Summary created by Smart Answers AI
In summary:
- Tech Advisor reports that Google Gemini now offers personalized image generation through its ‘Personal Intelligence’ feature for AI Pro and Ultra subscribers.
- The feature pulls context from users’ Google Photos, Gmail, YouTube history, and search data to create customized imagery based on personal taste and lifestyle.
- Google emphasizes this integration is opt-in only and assures users that private photos aren’t used for direct model training.
Google has introduced a new feature in Gemini that allows the use of personal data from your Google account to generate personalized images instantly using the Nano Banana 2 image model.
This feature, named “Personal Intelligence,” can extract context from sources like Google Photos, Gmail, YouTube, and search history. It provides examples such as “Design my dream house” or “Create a picture of my desert island essentials” to create unique visuals that match your preferences and lifestyle.
The system can also utilize tags in Google Photos to identify people or pets, ensuring that prompts including terms like “dad” or “mum” are accurately represented without the need for uploading additional photos.
Users can provide feedback on results, manually choose reference images by clicking the + icon, and view the image sources used by the model.

Google reassures users about privacy concerns, stating that “The Gemini app does not directly train its models on your private Google Photos library. We train on limited info, like specific prompts in Gemini and the model’s responses.”
The feature is opt-in, allowing users to adjust settings at any time. Personal Intelligence is currently exclusive to AI Pro and AI Ultra subscribers in the Gemini app. The subscription prices are £18.99 per month for AI Pro in the UK and $19.99 in the US, while AI Ultra costs £234.99 per month in the UK and $249.99 in the US, with a discounted offer available at present.
For more information, read: Oh no, Gemini has me hooked
This article was originally published on our partner site M3 and has been translated and adapted from Swedish.