Text-to-Image
Diffusers
PyTorch
Safetensors
StableDiffusionControlNetPipeline
art
controlnet
stable-diffusion
Instructions to use kmcgrath/sd-controlnet-canny-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmcgrath/sd-controlnet-canny-fork with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("kmcgrath/sd-controlnet-canny-fork") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c2bc67cab114fb74d7559588c4a60349606742dd1e410c07ce8cdc0221279b6d
- Size of remote file:
- 335 MB
- SHA256:
- 1b134cded8eb78b184aefb8805b6b572f36fa77b255c483665dda931fa0130c5
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