neilsonnn/image-blasterPublic

An image-to-world skillset for Claude.

AI summary: Automated pipeline tool leveraging Claude skills to convert single images into fully meshed 3D environments.

Stars
4.9K
+10 today
Forks
500
Watchers
55
Open issues
3
Open PRs
6
Contributors
~1
Commits
72
Branches
1

TypeScriptMITCreated Apr 21, 2026Last push 4mo ago+18 stars this week+50 this month

Quick answers

What is image-blaster?
Automated pipeline tool leveraging Claude skills to convert single images into fully meshed 3D environments.
What does image-blaster do?
Image Blaster is a highly rapid 3D environment generation tool that effectively utilizes a specialized skillset for Claude. It intelligently orchestrates external APIs, primarily World Labs and FAL, to process a single 2D input image and output a complete, explorable 3D scene. The tool automatically generates necessary meshes, ambient sound effects, and spatial environmental assets with remarkable efficiency. This pipeline compresses the typical, labor-intensive manual 3D modeling workflow into a highly automated process taking less than five minutes. It supports multiple generation models including Marble-1.1 and Hunyuan-3D.
Who is image-blaster for?
Game developers, technical artists, and 3D designers looking to rapidly prototype 3D environments straight from 2D concept art. It greatly benefits studios seeking to significantly accelerate their initial pre-production and visualization workflows.
How do I get started with image-blaster?
git clone https://github.com/neilsonnn/image-blaster
How popular is image-blaster on GitHub?
neilsonnn/image-blaster has 4,886 stars and 500 forks on GitHub, and gained 18 stars in the last 7 days.
What license does image-blaster use?
neilsonnn/image-blaster is released under the MIT license.

Star history

since Jul 29, 2026
02K4KJul 2026Aug 2026Sep 2026Oct 2026
4.9K stars as of Oct 2, 2026. Measured daily since Jul 29, 2026; GitHub no longer exposes earlier star timestamps.

Contribution activity

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72 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Permissive license

    MIT

What image-blaster does

Image Blaster is a highly rapid 3D environment generation tool that effectively utilizes a specialized skillset for Claude. It intelligently orchestrates external APIs, primarily World Labs and FAL, to process a single 2D input image and output a complete, explorable 3D scene. The tool automatically generates necessary meshes, ambient sound effects, and spatial environmental assets with remarkable efficiency. This pipeline compresses the typical, labor-intensive manual 3D modeling workflow into a highly automated process taking less than five minutes. It supports multiple generation models including Marble-1.1 and Hunyuan-3D.

Game developers, technical artists, and 3D designers looking to rapidly prototype 3D environments straight from 2D concept art. It greatly benefits studios seeking to significantly accelerate their initial pre-production and visualization workflows.

  • Single image processing: Converts a standard 2D reference image into a complex, spatially aware 3D environment layout.
  • Automated mesh generation: Leverages the World Labs API to automatically generate and intelligently place 3D meshes.
  • Audio synthesis: Generates complementary, object-specific sound effects (SFX) to match the visual context of the 3D scene.
  • Claude integration: Operates directly as a specialized, easily invoked skillset within the familiar Claude CLI environment.
  • Rapid pipeline execution: Completes the entire generation workflow, from image ingestion to final model, in under five minutes.
  • Multi-model orchestration: Coordinates specialized models like Marble-1.1, Hunyuan-3D, and ElevenLabs to build complete environments.

Where teams use it

Jumpstarting level design

Allowing game developers to quickly draft a playable 3D scene layout by directly uploading a piece of concept art.

Rapid prototyping

Generating immediate, spatial visualizations and mockups for architectural or environmental design pitches.

Automated asset creation

Producing foundational base meshes and ambient SFX that technical artists can later refine and heavily detail.

AI-assisted environment building

Integrating cutting-edge spatial AI models directly into a conversational workflow utilizing the Claude CLI.

Getting started: git clone https://github.com/neilsonnn/image-blaster

README

main branch
image-blaster-1

image-blaster

Creates 3D environments, SFX, and meshes from a single image using Claude skills, World Labs, and FAL.

Can take you from an image to a fully meshed 3D environment in < 5 minutes, great for jumpstarting 3D work. Go full blast.

Quickstart

  1. Open a Terminal, enter git clone https://github.com/neilsonnn/image-blaster
  2. Enter the directory with cd image-blaster
  3. Run claude (install with curl -fsSL https://claude.ai/install.sh | bash)
  4. Say hello to Claude, and give them your API key for World Labs and FAL.
  5. Put an image into input/ directory and ask Claude to blast it and confirm each step with me.

Description

By default image-blaster will use your input image to create:

  1. 3D models (.glb, .obj) of all dynamic objects
  2. Gaussian splat (.spz) of the static environment,
  3. Ambient looping sound and object specific physics SFX (.mp3)

Extensions

You can embed image-blaster under the assets of any game engine, DCC software, or web app.

  1. Unity, Unreal, or Godot game engine
  2. Blender, 3DS Max, or Maya or other DCC software
  3. Three.js web app or Electron app

Advanced

IMAGE-BLASTER uses a few generation models:

  • marble-1.1 - World Labs Marble model creates the explorable environment.
  • nano-banana - default image edit preference for source cleanup, clean plates, and object reference images.
  • gpt-image-2 - alternate image edit provider when the edit skill is asked to prefer it.
  • hunyuan-3d - Hunyuan 3D model creates 3D object models through FAL.
  • elevenlabs-sfx - ElevenLabs sound effects model creates ambient and object-specific sounds.

3D model creation supports these Hunyuan parameters:

  • --face-count <40000-1500000>: target face count. IMAGE-BLASTER defaults to 50000; Hunyuan's API default is 500000.
  • --enable-pbr true|false: enable PBR material generation. Defaults to true.
  • --generate-type Normal|LowPoly|Geometry: Normal creates a textured model, LowPoly applies polygon reduction, and Geometry creates a white geometry-only model. Defaults to Normal.
  • --polygon-type triangle|quadrilateral: polygon type for LowPoly. Defaults to triangle.

Examples

  • Video game level concepts? IMAGE-BLAST it.
  • Your childhood bedroom? IMAGE-BLAST it.
  • Need an environment for a robot? IMAGE-BLAST it.
  • A film location scout? IMAGE-BLAST it.
  • An architectural rendering? IMAGE-BLAST it.

Development

  • remove /app from the .claudeignore file to give Claude the ability to change the React viewer.
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Recent activity

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Recent open issues

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Code frequency

additions and deletions
+11.7K-11.7KWeek of 2026-04-19: +8,161 linesWeek of 2026-04-19: -218 linesWeek of 2026-04-26: +7,189 linesWeek of 2026-04-26: -2,460 linesWeek of 2026-05-03: +11,733 linesWeek of 2026-05-03: -5,787 linesWeek of 2026-05-10: +1,920 linesWeek of 2026-05-10: -848 linesWeek of 2026-05-17: +0 linesWeek of 2026-05-17: -0 linesWeek of 2026-05-24: +0 linesWeek of 2026-05-24: -0 linesWeek of 2026-05-31: +0 linesWeek of 2026-05-31: -0 linesWeek of 2026-06-07: +0 linesWeek of 2026-06-07: -0 linesWeek of 2026-06-14: +0 linesWeek of 2026-06-14: -0 linesWeek of 2026-06-21: +0 linesWeek of 2026-06-21: -0 linesWeek of 2026-06-28: +0 linesWeek of 2026-06-28: -0 linesWeek of 2026-07-05: +0 linesWeek of 2026-07-05: -0 linesWeek of 2026-07-12: +0 linesWeek of 2026-07-12: -0 linesWeek of 2026-07-19: +0 linesWeek of 2026-07-19: -0 linesWeek of 2026-07-26: +0 linesWeek of 2026-07-26: -0 linesWeek of 2026-08-02: +0 linesWeek of 2026-08-02: -0 linesWeek of 2026-08-09: +0 linesWeek of 2026-08-09: -0 linesWeek of 2026-08-16: +0 linesWeek of 2026-08-16: -0 linesWeek of 2026-08-23: +0 linesWeek of 2026-08-23: -0 linesWeek of 2026-08-30: +0 linesWeek of 2026-08-30: -0 linesWeek of 2026-09-06: +0 linesWeek of 2026-09-06: -0 linesWeek of 2026-09-13: +0 linesWeek of 2026-09-13: -0 linesWeek of 2026-09-20: +0 linesWeek of 2026-09-20: -0 linesWeek of 2026-09-27: +0 linesWeek of 2026-09-27: -0 linesApr 19, 2026Sep 27, 2026
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Commits per week

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72 commits in the last 52 weeks.

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits72 (100%)
Community commits0 (0%)

72 commits in total over the last year.

DateListRankStars gained
May 16, 2026daily#12+138
May 15, 2026daily#4+125
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