A powerful AI skill that transforms text descriptions and 2D images into professional-grade 3D models and objects.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install modelslab
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install modelslab using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ModelsLab 3D Generation?
ModelsLab 3D Generation is a sophisticated tool within the Openclaw Skills ecosystem designed to bridge the gap between conceptual 2D ideas and spatial 3D reality. By leveraging advanced AI-powered 3D generation, this skill allows developers to programmatically generate 3D assets such as furniture, characters, and props using either natural language prompts or existing image files.
The skill provides a seamless interface for interacting with ModelsLab's robust v6 API, handling the complexities of asynchronous generation workflows. Whether you are building an automated game asset pipeline or an e-commerce platform that requires 3D product mockups from photos, this skill simplifies the transformation of digital content into industry-standard 3D formats like GLB, OBJ, and FBX.
ModelsLab 3D Generation Use Cases
- Creating unique 3D game assets and props from text descriptions.
- Converting 2D product photography into interactive 3D e-commerce mockups.
- Rapid prototyping of architectural elements and furniture for visualization.
- Generating 3D characters and avatars based on portrait photos.
- Automating batch generation of 3D assets for digital environments.
How ModelsLab 3D Generation Works
- The user provides a text prompt or an image URL to the specific ModelsLab 3D endpoint.
- Openclaw Skills initiates an asynchronous POST request to the ModelsLab server.
- The system returns a unique Request ID and an estimated time of arrival (ETA) for the generation.
- The skill enters a polling loop or utilizes a webhook listener to monitor the generation status.
- Upon completion, the final 3D model file URL is retrieved and returned to the user for integration.
ModelsLab 3D Generation Setup
To get started with this skill, you need a valid API key from the ModelsLab dashboard. Ensure your environment is configured to handle long-running asynchronous requests.
# Install required dependencies
pip install requests
# Set your API Key in your environment variables
export MODELSLAB_API_KEY="your_api_key_here"
ModelsLab 3D Generation Data Schema & Taxonomy
The skill processes and returns data structured for high-performance 3D applications. Key metadata includes:
| Attribute | Type | Description |
|---|---|---|
status |
String | The current state of the request (success, processing, failed) |
id |
Integer | Unique identifier for the asynchronous generation task |
output |
Array | A list of URLs pointing to the generated .glb, .obj, or .fbx files |
eta |
Number | Estimated seconds until the 3D model is ready |
ModelsLab 3D Generation Advanced Features
- Asynchronous Polling Logic: Built-in status checking with configurable timeouts for long-running 3D tasks.
- Webhook Integration: Support for callback URLs to receive model data without active polling.
- Batch Processing: Ability to queue multiple 3D generation requests simultaneously for high-volume workflows.
- Enterprise Endpoints: Access to dedicated high-resource infrastructure for low-latency generation.
- Inference Step Control: Fine-grained quality adjustment (30 to 100 steps) to balance speed and geometric detail.
SKILL.md
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