Instructions to use lllyasviel/control_v11p_sd15_canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/control_v11p_sd15_canny with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_canny") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6eca3a99f71ff870669572d90533efb6c8aab05410fa270baca2166a452cdbe
- Size of remote file:
- 723 MB
- SHA256:
- 6b80be83ccaf52d8d0c136323e88befe73994d7d416e534f410e46e3ed2cab9b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.