Instructions to use ControlNet-1-1-preview/control_v11f1e_sd15_tile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ControlNet-1-1-preview/control_v11f1e_sd15_tile with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ControlNet-1-1-preview/control_v11f1e_sd15_tile") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download images/output.png from ControlNet-1-1-preview/control_v11f1e_sd15_tile: direct link, hf CLI and curl.
- Browser
- Download file 1.24 MB
-
https://huggingface.co/ControlNet-1-1-preview/control_v11f1e_sd15_tile/resolve/main/images/output.png
- Command line
-
hf download hf://ControlNet-1-1-preview/control_v11f1e_sd15_tile/images/output.png
-
curl -L -o output.png https://huggingface.co/ControlNet-1-1-preview/control_v11f1e_sd15_tile/resolve/main/images/output.png
1.24 MB

- Xet hash:
- 080c916add4b88b5f845ea2d19c953c355da3a17cd0ed17f81871ca870f32481
- Size of remote file:
- 1.24 MB
- SHA256:
- c6292356127d3985063fd790e7881922a1db00ec62ce3bae7f8e1db993af0c80
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