| --- |
| tags: |
| - huggingnft |
| - nft |
| - huggan |
| - gan |
| - image |
| - images |
| - unconditional-image-generation |
| datasets: |
| - huggingnft/frames |
| license: mit |
| --- |
| |
| # Hugging NFT: frames |
|
|
| ## 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 |
| holder. |
|
|
| ## Model description |
|
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| LightWeight GAN model for unconditional generation. |
|
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| NFT collection available [here](https://opensea.io/collection/frames). |
|
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| Dataset is available [here](https://huggingface.co/datasets/huggingnft/frames). |
|
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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). |
|
|
| [](https://github.com/AlekseyKorshuk/huggingnft) |
|
|
| ## Intended uses & limitations |
|
|
| #### 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). |
|
|
| ## Training data |
|
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| Dataset is available [here](https://huggingface.co/datasets/huggingnft/frames). |
|
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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). |
|
|
| ## About |
|
|
| *Built by Aleksey Korshuk* |
|
|
| [](https://github.com/AlekseyKorshuk) |
|
|
| [](https://twitter.com/intent/follow?screen_name=alekseykorshuk) |
|
|
| [](https://t.me/joinchat/_CQ04KjcJ-4yZTky) |
|
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| For more details, visit the project repository. |
|
|
| [](https://github.com/AlekseyKorshuk/huggingnft) |
|
|
| ### BibTeX entry and citation info |
|
|
| ```bibtex |
| @InProceedings{huggingnft, |
| author={Aleksey Korshuk} |
| year=2022 |
| } |
| ``` |
|
|