Co-creating the future of fashion with Google
Two fashion designers created custom tools in Google Flow to help with set design and styling for New York Fashion Week.
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Google’s Envisioning Studio partnered with designers Jane Wade and Sergio Hudson to streamline fashion production using Google Flow. These AI tools helped Jane virtually style runway looks and allowed Sergio to visualize his show within a strict budget. You can now build your own custom design tools in Google Flow using simple language, no coding required.
"Co-creating the future of fashion with Google Flow" explores how AI helps designers work smarter.
Google Flow helps fashion designers spend less time on logistics and more on creating.
The Styling Suite lets designers virtually curate runway looks to save time and materials.
Runway Visualization helps designers plan shows and lighting while staying within their set budgets.
You can build your own custom tools in Google Flow without needing any coding skills.
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Ask an independent fashion designer how they actually spend their time, and "designing clothes" is rarely the answer. Administrative tasks, factory logistics, and vendor coordination take up the bulk of their days, leaving very little time for design.
Ahead of New York Fashion Week, Google’s Envisioning Studio, with support from Google Labs, set out to streamline the creative workflow process—helping designers bring ambitious runway visions to life with less friction.
Google engineers worked side by side with designers Jane Wade and Sergio Hudson , using Google Flow , our AI creative studio, to build two specialized tools to address their specific challenges. Jane’s Google Flow tool helped her create balanced head-to-toe looks before producing physical samples. Sergio used his tool to stage his runway on a tight studio budget.
Virtually styling a collection
The Google Flow tool we co-created with Jane, Styling Suite, mapped every facet of her runway model looks. In-person casting and fittings typically consume up to three full days for a design team. The tool allowed her to curate hair, makeup, accessories, shoes, and garments on digital models, then play with the styling virtually. She was able to balance each look and identify missing elements before cutting and sewing additional pieces.
Grounding runway design in a real budget
Sergio’s main challenge was staging his show without breaking his budget. In the past, asking his production crew to change lighting and props added to the overall costs, since a new 3D rendering was needed for every design revision. Our co-developed Google Flow tool, Runway Visualization, eliminated the back-and-forth by simulating his runway. It let him adjust the set-up of his venue and swap the lighting and props with options that worked within his budget. He was also able to refine which paths the models would walk, allowing him to harmonize the show and viewer experience.
Moving fashion AI out of pilot mode
The results of these collaborations were visible on the runways at New York Fashion Week — and there’s room for more innovation.
While there’s plenty of excitement around AI in the fashion industry, many projects remain stuck in theoretical testing. AI can make the production process smoother for designers by co-developing tools that work within their existing processes and ensure they’re firmly in the driver’s seat.
Build your own bespoke tools in Google Flow using natural language to describe the tool or workflow you’re looking to create, no coding experience required.
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