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:
- f8d81f1a05cb46b466fcad8607b561a0c958faf94e5bc241dc29260bd5f21ddb
- Size of remote file:
- 2.8 MB
- SHA256:
- aac207c23a56aed7bc1df3ae780d0e85691031195f0fcd4c6869c3759b508d7c
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