Image, Music, and Video Generation

Mathematics is the foundation at every level: the model writes structure, canvas programs render images, animation advances through calculated motion, and Mozart turns equations into sound waves.

AI-generated art notice

All media is generated without training on the work of artists.

SpurImage generator

Spur starts with mathematical structure: shapes, fields, coordinates, and canvas instructions that the machine turns into finished images. These were generated in one-shot prompts without an image-trained model.

Cinematic prairie landscape generated by SpurProcedural art deco New York cityscape generated by SpurProcedural abstract gallery painting generated by SpurProcedural Earth and moon space scene generated by Spur

Lorenz systems

Wallpaper-scale studies from equations and mathematical attractors.

View
Lorenz Attractor - Rainbow 01
Lorenz Attractor - Rainbow 05
Lorenz Attractor - Rainbow 06
Lorenz Attractor - Elite 2 04
MozartMusic system

Mozart has the model compose the music, synthesize the sounds, and then voila: a playable WAV appears from text-defined score, instruments, envelopes, and export steps. The model writes the arrangement and the audio recipe, then renders the file from structure rather than imitation.

Mozart interface showing arrangement and mixer views

Mozart's DAW view keeps the arrangement, instrument voices, mixer choices, and export state visible while the model works, so the finished track is inspectable instead of a black-box audio blob.

SavannahAnimation studio

Savannah animates generated images and mathematical systems with canvas motion, timing, coordinates, and equations.

Bouncing BallsSavannah

Collision motion, timed loops, and five-color canvas animation.

Cat and MouseSavannah

Simple agents, calculated movement, and timing across a canvas.

Singularity BloomSavannah

A generated image pushed through motion, scale, timing, and mathematical change.

Live Lorenz SystemSavannah

Canvas motion from equations, projected as a rotating system.

Prairie Labs art notice

We do not train on artists.

Prairie Labs makes visual, audio, and animation work with prompt-native systems, math, procedural structure, and ordinary creative software. We do not train custom image, video, or audio models on artists' work.

Our creative tools are built around readable source files and inspectable process: the model is asked to operate a system, not imitate a living artist's style or absorb a private body of work.

The standard is simple: artist consent matters. We want AI media to be something people can inspect, credit, remix responsibly, and refuse when the source is unclear.