Google Flow helps fashion designers build custom runway tools
Google’s Envisioning Studio collaborated with designers Jane Wade and Sergio Hudson to create specialized tools in Google Flow ahead of New York Fashion Week. Wade used a styling tool to preview complete looks before making samples, while Hudson used a visualization tool to plan his runway within a limited budget. Google says users can now create their own custom design tools in Flow using natural language and no coding.
Google's Envisioning Studio, backed by Google Labs, paired engineers with Jane Wade and Sergio Hudson before New York Fashion Week. They used Flow, the company's AI creative studio, to develop two purpose-built aids tailored to each designer's workflow.
Wade's Styling Suite let her assemble and adjust full digital looks—hair, makeup, accessories, shoes, and garments—before making samples, potentially saving days otherwise spent on casting and fittings. Hudson's Runway Visualization simulated venue layouts, lighting, props, and model routes, helping him control production costs. Google says Flow users can now build similar custom tools through natural language, without coding.
This could lower some barriers for independent designers, letting them test looks and runway plans before spending on materials, fittings, or production changes. Fashion teams, models, and vendors may see workflows shift as digital previews replace some physical iterations, though the actual social effect depends on access, cost, and how widely such tools are adopted. It may also raise questions about creative labor and attribution.