semvec/pypi-packages huggingface dataset:
vintagify 0.1.2
A simple CycleGAN-based image translation package (modern <-> vintage)
License: MIT
Requires Python: >=3.7

# vintagify

A simple Python package for image-to-image translation using  CycleGAN model.  
Easily convert modern photos into vintage-style images with just one function call.

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## ✨ Features

- 🎨 Translate modern images to vintage style using pretrained model.
- 🔁 Based on CycleGAN with unpaired training capability.
- 📦 Packaged with built-in pretrained model – no extra downloads required.
- 🔧 Simple API, minimal setup.

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## 📦 Installation

Install via pip:

```bash
pip install vintagify
```
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## 🚀 Quick Start

```python
from vintagify import translate_image

translate_image("photo.jpg", "photo_vintage.jpg")
```

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## 📐 Input Requirements

- Input image should be at least **500×500** pixels.
- The image will be automatically center-cropped and resized to 512×512.

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## 📝 License

MIT License © 2025 beingbetter11643