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:
- ffe6e1f14a9917ed65660ee1ea74a4247123139889bb2f8b8b9f520542998d8b
- Size of remote file:
- 30.7 kB
- SHA256:
- abf457e1e8324ced22fd733fda26057f2f2be68af3ed4b83aee48b86c8872eaf
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