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
Download sd.png from kmcgrath/sd-controlnet-canny-fork: direct link, hf CLI and curl.
- Browser
- Download file 59.5 kB
-
https://huggingface.co/kmcgrath/sd-controlnet-canny-fork/resolve/main/sd.png
- Command line
-
hf download hf://kmcgrath/sd-controlnet-canny-fork/sd.png
-
curl -L -o sd.png https://huggingface.co/kmcgrath/sd-controlnet-canny-fork/resolve/main/sd.png
59.5 kB
