Modly Image To 3d

Modly is an Electron desktop app that runs image-to-3D generation entirely on your local GPU with no cloud calls or API keys. It's built around a plugin system where extensions are GitHub repos containing a manifest.json and generator.py that implement the generation interface. Ships with Hunyuan3D 2 Mini out of the box. The architecture is straightforward: TypeScript frontend talking to a local Python FastAPI backend that loads models and runs inference. If you want full control over your 3D generation pipeline and don't mind managing model weights yourself, this gives you that. Launcher scripts handle setup on Windows and Linux, and the extension API is clean enough to wrap most HuggingFace models without much boilerplate.

skills.sh installs: 1.3K
GitHub stars: 61
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/trending-skills --skill modly-image-to-3d --agent claude-code

Installs into .claude/skills of the current project.

Files

Modly Image-to-3D Skill

Skill by ara.so — Daily 2026 Skills collection.

Modly is a local, open-source desktop application (Windows/Linux) that converts photos into 3D mesh models using AI models running entirely on your GPU — no cloud, no API keys required.

Architecture Overview

modly/
├── src/                    # Electron + TypeScript frontend
│   ├── main/               # Electron main process
│   ├── renderer/           # React UI (renderer process)
│   └── preload/            # IPC bridge
├── api/                    # Python FastAPI backend
│   ├── generator.py        # Core generation logic
│   └── requirements.txt
├── resources/
│   └── icons/
├── launcher.bat            # Windows quick-start
├── launcher.sh             # Linux quick-start
└── package.json

The app runs as an Electron shell over a local Python FastAPI server. Extensions are GitHub repos with a manifest.json + generator.py that plug into the extension system.

Installation

Quick start (no build required)

# Windows
launcher.bat

# Linux
chmod +x launcher.sh
./launcher.sh

Development setup

SKILL.md on GitHub

Details

Repository: github.com/aradotso/trending-skills
First seen: Apr 16, 2026