Instructions to use Jinstudio/control_v11e_sd15_shuffle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/control_v11e_sd15_shuffle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jinstudio/control_v11e_sd15_shuffle") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from Jinstudio/control_v11e_sd15_shuffle: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/Jinstudio/control_v11e_sd15_shuffle/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Jinstudio/control_v11e_sd15_shuffle/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Jinstudio/control_v11e_sd15_shuffle/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 57815bb4e2619e444fb0e23bd08a5e6b168e3480562866a64980630570b6a376
- Size of remote file:
- 1.45 GB
- SHA256:
- 6b8beff1b02dd53dc3b6506e88e2268e98e033e9e235548bbea57711abb6768f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.