Image-Blaster is a CLI tool that generates complete 3D environments from a single image in under 5 minutes, creating textured models, Gaussian splats, and sound effects by chaining Claude, World Labs, and FAL APIs together. You feed it an image, Claude walks you through the process step-by-step, and you get game-ready assets.

• Outputs multiple asset formats (.glb, .obj, .spz files) plus ambient and physics-based sound effects in a single pipeline, designed to drop directly into game engines (Unity, Unreal, Godot) or 3D software (Blender, Maya).
• Hunyuan 3D model supports configurable parameters including face count (40k-1.5M), PBR material generation, and polygon reduction, letting you optimize for performance or fidelity.
• Runs locally via Claude CLI with API keys for World Labs and FAL; the entire workflow is interactive, with Claude confirming each step rather than running fully automated.

World Labs released Atlas, a multimodal AI model that generates, reconstructs, and simulates 3D scenes from text, images, video, and 3D inputs. It can create minute-long videos with precise camera control, reconstruct real spaces from just a few photos, and simulate environments for robotics applications.

• Atlas generates up to 1 minute of 1440p video with pixel-perfect camera control from reference images, smoothly extrapolating beyond visible content to imagine unseen parts of scenes.
• The model reconstructs real-world spaces from as few as 2-3 input images and outperforms specialized 3D reconstruction models, outputting point clouds or 3D Gaussian splats for use in robotics and design workflows.
• Atlas enables Real-to-Sim for robotics by reconstructing spaces from phone video and generating RGB and depth data from a robot's perspective as it moves through simulated environments.