Image-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
controlnet
remote-sensing
openstreetmap
Instructions to use BiliSakura/controlearth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/controlearth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("BiliSakura/controlearth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download unet/diffusion_pytorch_model.bin from BiliSakura/controlearth: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/BiliSakura/controlearth/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://BiliSakura/controlearth/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/BiliSakura/controlearth/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 34f68a728a5c3d0d1066e80e206980b1f6dc94738a8b5917cdcc9dc5a947a31f
- Size of remote file:
- 3.44 GB
- SHA256:
- c7da0e21ba7ea50637bee26e81c220844defdf01aafca02b2c42ecdadb813de4
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