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.fp16.bin from lllyasviel/control_v11p_sd15_softedge: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/lllyasviel/control_v11p_sd15_softedge/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://lllyasviel/control_v11p_sd15_softedge/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/lllyasviel/control_v11p_sd15_softedge/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 40c3deb4a8cca6e856abb3c0fc9b4e71dbbf6239fee1ae25eb8f84e6fb3c592f
- Size of remote file:
- 723 MB
- SHA256:
- fd1da70d842e09deb8c65daa4c70e3c7e3e42d75f6e739650076ee54b67a041b
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