En stor shoppingoplevelse besvarer en personlig spørgsmål: Hvordan vil dette se på mig?
SPREEAI brings that answer into view. One photo becomes a way to explore a garment on yourself, with the detail and familiarity that make an image feel real.
Behind that moment is years of research, careful engineering, and infrastructure built to keep pace. Our collaboration with Lambda helps bring those pieces together.
Hver detalje får din tillid.
Den vej, en sløve falder. Form af en hals. Det er en tekst på et yndlingsstykke. Små detaljer har en masse mening.
Our virtual try-on model brings pose, fabric, identity, and garment detail into one generation process. It is trained to understand how clothing changes across bodies and positions while preserving what makes the person recognizable and the garment distinctive.
That is what photorealism asks of us: care at every level, even where the technology is invisible.
Bedre teknikk Mere plads til at skabe.
Working alongside Lambda’s machine learning engineers, our team refined how training data is stored, how experiments are scheduled, and how compute is used on Lambda’s NVIDIA H100 infrastructure.
Lambda’s latest case study reports storage costs reduced by more than 30× and model FLOPs utilization rising from roughly 20% to 43%—a measure of how much available compute becomes useful model work. Per-try-on inference time fell from 23 seconds to under 10.
For vores ingeniører betyder det mere evne til at teste og forfines. For købere betyder det mindre tid at vente på at se udseendet.
Se hvad der kommer næste.
We are building toward richer ways to explore fashion, including layered looks and video try-on. The ambition is simple: give people a clearer sense of what they are choosing, wherever they shop.
Udforsk Lambda's Kundes historie og Teknisk dybd For at se nærmere på arbejdet bag erfaring.