Commit
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Add model
Browse files- README.md +77 -0
- config.json +1 -0
- model.pt +3 -0
README.md
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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: nftrex
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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/nftrex).
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Dataset is available [here](https://huggingface.co/datasets/huggingnft/nftrex).
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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/nftrex).
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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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config.json
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{"latent_dim": 256, "image_size": 1024, "optimizer": "adam", "fmap_max": 512, "fmap_inverse_coef": 12, "transparent": false, "greyscale": false, "disc_output_size": 1, "attn_res_layers": [32], "freq_chan_attn": false, "ttur_mult": 1.0, "lr": 0.0002}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:30922ef4415f4bff766119f1a927bed1dc0357bd5fcdd78d37bc914bdd6391cc
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size 154637143
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