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Google Flow Empowers Fashion Designers at New York Fashion Week

Designers Jane Wade and Sergio Hudson used Google Flow to create virtual styling and budget‑aware runway tools, cutting down on physical samples and costly revisions.

Fashion designers using Google Flow tools on digital models

Google’s Envisioning Studio teamed up with fashion designers Jane Wade and Sergio Hudson ahead of New York Fashion Week to explore how AI can simplify the creative process.

Virtual styling suite

Using Google Flow, Wade built a tool that lets her assemble complete head‑to‑toe looks on digital models. She can experiment with hair, makeup, accessories, shoes and garments without sewing a single prototype, spotting missing elements before any fabric is cut.

Budget‑focused runway visualization

Hudson’s challenge was keeping production costs under control. His Flow‑based tool simulates the venue, lighting and props, allowing instant adjustments that stay within a preset budget. He can also tweak model walk‑paths to refine the audience experience.

Both tools demonstrate how generative AI can shift time from logistics and sampling back to pure design, a benefit that extends to any industry looking to accelerate product development with GPU‑powered AI workflows.

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  • google flow
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  • virtual styling
  • budget visualization
  • new york fashion week

By AiGpu Editorial · Editorial rewrite based on public reporting (Google AI Blog)

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