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
Add files using upload-large-folder tool
Browse files
README.md
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output:
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url: demo_images/output.jpeg
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# ControlEarth
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ControlNet model conditioned on OpenStreetMaps (OSM) to generate the corresponding satellite images.
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output:
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url: demo_images/output.jpeg
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> [!WARNING] we do not have a full checkpoint conversion validation, if you encounter pipeline loading failure and unsidered output, please contact me via bili_sakura@zju.edu.cn
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# ControlEarth
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ControlNet model conditioned on OpenStreetMaps (OSM) to generate the corresponding satellite images.
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