SAMI156/AI-Image-Sticker-Generator

🖼️ AI Sticker Generator API

Welcome to the AI Sticker Generator API! This API is designed to transform images into high-quality "stickers" by isolating the primary object using advanced semantic segmentation techniques. The stickers produced have smooth, feathered edges to ensure a polished and professional look.

Examples

Before and After Transformation

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📋 Key Features

🔍 Semantic Segmentation

Automatically identifies and isolates the main subject in an image, providing precise cutouts for clear and visually appealing stickers.

🌟 Feathered Edges

Applies a Gaussian blur to the mask edges, creating a soft and natural transition to transparency for a more polished finish.

⚡ Built with FastAPI

Utilizes FastAPI for high performance, scalability, and fast response times suitable for production environments.

📂 Versatile Image Support

Supports PNG and JPEG formats, ensuring compatibility with widely used image types.

🚀 Quick Start Guide

1. Clone the repository and navigate to the project directory.
2. Install dependencies (requires Python 3.8+).
3. Start the API server using the provided configuration file.
4. Once the server is running, the API is accessible locally, ready to accept image uploads for sticker generation.

🛠️ API Endpoints

POST /create_sticker/

• Description: Upload an image to generate a sticker with a transparent background.
• Supported File Types: PNG and JPEG formats.
• Response: Returns a PNG image of the sticker with a transparent background. In case of an unsupported file format, an error message will be returned.

🧩 How It Works

1. Model & Preprocessing: Uploaded images are preprocessed and passed through a pre-trained model for semantic segmentation.
2. Mask Generation: A binary mask isolates the main object in the image.
3. Edge Feathering: A Gaussian blur is applied to mask edges, creating a smooth transition.
4. Sticker Creation: The mask adds transparency, producing an image that can be directly used as a sticker.

📂 Directory Structure

Generated stickers are saved in a designated output directory, ensuring easy access and organization of created stickers.

⚙️ Configuration

Before running the application, confirm that the output directory exists. This directory is essential for storing generated stickers for easy retrieval and management.

📜 License

Licensed under the MIT License, allowing easy adaptation and building upon this work.

🙋‍♂️ Contributing

Contributions are welcome! To contribute, create a new issue or pull request for bug fixes, enhancements, or new features. All contributions should adhere to the project's coding standards and guidelines.

Built with ❤️ by [SAMIULLAH]

📞 Support

For support or inquiries, please contact [email protected].