Instructions to use Jinstudio/sd-controlnet-openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/sd-controlnet-openpose with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jinstudio/sd-controlnet-openpose") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from Jinstudio/sd-controlnet-openpose: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/Jinstudio/sd-controlnet-openpose/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Jinstudio/sd-controlnet-openpose/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Jinstudio/sd-controlnet-openpose/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 8125b8b965e23a86e2d489c50a148132e478f6048dd72708879d07301fe41049
- Size of remote file:
- 1.45 GB
- SHA256:
- 4068293b5d0700d6fbb6f5144257ff649699177af2f9c30401e6191ed2222fd2
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