{"repo":"AgarwalYash14/ORLA","free":true,"listed":false,"github":"https://github.com/AgarwalYash14/ORLA","clone":"git clone https://github.com/AgarwalYash14/ORLA.git","description":"ORLA is a web application that transforms text prompts into detailed 3D models using advanced AI technologies. With an intuitive interface and powerful backend, ORLA enables users to generate high-quality 3D assets quickly and easily.","language":"TypeScript","stars":18,"topics":["celery","docker","fastapi","hunyuan3d","python","reactjs","redis","stable-diffusion","tailwindcss","threejs"],"license":"MIT","category":"machine-learning","readme_excerpt":"ORLA AI-Powered 3D Model Generator Features • Screenshots • Technology • Get Started ORLA is a web application that transforms text prompts into detailed 3D models using advanced AI technologies. With an intuitive interface and powerful backend, ORLA enables users to generate high-quality 3D assets quickly and easily. Screenshots ORLA Homepage with main interface Features - Text-to-3D Generation : Create 3D models from textual descriptions - Image-to-3D Conversion : Transform 2D images into detailed 3D models - Interactive 3D Viewer : Examine and interact with generated models in real-time - Multiple Output Images : View various angles and renderings of your 3D creation - User-Friendly Interface : Modern, responsive design built with React and TypeScript Technology Stack Frontend - React 19 with TypeScript - Three.js with React Three Fiber for 3D rendering - Tailwind CSS for styling - Vite as the build tool and development server Backend - FastAPI for RESTful API endpoints - Celery for asynchronous task processing - Redis for task queue management - Stable Diffusion 3.5 AI model for image generation - Hunyuan3D-2 AI model for 3D model creation - Docker for containerization Getting Started Prerequisites - Node.js 18+ and npm - Python 3.9+ - Docker and Docker Compose - Hugging Face API token (for accessing the Hunyuan3D-2 model) Installation 1. Clone the repository 2. Set up the frontend 3. Set up the backend 4. Set environment variables Create a .env file in the server directo","default_branch":null,"files":null,"tree":[],"storefront":"/r/AgarwalYash14","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AgarwalYash14/ORLA/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}