Question about contributing to LingBot-Video SFT training
Maintainers usually reply within 1 day
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- python
- Domain
- machine-learning
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.
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!
- Dominant language
- Python
- Stars
- 13.2k
- Forks
- 1.3k
- Avg merge
- 22h 15m
- Merged PRs (30d)
- 31
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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