nxnai/Voost
[SIGGRAPH Asia 25] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
This tool helps fashion brands, retailers, and marketers create photorealistic images of people trying on clothes, or virtually removing garments from models. You input an image of a person and an image of clothing, and it outputs a new image showing the person wearing that clothing. This is perfect for e-commerce managers, fashion designers, and digital artists who need to visualize clothing on models without physical photoshoots.
338 stars. No commits in the last 6 months.
Use this if you need to quickly generate high-quality images of clothing on diverse models for online catalogs, marketing campaigns, or design previews.
Not ideal if your primary need is for physically accurate garment simulation or real-time augmented reality try-on.
Stars
338
Forks
26
Language
—
License
—
Category
Last pushed
Oct 14, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/nxnai/Voost"
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