algorithmic-art

Reproducible generative art is created by encoding an algorithmic philosophy into p5.js and exposing seed-based randomness, ensuring specific visual outputs remain identical across multiple renders for exact replication of flow fields and particle systems.

Seeded randomness in procedural generation uses a fixed initial value to drive pseudo-random number generation, guaranteeing that the same input seed produces the exact same visual output every time the algorithm runs.

Interactive parameter controls are built by embedding UI elements within a self-contained HTML artifact, allowing real-time adjustments to variables like particle count, flow speed, noise scale, and color palettes.

Yes, you can explore flow field variations across different color palettes by using the provided UI controls and seed-navigation features to adjust parameters and generate unique aesthetic outputs from the same underlying algorithm.

Yes, the approach works without external dependencies by satisfying requirements for a self-contained HTML artifact with a fixed seed, adjustable parameters, color palettes, and UI controls all embedded in a single file.