modelscope / modelscope/DiffSynth-Studio

HunyuanVideo ValueError: Image features and image tokens do not match: tokens: 1, features 2359296

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Description

怎么解决呢

Traceback (most recent call last):
  File "/root/paddlejob/workspace/env_run/zwr_workspace/DiffSynth-Studio/hunyuanvideo_i2v_24G.py", line 43, in <module>
    video = pipe(prompt, input_images=images, num_inference_steps=50, seed=0, i2v_resolution=i2v_resolution)
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "/root/paddlejob/workspace/env_run/zwr_workspace/DiffSynth-Studio/diffsynth/pipelines/hunyuan_video.py", line 190, in __call__
    prompt_emb_posi = self.encode_prompt(prompt, positive=True, input_images=input_images)
  File "/root/paddlejob/workspace/env_run/zwr_workspace/DiffSynth-Studio/diffsynth/pipelines/hunyuan_video.py", line 106, in encode_prompt
    prompt_emb, pooled_prompt_emb, text_mask = self.prompter.encode_prompt(
  File "/root/paddlejob/workspace/env_run/zwr_workspace/DiffSynth-Studio/diffsynth/prompters/hunyuan_video_prompter.py", line 288, in encode_prompt
    prompt_emb, attention_mask = self.encode_prompt_using_mllm(prompt_formated, images, llm_sequence_length, device,
  File "/root/paddlejob/workspace/env_run/zwr_workspace/DiffSynth-Studio/diffsynth/prompters/hunyuan_video_prompter.py", line 191, in encode_prompt_using_mllm
    last_hidden_state = self.text_encoder_2(input_ids=input_ids,
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1739, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1750, in _call_impl
    return forward_call(*args, **kwargs)
  File "/root/paddlejob/workspace/env_run/zwr_workspace/DiffSynth-Studio/diffsynth/models/hunyuan_video_text_encoder.py", line 63, in forward
    outputs = super().forward(input_ids=input_ids,
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/transformers/utils/generic.py", line 943, in wrapper
    output = func(self, *args, **kwargs)
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 455, in forward
    outputs = self.model(
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1739, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1750, in _call_impl
    return forward_call(*args, **kwargs)
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/transformers/utils/generic.py", line 943, in wrapper
    output = func(self, *args, **kwargs)
  File "/root/paddlejob/workspace/env_run/miniconda3/envs/Diff-S/lib/python3.10/site-packages/transformers/models/llava/modeling_llava.py", line 296, in forward
    raise ValueError(
`ValueError: Image features and image tokens do not match: tokens: 1, features 2359296`

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the failure from hunyuanvideo_i2v_24G.py line 43. Then inspect diffsynth/pipelines/hunyuan_video.py and diffsynth/prompters/hunyuan_video_prompter.py, especially encode_prompt and encode_prompt_using_mllm, to trace the image tokens and features reported by the traceback. Done means the cause is confirmed and the cited invocation no longer raises this ValueError.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
ai, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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