modly

Open source alternative to Meshy and Tripo AI

8.3K stars
MIT with attribution requirement
Active this week
Last commit 3 days ago

Last verified Oct 19, 2026

Generate 3D meshes from photos or text prompts on your local NVIDIA GPU, fully offline with no credit system. Exports GLB, OBJ, STL, and PLY.

Visit website GitHub8.3K

Read the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ

who it's for

Who modly is for#

3D artists building game asset libraries from reference photos

Convert reference photos directly to GLB or OBJ meshes for Blender or Unity without a cloud service or credit budget. Generate variations freely, organize results in collections, and export to whichever format the downstream pipeline needs.

Skip if:

Your studio already has a cost-effective cloud pipeline with acceptable image privacy. The local GPU setup overhead may not be worth switching if a working managed workflow already covers your volume.

Developers building AI agent generation pipelines

The Python CLI exposes health, model listing, workflow execution, and single-image-to-GLB generation as structured JSON commands. An agent or script can drive Modly headlessly on a local workstation, making it a local inference node in a broader AI generation system.

Skip if:

You need horizontal scale across multiple machines or cloud bursting. Modly runs on one local GPU and is not designed for distributed inference.

Product designers working with confidential or pre-launch images

For prototyping physical products from in-progress photos, Modly keeps every image on your machine. No file reaches a third-party server. This matters when working under NDA, with pre-release product designs, or with images subject to data residency requirements.

Skip if:

Image confidentiality is not a concern and you prefer lower setup friction. If privacy is not a constraint, Meshy or Tripo AI offer faster onboarding with no local GPU needed.

Educators and students learning AI 3D generation models

Because Modly is free to run after setup, students and educators can experiment with multiple AI model extensions at any generation volume without accumulating service costs. Installing different extensions and comparing outputs on the same input is a concrete way to study model behavior.

Skip if:

Your course environment uses machines without a compatible NVIDIA GPU. Modly has no CPU inference path, so it cannot run on most cloud-based lab environments or older hardware.

the problem

The problem it solves#

Cloud-based 3D generation services price by the credit. A moderate generation volume adds up to a real monthly bill, and every input image reaches a third-party server. Queue times slow iteration, and any pricing or service change from the vendor disrupts your pipeline.

For creators generating 3D assets regularly, the credit model creates a practical ceiling on experimentation. Each test generation carries a cost, which shapes workflow decisions around conservation rather than exploration.

how modly solves it

How it solves it#

Local GPU inference with no cloud dependency

All AI model inference runs on your NVIDIA GPU. No network call is made during generation: your images and prompts never leave your machine. A typical workflow from image to textured mesh completes entirely offline, regardless of internet connectivity.

Extension system for swappable AI models

Each extension is a GitHub repository bundling an AI model and its runtime files. Official extensions include Hunyuan3D 2 Mini (balanced), Mini Turbo, Mini Fast, TripoSG, and Trellis2 GGUF. Install any extension by entering its repository URL in the app; model weights download separately on first use.

Four 3D export formats

Generated meshes export as GLB, OBJ, STL, or PLY from within the app. GLB is optimized for real-time engines like Unity and Unreal Engine. STL is the standard for 3D printing. OBJ and PLY cover broader compatibility with DCC tools like Blender.

Collections and workspace organization

All generated models are organized into labeled collections. The workspace keeps every mesh accessible for re-opening, previewing, and re-exporting without regenerating. Generated meshes can also be smoothed and decimated in-app, with optimized results saved back to the workspace.

Python CLI for scripted and agent-driven generation

The bundled CLI (tools/modly-cli/agent.py) lets scripts and AI agents drive a running Modly instance without touching the UI. Canonical commands cover health checks, model listing, workflow execution, and single-image-to-GLB generation with structured JSON output on stdout.

Cross-platform desktop installer

Ships as a packaged installer for Windows (.exe), Linux (AppImage/.deb), and Apple Silicon macOS (.dmg). The app can also run from source after cloning. macOS uses native window controls; a live RAM indicator in the top bar monitors GPU memory during generation.

strengths · trade-offs

Strengths and trade-offs#

Strengths

Unlimited generations at zero marginal costAfter installing the app and one model extension, every generation is free. Unlike Meshy or Tripo AI where each mesh costs credits from a subscription plan, the only ongoing cost is your GPU's electricity. High-volume workflows become practical without any budget management.
Images never leave your machineAll inference runs locally on your NVIDIA GPU. Nothing is uploaded during a generation run. For workflows handling client images, unreleased product designs, or data subject to residency rules, this is a structural guarantee built into the architecture.
Model flexibility via the extension systemThe extension system decouples the app from any single AI model. When a better open source model is released, an extension can wrap it and be installed in one click. You keep pace with the state of the art without waiting for a cloud provider to update its backend.
Active development with strong community tractionThe repository reached over 7,500 GitHub stars and 714 forks within six months of its March 2026 launch. Regular extension releases, a public v0.5 roadmap covering AI mesh editing and a plugin editor, and an active Discord community indicate sustained development momentum.

Trade-offs

-NVIDIA GPU required; no CPU or AMD/Intel GPU supportAll current model extensions target NVIDIA hardware. The app does not run inference on CPU or on AMD and Intel GPUs. macOS support is limited to Apple Silicon. Machines without a compatible NVIDIA GPU cannot generate any meshes, which rules out most cloud-based development environments.
-MIT license with attribution requirement for forksSelf-hosting, modification, distribution, and commercial use are all permitted. The license adds one condition specific to forks: any application derived from Modly must credit the original project and its creator in the UI or documentation. Using the app itself and its generated meshes commercially carries no such restriction.
-macOS limited to Apple Silicon hardwareThe official macOS build targets Apple Silicon only. Intel Mac users cannot run the .dmg installer. The README documents this explicitly. Linux AppImage and Windows .exe cover Intel-architecture hardware, so Intel Mac developers need a separate machine or a Linux environment to run Modly.

versus alternatives

modly vs alternatives#

Modly vs Meshy

Both generate 3D meshes from images and text prompts, but from opposite deployment models. Meshy is a managed cloud service with per-generation credit billing. Modly runs every inference step on your local NVIDIA GPU with no credit system and no network dependency.

Feature	Modly	Meshy
License	MIT with attribution	Proprietary
Deployment	Local desktop app	Cloud only
Cost per generation	Free after setup	Credit-based subscription
Images sent to server	Never	Yes
Export formats	GLB, OBJ, STL, PLY	GLB, OBJ, FBX, USDZ
GPU requirement	NVIDIA GPU required	None (cloud-side)

Modly is the better choice for high-volume generation, image privacy, and predictable cost over time. After setup, every generation is free and stays on your machine. Meshy is worth choosing when you need results without a local GPU, prefer a polished web interface with no installation, or require FBX or USDZ export formats that Modly does not currently offer.

Modly vs Tripo AI

Tripo AI is a cloud-based 3D generation API and web platform. TripoSG is both Tripo AI's core model and one of Modly's official extensions. The difference is infrastructure: Modly runs the same underlying model on your hardware; Tripo AI runs it on theirs with a managed API.

Feature	Modly	Tripo AI
License	MIT with attribution	Proprietary
Deployment	Local desktop app	Cloud API and web
Inference location	Your GPU	Tripo AI servers
Pricing	Free (self-hosted)	Credit-based
API access	Python CLI	REST API

For developers who want to run TripoSG locally rather than through a managed API, Modly provides the same model without per-generation cost. Tripo AI is the better choice when you need a production REST API with SLA guarantees, have no local NVIDIA GPU, or want access to newer model versions before they appear as community extensions.

install · quick start

Quick start#

bash

Install Modly from source using Node.js after cloning the repository.

```bash
git clone https://github.com/lightningpixel/modly
cd modly
npm install
npm run dev
```

tech stack · detected from GitHub

What it's built on#

Languages: C++JavaScriptObjective-C++PythonTypeScript
Frameworks: FastAPIReact
Tooling: esbuild

frequently asked

FAQ#

Does Modly require an internet connection to generate 3D models?

No. All generation runs on your local NVIDIA GPU. Once you have installed an extension and downloaded its model weights, Modly works entirely offline. Input images and prompts are never sent to any server during a generation run.

What GPU does Modly need?

Modly requires an NVIDIA GPU. The minimum VRAM depends on the model extension: lighter options like Hunyuan3D Mini Fast are optimized for lower-end hardware, while TripoSG and Trellis2 GGUF perform better with more VRAM. AMD GPUs, Intel integrated graphics, and CPU-only machines are not currently supported.

How does the Modly license work?

Modly uses an MIT license with one additional condition: if you fork the project and build a new application from it, you must credit the original project and its creator in your app's UI or documentation. Running Modly as-is, modifying it for private use, using it commercially, and using the generated 3D meshes in commercial work are all permitted without restriction.

Which 3D file formats can Modly export?

Modly exports GLB, OBJ, STL, and PLY. GLB is suited for real-time 3D engines like Unity and Unreal Engine. STL is the standard format for 3D printing. OBJ and PLY cover broader compatibility with DCC tools like Blender.

Can I use Modly to generate 3D models for commercial projects?

Yes. The license permits commercial use of the app and of the 3D models it generates without restriction. The attribution requirement applies only when you fork the source code to build a derivative application, not to commercial use of the output files.

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Modly vs Meshy

Feature	Modly	Meshy
License	MIT with attribution	Proprietary
Deployment	Local desktop app	Cloud only
Cost per generation	Free after setup	Credit-based subscription
Images sent to server	Never	Yes
Export formats	GLB, OBJ, STL, PLY	GLB, OBJ, FBX, USDZ
GPU requirement	NVIDIA GPU required	None (cloud-side)

Modly vs Tripo AI

Feature	Modly	Tripo AI
License	MIT with attribution	Proprietary
Deployment	Local desktop app	Cloud API and web
Inference location	Your GPU	Tripo AI servers
Pricing	Free (self-hosted)	Credit-based
API access	Python CLI	REST API

Who modly is for#

3D artists building game asset libraries from reference photos

Skip if:

Developers building AI agent generation pipelines

Skip if:

Product designers working with confidential or pre-launch images

Skip if:

Educators and students learning AI 3D generation models

Skip if:

The problem it solves#

How it solves it#

Local GPU inference with no cloud dependency

Extension system for swappable AI models

Four 3D export formats

Collections and workspace organization

Python CLI for scripted and agent-driven generation

Cross-platform desktop installer

Strengths and trade-offs#

Strengths

Trade-offs

modly vs alternatives#

Modly vs Meshy

Modly vs Tripo AI

Quick start#

What it's built on#

FAQ#

Similar open-source tools#

Open source tools in these categories#

AI & Machine Learning

Design & Creative

Developer Tools

Find open source alternatives to paid software

Who modly is for#

3D artists building game asset libraries from reference photos

Skip if:

Developers building AI agent generation pipelines

Skip if:

Product designers working with confidential or pre-launch images

Skip if:

Educators and students learning AI 3D generation models

Skip if:

The problem it solves#

How it solves it#

Local GPU inference with no cloud dependency

Extension system for swappable AI models

Four 3D export formats

Collections and workspace organization

Python CLI for scripted and agent-driven generation

Cross-platform desktop installer

Strengths and trade-offs#

Strengths

Trade-offs

modly vs alternatives#

Modly vs Meshy

Modly vs Tripo AI

Quick start#

What it's built on#

FAQ#

Similar open-source tools#

Open source tools in these categories#

AI & Machine Learning

Design & Creative

Developer Tools

Find open source alternatives to paid software