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
Rename files for consistency with other ControlNet networks. Start with 'control_...'. Make consistent with HF models, too, by not putting them into a 'models' subdirectory.
8c2871b Download control_mediapipe_face_sd21_v2_full.ckpt from CrucibleAI/ControlNetMediaPipeFace: direct link, hf CLI and curl.
- Browser
- Download file 9.59 GB
-
https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/control_mediapipe_face_sd21_v2_full.ckpt
- Command line
-
hf download hf://CrucibleAI/ControlNetMediaPipeFace@refs/pr/9/control_mediapipe_face_sd21_v2_full.ckpt
-
curl -L -o control_mediapipe_face_sd21_v2_full.ckpt https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/refs%2Fpr%2F9/control_mediapipe_face_sd21_v2_full.ckpt
9.59 GB
- Xet hash:
- 810fed4c9f5ab87a8cce85901994cce69ebc5166b6f00b0debc416b464d843c0
- Size of remote file:
- 9.59 GB
- SHA256:
- ef9ecdb1479a0ddf391d8f5388cd8bffbe27c772bf4c2e466d60feeb7c4bcf5a
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