README.md

---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task: 
- unconditional-image-generation
datasets:
- huggingnft/etherbears
license: mit
---

# Hugging NFT: etherbears

## Disclaimer

All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright
holder.

## Model description

LightWeight GAN model for unconditional generation.

NFT collection available [here](https://opensea.io/collection/etherbears).

Dataset is available [here](https://huggingface.co/datasets/huggingnft/etherbears).

Check Space: [link](https://huggingface.co/spaces/AlekseyKorshuk/huggingnft).

Project repository: [link](https://github.com/AlekseyKorshuk/huggingnft).

[![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingnft?style=social)](https://github.com/AlekseyKorshuk/huggingnft)

## Intended uses & limitations

#### How to use

Check project repository: [link](https://github.com/AlekseyKorshuk/huggingnft).

#### Limitations and bias

Check project repository: [link](https://github.com/AlekseyKorshuk/huggingnft).

## Training data

Dataset is available [here](https://huggingface.co/datasets/huggingnft/etherbears).

## Training procedure

Training script is available [here](https://github.com/AlekseyKorshuk/huggingnft).

## Generated Images

Check results with Space: [link](https://huggingface.co/spaces/AlekseyKorshuk/huggingnft).

## About

*Built by Aleksey Korshuk*

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For more details, visit the project repository.

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### BibTeX entry and citation info

```bibtex
@InProceedings{huggingnft,
    author={Aleksey Korshuk}
    year=2022
}
```