modelscope / modelscope/DiffSynth-Studio
请问能增加ltx2.3图生视频对口型对训练支持吗？
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- Dominant language
- Python
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Description
类似于s2v，输入音频，输出口型是对的视频
Contributor guide
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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 reviewing the existing S2V support and the project’s LTX 2.3 training entry point. Determine how audio conditioning and image-to-video training are currently handled, then define the expected lip-sync output and validate it with the project’s existing training checks. Done means training support accepts audio and produces a video with matching lip movements.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100