Multi-Image Fusion Generator 🚀

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🖼️ Project Overview

Multi-Image Fusion Generator is a Flask-based web application that allows users to upload 3–5 reference images and an instruction prompt to generate a single composite AI image.

It uses OpenAI's GPT-4 Vision to describe uploaded images, and DALL·E 3 to generate a creative and coherent fused output.

Built with a focus on modularity, clean architecture, and secure API usage.

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✨ Features

• Upload 3–5 images via a simple web interface
• Input a custom prompt to guide the image fusion
• Vision-based captioning of uploaded images (GPT-4 Turbo / GPT-4o)
• Composite image generation (DALL·E 3 HD)
• Automatic image preprocessing (resize, format correction)
• Error handling for upload limits, API issues, and file validation
• Secure API key management using .env files
• Easy setup with clean modular codebase

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📸 Demo

Example:

Upload 3–5 images → Enter prompt → View AI-generated fusion!

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🚀 Tech Stack

• Backend: Python 3.8+, Flask 3.x
• AI Services: OpenAI GPT-4 Turbo (Vision), DALL·E 3
• Image Processing: Pillow
• Environment Management: python-dotenv
• HTTP Requests: requests

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🛠️ Installation & Setup

Clone the repository:

git clone https://github.com/Amarnath001/Multi_Image_Generator.git
cd Multi_Image_Generator

# Windows
python -m venv venv
venv\\Scripts\\activate

# macOS/Linux
python3 -m venv venv
source venv/bin/activate

Install the dependencies:

pip install -r req.txt

Create a .env file in the project root:

API_KEY=your-openai-api-key-here

Make sure the folders uploads/ and outputs/ exist (or will be created automatically).

Run the application:

python app.py

Open http://localhost:5000 in your browser.

⚠️ Important Note

    OpenAI API usage requires a paid account with billing enabled.

    Without GPT-4 Vision or DALL·E 3 access, full testing may not work.

    The code is structured for production-grade quality following OpenAI's API documentation.

📁 Project Structure

├── app.py                # Main Flask server
├── get_api.py             # OpenAI API interaction (GPT-4 Vision + DALL·E 3)
├── image_utils.py         # Image preprocessing helper
├── req.txt                # Python package requirements
├── templates/             # HTML pages (upload form + result page)
│   ├── index.html
│   └── result.html
├── uploads/               # Uploaded images (runtime)
├── outputs/               # Generated output images
├── README.md              # Project documentation
├── .env.example           # Example environment config


🧠 Future Improvements (Ideas) 

    Integrate CLIP/BLIP to auto-generate image descriptions.

    Add user-selectable style fusion (choose style/background separately).

    Support Stable Diffusion as an alternative backend.

    Enable batch generation for multiple fused outputs.