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.safetensors from ControlNet-1-1-preview/control_v11p_sd15_lineart: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/ControlNet-1-1-preview/control_v11p_sd15_lineart/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://ControlNet-1-1-preview/control_v11p_sd15_lineart/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/ControlNet-1-1-preview/control_v11p_sd15_lineart/resolve/main/diffusion_pytorch_model.safetensors
1.45 GB
- Xet hash:
- e977842102311916502f315112017d86870fefd176cdf72367328f34c82306ae
- Size of remote file:
- 1.45 GB
- SHA256:
- d9d6d0e5526dd21dfc503f9e42a93ff1f977aa52df3c14e8ac11085b518cb114
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