Instructions to use Liam2333/control_v11p_sd15_openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Liam2333/control_v11p_sd15_openpose with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Liam2333/control_v11p_sd15_openpose") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download images/image_out.png from Liam2333/control_v11p_sd15_openpose: direct link, hf CLI and curl.
- Browser
- Download file 655 kB
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https://huggingface.co/Liam2333/control_v11p_sd15_openpose/resolve/main/images/image_out.png
- Command line
-
hf download hf://Liam2333/control_v11p_sd15_openpose/images/image_out.png
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curl -L -o image_out.png https://huggingface.co/Liam2333/control_v11p_sd15_openpose/resolve/main/images/image_out.png
655 kB
