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Gemini can now create personalized AI images by digging around in Google Photos

The feature uses labeled Google Photos and app data to create more personalized images, with Google saying it will not directly train on private photos.

  • On Thursday, Google announced the expansion of Personal Intelligence to Nano Banana, allowing Gemini to generate images informed by user data from Google Photos, Gmail, and other connected apps.
  • Previously, users had to write detailed descriptions and manually upload reference photos to give Gemini the right context; this update streamlines the process by automatically pulling relevant information from a user's digital history.
  • Using labels in Google Photos, the system identifies subjects like "my family" or "my dog" for custom visuals, while a Sources button provides transparency about which data informed each output.
  • The feature rolls out to United States subscribers in the coming days, though Europe is excluded from the initial launch; Google stated Gemini "does not directly train its models on your private Google Photos library."
  • By integrating cross-product data, Google aims to create a "personalization moat" against rivals like OpenAI, though the reliance on deep user data creates a significant trade-off between tailored AI experiences and privacy.
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TechCrunch broke the news in United States on Thursday, April 16, 2026.
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