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
Joseph Catrambone
First import. Add ControlNetSD21 Laion Face (full, pruned, and safetensors). Add README and samples. Add surrounding tools for example use.
568dc2c 
- Xet hash:
- 2efcc127cb6536caf1c03c805d54ab859e76d1ac8bea7589282f2241adcd1ab4
- Size of remote file:
- 40.7 kB
- SHA256:
- 5f1f9ec66bfdf7ad0630c18a9d666e02f8b9edc7e5c24b145bb1046187ffc972
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