lightningpixel/modly

Desktop app to generate 3D models from images or prompt using local AI — runs entirely on your GPU

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Summary Information

Updated 54 minutes ago
Added to GitGenius on August 13th, 2026
Created on March 17th, 2026
Open Issues & Pull Requests: 57 (+0)
GitHub issues: Enabled
Number of forks: 616
Total Stargazers: 6,168 (+0)
Total Subscribers: 46 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.2 hours
Mean response time: 6.8 days
90th percentile: 20.6 days
Tracked items: 64

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 94% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 11% of issues opened in the past year have been closed. Three people close 82% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 36
New in 7 days: 3
Closed in 7 days: 0
Avg open age: 47 days
Stale 30+ days: 19
Stale 90+ days: 1

Recent activity

Opened in 7 days: 3
Closed in 7 days: 0
Comments in 7 days: 7
Events in 7 days: 10

Top labels

  • bug (8)
  • enhancement (7)
  • feature (5)
  • tech (1)

Most active issues this week

Detailed Description

Modly is a desktop application that generates 3D models from images using local AI models running entirely on your GPU.

The tool solves the problem of converting photographs into 3D meshes without relying on cloud services or external APIs. It runs open source AI models locally on your machine, keeping all processing offline and private. The application uses a node-based workflow system where users connect steps like image input, mesh generation, and scene composition to define their conversion pipeline. Workflows are validated before execution, with invalid graphs surfacing warnings rather than failing silently, and users can further refine results by smoothing and decimating imported meshes within the application.

Modly suits developers and creators who want image-to-3D conversion without cloud dependencies and have GPU hardware available. It works on Windows, Linux, and Apple Silicon macOS. The tool's extension system allows adding new AI models and processing steps through external GitHub repositories, with several official extensions available including variants of Hunyuan3D and TripoSG models. Extensions can be installed directly from the application by providing a repository URL, and models can be downloaded on demand.

The project maintains an active extension ecosystem with multiple official model implementations available. Development includes platform-specific optimizations such as native window controls on macOS and a live RAM indicator in the application interface. The codebase is written in TypeScript with a Python backend, and the project provides both packaged installers and the ability to run directly from a cloned repository in development mode.