lllyasviel / lllyasviel/stable-diffusion-webui-forge
Looks like a free method to accelerate the inference
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- Dominant language
- Python
- Stars
- 13k
- Forks
- 1.7k
- PR merge metrics
- No merged PRs in 30d
Description
Is this an approach that could be applied to Flux? https://github.com/HaozheLiu-ST/T-GATE ?
The SD support is already implemented
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
Read the linked T-GATE project and inspect the existing Stable Diffusion support in this repository. Determine whether the same approach applies to Flux, then define the required implementation scope and a reproducible inference-speed comparison as the completion criteria.
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