The creator is the head of creative engineering at fal. The skill is called image-to-sculpt, and it works with Claude Code, Codex, Cursor, Copilot and Gemini. How it works: The photo sets the rules: MoGe gives depth and focal length, Marigold gives normals, BiRefNet or SAM-3 gives the mask Other sides are checked, not trusted: generated side views get their real angle found by search, bad ones get rejected with a reason, and one view is held out to test the result honestly Small recorded passes: forms first, then surface, then detail, with an exact signed distance field so no stair steps or rings Measured, not eyeballed: silhouette overlap, outline distance, normal angle and depth compared for every view Blender replay: every step rendered as a timelapse, a 360° turntable, a .blend file, and GLB, OBJ or STL export The catch: this one took about 3 hours of Opus 5.5 plus paid depth and mask models, and the creator himself calls it an experiment, not a faster way to make models. A 3D artist in the replies said it looks like a projection, and the creator answered that no Trellis or Hi3D model was used, only depth, normals and outlines. MIT licensed. github: https://github.com/gokayfem/image-to-sculpt   submitted by   /u/Delicious-Shower8401   to   r/TopologyAI [link]   [comments]