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.fp16.bin from Jinstudio/control_v11e_sd15_shuffle: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/Jinstudio/control_v11e_sd15_shuffle/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Jinstudio/control_v11e_sd15_shuffle/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Jinstudio/control_v11e_sd15_shuffle/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 07d088519ec7c6076dc47d5df60ffd38b3a6dd5eb7c218f5e6ba6a1445b9c368
- Size of remote file:
- 723 MB
- SHA256:
- 650e8a2cb53010cfd102e04cccf3c9de9c2136b18e5ac18028a0f633eeddb95b
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