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:
- 9bb74ab4cf363bb04344b6116897e4fda0923d8f3b2c1bb2046a1563426cc7db
- Size of remote file:
- 78.6 kB
- SHA256:
- 6da747495166b01a333cdb4b40617de19cced94566d75dfb1507e52407a2f5d3
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