VintageChrome-Pro is a professional-grade image restoration tool that breathes life into historical black and white photographs. Using state-of-the-art Deep Learning models (DeOldify), it intelligently adds realistic colors to vintage photos, making history feel like the present.
| Before (B&W) | After (Colorized) |
|---|---|
 |
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- Deep Learning Powered: Utilizes the advanced
DeOldifyNo-GAN architecture for vibrant, realistic results. - Automatic Model Setup: Automatically downloads the required pre-trained weights on the first run.
- Adjustable Render Factor: Fine-tune the colorization quality to match the resolution and texture of your specific photo.
- Cross-Platform: Works on Windows, macOS, and Linux (CUDA supported for faster processing).
- Batch-Ready CLI: Easy to integrate into automation pipelines.
- Python 3.8 or higher.
- NVIDIA GPU (Optional, but recommended for faster rendering).
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Clone the repository:
git clone https://github.com/lakshan-bandara/VintageChrome-Pro.git cd VintageChrome-Pro -
Install dependencies:
pip install -r requirements.txt
To colorize an image, simply run:
python colorizer.py path/to/your/image.jpg --output colorized_image.png| Command | Description | Default |
|---|---|---|
--render_factor / -r |
Adjust resolution/quality (10-45) | 35 |
--output / -o |
Specify the result filename | output.png |
This project is licensed under the MIT License - see the LICENSE file for details.
Lakshan
If you have any questions or need custom AI solutions, feel free to reach out:
Tip
This project was built to showcase the power of Open Source AI in digital restoration. Feel free to star ⭐ the repo if you find it useful!