Co-creating the future of fashion with Google
https://blog.google/innovation-and-ai/technology/ai/google-flow-fashion-week/📌 Google Flow助攻紐約時裝週,設計師免寫程式造工具
TL;DR:Google Flow讓時裝設計師用自然語言打造專屬AI工具,把時間從行政雜務搶回到設計本身。
問一位獨立時裝設計師平常都在忙什麼,答案往往不是「設計衣服」,而是行政雜務、工廠協調與供應商溝通,真正花在創作上的時間少得可憐。
🤔 紐約時裝週前的創意流程瓶頸
在紐約時裝週前,Google的Envisioning Studio在Google Labs支援下,決定針對這個痛點動手,希望協助設計師以更少摩擦實現野心勃勃的伸展臺構想。Google工程師與設計師Jane Wade、Sergio Hudson並肩合作,使用Google的AI創意工作室Google Flow,打造了兩款因應各自需求的專屬工具。
🧩 兩款客製工具:從虛擬試裝到預算內搭景
Styling Suite(與Jane Wade共創)把伸展臺模特兒造型的每個環節都對應到系統中。摘要指出,實體選角與試裝通常要耗費設計團隊整整三天,而Styling Suite讓Jane能在數位模特兒身上搭配髮型、妝容、配件、鞋履與服裝,虛擬地調整造型搭配,在真正裁剪縫製前先找出造型中缺漏的元素。
Runway Visualization(與Sergio Hudson共創)則解決另一個難題:如何在有限預算內完成整場秀的搭景。過去每次調整燈光或道具,都得重新製作一版3D渲染,成本隨修改次數疊加。這款工具讓Sergio能直接模擬伸展臺,調整場地佈局、更換符合預算的燈光與道具選項,並規劃模特兒的走秀路線,兼顧整體呈現與觀眾體驗。
💡 讓AI工具真正走出「概念驗證」階段
文中提到,這兩項合作的成果已經實際呈現在紐約時裝週的伸展臺上。儘管時尚產業對AI的討論熱度很高,許多專案卻仍停留在理論測試階段。Google認為,AI要真正發揮作用,關鍵在於與設計師既有的工作流程共同開發工具,並確保設計師本人始終掌握主導權。
🎯 自然語言建構工具,門檻對工程師也友善
Google Flow的重點在於,任何人都可以用自然語言描述自己想要的工具或工作流程,直接在Google Flow中建立客製化工具,不需要撰寫程式碼。對AI工程師而言,這種「用自然語言描述需求、由AI生成可用工具」的模式,值得留意其背後的工具生成與工作流編排機制,未來或許能延伸到時尚以外的內容創作場景。
🔗 來源
- 標題:Co-creating the future of fashion with Google
- 作者/機構:Google — Yeawon Choi
- 連結:https://blog.google/innovation-and-ai/technology/ai/google-flow-fashion-week/
#AI #GoogleFlow #GenerativeAI #FashionTech #NoCode #CreativeAI #NYFW #DesignTools #AIWorkflow #GoogleLabs
原始資料 Google AI Blog · 收集於 2026-09-18
摘要原文
Co-creating the future of fashion with Google Sep 18, 2026 | 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 Your browser does not support the audio element. Listen to article [[duration]] minutes This content is generated by Google AI. Generative AI is experimental Voice Speed Voice Speed 0.75X 1X 1.5X 2X Read AI-generated summary 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. Summaries were generated by Google AI. Generative AI is experimental. "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. Summaries were generated by Google AI. Generative AI is experimental. Explore other styles: General summary Bullet points 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. Posted in:
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