Instructions to use Aoki12/controlnet-openpose-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aoki12/controlnet-openpose-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Aoki12/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 masonry0.webp from Aoki12/controlnet-openpose-sdxl-1.0: direct link, hf CLI and curl.
- Browser
- Download file 2.01 MB
-
https://huggingface.co/Aoki12/controlnet-openpose-sdxl-1.0/resolve/main/masonry0.webp
- Command line
-
hf download hf://Aoki12/controlnet-openpose-sdxl-1.0/masonry0.webp
-
curl -L -o masonry0.webp https://huggingface.co/Aoki12/controlnet-openpose-sdxl-1.0/resolve/main/masonry0.webp
2.01 MB

- Xet hash:
- d4b3364eeb15157119f0f025957c758a5736ffa40eb4ff204cb5b12e53f74b6e
- Size of remote file:
- 2.01 MB
- SHA256:
- 69984038028960eef77fc195ec81568b8803b0ee4371e089bc85e083d914745e
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