lllyasviel / lllyasviel/ControlNet
Train tutorial - train on top of a fine tuned (ex, Dreambooth) .ckpt model?
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Description
The train tutorial code points to a Stable Diffusion model:
python tool_add_control.py ./models/v1-5-pruned.ckpt ./models/control_sd15_ini.ckpt
is it ok to point to a fine tuned Dreambooth ckpt?
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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 with the training tutorial and the tool_add_control.py command that references v1-5-pruned.ckpt and control_sd15_ini.ckpt. Check whether the tutorial documents using a fine-tuned Dreambooth checkpoint; done means providing a clear, verified answer or updating the tutorial guidance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100