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  # <center> 🐈 CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
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  <a href="https://github.com/Zheng-Chong/CatVTON/LICENCE"><img src='https://img.shields.io/badge/License-CC BY--NC--SA--4.0-lightgreen?style=flat&logo=Lisence' alt='License'>
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- <img src="resource/img/teaser.jpg" width="100%" height="100%"/>
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  <!-- This repository is the official implementation of ***CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffsuion Models***. -->
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  **CatVTON** is a simple and efficient virtual try-on diffusion model with ***1) Lightweight Network (899.06M parameters totally)***, ***2) Parameter-Efficient Training (49.57M parameters trainable)*** and ***3) Simplified Inference (< 8G VRAM for 1024X768 resolution)***.
 
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  # <center> 🐈 CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
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  <p align="center">
 
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  <a href="https://github.com/Zheng-Chong/CatVTON/LICENCE"><img src='https://img.shields.io/badge/License-CC BY--NC--SA--4.0-lightgreen?style=flat&logo=Lisence' alt='License'>
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  </a>
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  </p>
 
 
 
 
 
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  <!-- This repository is the official implementation of ***CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffsuion Models***. -->
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  **CatVTON** is a simple and efficient virtual try-on diffusion model with ***1) Lightweight Network (899.06M parameters totally)***, ***2) Parameter-Efficient Training (49.57M parameters trainable)*** and ***3) Simplified Inference (< 8G VRAM for 1024X768 resolution)***.