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:
- 8a56cae941e73fa8cde43dfed16a5332230505a4bda8e93e53c9c0522b480be8
- Size of remote file:
- 1.46 GB
- SHA256:
- 36dcd318d499df44b35432599a1b70f598e7bb42b479e4e67d4adf7b7e87e87d
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