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
Dumb question here*
#2
by Froztby - opened
How well does it work with anime faces?
how to install this???
How well does it work with anime faces?
How well does it detect anime faces? Or how well does it work at generating them? For detection, it uses MediaPipe's facemesh, so it's a little touch-and-go. Not amazing at detecting them. For generation, it leans on StableDiffusion, so it should work fine there.
how to install this???
We have PR open in sd-webui-controlnet: https://github.com/Mikubill/sd-webui-controlnet/pull/688 On approval, we'll have it merged there. I'm thinking I might need to put together a Gradio instance, too.
JosephCatrambone changed discussion status to closed