Google patents system to reuse AI images based on prompt similarity
Google describes a method where an AI system stores previously generated digital components along with the prompts used to create them. When a user submits a new prompt, the system compares it to stored prompts to decide whether to send an existing image or generate a new one.
In the filing’s own words
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for efficiently providing digital components that are generated using artificial intelligence based on prompts are described. In one aspect, a method includes maintaining, by an AI system, a data structure that stores a set of pre-generated digital components and, for each pre-generated digital component, a stored embedding the represents a prompt used to generate the pre-generated digital component. The AI system receives, from a device, a first input prompt for generating one or more first target digital components using one or more trained machine learning models. The AI system generates a first input embedding that represents the multi-word text of the input prompt. The AI system determines, for each pre-generated digital component, a similarity metric that represents a measure of similarity between the stored embedding used to generate the digital component and the first input embedding.
What exactly they claim (claim 1)
1. A method, comprising: maintaining, by an artificial intelligence system, a data structure that stores a set of pre-generated digital components and, for each pre-generated digital component, a stored embedding the represents a prompt used to generate the pre-generated digital component; receiving, by the artificial intelligence system from a device, a first input prompt for generating one or more first target digital components using one or more trained machine learning models, the first input prompt comprising a multi-word phrase describing characteristics of the first target digital component to be generated using the first input prompt; generating, by the artificial intelligence system, a first input embedding that represents the multi-word text of the input prompt; determining, by the artificial intelligence system and for each pre-generated digital component, a similarity metric that represents a measure of similarity between the stored embedding used to generate the pre-generated digital component and the first input embedding; and sending, by the artificial intelligence system and to the device based on each similarity metric, either (i) one or more of the pre-generated digital components stored in the data structure or (ii) one or more new digital components pre-generated by the trained machine learning model using the first input prompt.
Facts
- Company
- Google (Google LLC)
- Official title
- EFFICIENT UTILIZATION OF GENERATIVE ARTIFICIAL INTELLIGENCE
- Publication number
- US20260320094A1
- Application number
- 18861275
- Filed
- Nov 30, 2023
- Published
- Oct 15, 2026
- Inventors
- 2
- Claims
- 22
Classified under
G06F 16/334 Physics & computingG06F 16/3334 Physics & computingMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.