Instructions to use XLabs-AI/flux-controlnet-canny-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-canny-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("XLabs-AI/flux-controlnet-canny-diffusers") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download canny_result.png from XLabs-AI/flux-controlnet-canny-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.41 MB
-
https://huggingface.co/XLabs-AI/flux-controlnet-canny-diffusers/resolve/main/canny_result.png
- Command line
-
hf download hf://XLabs-AI/flux-controlnet-canny-diffusers/canny_result.png
-
curl -L -o canny_result.png https://huggingface.co/XLabs-AI/flux-controlnet-canny-diffusers/resolve/main/canny_result.png
1.41 MB

- Xet hash:
- ab07f65c000c797781bc8b93f3a950ab9d91d4e1b6ef533dc553a6310127c221
- Size of remote file:
- 1.41 MB
- SHA256:
- 83ac5d1a85fb6e2fba702dba93177b48a6470476b057e31f3892a8322b043955
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