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  ---
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  license: mit
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  tags:
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- - diffusion
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- - geolocalization
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  - model_hub_mixin
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  - plonk
 
 
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  - pytorch_model_hub_mixin
 
 
 
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  ---
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- This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
 
 
 
 
 
 
 
 
 
 
 
 
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  - Code: https://github.com/nicolas-dufour/plonk
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- - Paper: [More Information Needed]
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- - Docs: [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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  tags:
 
 
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  - model_hub_mixin
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  - plonk
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+ - geolocalization
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+ - diffusion
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  - pytorch_model_hub_mixin
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+ - iNaturalist
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+ - iNat
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+ - diffusion
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  ---
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+ This is a model of the approach described in the paper ["Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation"](https://arxiv.org/abs/2412.06781)
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+
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+ ```
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+ @misc{dufour2024world80timestepsgenerative,
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+ title={Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation},
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+ author={Nicolas Dufour and David Picard and Vicky Kalogeiton and Loic Landrieu},
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+ year={2024},
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+ eprint={2412.06781},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2412.06781},
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+ }
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+ ```
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  - Code: https://github.com/nicolas-dufour/plonk
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+ - Docs:
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+ The model can be simply run by doing:
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+ ```bash
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+ pip install diff-plonk
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+ ```
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+
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+ ```python
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+ from plonk import PLONKPipeline
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+
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+ pipeline = PLONKPipeline.from_pretrained("nicolas-dufour/PLONK_iNaturalist_diffusion")
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+
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+ gps_coords = pipeline(images, batch_size=1024)
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+ ```