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:
- 132501e19874e9bda1d1688a09ae4add251f4817313630f4970397fef4bfee8d
- Size of remote file:
- 439 kB
- SHA256:
- f8f0601bb0446d2b8a4d9c70affcea5b0fccff804dd6e954c0996dbbd7f031aa
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