Instructions to use zzzyuqing/light-geo-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zzzyuqing/light-geo-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("zzzyuqing/light-geo-controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download assets/teaser.png from zzzyuqing/light-geo-controlnet: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/zzzyuqing/light-geo-controlnet/resolve/main/assets/teaser.png
- Command line
-
hf download hf://zzzyuqing/light-geo-controlnet/assets/teaser.png
-
curl -L -o teaser.png https://huggingface.co/zzzyuqing/light-geo-controlnet/resolve/main/assets/teaser.png
1.16 MB

- Xet hash:
- d72c196e698cdae319857fe188f6320a5f416cdb935cfd4136a7daaeb1dace7f
- Size of remote file:
- 1.16 MB
- SHA256:
- 3c174666944a045f619432a24b605aafe54f40889fd982f2b13f6d3be3da55f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.