
Google Virtual Try-On
Championed the development of an inclusive, AI-powered shopping experience that redefines how users visualize clothing online. Our approach used Google’s diffusion-based AI model to generate every pixel of the garment from scratch, achieving high-quality visuals that reflect how clothes would drape, fold, and stretch on different bodies in various poses. This was a highly collaborative effort across UX, engineering, and product teams. So incredibly proud of our teams who kept inclusivity and authenticity at the forefront of our design process.
We designed an experience using our cutting-edge new generative AI model that can take a single clothing image and realistically show how it would look on a wide array of real models. We intentionally selected models across a spectrum of sizes (XXS-4XL), skin tones (guided by the Monk Skin Tone Scale), body shapes, ethnicities, and hair types to better represent the diversity of our users.
IMPACT: Increase DAUs/MAUs, increase in coverage, positive user interactions and feedback.







UX Director Labs: Alice Quan
UX Director Shopping on Search: Pravin Sathe
UX Design Lead: Germain Ruffle
UX Manager: Taruja Parande
Content Designer: Nijai Blackwell, Elizabeth Lieber
UX Research: Nika Gagliardi, Jenny Ware
Virtual Try-on UX Team
Interested in the story, process, and strategy behind this project? Let’s connect. Please note: All pre-launch information remains confidential and is owned by Google.