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.safetensors from CrucibleAI/ControlNetMediaPipeFace: direct link, hf CLI and curl.
- Browser
- Download file 728 MB
-
https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://CrucibleAI/ControlNetMediaPipeFace@refs/pr/9/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/diffusion_pytorch_model.fp16.safetensors
728 MB
- Xet hash:
- 51d6f2ef5d557792de2f913117dc741213524d0449bb7bc81db669febc102864
- Size of remote file:
- 728 MB
- SHA256:
- 02b3a8e04154b4c3d11f5210217f0dbf3fac8612d62d015cd059f2b9fe4c3364
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