Agent skill · creative production · aradotso
modly-image-to-3d
Desktop app that generates 3D models from images using local AI running entirely on your GPU
Why this skill is useful
Adds executable scripts for local 3D model generation from images using AI, which the AI cannot generate from existing knowledge.
What it needs
Requires npm, python installed locally. About 6k tokens when loaded. Last updated 2026-07-09. 70 stars on the source repository.
What this skill does
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 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) Development setup Production build --- Key npm Scripts --- Extension System Extensions are GitHub repositories containing: manifest.json — metadata and model variants generator.py — generation logic implementing the Modly extension interface manifest.json structure generator.py interface Installing an extension (UI flow) 1. Open Modly → go to Models page 2. Click Install from GitHub 3. Paste the HTTPS URL, e.g. https://github.com/lightningpixel/modly-hunyuan3d-mini-extension 4. After install, click Download on the desired model variant 5. Select the installed model and upload an image to generate Official Extensions Extension Model ----------- ------- modly-hunyuan3d-mini-extension Hunyuan3D 2 Mini --- Python Backend API (FastAPI) The backend runs locally. Key endpoints used by the Electron frontend: Calling the backend from Electron (IPC pattern) --- Writing a Custom Extension Minimal extension repository structure Example: wrapping a HuggingFace diffusion model --- Configuration & Environment Modly runs fully locally — no environment variables or API keys needed. GPU/CUDA is auto-detected by PyTorch in extensions. Relevant configuration lives in: If you need to configure the backend port or extension directory, check the Electron main process config (typically src/main/index.ts) for constants like APIPORT or EXTENSIONSDIR. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/modly-image-to-3d