lllyasviel / lllyasviel/ControlNet
just a finding of generating human faces or half-body image using canny, hed, etc...
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- Python
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Description
Hi,
Firstly i would like to say many thanks to the developers of ControlNet. Great work!
I've been using ControlNet to generate human-related stuff, e.g. faces, half-body portrait, etc...
One interesting issue i found would be the model tends to generate grayscale (white and black) image when canny/hed conditions is being added and idk why. I have to say this phenomenon is indeed different from other stable diffusion models that i've used.
One feasible solution to alleviate this issue is simply add "grayscale, monochrome" to the negative prompt if you don't want grayscale effects.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Reproduce the reported behavior with human-face or half-body prompts while applying canny or hed conditioning, and compare the outputs with other Stable Diffusion models if available. Since the issue names no files or tests, done would require determining whether the grayscale result is an expected behavior or a reproducible defect and documenting the finding.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100