modelscope / modelscope/DiffSynth-Studio
如何在diffsync中使用FusionX和lightx2v这样的加速LoRA
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- Dominant language
- Python
- Stars
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Description
This issue has no description.
Contributor guide
No contributing guide indexed for this repository
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
The issue has no body and mentions only using FusionX and lightx2v acceleration LoRAs with diffsync. Start by locating the repository's diffsync entry point and existing LoRA usage documentation. Done should be a documented, reproducible usage path, but the required files and expected behavior are not specified.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100