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Gemini users can now generate images featuring real friends and family

Google’s latest update allows Gemini to pull personal context directly from user photos

By GH Web Desk |
Gemini users can now generate images featuring real friends and family
Gemini users can now generate images featuring real friends and family

Google has introduced a significant update to its Gemini application entitled "Personal Intelligence," marking a shift towards more context-aware artificial intelligence.

Powered by the Nano Banana 2 image generation model, the system can now pull data directly from services such as Google Photos to create bespoke visuals that reflect a user's actual life.

According to technology expert Amit Rahi, who has tracked consumer shifts for seven years, this update removes the traditional requirement for detailed prompts or manual reference uploads.

The integration allows Gemini to fill gaps using information across a Google account, meaning a simple request to "design my dream house" will now yield results tailored to a user's specific tastes.

Furthermore, the feature can recognise tagged individuals in Google Photos, allowing users to include real friends and family members in generated scenes.

Under the hood, the system utilises metadata and activity labels to ensure consistency, while offering creative flexibility through styles like watercolour or clay animation.

Addressing potential security concerns, Google stated that "privacy is still a priority here." The company confirmed that personal photographs are not used to train AI models, and the feature remains completely opt-in.

This rollout has commenced for Gemini AI Plus, Pro, and Ultra subscribers in select regions, with a wider release anticipated shortly.

By lowering the barrier to entry for high-quality image generation, Google aims to make advanced creative tools feel more practical for casual users.

The tech giant previously revolutionised search and productivity, and this latest move suggests a continued focus on deeply integrated, user-centric digital assistance.