metadata

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

git clone https://github.com/Louay0007/Virtual-Try-On-Dressify.git
cd Virtual-Try-On-Dressify

2. Create a Virtual Environment

python -m venv venv

3. Activate the Virtual Environment

Windows:
```
venv\Scripts\activate
```
macOS/Linux:
```
source venv/bin/activate
```

4. Install Dependencies

pip install -r requirements.txt

Usage

1. Run the Application

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.

Demos Version

🤗

This project is a personal one

Spaces:

Duplicated from Louu007/virtual-saree-try-on

abdurr123
/

virtual-tryon-pro

Sleeping