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 Download samples_laion_face_dataset/neutral_result.png from CrucibleAI/ControlNetMediaPipeFace: direct link, hf CLI and curl.
- Browser
- Download file 569 kB
-
https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/samples_laion_face_dataset/neutral_result.png
- Command line
-
hf download hf://CrucibleAI/ControlNetMediaPipeFace@refs/pr/9/samples_laion_face_dataset/neutral_result.png
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curl -L -o neutral_result.png https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/samples_laion_face_dataset/neutral_result.png
569 kB

- Xet hash:
- 69b6ff9ea548398b8cc25169020352a27e881f0d2771cabe4319eaab7ade9ab0
- Size of remote file:
- 569 kB
- SHA256:
- 29242423d08507f50f25e200fe27cbb5b720381a03e298f4f03f55814569bccb
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