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This page is the demo

Generation you can put in a receipt.
A prompt, a seed, the same bytes everywhere.

Every other generative model is float and judged by similarity — its output drifts between machines, so you can never pin it. wai.generate.spectral is the opposite: a generator whose whole pipeline is integer. The prompt's words shape the image through a pinned integer lexicon — colour (ocean→blue, fire→red), texture (calm→smooth, chaos→busy), orientation (horizon→horizontal, tall→vertical) and a shape grammar (ring→concentric, kaleidoscope→symmetric, star→rays, spiral/galaxy→spirals, sky→gradient) — while the prompt+seed fix the exact draw. So the same (model, prompt, seed, steps) produces byte-identical output on every machine — there is no original, yet the generated image's hash is portable and can go in a receipt. The same pure-i64 Rust native sinks run, in wasm32, no float, no ML runtime.

image generate output hash same inputs → same bytes, on every machine
checking the native reference…

Why this is the moat

The hash above is portable: generate this prompt and seed on another machine and you get the identical bytes, so a publisher can pin "this prompt+seed under this model is exactly this image" and anyone verifies it client-side — generation-equivalence, the create-side of byte-exact conformance. The conformance line proves it: this browser reproduces the native reference's hash for the pinned inputs, byte-for-byte. (The image is fixed-point spectral synthesis — the prompt seeds which spectrum, deterministically. Reference engine + conformance corpus in the open-standards repo, Apache-2.0.)