Cyanex1702/Virtual_Try_on_FashionGenAi
Virtual Try-On FashionGenAI is an AI-powered tool that allows users to visualize themselves in different clothes based on their own images and text prompts. The project utilizes Stable Diffusion Inpainting and the U2Net segmentation model to isolate clothing parts (upper or lower body) and generate a customized outfit based on the user's choice.
This tool helps fashion designers, stylists, and online shoppers visualize new outfits. You provide an image of a person and a text description of clothing (e.g., "a red shirt"), and it generates an image of that person wearing the described clothing. This is perfect for anyone in fashion or e-commerce looking to quickly preview clothing styles without physical try-ons.
No commits in the last 6 months.
Use this if you want to see how different clothing styles and colors look on a model or yourself without needing to physically try them on.
Not ideal if you need to simulate how an entire, complex, multi-piece outfit looks on a person, as it currently focuses on upper or lower body garments.
Stars
10
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 07, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Cyanex1702/Virtual_Try_on_FashionGenAi"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Zheng-Chong/CatVTON
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight...
rizavelioglu/tryoffdiff
[CVPR'25-Demo] Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment...
muzishen/IMAGDressing
[AAAI 2025]👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It...
muzishen/IMAGGarment
[TVCG 2026] 🎨 IMAGGarment🎨 : Fine-Grained Garment Generation with Controllable Structure,...
miccunifi/ladi-vton
[ACM MM 2023] - LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On