Instructions to use lllyasviel/control_v11p_sd15_softedge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/control_v11p_sd15_softedge with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_softedge") 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_softedge: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/lllyasviel/control_v11p_sd15_softedge/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lllyasviel/control_v11p_sd15_softedge/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lllyasviel/control_v11p_sd15_softedge/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 9169f46fe65a4e9382001e035a934e09802f8419418d14bad3bbeef25c76a72d
- Size of remote file:
- 1.45 GB
- SHA256:
- 5ac6f4c398780b71a0a77a6ae891271606f359caf04d21f475a22866647dbb00
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