Pagkatapos ng mga scene sa SPREEAI at ang lambda.

Ang isang mahusay na shopping experience ay nagbibigay ng isang personal na question: Paano ito mag-aari sa akin?

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.

Ang lahat ng detalye ay nagbibigay ng iyong trust.

Ang isang lalong ng isang linya ay magkasama. Ang mga forma ng isang collar. Ang mga ito ay isang favorite piece. Ang mga detalye ay may maraming makaya.

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.

Ang mga engineering ay magandang. More room para sa pag-aaral.

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.

Para sa aming mga engineers, ito ay mag-aaral at pag-refin ang mas mahusay na kapasidad. Para sa mga customer, ito ay mag-aari ng oras na makikita ang look.

Tingnan ang nakaraang bagay.

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.

Damhin ang SPREEAI.

Ang mga taga-hanga ng Lambda Mga customer story at Technical ang mga dive Para sa isang mas mahusay na pag-aaral ang trabaho sa pagitan ng experience.