🎨 Preset-From-Pair — Generate a LUT from Before/After Images

This script allows you to create a LUT model (color transformation) from a pair of images — a raw image (before) and its edited version (after, e.g. from Tezza or VSCO) — and then apply that color style to an entire folder of images.

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📂 What the Script Does

1. Loads a pair of images: original.jpg (before editing) and target.jpg (after editing).
2. Builds a LUT model based on the color differences between them.
3. Applies the LUT to every image in the input_images/ folder.
4. Saves the results in the output_images/ folder.
5. (Optional) Displays a side-by-side Before/After preview.

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🚀 How to Use

1. Install dependencies:

   pip install -r requirements.txt

2. Prepare the following files/folders:

   • original.jpg — original image (unprocessed)
   • target.jpg — edited version with your desired style
   • input_images/ — folder with images you want to style

3. Run the script:

   python main.py

4. The styled images will appear in the output_images/ folder.

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🧪 Example Use Case

• original.jpg: raw photo from your camera
• target.jpg: styled photo from Tezza or another app
• The script "learns" the aesthetic from target and applies it to others

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🧠 Features

• Saves the LUT model to lut_model.pkl
• Reuse the LUT by loading it later with load_lut(path)
• Displays Before/After comparison with matplotlib
• Fast and customizable

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📦 Dependencies

Use the following requirements.txt:

numpy>=1.24
opencv-python>=4.8
matplotlib>=3.7
tqdm>=4.65
scikit-learn>=1.3

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🧊 Potential Improvements

• Export to .cube LUT format
• Support for video input
• GUI for non-programmers

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📸 Author

Built for creative workflows and quick aesthetic color transfer between images.
Useful for automating styles inspired by apps like Instagram, Tezza, VSCO, and more.

Note: This project is in the development stage.
In addition to lut-filter.py, there are two other Python scripts in this repository that can modify your images without LUT generation:

• Simple Color Shift
• Brightness Contrast Adjust Both scripts applie a Tezza-like style to images by adjusting exposure, brightness, fade, and warmth, but in different way. It processes all images in the specified input directory and saves the adjusted images to the output directory.

🧪 Usage

1. Place your input images in the input_images folder.
2. Run the script.
3. The processed images will be saved in the output_images folder.