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The Visual Code #23

by kulesh

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The Visual Code is a collection of generative art that celebrates the jazzy, dynamic visuals inspired by Wassily Kandinsky, Jackson Pollock, Kazimir Malevich, Joan Miro and The Dave Brubeck Quartet's music.

Each piece uniquely expresses the artist's creativity and technical skill, showcasing the beauty and complexity of computer-generated visuals.

As a codegen artist, I am constantly in awe of the boundless potential of generative art. The ability to create unique, one-of-a-kind pieces using code is truly fascinating to me.

Generative art allows for a level of artistic expression that is simply not possible with traditional mediums. Using algorithms and mathematical principles allows for creating complex, dynamic visuals that are constantly evolving and changing.

What I find particularly interesting about generative art is its focus on the creation process. Rather than simply producing a static, finished product, the artist is more concerned with the journey and the process of creating the art. This allows for experimentation and exploration that is impossible in more traditional forms of art.

In my own work, I strive to push the boundaries of generative art and explore new possibilities. I constantly experiment with different algorithms and techniques to create something new and unique.

I am excited to continue learning and growing as an artist and to see where my passion for generative art will take me.

The collection is a tribute to the art of coding and its endless possibilities for artistic expression. From mesmerizing geometric patterns to pulsating colour fields, each piece in the collection is a testament to the endless potential of code as a medium for artistic creation.

Previous collectors are automatically on the reserve list for this exclusive collection. This is a rare opportunity to own a piece of generative art that captures the imagination and celebrates the beauty of code.

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Price history

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2022-12-19Mint1 tezfxhash issuer v2
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Traits

Invert
false33 of 61 indexed editions · 54%
Blue
false52 of 61 indexed editions · 85%
Monochrome
false37 of 61 indexed editions · 61%