Instructions to use lllyasviel/sd-controlnet-canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/sd-controlnet-canny with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbd6c98ecac101ec88ba1663003837fa8d9a5320ad329725fbe76cd30233c82d
- Size of remote file:
- 1.45 GB
- SHA256:
- 7cb537554d12b11be786659c1ede103b4d74b7743382d7ad96283f52c30dd91e
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