lllyasviel / lllyasviel/ControlNet
Request: Implement as much as possible from the Mikubill repo
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
- No merged PRs in 30d
Description
Great project and it is revolutionary for SD. I've modified and added the project to my own application wrapped in a flask server. It works pretty well but I would like to be able to use models without merging them like the A1111 extension and also the control weight is a much needed option as well. Being able to set the denoising value would be good too.
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
Start by reviewing the model-loading and merging flow, then trace where control weight and denoising values are handled. Define the scope for using unmerged models and exposing those options, and verify each requested capability against the existing application behavior.
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