Instructions to use tommycik/ControlNetCannyNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlNetCannyNew with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetCannyNew") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- af09271c43e156eb39120c97665fddde4495377e80eef9c50866731e44cc5481
- Size of remote file:
- 7.17 GB
- SHA256:
- 9bdd1288fd779f6377ff9b7ccf2d88de09f2df6869255a29459ad2f3f7ce94d8
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