一個偉大的購物體驗回答了一個個人問題:這會如何看待我?
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.
每一個細節都得到了你的信心。
路一片落下。 一個脖子的形狀。 寫在一個最喜歡的作品。 細節小,有很多意義。
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.
更好的工程 更多空間要創造
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.
對於我們的工程師來說,這意味著更多的測試和精煉能力。 對於買家來說,這意味著等待時間更少,以便看到外觀。
看看接下來的。
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.