Virtual Cloth Try-On AI

An AI-powered virtual try-on application that allows users to visualize how clothing items would look on their photos. Built with Next.js and integrated with the OOTDiffusion model.

Features

• Virtual try-on functionality for clothing items
• Support for different clothing categories
• Customizable generation parameters
• Real-time image processing
• Error handling and retry mechanisms

Tech Stack

• Frontend: Next.js, React
• Backend: Next.js API Routes
• AI Model: OOTDiffusion via Gradio Client
• Deployment: Vercel

Prerequisites

Before you begin, ensure you have installed:

• Node.js (version 16 or higher)
• npm or yarn package manager

Installation

1. Clone the repository:

git clone https://github.com/yourusername/virtual-cloth-try-on-ai.git
cd virtual-cloth-try-on-ai

2. Install dependencies:

npm install
# or
yarn install

3. Create a .env.local file in the root directory and add your Hugging Face token:

HUGGING_FACE_TOKEN=your_token_here

Running the Application

Start the development server:

npm run dev
# or
yarn dev

Open http://localhost:3000 with your browser to see the application.

Deployment

The application is configured for deployment on Vercel. Important notes:

• The serverless function timeout is set to 60 seconds (Vercel hobby plan limitation)
• Ensure all environment variables are properly set in your Vercel project settings

To deploy:

vercel --prod

Usage Limitations

• Maximum processing time: 60 seconds per request
• Image size and format requirements: [Add specific requirements]
• API rate limits: [Add rate limit details]

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

• Ali Hamza Kamboh (@ahkamboh)

License

MIT License

Hugging Face Model

• OOTDiffusion model by ahkamboh

• Next.js framework by Vercel