modelscope / modelscope/DiffSynth-Studio
wan_1.3b_vace.py inference problem
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Description
This is the error I encountered when running video+image in wan_1.3b_vace.py.
An error occurred when running torchrun --nproc_per_node=2 wan_1.3b_vace.py
The key error message is:
RuntimeError: The size of tensor a (12716) must match the size of tensor b (25432) at non-singleton dimension 1
This error occurs at line 580 in the diffsynth/pipelines/wan_video.py file:
x = x + vace_hints[vace.vace_layers_mapping[block_id]] * vace_scale
The other wan2.1 models can perform inference normally, only vace encounters errors. Changing the resolution still results in a fixed error, with the size of a always being half of b.
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Research direction
Reproduce the failure with torchrun --nproc_per_node=2 wan_1.3b_vace.py, then inspect line 580 in diffsynth/pipelines/wan_video.py, especially the VACE hint mapping used in the tensor addition. Compare the tensor dimensions for the VACE and other Wan 2.1 inference paths; done means video+image inference completes without the dimension mismatch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100