Un’esperienza di shopping risponde a una domanda personale: come mi sarà in mente questo?
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.
Ogni dettaglio guadagna la tua fiducia.
Il modo in cui una scatola cade. La forma di un collo. La lettera su un pezzo preferito. I piccoli dettagli portano un sacco di significato.
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.
Migliorare l’ingegneria Più spazio da creare.
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.
Per i nostri ingegneri, questo significa più capacità di testare e raffinare. Per gli acquirenti, significa meno tempo di attesa per vedere l'aspetto.
Vediamo cosa arriva dopo.
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.
Scopri il Lambda Storia del cliente e Tecnica profonda di Dive Per un'occhiata più approfondita al lavoro dietro l'esperienza.