modelscope / modelscope/DiffSynth-Studio
Question about contributing to LingBot-Video SFT training
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13.1k
- Forks
- 1.3k
- Avg merge
- 13h 12m
- Merged PRs (30d)
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Description
Hi, thank you for the great work on DiffSynth-Studio.
I am interested in trying to implement SFT training for LingBot-Video. Is this an area where community contributions are welcome?
If so, could you please share any relevant guidance or resources?
Thank you!
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 asks whether community contributions to SFT training for LingBot-Video are welcome, but it names no files, tests, or entry points. First clarify the intended scope and request the relevant guidance or resources; completion criteria are not defined until maintainers confirm the work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100