Maoni ya kuvutia ya biashara inawakilisha swali moja: Ni nini kinachotokea kwangu?
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.
Kila maelezo inapata uaminifu wako.
Njia ya kuanguka kwa mti. Kwa mfano, kwa mfano wa mti. Kuandika juu ya makala favorite. Makala ndogo yana maana nyingi.
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.
Utawala bora wa kiufundi. zaidi ya nafasi ya kuunda.
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.
Kwa wataalamu wetu, hii inamaanisha uwezo mkubwa wa kujaribu na kufafanua. Kwa wateja, inamaanisha muda mdogo wa kuangalia kwa ajili ya kuonekana.
Angalia nini kinachotokea.
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.
Kujua kuhusu Lambda Historia ya Mteja na Mtaalamu wa Dive Kwa kuangalia kwa karibu kazi ya nyuma ya uzoefu.