Instructions to use Jinstudio/control_v11p_sd15_mlsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/control_v11p_sd15_mlsd with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jinstudio/control_v11p_sd15_mlsd") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.fp16.bin from Jinstudio/control_v11p_sd15_mlsd: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/Jinstudio/control_v11p_sd15_mlsd/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Jinstudio/control_v11p_sd15_mlsd/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Jinstudio/control_v11p_sd15_mlsd/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- b408c134402a97d6c7c41c40cc7ddc9ec7568dacab8551a83910e5566e247a45
- Size of remote file:
- 723 MB
- SHA256:
- 6c226d3493b6f81f59336b38bc80db1c755ef4b42136dd2b6912b9f99be5d797
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