lllyasviel / lllyasviel/ControlNet
question about model.control_scale
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Description
Hi! Thank you so much for your great work!
I have a question related to the control strength when using gradio.
This may related to model.control_scales, in
[`model.control_scales = [strength * (0.825 ** float(12 - i)) for i in range(13)] if guess_mode else ([strength] * 13) # Magic number. IDK why. Perhaps because 0.825**12<0.01 but 0.826**12>0.01`](https://github.com/lllyasviel/ControlNet/blob/main/gradio_depth2image.py#L54)
May I know what's the meaning of the model.control_scales and the usage of control strength?
Thank you so much in advance!
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Research direction
Start with gradio_depth2image.py around line 54 and trace where model.control_scales is read during inference. Read the surrounding ControlNet model code to identify how the scales affect control strength, then document the meaning of the values and the difference between normal and guess mode.
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Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100