Instructions to use xinsir/controlnet-openpose-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xinsir/controlnet-openpose-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("xinsir/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
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README.md
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license: apache-2.0
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# ***State of the art ControlNet-openpose-sdxl-1.0 model, not limited to anime, just for show***
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| mAP | **0.357** | 0.326 | 0.209 |
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We are the SOTA openpose model compared with other opensource models.
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license: apache-2.0
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tags:
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- openpose
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- controlnet
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- diffusers
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- controlnet-openpose-sdxl-1.0
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- text_to_image
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# ***State of the art ControlNet-openpose-sdxl-1.0 model, not limited to anime, just for show***
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| mAP | **0.357** | 0.326 | 0.209 |
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We are the SOTA openpose model compared with other opensource models.
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