openvto 0.0.1

Open-source toolkit for building studio-quality virtual try-ons with generative AI

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

pip install openvto

Quick Start

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 file for details.