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
Joseph Catrambone
First import. Add ControlNetSD21 Laion Face (full, pruned, and safetensors). Add README and samples. Add surrounding tools for example use.
568dc2c Download samples_laion_face_dataset/happy_annotation.png from CrucibleAI/ControlNetMediaPipeFace: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/samples_laion_face_dataset/happy_annotation.png
- Command line
-
hf download hf://CrucibleAI/ControlNetMediaPipeFace@refs/pr/9/samples_laion_face_dataset/happy_annotation.png
-
curl -L -o happy_annotation.png https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/samples_laion_face_dataset/happy_annotation.png
3.52 kB

- Xet hash:
- 2144daac3d3420a35591622285879d88902cee991354323939d88027dbb73548
- Size of remote file:
- 3.52 kB
- SHA256:
- 7446a04147fc20ae2138a1622500bddd8a72836712fc2ae5a8fee1848aedefd0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.