Instructions to use diffusers/controlnet-canny-sdxl-1.0-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/controlnet-canny-sdxl-1.0-small with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-canny-sdxl-1.0-small") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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@@ -115,4 +115,6 @@ encourage the community to try and conduct distillation too, where the smaller C
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a bigger ControlNet model. This resource might be of help in [this regard](https://huggingface.co/blog/sd_distillation).
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* It does not have any attention blocks.
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* It is better suited for simple conditioning images. For conditionings involving more complex structures, you
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should use the bigger checkpoints.
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a bigger ControlNet model. This resource might be of help in [this regard](https://huggingface.co/blog/sd_distillation).
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* It does not have any attention blocks.
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* It is better suited for simple conditioning images. For conditionings involving more complex structures, you
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should use the bigger checkpoints.
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* We recommend playing around with the `controlnet_conditioning_scale` and `guidance_scale` arguments for potentially better
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image generation quality.
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