AI product Open source
img2 Interior is an agent-operated interior reconstruction skill for Claude Code, Codex and OpenCode, powered by the img2 harness. Given a room reference image, the agent inspects the image, authors scene-specific editable geometry and physically based materials in Blender, renders and compares the result through an iterative visual-review workflow, then produces a packed editable Blender master, a runtime GLB with a Three.js browser viewer, and a separate portable GLB. The viewer can include camera views, wireframe mode, material or curtain controls, and downloads; the handoff also includes the scene specification, Python builder, source assumptions, resource notices, verification evidence and known limitations. It is distributed as the public npm package @img2threejs/img2interior and as a GitHub project. The project states that it is not a pretrained image-to-mesh model or a one-click fidelity guarantee: single-image dimensions, hidden geometry, camera properties and materials remain estimates, and lighting, interactions and performance vary by scene. Use is free, including commercial project work, under the source-available img2 Interior Free Use, Restricted Commercialization License 1.0; selling or rebranding the tool, bundling it into commercial software, or offering paid hosted/API access requires prior written permission.
1 use taken from transcripts — each links to the moment in the video.
A skill for coding agents that converts a single photo of a room into an editable Blender scene within a browser viewer using an iterative review loop.
1 in the library.