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
Download diffusion_pytorch_model.fp16.bin from ControlNet-1-1-preview/control_v11p_sd15_lineart: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/ControlNet-1-1-preview/control_v11p_sd15_lineart/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://ControlNet-1-1-preview/control_v11p_sd15_lineart/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/ControlNet-1-1-preview/control_v11p_sd15_lineart/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 7da9ad36937b933d4ece859084acc7a3aada87bb5eb7acab4e951090219ce570
- Size of remote file:
- 723 MB
- SHA256:
- 4aaffceded3f8568279387ffeca14144795550fab30caac46ef231f3640f47bd
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