Google created tools in Google Flow for designers Jane Wade and Sergio Hudson for New York Fashion Week
Google, together with designers Jane Wade and Sergio Hudson, created Styling Suite for virtual styling and Runway Visualization for simulating a fashion show in Google Flow, with the tools deployed at New York Fashion Week.
Google, through its Envisioning Studio team and with support from Google Labs, collaborated with designers Jane Wade and Sergio Hudson ahead of New York Fashion Week to create two specialized tools built on Google Flow, the AI creative studio from Google. Engineers from Google worked directly with the designers to address their specific operational challenges while preparing a collection.
For Jane Wade, they created Styling Suite, a tool that mapped all elements of the runway models' looks — hairstyles, make-up, accessories, footwear and garments — onto digital models. This allowed the designer to coordinate the styling virtually and identify missing elements before cutting and sewing the physical pieces. According to the source, standard in-person castings and fittings take a design team up to three full days.
For Sergio Hudson, they created Runway Visualization, a tool that simulates the entire show and, according to Google, removes the need to create new 3D renders every time the design is adjusted. The tool made it possible to change the venue layout, try different lighting and prop options within the budget, and fine-tune the routes the models took along the runway; according to the article, his main challenge was to organize the show within the production budget.
Google presents these collaborations as an example of AI in the fashion industry moving from experimentation to real-world deployment and emphasizes that Google Flow allows users to create custom tools by describing them in natural language without coding. The source does not provide details about any potential wider availability of the two specific tools.
Why it matters
It demonstrates a concrete use of a tool for creating custom AI applications (Google Flow) outside a developer environment — according to Google, a user can have a tool built to address a specific work problem without coding. For production teams in creative fields, the source says this means potential time savings on casting and fitting, as well as cost savings on repeated 3D renders when adjusting a design.
Two audiences, two different impacts
What this means
For individuals
With Google Flow, a designer or creative professional can create a custom tool by describing it in natural language and virtually test styling or set design before bringing it to life physically.
For a business
According to Google, similar tools can reduce production team costs for casting, fitting and repeated 3D renders when preparing a fashion show.
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