huggingnft/nftrex
Unconditional Image Generation
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image
imagewidth (px) 384
512
| id
int64 18.5M
245M
| token_metadata
null | image_original_url
null |
---|---|---|---|
244,285,305 | null | null |
|
243,823,451 | null | null |
|
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|
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|
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|
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|
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|
244,750,890 | null | null |
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|
243,818,625 | null | null |
|
243,792,904 | null | null |
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244,491,825 | null | null |
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244,479,729 | null | null |
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243,755,765 | null | null |
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243,798,167 | null | null |
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244,067,919 | null | null |
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19,261,289 | null | null |
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244,474,624 | null | null |
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244,712,462 | null | null |
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244,627,957 | null | null |
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244,684,152 | null | null |
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244,277,879 | null | null |
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244,023,464 | null | null |
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243,869,852 | null | null |
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244,669,612 | null | null |
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244,320,229 | null | null |
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244,062,666 | null | null |
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244,775,160 | null | null |
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244,130,474 | null | null |
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243,680,046 | null | null |
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244,138,846 | null | null |
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244,178,528 | null | null |
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244,072,980 | null | null |
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244,544,084 | null | null |
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244,640,503 | null | null |
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244,126,002 | null | null |
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244,659,691 | null | null |
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244,675,459 | null | null |
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243,635,000 | null | null |
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244,395,276 | null | null |
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243,636,476 | null | null |
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244,119,006 | null | null |
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244,496,035 | null | null |
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244,037,797 | null | null |
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244,349,243 | null | null |
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243,968,707 | null | null |
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244,518,660 | null | null |
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243,888,192 | null | null |
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243,812,467 | null | null |
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243,835,195 | null | null |
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244,736,388 | null | null |
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244,729,982 | null | null |
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244,042,890 | null | null |
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244,046,775 | null | null |
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243,986,300 | null | null |
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244,197,928 | null | null |
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244,280,417 | null | null |
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244,579,101 | null | null |
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244,049,463 | null | null |
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244,699,588 | null | null |
All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder.
NFT images dataset for unconditional generation.
NFT collection available here.
Model is available here.
Check Space: link.
How to load this dataset directly with the datasets library:
from datasets import load_dataset
dataset = load_dataset("huggingnft/nftrex")
The data fields are the same among all splits.
image
: an image
feature.id
: an int
feature.token_metadata
: a str
feature.image_original_url
: a str
feature.@InProceedings{huggingnft,
author={Aleksey Korshuk}
year=2022
}
Built by Aleksey Korshuk
For more details, visit the project repository.