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A web app to upload images and remove their backgrounds using the RMBG-1.4 model.

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AbolDev/image-background-remover-webapp

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Image Background Remover Web Application

This web application allows users to remove backgrounds from images with ease using the RMBG-1.4 model from Hugging Face. With an intuitive interface and advanced functionality, the application provides fast, efficient, and high-quality background removal, suitable for various use cases.

Key Features

  • Efficient Background Removal: Utilizes the RMBG-1.4 model for fast and precise background extraction in seconds.
  • User-Friendly Interface: Drag-and-drop functionality, along with a clean, responsive design, makes the application easy to use.
  • Dark & Light Modes: Switch between dark and light themes for optimal visibility and user experience.
  • Instant Preview & Comparison: Users can preview the processed image before downloading, with a slider to compare the original and processed images.
  • Download Processed Images: Save images directly after background removal, with the option for high-quality output.
  • Lightweight & High-Speed: The RMBG-1.4 model is optimized for performance, allowing it to run on regular servers without requiring high-end resources.
  • Cross-Browser Compatibility: Tested across major web browsers to ensure consistent functionality and appearance.

Technology Stack

  • Backend: Python, Flask
  • Model: RMBG-1.4 (Hugging Face)
  • Frontend: HTML, CSS, JavaScript

Screenshot

Interface Before Upload

This is the interface before an image is uploaded:

Interface Before Upload

Interface After Upload

This is the interface after an image is uploaded and ready for background removal:

Interface After Upload

Installation

To set up and run this project locally, follow these steps for both Windows and Linux:

1. Clone the Repository

First, clone the repository to your local machine:

git clone https://github.com/AbolDev/image-background-remover-webapp.git
cd image-background-remover-webapp

2. Create a Virtual Environment

It's recommended to create a virtual environment to manage dependencies independently of other projects.

On Windows

  1. Open Command Prompt (CMD) or PowerShell.
  2. Run the following commands:
    python -m venv venv
    venv\Scripts\activate

On Linux

  1. Open your terminal.
  2. Run the following commands:
    python3 -m venv venv
    source venv/bin/activate

After activating the environment, you should see (venv) at the beginning of your command line prompt, indicating that the virtual environment is active.

3. Install Dependencies

With the virtual environment active, install the required dependencies using pip:

pip install -r requirements.txt

4. Run the Application

Once the dependencies are installed, start the Flask web server:

python app.py

By default, the application will be accessible at http://127.0.0.1:80.

Deactivating the Virtual Environment

When you’re done, you can deactivate the virtual environment:

  • On Windows, type:

    venv\Scripts\deactivate
  • On Linux, type:

    deactivate

Following these steps ensures a clean and isolated setup, making it easier to manage dependencies and prevent conflicts.

Usage

  1. Upload Image: Use the “Click to upload” or drag-and-drop your image file into the designated area.
  2. Remove Background: Click the "Remove Background" button to start processing.
  3. Download Image: Once processing is complete, click "Download Image" to save the image with the background removed.

Example of Background Removal

Below is an example showing an image before and after background removal:

Original Image:

Before Image

Processed Image:

Processed Image

Model Information

The background removal is powered by the RMBG-1.4 model, provided by Hugging Face. This model is lightweight and designed to operate on typical server setups, offering reliable and high-speed performance without requiring GPU resources. For more details, visit the model page on Hugging Face.


Feel free to reach out for support or contribute to the project through the repository’s issue tracker. We welcome any feedback or suggestions to enhance the application.

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A web app to upload images and remove their backgrounds using the RMBG-1.4 model.

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