3D Product Marketing Pipeline

An automated pipeline that transforms a text description into a production-ready 3D asset and marketing campaign.

🚀 Features

• Concept to Image: Uses Gemini 1.5 to refine product concepts and generate high-quality visual prompts.
• Image to 3D: Full integration with Meshy.ai to create professional PBR-textured 3D meshes (.glb) using base64 encoding.
• Virtual Photoshoot: Automated offscreen rendering of the 3D asset into studio-quality marketing shots using pyrender and trimesh.
• Marketing Intelligence: AI-driven analysis of the final render to produce targeting strategies, slogans, and ad copy.

🛠️ Tech Stack

• AI: Google Gemini 1.5 Pro/Flash, Meshy.ai
• 3D: Trimesh, Pyrender (requires OpenGL/GPU or OSMesa)
• Language: Python 3.10+

📦 Installation

1. Clone the repository:

   git clone <your-repo-url>
   cd 3dmeshlogic

2. Install dependencies:

   pip install -r requirements.txt

   Note: pyrender may requires a valid OpenGL context or OSMesa for headless operation.

3. Setup Environment: Create a .env file from the template:

   cp .env.example .env

   Add your API keys:

   • GOOGLE_API_KEY: Get from Google AI Studio.
   • MESHY_API_KEY: Get from Meshy.ai Dashboard.

🎮 Usage

Run the pipeline with a single command:

python main.py "A modern ergonomic desk lamp with carbon fiber finish"

The results will be available in the outputs/ directory:

• outputs/images/: The initial product concept.
• outputs/meshes/: High-quality 3D models (.glb).
• outputs/photoshoots/: Rendered production shots.

🛡️ License

MIT