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Guide - 4 min read

How Virtual Try-On Works

The technology behind seeing yourself in an outfit you don't own yet.

How AI virtual try-on generates a realistic image of a person in an outfit

Two Inputs, One Generated Image

Virtual try-on takes two things - a photo of you, and a reference to the garment (a product photo or a description) - and generates an entirely new image showing you wearing that garment, built by an image generation model trained to understand clothing, fabric, and fit.

Preserving Identity While Changing Clothing

The hard technical problem is keeping your actual face and body consistent while changing everything about the clothing - this is where the quality gap between different try-on tools is usually most visible.

Accounting for Fit and Drape

A good result doesn't just paste the garment onto your photo - it reasons about how the fabric would actually fall given your pose and body shape, aiming for something that reads as a real photograph, not a collage.

Why Photo Quality Affects the Result

A clear, well-lit, front-facing photo gives the model far more accurate information to work with than a dark or heavily angled one - this is the single biggest factor most people can control to improve their own results.

Try It Yourself

Mirroir generates a realistic try-on image from your own photo for any recommended outfit.

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