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---
title: Virtual Try-On Diffusion IEEE Dressify
emoji: 👗
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.6.0
app_file: app.py
pinned: false
short_description: Diffusion-based multi-modal virtual try-on pipeline demo.
tags:
- virtual try-on
- vton
- clothing transfer
- diffusion
- img2img
- txt2img
---
# Virtual Try-On Diffusion [VTON-D] by IEEE Dressify
Virtual Try-On Diffusion [VTON-D] by Dressify is a custom diffusion-based pipeline designed for fast and flexible multi-modal virtual try-on. This system enables tasks such as clothing transfer, avatar replacement, fashion image generation, and more by using reference images or text prompts to specify clothing, avatar, and background.
---
## Installation
### 1. Clone the Repository
```bash
git clone https://github.com/Louay0007/Virtual-Try-On-Dressify.git
cd Virtual-Try-On-Dressify
```
### 2. Create a Virtual Environment
```bash
python -m venv venv
```
### 3. Activate the Virtual Environment
- **Windows**:
```bash
venv\Scripts\activate
```
- **macOS/Linux**:
```bash
source venv/bin/activate
```
### 4. Install Dependencies
```bash
pip install -r requirements.txt
```
---
## Usage
### 1. Run the Application
```bash
python app.py
```
### 2. Access the Application
Open your browser and navigate to:
```
http://127.0.0.1:7860
```
---
## Features
- **Clothing Transfer**: Transfer garments between avatars with precision.
- **Avatar Replacement**: Easily switch between different avatars.
- **Fashion Image Generation**: Generate new fashion images based on reference images or text descriptions.
- **Multi-Modal Input**: Use text prompts or images for customization.
---
## Tags
- Virtual Try-On
- VTON
- Clothing Transfer
- Diffusion
- Image-to-Image (img2img)
- Text-to-Image (txt2img)
---
## Demos Version
- [🤗](https://huggingface.co/spaces/Louu007/ISSATM-VTO)
---
This project is a personal one
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