ميزة جديدة في Gemini تتيح إنشاء صور لك اعتمادًا على مكتبة صور جوجل

ميزة جديدة في Gemini تتيح إنشاء صور لك اعتمادًا على مكتبة صور جوجل

Google integrates a new feature into its Gemini platform that enables users to generate custom images based on their personal Google Photos library. This feature utilizes an advanced model designed to analyze personal photo content, allowing the system to infer user preferences such as favorite locations, frequent activities, and recurring people. The implementation aims to reduce the need for long text prompts or repetitive reference images.

By linking a photo library to a Gemini account, users can issue simple commands to create images that reflect their personal style and daily life. Examples include generating a house design matching architectural tastes or creating a scene representing supplies for a fantasy island. The system utilizes contextual data from the library, allowing it to recognize family members or friends through tags and generate scenes involving these individuals in various artistic styles.

Google indicates that this feature activates automatically for users who enable the Personalization feature and link their photo library. No complex settings are required, as the integration happens directly after linking. This capability aims to expand the use of image generation for entertainment and family purposes.

Regarding privacy, Google states that the integration operates within strict controls. The models are not trained directly on personal photo content; instead, a limited amount of information related to text prompts and system responses is used to improve performance. Users can review the data sources used by Gemini during image creation and instruct the system to correct inaccurate results.

Google notes that the feature is still in its early stages and may produce inaccurate results, particularly regarding fine details. Users can refine results by adjusting text commands or uploading reference images. This step highlights Google’s focus on developing personalized AI technologies that understand user data rather than generic responses. The rollout begins gradually for paid subscribers in the US, with plans to expand to Chrome and users globally.

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