# OpenVTO

**OpenVTO** is an open-source toolkit for building studio-quality virtual try-ons with generative AI, both as high-end still photos and short animated loops.

It provides a stable and consistent workflow for generating clean "studio avatar" images, swapping outfits from product images, and optionally turning the result into a 4-8s motion clip using image-to-video models.

OpenVTO is designed for **speed**, **consistency**, and **aesthetics**: uniform lighting, controlled backgrounds, repeatable outputs that feel like a premium fashion app.

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## What OpenVTO Includes

| Feature | Description |
|---------|-------------|
| **Avatar Base Layer** | Generate studio-quality avatars from 1–2 photos with controlled lighting and backgrounds |
| **Outfit Compositing** | Garment swap from catalog images — single items or complete bundles |
| **Still → Video Pipeline** | Animated try-ons as loop-friendly 4–8s clips using image-to-video models |
| **Prompt Templates & Guardrails** | Keep identity, body shape, and style consistent across generations |
| **Reference Implementations** | Python library with reproducible examples to get you started fast |

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## Goal

OpenVTO's goal is simple: **make it easy for teams to ship virtual try-ons that look good enough to market, not just "tech demos."**

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## Installation

```bash
pip install openvto
```

## Quick Start

```python
from openvto import OpenVTO

vto = OpenVTO()
print(vto.hello())  # Hello from OpenVTO!
```

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## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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## License

This project is open source. See the [LICENSE](LICENSE) file for details.
