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
Download diffusion_pytorch_model.fp16.bin from CrucibleAI/ControlNetMediaPipeFace: direct link, hf CLI and curl.
- Browser
- Download file 729 MB
-
https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://CrucibleAI/ControlNetMediaPipeFace/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/main/diffusion_pytorch_model.fp16.bin
729 MB
- Xet hash:
- 954ed67ec7349e3a76c86f06324e6318155b4cd715945607e96915b92a75fe4a
- Size of remote file:
- 729 MB
- SHA256:
- 7f70c38860e0d1fcd0f5ed38bc34e61c7337b9001bed57f7bff6eba6471406f0
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