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Google Blog:AI·· 2026-09-18AI 评分32

Google 用 Flow 为纽约时装周打造两款设计师定制 AI 工具

Co-creating the future of fashion with Google

文章要点
  • 1Google 工程师与设计师 Jane Wade、Sergio Hudson 共创,在 Google Flow 内定制两款时装周工具
  • 2Styling Suite 支持在数字模特上预演发型、妆容与配饰搭配,此前真人选角试装通常占用最多三个整天
  • 3Runway Visualization 在预算内模拟调整场地、灯光、道具与走位,过去每改一版都要重做 3D 渲染
  • 4官方称任何人可用自然语言在 Flow 中自建工具、无需编程经验,并指许多时尚 AI 项目仍停留在理论测试
决策要点

Google 用时装周实战案例推动时尚 AI 走出试点,路径是工程师与设计师共创、把工具嵌进既有流程。

  • 影响:设计与内容类团队可用数字预演替代部分实体试装和渲染返工,直接压缩时间和预算;工具要嵌入现有流程、由使用者掌握主动权才易落地;停留在理论测试的 AI 项目难有实际产出。
  • 参考:可考虑挑一个反复改稿、渲染或打样成本高的创意环节,在 Flow 这类平台用自然语言试建预演工具并记录耗时对比;值得先盘点团队日常中被沟通往返占用的流程清单。
  • 依据:案例与数字出自 Google 官方博客口径,如试装最多占三个整天、每改一版需重做 3D 渲染,暂无独立验证。
正文

Sep 18, 2026

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Two fashion designers created custom tools in Google Flow to help with set design and styling for New York Fashion Week.


Yeawon Choi

UX Designer, Envisioning Studio


Jane Wade and Sergio Hudson

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This content is generated by Google AI. Generative AI is experimental

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.

Jane Wade's Styling Suite Google Flow tool

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.

Sergio's Runway Visualization Google Flow tool

RunwSergio's Runway Visualization Google Flow tool ay Visualization

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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来源:Google Blog:AI · blog.google