Omar Lobato

Code, texture, and the unstable surface

Omar Lobato approaches the browser as a studio and code as a material. His generative works test how programmed rules can produce painterly uncertainty.

Raster
raster.art/artist/omar-lobato ↗
Practice
Browser-based generative art focused on abstraction, texture, deterministic variation, and the visual possibilities of p5.js.
In the set
Stains on a Canvas ↗ · 300 editions
Links
Full bibliography ↗

Omar Lobato is a programmer, digital artist, and music producer whose practice centers on generative art.1 His development followed a route through web programming, cybersecurity, music, and sustained experimentation with creative coding.2 This interdisciplinary background matters because Lobato does not use code merely to accelerate image production. Code establishes the conditions through which visual decisions are distributed across a family of related but distinct outcomes.

His work became visible within the open generative-art culture surrounding fxhash. A 2022 profile describes his use of p5.js and Hydra, his preference for abstraction, and the elaborate textures of odium.1 The fxhash model provides a useful context for this practice: artists publish code-based generators, while collectors acquire individual outputs created through seeded variation.3 Lobato uses that framework to reconcile repetition with difference and systematic construction with surfaces that appear stained, rubbed, or weathered.

Painting after the program

Stains on a Canvas is Lobato’s AB[500] work. The official Art Blocks collection record dates its release to October 14, 2022 and identifies exactly 300 unique artworks.4 Its title establishes painting as both a reference and a problem. Each output resembles an accumulated field rather than a clean technical diagram, although its marks originate in a repeatable computational process. The collection asks how texture, density, overlap, and color can make an algorithmic image feel materially worked.

The series belongs to a broader history in which artists define constraints and relinquish control over particular outcomes. The Toledo Museum of Art describes generative art as the creation of systems whose rules produce multiple variations, sometimes yielding unexpected results.5 Curator Julia Kaganskiy further situates such work within a negotiation between chance and control, intention and emergence, and authorship and automation.6 Lobato’s contribution is distinguished by its attention to the image surface. Instead of foregrounding geometric order, the works allow structure to recede beneath mottled color, granular edges, and passages that evoke absorption or abrasion.

Texture, chance, and continuity

The six examples show how a single generator can sustain a recognizable vocabulary without collapsing into a template. Color relationships shift, compositional weight migrates, and layered marks alternately cohere and disperse. The relevant unit is not only the solitary image but also the interval between outputs. Each edition clarifies what the system preserves and what it permits to change.

This balance is characteristic of deterministic generative systems. Pseudorandom processes introduce variety, while a stable seed permits a particular result to be regenerated.3 Browser-based practice also brings technical conditions. fxhash documentation identifies HTML Canvas as a principal technology for creating browser-rendered generative graphics.7 Its library guidance identifies p5.js as a widely used creative-coding library and requires external libraries to be bundled with a project, supporting self-contained execution.8

Lobato has extended this visual language across platforms. A 2024 Genify interview traces his movement from technical work and music toward the generative project Ghost.2 Sotheby’s subsequently offered the unique GHOST #1 in its December 2024 Digital Art Day Auction. The catalogue describes noise algorithms and shaders used to form monochromatic corridors, structures, and ambiguous landscapes.9 An fxhash iteration record for Disruptor- #21 also preserves Lobato’s earlier platform authorship under the name omarlobato.10

Stains on a Canvas makes variation visible as a form of material thinking.

Within AB[500], Lobato’s 300-edition collection presents a compact argument. Code establishes the conditions, the mint identifies an output, and texture gives that output perceptual depth. The result is painting reconsidered through rules, seeds, and executable form.

AB[500] x 1 Stains on a Canvas · 300 editions Generative art p5.js Art Blocks Factory Texture studies

Bibliography

The references cited in this essay are listed below. For the complete bibliography see the Omar Lobato links page ↗.

References

  1. A 2022 profile identifies Lobato as a programmer, digital artist, and music producer and discusses his p5.js, Hydra, and fxhash practice. fxOpen profile
  2. Genify’s 2024 interview traces Lobato’s development through web programming, cybersecurity, music, and generative art. Genify interview
  3. fxhash documentation explains generative tokens, pseudorandom number generators, seeds, and deterministic outputs. fxhash mechanics
  4. The official Art Blocks collection record gives the October 14, 2022 release date and total of 300 unique artworks. Art Blocks collection
  5. The Toledo Museum of Art defines generative art through rule-based systems, constrained variation, and partially relinquished control. Toledo Museum exhibition
  6. Julia Kaganskiy’s institutional essay examines how generative artists negotiate chance, control, emergence, intention, and automation. curatorial essay
  7. fxhash documentation outlines HTML Canvas and SVG as technologies for browser-rendered generative art. browser guide
  8. fxhash documentation identifies p5.js as a popular creative-coding library and explains self-contained library bundling. library guide
  9. Sotheby’s catalogue documents GHOST #1, its 2024 execution, and its use of noise algorithms and shaders. Sotheby’s catalogue
  10. An fxhash iteration page attributes Disruptor- #21 to omarlobato. fxhash archive

Cite: AB5D, “Omar Lobato”, AB[500] artist dossier, ab5d.xyz, 2026 · ab5d.xyz/artists/omar-lobato/

Authored by gpt-5.6-sol (AB5D structured pipeline) · supervised · ~114K input / 4K output tokens · 15 sources verified · 2026-07-11