Google Photos new feature: AI scans old photos, Wardrobe realizes your virtual fitting room

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Google Photos is set to launch the "Wardrobe" feature, which automatically scans user photo albums to build a digital closet and supports virtual try-ons. At its core is the "Nano Banana" model, responsible for identifying clothing, generating digital avatars, and rendering try-on effects. The feature will first launch on Android devices in the summer of 2026, with iOS support to follow later. (Context: Nano Banana 2 is here! Supporting 4K enhanced character consistency, Gemini image generation is faster and more precise.) (Background: a16z's latest top 100 AI apps list: ChatGPT remains the leader, the platform brand battle has officially begun.) The 1995 film *Clueless* features an iconic scene: the protagonist stands in front of a screen, and a computer automatically pulls clothes from her closet to instantly match an outfit for the day. Today, that scene is gradually becoming a reality with the help of AI. Google announced in an official statement that Google Photos is officially launching the "Wardrobe" feature. The system will proactively scan users' photo albums, identify clothing items worn in past photos, and automatically organize them into categories such as tops, bottoms, skirts, dresses, and shoes to create an interactive digital closet. The core of the feature is the "Nano Banana" model. The system generates a digital avatar of you and then renders your selected clothing combinations onto that avatar to complete a "virtual try-on." The entire process runs on-device. Users do not need to upload any additional data; the system processes existing photos locally. Favorite combinations can be saved as "moodboards" and shared with friends. However, it is worth noting that Nano Banana is responsible for identification and rendering, not for "suggesting what you should wear today." It is a tool, not a stylist. Google launched an AI try-on feature in Search in 2025, but the use case for that version was: you search for a product on Google and want to know how it looks, so the system lets you try it on to decide whether to buy it. The core logic was "shopping assistance." The logic for this Wardrobe feature is completely different. The application object has shifted from "items you are about to buy" to "clothes you already own," moving from a consumer-behavior focus to a daily-management focus. Users' photo albums are no longer just memory repositories, but have become actionable clothing databases. Some Android devices (such as Motorola Razr) are already testing the feature. The official version is expected to launch by the summer of 2026, with an iOS version to follow thereafter. In recent years, Google has continuously embedded AI capabilities into its consumer applications: Gemini has been integrated into Gmail, Docs, and Maps; AI-generated summaries appear in Search results; and the Photos app already features Magic Eraser for removing unwanted objects and Photo Unblur for fixing blurry photos. Wardrobe is a continuation of this path, only this time the scenario is more private: your personal fashion history. However, one question worth considering is: when an AI system can automatically build a complete profile of your clothing preferences from your photos over the past few years, where do the ownership and usage boundaries of this data lie? Google has not yet clarified in its announcement whether the Wardrobe feature will affect ad targeting, nor has it stated whether the digital closet data will be used for model training.

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