#1717th of 30 in Image and videoFor image, video and design

modly

Desktop app that generates 3D meshes from photos using local models

Stars
8.3k
License
custom license
Last commit
Oct 2026
Last release
Oct 2026
Language
TypeScript
Stars, last 29 weeks+7,504
1 Apr 2026: 782 stars8 Apr 2026: 808 stars15 Apr 2026: 831 stars22 Apr 2026: 1,608 stars29 Apr 2026: 1,850 stars6 May 2026: 2,494 stars13 May 2026: 3,360 stars20 May 2026: 3,569 stars27 May 2026: 3,703 stars3 Jun 2026: 3,794 stars10 Jun 2026: 3,852 stars17 Jun 2026: 3,975 stars24 Jun 2026: 4,079 stars1 Jul 2026: 4,163 stars8 Jul 2026: 4,206 stars15 Jul 2026: 4,260 stars22 Jul 2026: 4,309 stars29 Jul 2026: 4,748 stars5 Aug 2026: 4,830 stars12 Aug 2026: 5,057 stars19 Aug 2026: 6,894 stars26 Aug 2026: 7,232 stars2 Sept 2026: 7,358 stars9 Sept 2026: 7,445 stars16 Sept 2026: 7,569 stars23 Sept 2026: 7,642 stars30 Sept 2026: 7,878 stars7 Oct 2026: 7,947 stars14 Oct 2026: 8,190 stars21 Oct 2026: 8,286 stars

782 on 1 Apr 20268,286 on 21 Oct 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

Modly is an Electron and TypeScript desktop app with a Python FastAPI backend that turns an image into a 3D mesh using open models on your own GPU. Models such as Hunyuan3D 2 Mini, TripoSG and Trellis2 GGUF are installed as extensions from GitHub repositories. It has a node-based workflow editor, in-app mesh smoothing and decimation, and a CLI for scripts and agents.

Who it is for: 3D artists and developers who want local image-to-3D mesh generation

Strengths

  • Model extensions install from a GitHub URL; official ones cover Hunyuan3D 2 Mini, TripoSG, Trellis2 GGUF
  • Runs on Windows, Linux and Apple Silicon macOS; AMD GPUs supported via ROCm
  • Node-based workflows are validated before run; meshes can be smoothed and decimated in-app
  • Stdlib-only CLI exposes generate, workflow-run and model commands for scripts and agents

Weaknesses

  • Focused on image-to-3D; no general image or video generation described
  • Hugging Face is the only supported model weight provider
  • RAM and VRAM requirements are not stated in the README
  • Detected license is NOASSERTION; README says MIT with a required attribution credit for forks

What it needs

  • GPU required
  • Needs Node.js, Python, Hugging Face (model weights)
  • Models: Hunyuan3D 2 Mini, Hunyuan3D 2 Mini Turbo, Hunyuan3D 2 Mini Fast, TripoSG, Trellis2 GGUF

Also in Image and video

See all 30
Also in Image and video
RankProjectScore
1MoneyPrinterTurboTurns a topic into a short video with script, footage, voiceover and subtitles133.8k starsMIT76 out of 100
2ComfyUINode-graph editor for running diffusion image, video, audio and 3D workflows141.5k starsGPL-3.075 out of 100
3toonflow-appInfinite-canvas tool for AI short drama and comic video production18.8k starsMIT72 out of 100
#4InvokeAIWeb UI for diffusion image generation with inpainting canvas and node workflows28.8k starsApache-2.068 out of 100
#5infinite-canvasBrowser-based infinite canvas for AI image and video generation7.8k starsMIT66 out of 100