Real-Time Video Try-On

Generative AI try-on applied to a live video feed instead of a static photo, like a mirror that changes your outfit.

What is real-time video try-on?

Real-time video try-on applies generative AI try-on to a live camera feed: the shopper sees themselves on screen wearing a different garment, and the rendered clothing follows their movements like a mirror. It combines the fabric realism of garment transfer with the interactivity that was previously exclusive to AR try-on.

It is the emerging frontier of virtual try-on. Photo-based try-on is the production standard today; real-time video generation became credible in 2025-2026 with specialized models (such as Decart's Lucy series) that generate video frames fast enough to feel live.

A static photo try-on result compared with a real-time video try-on feed
A static photo try-on result compared with a real-time video try-on feed

How it differs from existing methods

Photo try-onAR try-onReal-time video try-on
OutputStatic generated imageLive 3D overlayLive generated video
Fabric realismHighLimitedHigh
InteractivityNone (one result)FullFull
Compute costSeconds of GPU per imageRuns on deviceVery high (GPU per frame)
Production maturityStandardStandard for rigid itemsEmerging

The hard parts

  • Latency: each frame must be generated in tens of milliseconds; a diffusion model normally takes seconds per image.
  • Temporal consistency: the garment must stay identical across frames, with no flickering folds or shifting patterns.
  • Cost: per-frame GPU generation is orders of magnitude more expensive than one photo render, which currently limits deployment at e-commerce scale.

FAQ

Questions, answered.

Is real-time video try-on available for online stores today?

Mostly not yet at production scale. The models exist and demos are public, but per-frame generation costs make photo-based try-on the practical choice for storefronts today. Costs follow the usual trajectory of generative AI: down.

Related terms

Virtual Try-On (VTO)
Technology that lets shoppers preview how a product looks on them (or in their space) before buying.
Garment Transfer
The AI process of rendering a clothing item from a product photo onto an image of a person.
Diffusion Model
A generative AI architecture that creates images by learning to reverse a gradual noising process.
AR Try-On
A real-time experience that overlays 3D product models onto a live camera view of the shopper.

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