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
- Xet hash:
- 51d6f2ef5d557792de2f913117dc741213524d0449bb7bc81db669febc102864
- Size of remote file:
- 728 MB
- SHA256:
- 02b3a8e04154b4c3d11f5210217f0dbf3fac8612d62d015cd059f2b9fe4c3364
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