modelscope / modelscope/DiffSynth-Studio
When wan-video supports attention, the effect becomes worse.
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- Python
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Description
The current version has updated content: Wan-Video supports multiple Attention implementations.
But the effect is far inferior to the branch: wan-train.
I tried to use the same picture + the same prompt word + the same parameters many times, but the effect is far inferior to wan-train. What is the reason? Can attention be turned off manually?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the Wan-Video result with the same picture, prompt, and parameters, then compare the current attention implementations with the wan-train branch. Determine which attention path causes the quality difference and whether attention can be disabled manually. Done means the cause and a reliable reproduction or configuration are documented.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100