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:
- b392cdb7583c37406c7758714d8d76da9bd5a0615adf472e66f517dfd29caf25
- Size of remote file:
- 1.45 GB
- SHA256:
- 2f2ccead3a8c0b9fbf9cad7b8eaa29834983ced916c766a92fb84db34ff29e43
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