lllyasviel / lllyasviel/ControlNet
How to train on top of ControlNet model?
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- Python
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Description
Trying to run the fill50K tutorial, but instead of training from scratch I want to train on top of an existing ControlNet model (say Canny). How would I go about doing that?
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 reading and running the fill50K tutorial, then investigate how its training flow could accept an existing Canny ControlNet model instead of starting from scratch. The issue does not name files or tests; done would be clear documentation of the required training steps and configuration.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100