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This series of underwater images were produced by the collaboration of two generative neural networks: one that was trained on flames, and another that was trained on underwater images. Utilizing the structure of neural nets, it is possible to merge these two different models. In this series you can see what an artificial intelligence thinks a fire underwater would feel like.

size: 1024x1024

where sirens play collection image

soft and swooshing visuals of where AI imagines sirens live.

Combined, using the power of AI, are two generative models trained on underwater and flame images. The effect was sometimes soft, sometimes fiery, songlike apparitions.

Only 80 1/1 visuals.

コントラクトのアドレス0x2953...4963
トヌクン ID
トヌクン暙準ERC-1155
チェヌンPolygon
メタデヌタ集䞭
クリ゚むタヌ収益
10%

Fire underwater #8

visibility
14 閲芧回数
  • 䟡栌
    米ドル䟡栌
    数量
    有効期限
    送信元
  • 䟡栌
    米ドル䟡栌
    数量
    最䜎䟡栌差
    有効期限
    送信元
keyboard_arrow_down
むベント
䟡栌
開始日
終了日
日付

Fire underwater #8

visibility
14 閲芧回数
  • 䟡栌
    米ドル䟡栌
    数量
    有効期限
    送信元
  • 䟡栌
    米ドル䟡栌
    数量
    最䜎䟡栌差
    有効期限
    送信元

This series of underwater images were produced by the collaboration of two generative neural networks: one that was trained on flames, and another that was trained on underwater images. Utilizing the structure of neural nets, it is possible to merge these two different models. In this series you can see what an artificial intelligence thinks a fire underwater would feel like.

size: 1024x1024

where sirens play collection image

soft and swooshing visuals of where AI imagines sirens live.

Combined, using the power of AI, are two generative models trained on underwater and flame images. The effect was sometimes soft, sometimes fiery, songlike apparitions.

Only 80 1/1 visuals.

コントラクトのアドレス0x2953...4963
トヌクン ID
トヌクン暙準ERC-1155
チェヌンPolygon
メタデヌタ集䞭
クリ゚むタヌ収益
10%
keyboard_arrow_down
むベント
䟡栌
開始日
終了日
日付