AnimateLCM: Assertion failed, number < max_number in function 'icvExtractPattern'

[aiac]

Describe the bug

[ERROR:[email protected]] global cap.cpp:643 open VIDEOIO(CV_IMAGES): raised OpenCV exception:

OpenCV(4.9.0) /io/opencv/modules/videoio/src/cap_images.cpp:274: error: (-215:Assertion failed) number < max_number in function 'icvExtractPattern'

To Reproduce
Steps to reproduce the behavior:

1. Build image with CUDA support
2. Run container with docker run -it --gpus=all --restart=always -p 7860:7860 -v //e/AI/biniou/outputs:/home/biniou/biniou/outputs -v //e/AI/biniou/models:/home/biniou/biniou/models -v //e/AI/biniou/cache//e//home/biniou/.cache/huggingface -v //e/AI/biniou/gfpgan:/home/biniou/biniou/gfpgan biniou:latest
3. Choose Video -> AnimateLCM (didn't change any settings)
4. Type in prompt & hit Execute
5. Wait until error occure

Expected behavior
Video output.

Console log

>>>[AnimateLCM 📼 ]: starting module
Keyword arguments {'safety_checker': StableDiffusionSafetyChecker(
  (vision_model): CLIPVisionModel(
    (vision_model): CLIPVisionTransformer(
      (embeddings): CLIPVisionEmbeddings(
        (patch_embedding): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14), bias=False)
        (position_embedding): Embedding(257, 1024)
      )
      (pre_layrnorm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
      (encoder): CLIPEncoder(
        (layers): ModuleList(
          (0-23): 24 x CLIPEncoderLayer(
            (self_attn): CLIPAttention(
              (k_proj): Linear(in_features=1024, out_features=1024, bias=True)
              (v_proj): Linear(in_features=1024, out_features=1024, bias=True)
              (q_proj): Linear(in_features=1024, out_features=1024, bias=True)
              (out_proj): Linear(in_features=1024, out_features=1024, bias=True)
            )
            (layer_norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
            (mlp): CLIPMLP(
              (activation_fn): QuickGELUActivation()
              (fc1): Linear(in_features=1024, out_features=4096, bias=True)
              (fc2): Linear(in_features=4096, out_features=1024, bias=True)
            )
            (layer_norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
          )
        )
      )
      (post_layernorm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
    )
  )
  (visual_projection): Linear(in_features=1024, out_features=768, bias=False)
)} are not expected by AnimateDiffPipeline and will be ignored.
The config attributes {'center_input_sample': False, 'flip_sin_to_cos': True, 'freq_shift': 0, 'mid_block_type': 'UNetMidBlock2DCrossAttn', 'only_cross_attention': False, 'attention_head_dim': 8, 'dual_cross_attention': False, 'class_embed_type': None, 'addition_embed_type': None, 
'num_class_embeds': None, 'upcast_attention': False, 'resnet_time_scale_shift': 'default', 'resnet_skip_time_act': False, 'resnet_out_scale_factor': 1.0, 'time_embedding_type': 'positional', 'time_embedding_dim': None, 'time_embedding_act_fn': None, 'timestep_post_act': None, 'conv_in_kernel': 3, 'conv_out_kernel': 3, 'projection_class_embeddings_input_dim': None, 'class_embeddings_concat': False, 'mid_block_only_cross_attention': None, 'cross_attention_norm': None, 'addition_embed_type_num_heads': 64} were passed to UNetMotionModel, but are not expected and will be ignored. Please verify your config.json configuration file.
[ERROR:[email protected]] global cap.cpp:643 open VIDEOIO(CV_IMAGES): raised OpenCV exception:

OpenCV(4.9.0) /io/opencv/modules/videoio/src/cap_images.cpp:274: error: (-215:Assertion failed) number < max_number in function 'icvExtractPattern'


>>>[AnimateLCM 📼 ]: generated 1 batch(es) of 1
>>>[AnimateLCM 📼 ]: Settings : Model=emilianJR/epiCRealism | Adapter=wangfuyun/AnimateLCM | Sampler=LCM | Steps=4 | CFG scale=2 | Video length=16 frames | Size=512x512 | GFPGAN=True | Token merging=0 | nsfw_filter=True | Prompt=breathing heart | Negative prompt= | Seed List=9893499623
>>>[Text2Video-Zero 📼 ]: leaving module
>>>[biniou 🧠]: Generation finished in 00:01:33 (93 seconds)
Traceback (most recent call last):
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/queueing.py", line 407, in call_prediction
    output = await route_utils.call_process_api(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/route_utils.py", line 226, in call_process_api
    output = await app.get_blocks().process_api(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/blocks.py", line 1559, in process_api
    data = self.postprocess_data(fn_index, result["prediction"], state)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/blocks.py", line 1447, in postprocess_data
    prediction_value = block.postprocess(prediction_value)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/components/video.py", line 273, in postprocess
    processed_files = (self._format_video(y), None)
                       ^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/components/video.py", line 350, in _format_video
    video = self.make_temp_copy_if_needed(video)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/components/base.py", line 233, in make_temp_copy_if_needed
    temp_dir = self.hash_file(file_path)
               ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/biniou/biniou/env/lib/python3.11/site-packages/gradio/components/base.py", line 197, in hash_file
    with open(file_path, "rb") as f:
         ^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 'outputs/1713882195_259951_9893499623.mp4'

Hardware

• RAM size: 32GB
• Processor physical core number or vcore number : 24
• GPU : Nvidia Geforce RTX 3080

Desktop

• latest NVIDIA Studio drivers
• Windows 10 22H2
• Docker for Windows with WSL2 / CUDA support

[Woolverine94]

Hello @aiac,

Thanks for your feedback and your interest in biniou.

I can't reproduce, neither using a linux basic (CPU) install, nor with a docker (without CUDA) install.

Can you confirm that :

• The file outputs/1713882195_259951_9893499623.mp4 has not been created ?
• You can generate others contents (like images) that appears in the outputs directory ?

I suspect that this could be linked to this issue (which is supposed to be "fixed") in your specific context (Windows / CUDA / Docker).

If it's the case, it should be pretty easy to solve, as it's only related to the name of the output file generated. I will make some tests later today and try to propose a commit asap.

[Woolverine94]

@aiac,

Commit bcbc1f9 introduce a possible workaround for the behavior your encountered, by using a temporary name during video creation step, then renaming the file to its final name.

Please confirm if it has any kind of effect on your issue.

[Woolverine94]

Closing this issue, as it's inactive for more than a month. Please don't hesitate to re-open it if required.

Also, by re-reading your initial log, I realize that there was a typo in your command line :
-v //e/AI/biniou/cache//e//home/biniou/.cache/huggingface
should be
-v //e/AI/biniou/cache:/home/biniou/.cache/huggingface

It's unlikely related to this issue, but you should correct it to save some space.