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.fp16.bin from BiliSakura/controlearth: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/BiliSakura/controlearth/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://BiliSakura/controlearth/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/BiliSakura/controlearth/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 2631fe649dfc6a60c4581f53f4025ccbedac70f498df3c16d469ccb0dc94671d
- Size of remote file:
- 1.72 GB
- SHA256:
- 30eb3dc47c90e4a55476332b284b2331774c530edbbb83b70cacdd9e7b91af92
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