Instructions to use CrucibleAI/ControlNetMediaPipeFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CrucibleAI/ControlNetMediaPipeFace with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("CrucibleAI/ControlNetMediaPipeFace") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Diffusers weights (#6)
- upload diffusers (f182414fe08712897ad2303fd70016f6a55bf3cf) - correct (1e93c51ebfd257020ae423c0755016a84afd2aa8) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>7610200
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Add example with multiple faces to readme.
Joseph Catrambonef3e7dd8 -
Update README.md
Remove the "prompt" column as the prompts were not complete and distracted from the point.09834b2 -
Update README.md (#1)
- Update README.md (092ee96dee6ae6657a1a7367aa9939afd77bc733)de10581 -
Update README.md
Fix links to sample images.7f88d43 -
Fix typo in openrail.
Joseph Catrambone76a28b3 -
Add yaml card prefix to model README.
Joseph Catrambone737d17a
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First import. Add ControlNetSD21 Laion Face (full, pruned, and safetensors). Add README and samples. Add surrounding tools for example use.
Joseph Catrambone568dc2c -
Initial import. Track jpg, png, pt, ckpt, and safetensors with Git LFS.
Joseph Catrambonef0855ac -
initial commit
4291d91