Diffusion-based multi-modal virtual try-on pipeline demo
Generate imaginative cat-themed images using text prompts
Generate anime pony images
High quality Images in Realtime
Generate images using control modes and prompts
Generate images from text descriptions
Generate images based on text prompts
Generate images with SD3.5
FLUX.1-Schnell on serverless inference, no GPU required
Generate detailed lineart images from simple prompts
FLUX.1 RealismLora
Generate images using prompts and selected LoRA models
The Metropolitan Museum of Art Collection
Virtual Try-On Diffusion [VTON-D] is an AI-powered tool designed for creating realistic virtual try-on experiences. It leverages advanced diffusion technology to generate high-quality images where users can see themselves wearing different clothing items without physically trying them on. This tool is particularly useful for e-commerce, fashion enthusiasts, and anyone looking to explore outfit combinations digitally.
What is the technology behind VTON-D?
VTON-D uses diffusion-based AI models to generate high-quality virtual try-on images by combining user-provided photos with clothing items.
Can I use my own clothing images?
Yes, VTON-D supports custom clothing uploads, allowing you to try on items you already own or find online.
Is VTON-D suitable for e-commerce businesses?
Absolutely! VTON-D is a powerful tool for businesses to enhance customer engagement by enabling virtual try-ons, improving purchasing decisions, and reducing returns.