LibreAI / 3D-KI / modly
// ai-3d · lightningpixel/modly

modly

modly ist ein Open-Source-Projekt aus der Kategorie 3D-KI von lightningpixel (lightningpixel/modly auf GitHub). Es hat 7.964 Sterne auf GitHub und 739 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.

Modly — a desktop app that generates 3D models from images or prompts, running entirely on your own GPU.

★ 8,0 Tsd. Sterne⑂ 739 ForksMITaktualisiert Okt 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
7.964
Forks
739
Lizenz
MIT
Zuletzt auf GitHub aktualisiert
4. Oktober 2026
Kategorie
3D-KI
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  1. Clarify your goal

    Check your GPU (NVIDIA, or AMD via ROCm) and decide whether to take the release installer or run from source for development.

  2. Get the project

    Clone lightningpixel/modly from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Download the latest installer from GitHub Releases for Windows, Linux or Apple Silicon macOS — or clone and launch with the provided scripts.

  4. Run your first task

    Generate a first model from a single image, inspect the mesh in the viewer, then smooth or decimate it before exporting.

// funktionen

Warum es so beliebt ist

Local GPU generation

3D generation runs entirely on your own GPU — no cloud generation service and no per-model fees to a host.

Image or prompt input

Create models from a reference image or from a text prompt, depending on the model extension you install.

Extension system

Models are installable extensions; one model node can pull multiple Hugging Face repositories and separately installable weight variants, with shared weights inside an extension.

Workflow wiring with validation

Node workflows are validated before a run; invalid graphs stay in place and surface inline/toast warnings instead of losing your mesh view.

Mesh cleanup in-app

Imported meshes can be smoothed and decimated inside the app, with optimised results written back into the workspace.

Cross-platform desktop

Installers for Windows, Linux and Apple Silicon macOS, AMD ROCm support, and a live RAM indicator while you work.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Get the source from the official GitHub repository for modly.

    git clone https://github.com/lightningpixel/modly.git
    cd modly
  2. Get the app

    Download the latest installer for your platform from the GitHub Releases page, or clone the repo to run without installing (launch.bat on Windows, ./launch.sh on Linux/macOS).

    git clone https://github.com/lightningpixel/modly.git
    cd modly
  3. Run from source

    Install the JavaScript dependencies, set up the Python backend, then run in development as the README's getting-started steps describe.

    npm install
    pip install -r requirements.txt  # then run the dev command — see README
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

Who maintains modly?

lightningpixel, through the lightningpixel/modly repository, with the site at modly3d.app.

Is modly free to use?

Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.

Does modly need a paid API key?

No API key is needed — generation is local on your GPU, and model extensions download their weights from Hugging Face; Modly itself is free.

How does Modly compare to a hosted image-to-3D service?

Hosted services generate on their GPUs, charge or rate-limit, and see your images. Modly generates on your own GPU with installable local models — you need the hardware, but generation stays private and unlimited by a plan.

How do I get started with modly?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — generate a first model from a single image, inspect the mesh in the viewer, then smooth or decimate it before exporting.

// weiter entdecken

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// alternativen

Alternativen im Bereich 3D-KI

Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls modly nicht das Richtige ist.

// mehr in ai-3d

Mehr in 3D-KI

Verwandte Projekte der Kategorie 3D-KI im Katalog, die modly bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir modly

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.