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 diffusion_pytorch_model.bin from zzzyuqing/light-geo-controlnet: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/zzzyuqing/light-geo-controlnet/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://zzzyuqing/light-geo-controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/zzzyuqing/light-geo-controlnet/resolve/main/diffusion_pytorch_model.bin
1.46 GB
- Xet hash:
- aaca39bc99a4e9e0b8cf00f13e781204dc1eeb0e4b26d3080b31f9d0d6544c77
- Size of remote file:
- 1.46 GB
- SHA256:
- 365f2c3679ab616818c656dbcb8a39313f637aa32e7d7a227f7b34b4f761ba41
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