lllyasviel / lllyasviel/ControlNet
ControlNet Training in pixel space rather than latent space is hard to produce good results
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- Python
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Description
I have a problem when training ControlNet.
I find the model desn't generate images according to the input condition, regardless of more than 50k iterations
Maybe the reason is that direct learning in pixel space is hard compared with latent space.
Thanks!
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Research direction
The issue names no file, test, or entry point, and provides no reproducible training configuration or expected-versus-actual example. Start by documenting the ControlNet training setup and reproducing the reported pixel-space behavior; completion would require identifying whether the training approach or configuration causes the condition to be ignored and defining a verified improvement.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100