VintageColorize is a web application that brings old black and white photos to life by adding color. It utilizes the powerful technology of DeOldify, developed by Jantic, which employs Self-Attention GAN and the innovative NoGAN architecture.
VintageColorize is a Streamlit application that allows users to colorize black and white photos using the DeOldify library. It provides two methods for colorizing images: through a provided image URL or by uploading an image file.
The application uses the DeOldify library, which is a deep learning-based image colorization tool. It leverages Self-Attention GAN and the NoGAN architecture to produce impressive colorized results.
The application has the following features:
- Colorize images from a provided image URL.
- Colorize uploaded image files (supported formats: jpg, png, jpeg).
- Display the colorized images in the application.
To run the VintageColorize application locally, you need to follow these steps:
- Clone the repository:
git clone https://github.com/<username>/<repository>.git
- Change into the project directory:
cd <repository>
- Install the required dependencies. It is recommended to use a virtual environment:
pip install -r requirements.txt
- Download the pre-trained DeOldify model:
wget https://data.deepai.org/deoldify/ColorizeArtistic_gen.pth
To run the VintageColorize application, use the following command:
streamlit run app.py
This command will start the application and provide a local URL (e.g., http://localhost:8501). Open the URL in your web browser to access the application.