modelscope / modelscope/DiffSynth-Studio
Will provide the training and fine-tuning code for the VACE algorithm?
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- Dominant language
- Python
- Stars
- 13.1k
- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
The numerous tasks supported by VACE are universal and can be migrated to other scenarios. However, they may need fine-tuning to meet the requirements of specific scenario tasks.
Can DiffSynth-Studio provide training scripts for VACE?
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 names no files, tests, or entry points. Start by locating the VACE implementation and any existing training or fine-tuning entry points, then determine the required scenario-task inputs and workflow. Done means documented, usable training scripts support fine-tuning VACE for other scenarios.
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
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100