Instructions to use lllyasviel/control_v11p_sd15_lineart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/control_v11p_sd15_lineart with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_lineart") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from lllyasviel/control_v11p_sd15_lineart: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/lllyasviel/control_v11p_sd15_lineart/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lllyasviel/control_v11p_sd15_lineart/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lllyasviel/control_v11p_sd15_lineart/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 753747a07b94b5e801f903856e85ae7916028af1387ebecdf05b748438e13f23
- Size of remote file:
- 1.45 GB
- SHA256:
- 3529c7c9b26208359cb2d68a336c5d7215eb856ac041e55de68240a72ef0a584
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