An AI-powered skill that transforms natural language and reference images into high-quality 3D models with PBR textures.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 3d-model-generation
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 3d-model-generation 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 3D Model Generation?
The 3D Model Generation skill leverages the each::sense AI to bridge the gap between conceptual design and 3D production. By integrating this capability through Openclaw Skills, developers and designers can instantly generate complex assets for games, furniture, vehicles, and architectural visualizations without manual modeling.
This tool is designed for high-fidelity output, supporting Physically Based Rendering (PBR) textures to ensure that generated assets look realistic in modern rendering engines like Unity, Unreal, and various web-based AR/VR frameworks. It provides a flexible interface for both text-to-3D and image-to-3D workflows, making it an essential addition to any creative pipeline using Openclaw Skills.
3D Model Generation Use Cases
- Rapidly prototyping 3D game assets including characters, weapons, and environment props.
- Converting 2D product photos into 3D models for e-commerce and AR try-on experiences.
- Generating architectural elements and interior furniture for real estate visualization projects.
- Creating high-resolution PBR texture maps such as albedo, normal, and roughness for realistic surfaces.
- Batch producing themed asset packs for tabletop or video game development.
How 3D Model Generation Works
- The user provides a detailed natural language prompt or a publicly accessible reference image URL.
- The skill transmits the request to the each::sense API, specifying parameters like quality mode and session identity.
- The AI engine processes the input to generate optimized 3D geometry and corresponding texture maps.
- Production-ready files are generated in industry-standard formats like GLB, FBX, or OBJ.
- Using session-based memory, the user can provide follow-up instructions to iterate on and refine the model.
3D Model Generation Setup
To begin using this skill within the Openclaw Skills ecosystem, follow these steps:
- Obtain an API key from eachlabs.ai.
- Configure your environment variable:
export EACHLABS_API_KEY='your_api_key_here'
- Execute a test generation using curl:
curl -X POST https://sense.eachlabs.run/chat \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{"message": "A futuristic sci-fi helmet", "mode": "max"}'
3D Model Generation Data Schema & Taxonomy
The skill organizes output data based on standard 3D industry formats and metadata requirements:
| Format | Extension | Primary Use Case |
|---|---|---|
| GLB/GLTF | .glb, .gltf | Universal web, AR/VR, Unity, and Unreal Engine |
| OBJ | .obj | Legacy support and 3D printing preparation |
| FBX | .fbx | Character animation and complex game engine imports |
| USDZ | .usdz | Optimized for Apple AR Quick Look |
Additionally, the skill manages metadata via a session_id to maintain context during iterative design cycles within Openclaw Skills.
3D Model Generation Advanced Features
- Multi-turn iteration: Use session IDs to refine specific parts of a model (e.g., 'add more detail to the hilt').
- Dual-mode processing: Choose between 'max' for production-ready hero assets or 'eco' for fast concept exploration.
- PBR Map Generation: Automatically creates albedo, normal, roughness, metallic, and AO maps at up to 4K resolution.
- Topology Control: Supports requests for specific geometry needs such as low-poly optimization or T-pose character rigging.
SKILL.md
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