modelscope / modelscope/DiffSynth-Studio
Compararison with diffusers
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- Dominant language
- Python
- Stars
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- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
Hi! Great work!
I would like to know why the inference speed is much faster than diffusers implementation and there's quality gap as well.
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
The issue names no files, tests, or entry points. Start by identifying the inference path and the corresponding diffusers implementation, then compare their speed and output quality; the work is done when the cause of both differences is documented or a specific defect is identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100