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README.md
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---
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---
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tags:
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- huggingnft
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- nft
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- huggan
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- gan
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- image
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- images
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task: unconditional-image-generation
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license: mit
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---
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# Hugging NFT: azuki
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## Disclaimer
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All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright
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holder.
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## Model description
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LightWeight GAN model for unconditional generation.
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NFT collection available [here](https://opensea.io/collection/azuki).
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Dataset is available [here](https://huggingface.co/datasets/huggingnft/azuki).
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Check Space: [link](https://huggingface.co/spaces/AlekseyKorshuk/huggingnft).
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Project repository: [link](https://github.com/AlekseyKorshuk/huggingnft).
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[](https://github.com/AlekseyKorshuk/huggingnft)
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## Intended uses & limitations
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#### How to use
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Check project repository: [link](https://github.com/AlekseyKorshuk/huggingnft).
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#### Limitations and bias
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Check project repository: [link](https://github.com/AlekseyKorshuk/huggingnft).
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## Training data
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Dataset is available [here](https://huggingface.co/datasets/huggingnft/azuki).
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## Training procedure
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Training script is available [here](https://github.com/AlekseyKorshuk/huggingnft).
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## Generated Images
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Check results with Space: [link](https://huggingface.co/spaces/AlekseyKorshuk/huggingnft).
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## About
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*Built by Aleksey Korshuk*
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[](https://github.com/AlekseyKorshuk)
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[](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
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[](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
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For more details, visit the project repository.
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[](https://github.com/AlekseyKorshuk/huggingnft)
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### BibTeX entry and citation info
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```bibtex
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@InProceedings{huggingnft,
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author={Aleksey Korshuk}
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year=2022
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}
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```
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