saving video:  83%|████████▎ | 265/320 [00:01<00:00, 253.43it/s]
Saving video:  95%|█████████▍| 303/320 [00:01<00:00, 285.81it/s]
Saving video: 100%|██████████| 320/320 [00:01<00:00, 183.35it/s]
Chunk 4/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:36,  8.09s/it]
  4%|▍         | 2/50 [00:16<06:27,  8.08s/it]
  6%|▌         | 3/50 [00:24<06:20,  8.10s/it]
  8%|▊         | 4/50 [00:32<06:12,  8.11s/it]
 10%|█         | 5/50 [00:40<06:04,  8.11s/it]
 12%|█▏        | 6/50 [00:48<05:57,  8.11s/it]
 14%|█▍        | 7/50 [00:56<05:49,  8.12s/it]
 16%|█▌        | 8/50 [01:04<05:41,  8.13s/it]
 18%|█▊        | 9/50 [01:13<05:33,  8.13s/it]
 20%|██        | 10/50 [01:21<05:25,  8.13s/it]
 22%|██▏       | 11/50 [01:29<05:17,  8.14s/it]
 24%|██▍       | 12/50 [01:37<05:09,  8.14s/it]
 26%|██▌       | 13/50 [01:45<05:01,  8.14s/it]
 28%|██▊       | 14/50 [01:53<04:53,  8.14s/it]
 30%|███       | 15/50 [02:01<04:45,  8.15s/it]
 32%|███▏      | 16/50 [02:10<04:36,  8.15s/it]
 34%|███▍      | 17/50 [02:18<04:28,  8.15s/it]
 36%|███▌      | 18/50 [02:26<04:20,  8.15s/it]
 38%|███▊      | 19/50 [02:34<04:12,  8.15s/it]
 40%|████      | 20/50 [02:42<04:04,  8.15s/it]
 42%|████▏     | 21/50 [02:50<03:55,  8.14s/it]
 44%|████▍     | 22/50 [02:58<03:47,  8.13s/it]
 46%|████▌     | 23/50 [03:06<03:39,  8.12s/it]
 48%|████▊     | 24/50 [03:15<03:30,  8.11s/it]
 50%|█████     | 25/50 [03:23<03:22,  8.11s/it]
 52%|█████▏    | 26/50 [03:31<03:14,  8.12s/it]
 54%|█████▍    | 27/50 [03:39<03:06,  8.12s/it]
 56%|█████▌    | 28/50 [03:47<02:58,  8.12s/it]
 58%|█████▊    | 29/50 [03:55<02:50,  8.12s/it]
 60%|██████    | 30/50 [04:03<02:42,  8.12s/it]
 62%|██████▏   | 31/50 [04:11<02:34,  8.13s/it]
 64%|██████▍   | 32/50 [04:20<02:26,  8.13s/it]
 66%|██████▌   | 33/50 [04:28<02:18,  8.13s/it]
 68%|██████▊   | 34/50 [04:36<02:10,  8.14s/it]
 70%|███████   | 35/50 [04:44<02:02,  8.14s/it]
 72%|███████▏  | 36/50 [04:52<01:53,  8.14s/it]
 74%|███████▍  | 37/50 [05:00<01:45,  8.14s/it]
 76%|███████▌  | 38/50 [05:08<01:37,  8.14s/it]
 78%|███████▊  | 39/50 [05:17<01:29,  8.14s/it]
 80%|████████  | 40/50 [05:25<01:21,  8.14s/it]
 82%|████████▏ | 41/50 [05:33<01:13,  8.14s/it]
 84%|████████▍ | 42/50 [05:41<01:05,  8.14s/it]
 86%|████████▌ | 43/50 [05:49<00:56,  8.14s/it]
 88%|████████▊ | 44/50 [05:57<00:48,  8.14s/it]
 90%|█████████ | 45/50 [06:05<00:40,  8.14s/it]
 92%|█████████▏| 46/50 [06:14<00:32,  8.14s/it]
 94%|█████████▍| 47/50 [06:22<00:24,  8.13s/it]
 96%|█████████▌| 48/50 [06:30<00:16,  8.11s/it]
 98%|█████████▊| 49/50 [06:38<00:08,  8.10s/it]
100%|██████████| 50/50 [06:46<00:00,  8.09s/it]
100%|██████████| 50/50 [06:46<00:00,  8.13s/it]
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)

Saving video:   0%|          | 1/400 [00:00<05:52,  1.13it/s]
Saving video:  15%|█▍        | 59/400 [00:00<00:04, 81.49it/s]
Saving video:  26%|██▌       | 103/400 [00:01<00:02, 140.58it/s]
Saving video:  36%|███▌      | 142/400 [00:01<00:01, 183.48it/s]
Saving video:  45%|████▍     | 179/400 [00:01<00:01, 212.44it/s]
Saving video:  54%|█████▎    | 214/400 [00:01<00:00, 235.26it/s]
Saving video:  62%|██████▏   | 247/400 [00:01<00:00, 250.46it/s]
Saving video:  70%|██████▉   | 279/400 [00:01<00:00, 259.57it/s]
Saving video:  79%|███████▉  | 316/400 [00:01<00:00, 287.28it/s]
Saving video:  87%|████████▋ | 349/400 [00:01<00:00, 288.49it/s]
Saving video:  96%|█████████▌| 384/400 [00:01<00:00, 304.71it/s]
Saving video: 100%|██████████| 400/400 [00:02<00:00, 197.76it/s]
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:33,  8.02s/it]
  4%|▍         | 2/50 [00:16<06:25,  8.02s/it]
  6%|▌         | 3/50 [00:24<06:17,  8.03s/it]
  8%|▊         | 4/50 [00:32<06:09,  8.04s/it]
 10%|█         | 5/50 [00:40<06:01,  8.04s/it]
 12%|█▏        | 6/50 [00:48<05:53,  8.04s/it]
 14%|█▍        | 7/50 [00:56<05:45,  8.04s/it]
 16%|█▌        | 8/50 [01:04<05:37,  8.03s/it]
 18%|█▊        | 9/50 [01:12<05:29,  8.03s/it]
 20%|██        | 10/50 [01:20<05:21,  8.03s/it]
 22%|██▏       | 11/50 [01:28<05:13,  8.03s/it]
 24%|██▍       | 12/50 [01:36<05:05,  8.03s/it]
 26%|██▌       | 13/50 [01:44<04:57,  8.04s/it]
 28%|██▊       | 14/50 [01:52<04:49,  8.04s/it]
 30%|███       | 15/50 [02:00<04:41,  8.03s/it]
 32%|███▏      | 16/50 [02:08<04:33,  8.03s/it]
 34%|███▍      | 17/50 [02:16<04:24,  8.03s/it]
 36%|███▌      | 18/50 [02:24<04:16,  8.03s/it]
 38%|███▊      | 19/50 [02:32<04:08,  8.02s/it]
 40%|████      | 20/50 [02:40<04:00,  8.02s/it]
 42%|████▏     | 21/50 [02:48<03:52,  8.02s/it]
 44%|████▍     | 22/50 [02:56<03:44,  8.02s/it]
 46%|████▌     | 23/50 [03:04<03:36,  8.02s/it]
 48%|████▊     | 24/50 [03:12<03:28,  8.02s/it]
 50%|█████     | 25/50 [03:20<03:20,  8.02s/it]
 52%|█████▏    | 26/50 [03:28<03:12,  8.01s/it]
 54%|█████▍    | 27/50 [03:36<03:04,  8.01s/it]
 56%|█████▌    | 28/50 [03:44<02:56,  8.01s/it]
 58%|█████▊    | 29/50 [03:52<02:48,  8.00s/it]
 60%|██████    | 30/50 [04:00<02:40,  8.01s/it]
 62%|██████▏   | 31/50 [04:08<02:32,  8.01s/it]
 64%|██████▍   | 32/50 [04:16<02:24,  8.02s/it]
 66%|██████▌   | 33/50 [04:24<02:16,  8.02s/it]
 68%|██████▊   | 34/50 [04:32<02:08,  8.02s/it]
 70%|███████   | 35/50 [04:40<02:00,  8.02s/it]
 72%|███████▏  | 36/50 [04:48<01:52,  8.03s/it]
 74%|███████▍  | 37/50 [04:56<01:44,  8.03s/it]
 76%|███████▌  | 38/50 [05:04<01:36,  8.03s/it]
 78%|███████▊  | 39/50 [05:12<01:28,  8.04s/it]
 80%|████████  | 40/50 [05:21<01:20,  8.03s/it]
 82%|████████▏ | 41/50 [05:29<01:12,  8.03s/it]
 84%|████████▍ | 42/50 [05:37<01:04,  8.03s/it]
 86%|████████▌ | 43/50 [05:45<00:56,  8.02s/it]
 88%|████████▊ | 44/50 [05:53<00:48,  8.02s/it]
 90%|█████████ | 45/50 [06:01<00:40,  8.02s/it]
 92%|█████████▏| 46/50 [06:09<00:32,  8.01s/it]
 94%|█████████▍| 47/50 [06:17<00:24,  8.02s/it]
 96%|█████████▌| 48/50 [06:25<00:16,  8.01s/it]
 98%|█████████▊| 49/50 [06:33<00:08,  8.01s/it]
100%|██████████| 50/50 [06:41<00:00,  8.01s/it]
100%|██████████| 50/50 [06:41<00:00,  8.02s/it]
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)

Saving video:   0%|          | 1/480 [00:00<07:02,  1.13it/s]
Saving video:  12%|█▏        | 56/480 [00:00<00:05, 77.56it/s]
Saving video:  20%|██        | 98/480 [00:01<00:02, 134.03it/s]
Saving video:  28%|██▊       | 135/480 [00:01<00:01, 178.15it/s]
Saving video:  36%|███▌      | 172/480 [00:01<00:01, 206.30it/s]
Saving video:  43%|████▎     | 206/480 [00:01<00:01, 230.74it/s]
Saving video:  50%|████▉     | 239/480 [00:01<00:00, 246.94it/s]
Saving video:  56%|█████▋    | 271/480 [00:01<00:00, 253.69it/s]
Saving video:  65%|██████▍   | 310/480 [00:01<00:00, 285.84it/s]
Saving video:  72%|███████▏  | 344/480 [00:01<00:00, 299.43it/s]
Saving video:  79%|███████▉  | 378/480 [00:01<00:00, 308.26it/s]
Saving video:  86%|████████▌ | 411/480 [00:02<00:00, 299.23it/s]
Saving video:  93%|█████████▎| 446/480 [00:02<00:00, 312.35it/s]
Saving video: 100%|█████████▉| 479/480 [00:02<00:00, 316.26it/s]
Saving video: 100%|██████████| 480/480 [00:02<00:00, 209.92it/s]
Chunk 6/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:34,  8.05s/it]
  4%|▍         | 2/50 [00:16<06:27,  8.07s/it]
  6%|▌         | 3/50 [00:24<06:18,  8.06s/it]
  8%|▊         | 4/50 [00:32<06:09,  8.04s/it]
 10%|█         | 5/50 [00:40<06:01,  8.03s/it]
 12%|█▏        | 6/50 [00:48<05:53,  8.03s/it]
 14%|█▍        | 7/50 [00:56<05:45,  8.04s/it]
 16%|█▌        | 8/50 [01:04<05:37,  8.04s/it]
 18%|█▊        | 9/50 [01:12<05:29,  8.03s/it]
 20%|██        | 10/50 [01:20<05:21,  8.03s/it]
 22%|██▏       | 11/50 [01:28<05:13,  8.03s/it]
 24%|██▍       | 12/50 [01:36<05:05,  8.03s/it]
 26%|██▌       | 13/50 [01:44<04:57,  8.04s/it]
 28%|██▊       | 14/50 [01:52<04:49,  8.04s/it]
 30%|███       | 15/50 [02:00<04:41,  8.04s/it]
 32%|███▏      | 16/50 [02:08<04:33,  8.03s/it]
 34%|███▍      | 17/50 [02:16<04:24,  8.03s/it]
 36%|███▌      | 18/50 [02:24<04:17,  8.03s/it]
 38%|███▊      | 19/50 [02:32<04:09,  8.03s/it]
 40%|████      | 20/50 [02:40<04:00,  8.03s/it]
 42%|████▏     | 21/50 [02:48<03:52,  8.03s/it]
 44%|████▍     | 22/50 [02:56<03:44,  8.03s/it]
 46%|████▌     | 23/50 [03:04<03:36,  8.03s/it]
 48%|████▊     | 24/50 [03:12<03:28,  8.02s/it]
 50%|█████     | 25/50 [03:20<03:20,  8.03s/it]
 52%|█████▏    | 26/50 [03:28<03:12,  8.03s/it]
 54%|█████▍    | 27/50 [03:36<03:04,  8.03s/it]
 56%|█████▌    | 28/50 [03:44<02:56,  8.03s/it]
 58%|█████▊    | 29/50 [03:52<02:48,  8.03s/it]
 60%|██████    | 30/50 [04:01<02:40,  8.03s/it]
 62%|██████▏   | 31/50 [04:09<02:32,  8.03s/it]
 64%|██████▍   | 32/50 [04:17<02:24,  8.04s/it]
 66%|██████▌   | 33/50 [04:25<02:16,  8.03s/it]
 68%|██████▊   | 34/50 [04:33<02:08,  8.03s/it]
 70%|███████   | 35/50 [04:41<02:00,  8.04s/it]
 72%|███████▏  | 36/50 [04:49<01:52,  8.04s/it]
 74%|███████▍  | 37/50 [04:57<01:44,  8.03s/it]
 76%|███████▌  | 38/50 [05:05<01:36,  8.03s/it]
 78%|███████▊  | 39/50 [05:13<01:28,  8.03s/it]
 80%|████████  | 40/50 [05:21<01:20,  8.03s/it]
 82%|████████▏ | 41/50 [05:29<01:12,  8.03s/it]
 84%|████████▍ | 42/50 [05:37<01:04,  8.02s/it]
 86%|████████▌ | 43/50 [05:45<00:56,  8.02s/it]
 88%|████████▊ | 44/50 [05:53<00:48,  8.02s/it]
 90%|█████████ | 45/50 [06:01<00:40,  8.02s/it]
 92%|█████████▏| 46/50 [06:09<00:32,  8.01s/it]
 94%|█████████▍| 47/50 [06:17<00:24,  8.01s/it]
 96%|█████████▌| 48/50 [06:25<00:16,  8.01s/it]
 98%|█████████▊| 49/50 [06:33<00:08,  8.01s/it]
100%|██████████| 50/50 [06:41<00:00,  8.01s/it]
100%|██████████| 50/50 [06:41<00:00,  8.03s/it]
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)

Saving video:   0%|          | 1/560 [00:00<08:15,  1.13it/s]
Saving video:   9%|▊         | 48/560 [00:00<00:07, 66.03it/s]
Saving video:  17%|█▋        | 95/560 [00:01<00:03, 132.20it/s]
Saving video:  24%|██▎       | 132/560 [00:01<00:02, 177.03it/s]
Saving video:  30%|███       | 169/560 [00:01<00:01, 205.03it/s]
Saving video:  36%|███▋      | 203/560 [00:01<00:01, 230.47it/s]
Saving video:  42%|████▏     | 236/560 [00:01<00:01, 247.87it/s]
Saving video:  48%|████▊     | 268/560 [00:01<00:01, 253.05it/s]
Saving video:  55%|█████▍    | 307/560 [00:01<00:00, 287.29it/s]
Saving video:  61%|██████    | 340/560 [00:01<00:00, 294.26it/s]
Saving video:  67%|██████▋   | 374/560 [00:01<00:00, 305.75it/s]
Saving video:  73%|███████▎  | 407/560 [00:02<00:00, 300.85it/s]
Saving video:  79%|███████▉  | 442/560 [00:02<00:00, 313.55it/s]
Saving video:  85%|████████▍ | 475/560 [00:02<00:00, 317.74it/s]
Saving video:  91%|█████████ | 508/560 [00:02<00:00, 298.09it/s]
Saving video:  96%|█████████▋| 539/560 [00:02<00:00, 299.57it/s]
Saving video: 100%|██████████| 560/560 [00:02<00:00, 217.46it/s]
Chunk 7/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:34,  8.05s/it]
  4%|▍         | 2/50 [00:16<06:26,  8.06s/it]
  6%|▌         | 3/50 [00:24<06:19,  8.07s/it]
  8%|▊         | 4/50 [00:32<06:11,  8.07s/it]
 10%|█         | 5/50 [00:40<06:02,  8.05s/it]
 12%|█▏        | 6/50 [00:48<05:53,  8.04s/it]
 14%|█▍        | 7/50 [00:56<05:45,  8.03s/it]
 16%|█▌        | 8/50 [01:04<05:37,  8.03s/it]
 18%|█▊        | 9/50 [01:12<05:29,  8.03s/it]
 20%|██        | 10/50 [01:20<05:21,  8.03s/it]
 22%|██▏       | 11/50 [01:28<05:13,  8.03s/it]
 24%|██▍       | 12/50 [01:36<05:05,  8.03s/it]
 26%|██▌       | 13/50 [01:44<04:57,  8.03s/it]
 28%|██▊       | 14/50 [01:52<04:49,  8.03s/it]
 30%|███       | 15/50 [02:00<04:41,  8.03s/it]
 32%|███▏      | 16/50 [02:08<04:33,  8.04s/it]
 34%|███▍      | 17/50 [02:16<04:25,  8.04s/it]
 36%|███▌      | 18/50 [02:24<04:17,  8.04s/it]
 38%|███▊      | 19/50 [02:32<04:09,  8.04s/it]
 40%|████      | 20/50 [02:40<04:01,  8.04s/it]
 42%|████▏     | 21/50 [02:48<03:52,  8.03s/it]
 44%|████▍     | 22/50 [02:56<03:44,  8.04s/it]
 46%|████▌     | 23/50 [03:04<03:36,  8.04s/it]
 48%|████▊     | 24/50 [03:12<03:28,  8.04s/it]
 50%|█████     | 25/50 [03:20<03:20,  8.04s/it]
 52%|█████▏    | 26/50 [03:28<03:12,  8.03s/it]
 54%|█████▍    | 27/50 [03:36<03:04,  8.03s/it]
 56%|█████▌    | 28/50 [03:44<02:56,  8.02s/it]
 58%|█████▊    | 29/50 [03:53<02:48,  8.02s/it]
 60%|██████    | 30/50 [04:01<02:40,  8.03s/it]
 62%|██████▏   | 31/50 [04:09<02:32,  8.03s/it]
 64%|██████▍   | 32/50 [04:17<02:24,  8.02s/it]
 66%|██████▌   | 33/50 [04:25<02:16,  8.01s/it]
 68%|██████▊   | 34/50 [04:33<02:08,  8.02s/it]
 70%|███████   | 35/50 [04:41<02:00,  8.02s/it]
 72%|███████▏  | 36/50 [04:49<01:52,  8.02s/it]
 74%|███████▍  | 37/50 [04:57<01:44,  8.02s/it]
 76%|███████▌  | 38/50 [05:05<01:36,  8.02s/it]
 78%|███████▊  | 39/50 [05:13<01:28,  8.01s/it]
 80%|████████  | 40/50 [05:21<01:20,  8.02s/it]
 82%|████████▏ | 41/50 [05:29<01:12,  8.02s/it]
 84%|████████▍ | 42/50 [05:37<01:04,  8.03s/it]
 86%|████████▌ | 43/50 [05:45<00:56,  8.03s/it]
 88%|████████▊ | 44/50 [05:53<00:48,  8.02s/it]
 90%|█████████ | 45/50 [06:01<00:40,  8.02s/it]
 92%|█████████▏| 46/50 [06:09<00:32,  8.02s/it]
 94%|█████████▍| 47/50 [06:17<00:24,  8.02s/it]
 96%|█████████▌| 48/50 [06:25<00:16,  8.02s/it]
 98%|█████████▊| 49/50 [06:33<00:08,  8.02s/it]
100%|██████████| 50/50 [06:41<00:00,  8.02s/it]
100%|██████████| 50/50 [06:41<00:00,  8.03s/it]
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)

Saving video:   0%|          | 1/640 [00:00<09:32,  1.12it/s]
Saving video:   9%|▉         | 57/640 [00:00<00:07, 77.86it/s]
Saving video:  16%|█▌        | 100/640 [00:01<00:03, 135.12it/s]
Saving video:  21%|██▏       | 137/640 [00:01<00:02, 178.77it/s]
Saving video:  27%|██▋       | 174/640 [00:01<00:02, 205.64it/s]
Saving video:  32%|███▎      | 208/640 [00:01<00:01, 228.92it/s]
Saving video:  38%|███▊      | 241/640 [00:01<00:01, 246.93it/s]
Saving video:  43%|████▎     | 273/640 [00:01<00:01, 254.23it/s]
Saving video:  49%|████▊     | 311/640 [00:01<00:01, 285.95it/s]
Saving video:  54%|█████▍    | 346/640 [00:01<00:00, 301.85it/s]
Saving video:  59%|█████▉    | 380/640 [00:01<00:00, 305.32it/s]
Saving video:  65%|██████▍   | 413/640 [00:02<00:00, 299.06it/s]
Saving video:  70%|███████   | 448/640 [00:02<00:00, 311.36it/s]
Saving video:  75%|███████▌  | 483/640 [00:02<00:00, 308.50it/s]
Saving video:  80%|████████  | 515/640 [00:02<00:00, 297.13it/s]
Saving video:  85%|████████▌ | 547/640 [00:02<00:00, 301.41it/s]
Saving video:  90%|█████████ | 578/640 [00:02<00:00, 287.78it/s]
Saving video:  95%|█████████▌| 608/640 [00:02<00:00, 266.46it/s]
Saving video: 100%|█████████▉| 638/640 [00:02<00:00, 274.78it/s]
Saving video: 100%|██████████| 640/640 [00:02<00:00, 221.03it/s]
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:35,  8.07s/it]
  4%|▍         | 2/50 [00:16<06:27,  8.06s/it]
  6%|▌         | 3/50 [00:24<06:19,  8.07s/it]
  8%|▊         | 4/50 [00:32<06:10,  8.06s/it]
 10%|█         | 5/50 [00:40<06:01,  8.04s/it]
 12%|█▏        | 6/50 [00:48<05:53,  8.04s/it]
 14%|█▍        | 7/50 [00:56<05:45,  8.03s/it]
 16%|█▌        | 8/50 [01:04<05:37,  8.03s/it]
 18%|█▊        | 9/50 [01:12<05:29,  8.03s/it]
 20%|██        | 10/50 [01:20<05:21,  8.03s/it]
 22%|██▏       | 11/50 [01:28<05:13,  8.04s/it]
 24%|██▍       | 12/50 [01:36<05:05,  8.03s/it]
 26%|██▌       | 13/50 [01:44<04:57,  8.03s/it]
 28%|██▊       | 14/50 [01:52<04:49,  8.04s/it]
 30%|███       | 15/50 [02:00<04:41,  8.03s/it]
 32%|███▏      | 16/50 [02:08<04:33,  8.03s/it]
 34%|███▍      | 17/50 [02:16<04:24,  8.03s/it]
 36%|███▌      | 18/50 [02:24<04:16,  8.03s/it]
 38%|███▊      | 19/50 [02:32<04:08,  8.03s/it]
 40%|████      | 20/50 [02:40<04:01,  8.03s/it]
 42%|████▏     | 21/50 [02:48<03:52,  8.03s/it]
 44%|████▍     | 22/50 [02:56<03:44,  8.03s/it]
 46%|████▌     | 23/50 [03:04<03:36,  8.03s/it]
 48%|████▊     | 24/50 [03:12<03:28,  8.03s/it]
 50%|█████     | 25/50 [03:20<03:20,  8.03s/it]
 52%|█████▏    | 26/50 [03:28<03:12,  8.03s/it]
 54%|█████▍    | 27/50 [03:36<03:04,  8.03s/it]
 56%|█████▌    | 28/50 [03:44<02:56,  8.04s/it]
 58%|█████▊    | 29/50 [03:53<02:48,  8.04s/it]
 60%|██████    | 30/50 [04:01<02:40,  8.03s/it]
 62%|██████▏   | 31/50 [04:09<02:32,  8.03s/it]
 64%|██████▍   | 32/50 [04:17<02:24,  8.03s/it]
 66%|██████▌   | 33/50 [04:25<02:16,  8.03s/it]
 68%|██████▊   | 34/50 [04:33<02:08,  8.03s/it]
 70%|███████   | 35/50 [04:41<02:00,  8.02s/it]
 72%|███████▏  | 36/50 [04:49<01:52,  8.03s/it]
 74%|███████▍  | 37/50 [04:57<01:44,  8.03s/it]
 76%|███████▌  | 38/50 [05:05<01:36,  8.02s/it]
 78%|███████▊  | 39/50 [05:13<01:28,  8.02s/it]
 80%|████████  | 40/50 [05:21<01:20,  8.02s/it]
 82%|████████▏ | 41/50 [05:29<01:12,  8.02s/it]
 84%|████████▍ | 42/50 [05:37<01:04,  8.02s/it]
 86%|████████▌ | 43/50 [05:45<00:56,  8.02s/it]
 88%|████████▊ | 44/50 [05:53<00:48,  8.02s/it]
 90%|█████████ | 45/50 [06:01<00:40,  8.01s/it]
 92%|█████████▏| 46/50 [06:09<00:32,  8.01s/it]
 94%|█████████▍| 47/50 [06:17<00:24,  8.01s/it]
 96%|█████████▌| 48/50 [06:25<00:16,  8.01s/it]
 98%|█████████▊| 49/50 [06:33<00:08,  8.02s/it]
100%|██████████| 50/50 [06:41<00:00,  8.01s/it]
100%|██████████| 50/50 [06:41<00:00,  8.03s/it]
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)

Saving video:   0%|          | 1/720 [00:00<10:37,  1.13it/s]
Saving video:   8%|▊         | 58/720 [00:00<00:08, 80.04it/s]
Saving video:  14%|█▍        | 101/720 [00:01<00:04, 137.29it/s]
Saving video:  19%|█▉        | 139/720 [00:01<00:03, 178.68it/s]
Saving video:  24%|██▍       | 175/720 [00:01<00:02, 205.36it/s]
Saving video:  29%|██▉       | 209/720 [00:01<00:02, 227.80it/s]
Saving video:  33%|███▎      | 241/720 [00:01<00:01, 246.03it/s]
Saving video:  38%|███▊      | 273/720 [00:01<00:01, 256.09it/s]
Saving video:  43%|████▎     | 312/720 [00:01<00:01, 289.32it/s]
Saving video:  48%|████▊     | 347/720 [00:01<00:01, 305.20it/s]
Saving video:  53%|█████▎    | 381/720 [00:01<00:01, 306.07it/s]
Saving video:  57%|█████▊    | 414/720 [00:02<00:01, 301.24it/s]
Saving video:  62%|██████▏   | 449/720 [00:02<00:00, 313.34it/s]
Saving video:  67%|██████▋   | 483/720 [00:02<00:00, 315.41it/s]
Saving video:  72%|███████▏  | 516/720 [00:02<00:00, 297.24it/s]
Saving video:  76%|███████▌  | 547/720 [00:02<00:00, 300.52it/s]
Saving video:  80%|████████  | 578/720 [00:02<00:00, 284.86it/s]
Saving video:  84%|████████▍ | 607/720 [00:02<00:00, 264.67it/s]
Saving video:  89%|████████▉ | 639/720 [00:02<00:00, 278.39it/s]
Saving video:  93%|█████████▎| 668/720 [00:02<00:00, 267.66it/s]
Saving video:  97%|█████████▋| 697/720 [00:03<00:00, 271.81it/s]
Saving video: 100%|██████████| 720/720 [00:03<00:00, 227.33it/s]
Chunk 9/10 saved successfully!

================================================================================
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...

  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:08<06:35,  8.07s/it]
  4%|▍         | 2/50 [00:16<06:26,  8.05s/it]
  6%|▌         | 3/50 [00:24<06:17,  8.03s/it]
  8%|▊         | 4/50 [00:32<06:08,  8.02s/it]
 10%|█         | 5/50 [00:40<06:01,  8.02s/it]
 12%|█▏        | 6/50 [00:48<05:53,  8.03s/it]
 14%|█▍        | 7/50 [00:56<05:45,  8.03s/it]
 16%|█▌        | 8/50 [01:04<05:37,  8.03s/it]
 18%|█▊        | 9/50 [01:12<05:29,  8.04s/it]
 20%|██        | 10/50 [01:20<05:21,  8.03s/it]
 22%|██▏       | 11/50 [01:28<05:13,  8.04s/it]
 24%|██▍       | 12/50 [01:36<05:05,  8.03s/it]
 26%|██▌       | 13/50 [01:44<04:57,  8.03s/it]
 28%|██▊       | 14/50 [01:52<04:49,  8.04s/it]
 30%|███       | 15/50 [02:00<04:41,  8.04s/it]
 32%|███▏      | 16/50 [02:08<04:33,  8.04s/it]
 34%|███▍      | 17/50 [02:16<04:25,  8.04s/it]
 36%|███▌      | 18/50 [02:24<04:17,  8.04s/it]
 38%|███▊      | 19/50 [02:32<04:09,  8.04s/it]
 40%|████      | 20/50 [02:40<04:01,  8.04s/it]
 42%|████▏     | 21/50 [02:48<03:53,  8.04s/it]
 44%|████▍     | 22/50 [02:56<03:44,  8.03s/it]
 46%|████▌     | 23/50 [03:04<03:36,  8.04s/it]
 48%|████▊     | 24/50 [03:12<03:28,  8.03s/it]
 50%|█████     | 25/50 [03:20<03:20,  8.03s/it]
 52%|█████▏    | 26/50 [03:28<03:12,  8.03s/it]
 54%|█████▍    | 27/50 [03:36<03:04,  8.03s/it]
 56%|█████▌    | 28/50 [03:44<02:56,  8.03s/it]
 58%|█████▊    | 29/50 [03:52<02:48,  8.03s/it]
 60%|██████    | 30/50 [04:00<02:40,  8.03s/it]
 62%|██████▏   | 31/50 [04:09<02:32,  8.03s/it]
 64%|██████▍   | 32/50 [04:17<02:24,  8.03s/it]
 66%|██████▌   | 33/50 [04:25<02:16,  8.02s/it]
 68%|██████▊   | 34/50 [04:33<02:08,  8.02s/it]
 70%|███████   | 35/50 [04:41<02:00,  8.02s/it]
 72%|███████▏  | 36/50 [04:49<01:52,  8.02s/it]
 74%|███████▍  | 37/50 [04:57<01:44,  8.01s/it]
 76%|███████▌  | 38/50 [05:05<01:36,  8.01s/it]
 78%|███████▊  | 39/50 [05:13<01:28,  8.02s/it]
 80%|████████  | 40/50 [05:21<01:20,  8.02s/it]
 82%|████████▏ | 41/50 [05:29<01:12,  8.02s/it]
 84%|████████▍ | 42/50 [05:37<01:04,  8.02s/it]
 86%|████████▌ | 43/50 [05:45<00:56,  8.02s/it]
 88%|████████▊ | 44/50 [05:53<00:48,  8.02s/it]
 90%|█████████ | 45/50 [06:01<00:40,  8.02s/it]
 92%|█████████▏| 46/50 [06:09<00:32,  8.02s/it]
 94%|█████████▍| 47/50 [06:17<00:24,  8.01s/it]
 96%|█████████▌| 48/50 [06:25<00:16,  8.02s/it]
 98%|█████████▊| 49/50 [06:33<00:08,  8.02s/it]
100%|██████████| 50/50 [06:41<00:00,  8.01s/it]
100%|██████████| 50/50 [06:41<00:00,  8.03s/it]
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)

Saving video:   0%|          | 1/801 [00:01<13:41,  1.03s/it]
Saving video:   6%|▋         | 52/801 [00:01<00:11, 63.16it/s]
Saving video:  12%|█▏        | 97/801 [00:01<00:05, 120.39it/s]
Saving video:  17%|█▋        | 134/801 [00:01<00:04, 163.58it/s]
Saving video:  21%|██▏       | 171/801 [00:01<00:03, 190.76it/s]
Saving video:  26%|██▌       | 205/801 [00:01<00:02, 218.04it/s]
Saving video:  30%|██▉       | 238/801 [00:01<00:02, 237.85it/s]
Saving video:  34%|███▎      | 270/801 [00:01<00:02, 247.30it/s]
Saving video:  38%|███▊      | 306/801 [00:01<00:01, 274.21it/s]
Saving video:  42%|████▏     | 338/801 [00:02<00:01, 285.56it/s]
Saving video:  47%|████▋     | 373/801 [00:02<00:01, 302.02it/s]
Saving video:  51%|█████     | 407/801 [00:02<00:01, 299.62it/s]
Saving video:  55%|█████▌    | 442/801 [00:02<00:01, 313.13it/s]
Saving video:  59%|█████▉    | 476/801 [00:02<00:01, 319.62it/s]
Saving video:  64%|██████▎   | 509/801 [00:02<00:00, 302.66it/s]
Saving video:  68%|██████▊   | 541/801 [00:02<00:00, 301.55it/s]
Saving video:  71%|███████▏  | 572/801 [00:02<00:00, 293.57it/s]
Saving video:  75%|███████▌  | 602/801 [00:02<00:00, 281.69it/s]
Saving video:  79%|███████▉  | 631/801 [00:02<00:00, 274.44it/s]
Saving video:  83%|████████▎ | 661/801 [00:03<00:00, 278.36it/s]
Saving video:  86%|████████▌ | 690/801 [00:03<00:00, 273.46it/s]
Saving video:  91%|█████████ | 725/801 [00:03<00:00, 294.42it/s]
Saving video:  94%|█████████▍| 755/801 [00:03<00:00, 285.98it/s]
Saving video:  98%|█████████▊| 784/801 [00:03<00:00, 286.19it/s]
Saving video: 100%|██████████| 801/801 [00:03<00:00, 223.15it/s]
Chunk 10/10 saved successfully!

####################################################################################################
COMPLETED SAMPLE 1/1: train_000001
####################################################################################################

Completed processing all 1 scenarios!