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:
- c9d0f8f1d429de26c06d80d9f3952a407d963543970f6c8532917e6f6c99cffb
- Size of remote file:
- 1.45 GB
- SHA256:
- e5220c53e942eb3bbe08a92e58e7ea789be44590172103d757dba29d732772b2
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