lllyasviel / lllyasviel/ControlNet
Do we need to finetune controlnet when we merge sd with different lora?
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- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
- No merged PRs in 30d
Description
When we have trained a lora with sd and merge lora with sd to get a new base model, do we need to finetune controlnet with new base model?
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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 examining the repository's ControlNet training and model-loading paths, then determine whether merging a LoRA-trained Stable Diffusion model changes the assumptions used by ControlNet; done means a documented, evidence-based answer about whether retraining is required.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100