Instructions to use Jinstudio/control_v11p_sd15_normalbae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/control_v11p_sd15_normalbae with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jinstudio/control_v11p_sd15_normalbae") 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_normalbae: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/Jinstudio/control_v11p_sd15_normalbae/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Jinstudio/control_v11p_sd15_normalbae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Jinstudio/control_v11p_sd15_normalbae/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 7d4a9f42ae224ef854d34953c229587928c60927603bbe30135a66ad94500652
- Size of remote file:
- 723 MB
- SHA256:
- 59d8f00ec84a853f9350f6744b0a04ff40a7629a772671323890cf1a66dd09fd
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