Instructions to use diffusers/controlnet-canny-sdxl-1.0-mid 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-mid with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-canny-sdxl-1.0-mid") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download cann-medium-megatron.png from diffusers/controlnet-canny-sdxl-1.0-mid: direct link, hf CLI and curl.
- Browser
- Download file 4.34 MB
-
https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0-mid/resolve/main/cann-medium-megatron.png
- Command line
-
hf download hf://diffusers/controlnet-canny-sdxl-1.0-mid/cann-medium-megatron.png
-
curl -L -o cann-medium-megatron.png https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0-mid/resolve/main/cann-medium-megatron.png
4.34 MB

- Xet hash:
- 0efb050bfc14ef49ab210fb2d9eae8444cc8d30e14470d96886a0a68fbbc1401
- Size of remote file:
- 4.34 MB
- SHA256:
- 9d9cf0d931c7fda4f57f51a8bd7ccd81880e819bf595320a6eeef2cd097ef24d
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