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:
- f9141ab9c471569813bd67e1e46fb880d9f9fd945dbc0275b1fb283c6e5da980
- Size of remote file:
- 666 kB
- SHA256:
- 6d60e9e1dcb8494a411a95917fe368d468110650c06c11baf566a704950eb4e9
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