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
- Xet hash:
- 2c79f3dee1053c80741f2e2a39335fbb55359150099d07a84a2197c5d853b69a
- Size of remote file:
- 8.61 GB
- SHA256:
- 5f2608a8af55f223250398e04e3c497aa194ddbcb70049f556194c4a2d333865
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