Instructions to use stabilityai/stable-diffusion-3.5-large-controlnet-canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3.5-large-controlnet-canny with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("stabilityai/stable-diffusion-3.5-large-controlnet-canny") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_cond.png from stabilityai/stable-diffusion-3.5-large-controlnet-canny: direct link, hf CLI and curl.
- Browser
- Download file 133 kB
-
https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-canny/resolve/main/sample_cond.png
- Command line
-
hf download hf://stabilityai/stable-diffusion-3.5-large-controlnet-canny/sample_cond.png
-
curl -L -o sample_cond.png https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-canny/resolve/main/sample_cond.png
133 kB

- Xet hash:
- 58fe3fae2d29d4854ba89ad0622f0d3ef3a7c7ff4a2f4855550d5680fd7c4809
- Size of remote file:
- 133 kB
- SHA256:
- 758f10281be132c4b6a4f25e54c19c08f5eb0f15238b08a4ed6fd759fa67d73d
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