modelscope / modelscope/DiffSynth-Studio
inconsistency with the official implementation of WanX2.1
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Description
Hi, thank you so much for releasing the inference and fine-tuning codes of WanX2.1. This is a powerful contribution for the AIGC community. I notice that in this implementation, the denoising algorithm is Rectified Flows while it is UniPC [Zhao et al., NeurIPS'23] in Wanx's official codes. Will this incur measurable performance impact? Look forward to your reply.
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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 locating the WanX2.1 inference and fine-tuning implementations and comparing their denoising algorithms with the official WanX2.1 code referenced in the issue. Determine whether the Rectified Flows versus UniPC difference produces a measurable performance impact, then document the evidence and decide whether an implementation change is warranted.
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Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100