Instructions to use ControlNet-1-1-preview/control_v11p_sd15_lineart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ControlNet-1-1-preview/control_v11p_sd15_lineart with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ControlNet-1-1-preview/control_v11p_sd15_lineart") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7da9ad36937b933d4ece859084acc7a3aada87bb5eb7acab4e951090219ce570
- Size of remote file:
- 723 MB
- SHA256:
- 4aaffceded3f8568279387ffeca14144795550fab30caac46ef231f3640f47bd
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