📸 Product Photoshoot Engine - AI-Driven Product Imagery

The Product Photoshoot Engine is a cost-effective, AI-powered solution for generating high-quality product images against various backgrounds. Built using Stable Diffusion through Automatic 1111, this project allows e-commerce businesses to create stunning visuals for products, enhancing customer engagement while significantly reducing traditional photoshoot costs.

🌟 Features

• Dynamic Backgrounds: Automatically generates product images with diverse backgrounds such as sand, snow, forest, and water.
• Cost-Effective: Eliminates the need for expensive product photoshoots, reducing costs by up to 50%.
• Engagement Boost: Enhances customer engagement by providing visually appealing product imagery.
• Scalable: Capable of handling large volumes of product images, making it suitable for businesses of all sizes.

🚀 Tech Stack

• Stable Diffusion: Used for generating high-quality, realistic product images.
• Automatic 1111: Interface for managing the image generation workflow.
• Python: Core programming language for implementing the engine and automating the workflow.
• Jupyter Notebooks: Used for experimentation, data preprocessing, and model fine-tuning.

🧠 How It Works

• Data Input: The engine takes input images of products (e.g., bottles, shoes) in a plain background.
• Image Generation: Uses Stable Diffusion to place the product in various simulated environments like snow, sand, forest, or water.
• Customization: Provides options to modify settings such as lighting, angles, and background types for more versatile outputs.

📝 Project Structure

Here's a breakdown of the key components of this project:

• src/: Main code files and scripts for the image generation engine.
• assets/: Contains sample input images and background assets.
• models/: Includes the pre-trained Stable Diffusion model or links for downloading it.
• results/: Stores generated product images with different backgrounds.
• notebooks/: Jupyter Notebooks for model fine-tuning, testing, and experimentation.
• requirements.txt: Lists the Python dependencies for this project.

🛠️ Getting Started

Prerequisites

• Python 3.8+
• Automatic 1111
• Stable Diffusion

Installation

1. Clone this repository:

   git clone https://github.com/your-username/product-photoshoot-engine.git
   cd product-photoshoot-engine

2. Install the required packages:

   pip install -r requirements.txt

3. Set up Stable Diffusion: Follow the instructions in the Automatic 1111 repository to set up the Stable Diffusion environment.

Usage

1. Prepare Input Images:

   • Place the product images in the assets/input/ directory.

2. Run the Engine:

   python src/run_engine.py

3. View Results:

   • Generated product images will be saved in the results/ directory.

🤝 Contributing

Contributions are welcome! Feel free to fork this repository, make changes, and submit a pull request. For major changes, please open an issue first to discuss what you would like to modify.

🎯 What's Next?

• Incorporating more background options, including urban and indoor scenes.
• Adding user-friendly interface options for easier product image customization.
• Integrating AI-based product segmentation for automatic background removal before applying new environments.