# lightningpixel/modly

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4,140 stars · 440 forks · TypeScript · NOASSERTION

## Links

- GitHub: https://github.com/lightningpixel/modly
- Homepage: https://modly3d.app
- awesome-repositories: https://awesome-repositories.com/repository/lightningpixel-modly.md

## Description

Modly is a local AI 3D model generator that converts two-dimensional images into three-dimensional meshes. It is a privacy-focused tool that processes data directly on the host graphics card using GPU-accelerated inference.

The system serves as an extensible AI model framework, allowing the integration of external model extensions and runtime files from remote repositories. It utilizes a manifest-driven plugin architecture to add new generation methods by loading metadata and files from external version control systems.

The toolset includes a command-line interface for triggering generation workflows and exporting mesh assets for scriptable automation. It also features model management systems to track the download, loading status, and real-time event streams of deployed AI models.

## Tags

### Graphics & Multimedia

- [Image-to-Mesh Generation](https://awesome-repositories.com/f/graphics-multimedia/image-to-mesh-generation.md) — Provides the core capability of converting 2D images into 3D polygonal meshes using local AI processing. ([source](https://github.com/lightningpixel/modly/blob/main/package.json))
- [GPU-Accelerated 3D Generation Tools](https://awesome-repositories.com/f/graphics-multimedia/gpu-accelerated-3d-generation-tools.md) — Provides a privacy-focused tool for generating 3D models from photos using local GPU acceleration.

### Artificial Intelligence & ML

- [Local 3D Generation Runtimes](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/model-integration-serving/local-ai-model-runtimes/local-3d-generation-runtimes.md) — Creates 3D mesh models from 2D images using AI models running locally on the user's GPU.
- [AI Model Integrations](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-model-integrations.md) — Allows the integration of custom AI models and generation methods via external repositories and manifests.
- [GPU-Accelerated Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/gpu-accelerated-inference.md) — Executes AI model computations directly on the host GPU to ensure high performance and data privacy.
- [3D Asset Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/image-generation-models/3d-asset-generators.md) — Generates 3D meshes and textures from image inputs while maintaining all data on the local machine.
- [AI Model Management](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/model-integration-serving/ai-model-management.md) — Manages the lifecycle of local AI models, including downloading, loading, and monitoring deployment status.
- [AI Command Line Automation](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-tooling/agent-and-tool-integrations/ai-command-line-automation.md) — Automates the 3D generation and export pipeline through a dedicated command-line interface.
- [Event-Driven Model Streaming](https://awesome-repositories.com/f/artificial-intelligence-ml/event-driven-model-streaming.md) — Utilizes real-time event streams to monitor the progress of AI model generation and deployment.
- [Model Extension Modules](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generation-utilities/model-extension-modules.md) — Supports modular model extensions to augment the system's generative 3D capabilities. ([source](https://github.com/lightningpixel/modly/blob/main/README.md))

### Part of an Awesome List

- [Generative 3D Modeling](https://awesome-repositories.com/f/awesome-lists/ai/generative-3d-modeling.md) — A desktop application that synthesizes 3D shapes and textures from images using local AI models.
- [AI Tools](https://awesome-repositories.com/f/awesome-lists/ai/ai-tools.md) — Tool for converting images to 3D models.

### Development Tools & Productivity

- [Inference Workflow Automations](https://awesome-repositories.com/f/development-tools-productivity/cli-workflow-automations/inference-workflow-automations.md) — Exposes 3D generation and mesh export processes through a command-line interface for scriptable inference workflows.
- [3D Generation Command-Line Interfaces](https://awesome-repositories.com/f/development-tools-productivity/command-line-interfaces/3d-slicing-command-line-interfaces/3d-generation-command-line-interfaces.md) — Provides a command-line interface for triggering 3D generation processes and exporting meshes for automated agents. ([source](https://github.com/lightningpixel/modly#readme))

### Software Engineering & Architecture

- [Remote Profile Loading](https://awesome-repositories.com/f/software-engineering-architecture/integration-extensibility/extensibility/third-party-plugins/plugin-integrations/third-party-library-integrations/remote-profile-loading.md) — Downloads and integrates additional generation methods by fetching runtime files and profiles from external repositories.
- [Manifest-Based Plugin Loading](https://awesome-repositories.com/f/software-engineering-architecture/software-architecture/architectural-patterns/plugin-module-systems/modular-plugin-architectures/plugin-based-architectures/plugin-based-architectures/manifest-based-plugin-loading.md) — Implements a manifest-driven architecture to load modular AI model extensions and runtime files.
- [3D Design Workflow Automations](https://awesome-repositories.com/f/software-engineering-architecture/3d-design-workflow-automations.md) — Automates 3D generation and mesh export workflows through a scriptable command-line interface.

### System Administration & Monitoring

- [AI Model Deployment Monitors](https://awesome-repositories.com/f/system-administration-monitoring/resource-monitoring/deployment-status-monitors/ai-model-deployment-monitors.md) — Includes a system to track the download and loading status of AI models via real-time event streams. ([source](https://github.com/lightningpixel/modly/tree/main/api))