lllyasviel / lllyasviel/ControlNet
Coding guides for ControlNet
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- Dominant language
- Python
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Description
Looking for more coding guides with control net. I don't want to use Automatic1111 and most guides out there are just for Automatic1111. I been following some of the diffusers library guide, but their examples are quite limited.
I been trying as of late to use img2img with openpose, depth maps, and canny. I been trying to generate an initial image, then feed the most recently created image back into the img2img; this way, I can have an animation get generated. I create the openpose/depth map images I create from blender.
Contributor guide
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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 mentions the Diffusers library guides, img2img, OpenPose, depth maps, and Canny inputs generated from Blender, but names no repository files or tests. Start by reviewing the existing ControlNet and Diffusers examples; the work would need a defined set of coding guides covering the requested workflow and examples that can be run and verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- blender, python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100