Instructions to use yangrf/controlnet-openpose-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yangrf/controlnet-openpose-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("yangrf/controlnet-openpose-sdxl-1.0") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download masonry_real.webp from yangrf/controlnet-openpose-sdxl-1.0: direct link, hf CLI and curl.
- Browser
- Download file 2.04 MB
-
https://huggingface.co/yangrf/controlnet-openpose-sdxl-1.0/resolve/main/masonry_real.webp
- Command line
-
hf download hf://yangrf/controlnet-openpose-sdxl-1.0/masonry_real.webp
-
curl -L -o masonry_real.webp https://huggingface.co/yangrf/controlnet-openpose-sdxl-1.0/resolve/main/masonry_real.webp
2.04 MB

- Xet hash:
- adf1e72e8fe919ba14e46c3b38a21bc78dd780d20a75c61576c74fb9214528b0
- Size of remote file:
- 2.04 MB
- SHA256:
- e1467a55d77df5b897e6aeb71b6bad5484bbf10802a8ebeb2f5fb42d41523f7d
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