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Elements is a collection inspired by the visual components of art including color, form, line, shape, space, texture, and value. Machine learning was used to build a library for every component separately, and then they were combined in different ways to create each unique work. While properties are assigned to each piece of art in the metadata, the aesthetic value must be assessed by you.

Elements by WetPotatoBrain collection image

Elements is a collection inspired by the visual components of art including color, form, line, shape, space, texture, and value. Machine learning was used to build a library for every component separately, and then they were combined in different ways to create each unique work. While properties are assigned to each piece of art in the metadata, the aesthetic value must be assessed by you. [Original collection date July 2022, contract 0xf873581B3c3E840e24C55024e8E9bE865F94Dc27. These Elements v2 tokens transferred the artwork from a vulnerable to a secure contract in Dec 2023]

Categoría Art
Dirección del contrato0x8421...4ca0
ID del token82
Estándar de tokenERC-721
CadenaEthereum
Última actualizaciónHace 6 meses
Ganancias del creador
10%

Elements 454

#
149
  • Precio
    Precio en USD
    Cantidad
    Vencimiento
    De
  • Precio
    Precio en USD
    Cantidad
    Diferencia de suelo
    Vencimiento
    De
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Elements 454

#
149
  • Precio
    Precio en USD
    Cantidad
    Vencimiento
    De
  • Precio
    Precio en USD
    Cantidad
    Diferencia de suelo
    Vencimiento
    De

Elements is a collection inspired by the visual components of art including color, form, line, shape, space, texture, and value. Machine learning was used to build a library for every component separately, and then they were combined in different ways to create each unique work. While properties are assigned to each piece of art in the metadata, the aesthetic value must be assessed by you.

Elements by WetPotatoBrain collection image

Elements is a collection inspired by the visual components of art including color, form, line, shape, space, texture, and value. Machine learning was used to build a library for every component separately, and then they were combined in different ways to create each unique work. While properties are assigned to each piece of art in the metadata, the aesthetic value must be assessed by you. [Original collection date July 2022, contract 0xf873581B3c3E840e24C55024e8E9bE865F94Dc27. These Elements v2 tokens transferred the artwork from a vulnerable to a secure contract in Dec 2023]

Categoría Art
Dirección del contrato0x8421...4ca0
ID del token82
Estándar de tokenERC-721
CadenaEthereum
Última actualizaciónHace 6 meses
Ganancias del creador
10%
keyboard_arrow_down
Evento
Precio
De
Para
Fecha