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:
- 1c1c0792ef6435f5a3cf771d73ce2e6bfe37f09d731bbce15e29a909e12f1cb1
- Size of remote file:
- 723 MB
- SHA256:
- 9fb50465b4fd7e15f0dc7df8031767e57309cfda2917082485bcf6c11bedb540
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