Instructions to use lllyasviel/sd-controlnet-openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/sd-controlnet-openpose with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-openpose") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d58a5348abbd47164ded7c21e9593338a95b883a18acca65880cae9e052423a7
- Size of remote file:
- 1.45 GB
- SHA256:
- a3ca16220ebd7220d37a67d68329b4290f2c72a854955fd35f84b97c85596e5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.