Open-source GitHub tool used via Claude Code that turns a single image into a 3D environment with movable objects, meshes, physics, lighting, Gaussian splats and ambient audio. Matt hasn't tried it yet.
World Labs open-source image-to-3D environment
by World Labs
World Labs tooling that turns a single image into an editable 3D environment with meshes, splats, physics and lighting.
Updated EU status checked Last shown
World Labs open-source image-to-3D environment at a glance
- What is World Labs open-source image-to-3D environment?
- World Labs open-source image-to-3D environment is a library from World Labs. World Labs tooling that turns a single image into an editable 3D environment with meshes, splats, physics and lighting.
- Who makes World Labs open-source image-to-3D environment?
- World Labs open-source image-to-3D environment is made by World Labs.
- Does World Labs open-source image-to-3D environment work in the EU?
- Unverified. No explicit evidence found for the open-source tool itself. World Labs' terms reference the EU AI Act (limited-risk classification, high-risk use prohibited) and restrict purchases to a selectable territory, but no EU exclusion is stated. Last verified 14 Nov 2026.
- How much does World Labs open-source image-to-3D environment cost?
- Open source. Described as open source on GitHub; hosted Atlas tools and developer API pricing not given in the provided material.
- Where was World Labs open-source image-to-3D environment shown?
- In 1 creator video by Matt Wolfe. Most recently by Matt Wolfe on 15 May 2026, at 25:33 in “AI News: OpenAI Finally Released What We Asked For”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
This entry covers an open-source tool from World Labs that, according to a YouTube creator summary, takes a single image and builds a 3D environment. The reported output includes movable objects, meshes, physics, lighting, Gaussian splats and ambient audio. It is described as a GitHub project used through Claude Code. The creator had not tried it, and no repository, license or documentation URL was provided, so these details are unverified.
World Labs' site presents Atlas as its latest world model (announced 12 November 2026). Atlas turns images into 3D worlds that users can explore and edit. The related tools listed there are Viewfinder (scene reconstruction and camera paths), Chisel (controllable scene building and grayboxing), Splats to Mesh, and Relight. A developer API and integrations, including Blender, are also listed. How the open-source tool relates to these products is not stated in the provided material.
Access to the hosted services is governed by World Labs' terms of service, which require a billing address in a supported territory for purchases. The terms also prohibit uses that would make the service a high-risk AI system under the EU AI Act. World Labs classifies its services as limited-risk AI systems.
- Generates a 3D environment from a single image (per creator description)
- Outputs meshes and Gaussian splats
- Movable objects, physics and lighting
- Ambient audio generation
- Reportedly used via Claude Code from a GitHub repository
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Similar AI tools
Closest neighbours by meaning, not just by category.
Atlas
Model · World Labs
World Labs' world model that generates and reconstructs explorable 3D worlds from images, text, video or 3D input.
MUNDO
Model
World model that turns a few context images into an editable, physics-simulated 3D world rendered by a video model.
PixWorld
Model
Research model that unifies 3D scene generation and reconstruction in a single pixel-space diffusion model.
WorldCrafter
Model · Tencent ARC Lab
Video world model from Tencent ARC Lab that turns an image or text into camera-controlled explorable scenes with 3D-aware memory.
World Sculpt
Model
Research framework that turns posed images with instance masks and 3D boxes into per-object meshes for cluttered scenes.
One Video One World
Research
Training-free research system that reconstructs simulation-ready 4D mesh scenes from a single monocular video.