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
- Draw Things
- DiffusionBee

- Xet hash:
- 430c0549c8ddadb7a0d651dc94e1cd767bedaded9e4e27f6716cc0c53dd27848
- Size of remote file:
- 1.07 MB
- SHA256:
- cad49fc7d3071b2bcd078bc8dde365f8fa62eaa6d43705fd50c212794a3aac35
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