shaun8149/sdf-js

Prompt: 海边的灯塔 (5 characters). Same prompt + same 2D code, lifted twice — once with the v1 lift prompt (no semantic types taught) and once with the v2 prompt (18 named atom + component types). v1 emit: 0 atoms (the original 3D had no moon and no stars). v2 emit: moon × 1, star × 15, plus the tower shown here. The library expansion → prompt rewrite → atom emission is a fully quantified loop — scripts/regression reproduces the result for $0.07 per demo.

→ Try the live gallery · no API key needed, click any of 8 pre-lifted scenes and fly through with WASD.

Prompt: 一座哥特式大教堂 (6 characters). 2D code: emitted but failed to render (closing-vertex bug in one polygon call). 3D scene: read by the lift LLM as semantic structure (twin towers + rose window + lancet portals + flying buttresses + crossing tower), compiled into editable SceneData, rendered via BOB GPU. Two parallel pipelines from prompt to viewer — only one needs to succeed. Diffusion has one.

Atlas — the LLM-native illustration platform. An atlas in differential geometry is a collection of charts covering a manifold. Here it's a collection of forms × renderers × patterns × scenes — composed via four orthogonal input sources (LLM prompt, generator, 2D editor, 3D editor) into a single renderer pool. Built on sdf-js — the underlying open-source SDF library. Signed distance functions are a paradigm where diffusion models structurally cannot compete.