US 11,941,678 B1
Search with machine-learned model-generated queries
Arash Sadr, Belmont, CA (US); and Alice Au Quan, San Francisco, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Feb. 23, 2023, as Appl. No. 18/173,449.
Claims priority of provisional application 63/433,559, filed on Dec. 19, 2022.
Claims priority of provisional application 63/433,111, filed on Dec. 16, 2022.
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0601 (2023.01)
CPC G06Q 30/0627 (2013.01) [G06Q 30/0621 (2013.01); G06Q 30/0643 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A computing system for searching with a machine-learned model-generated data query, the system comprising:
one or more processors; and
one or more non-transitory computer-readable media that collectively store instructions that, when executed by the one or more processors, cause the computing system to perform operations, the operations comprising:
obtaining a prompt input, wherein the prompt input comprises one or more terms;
processing the prompt input with an image generation model to generate one or more model-generated images, wherein the one or more model-generated images are generated based at least in part on the one or more terms, wherein the image generation model was trained to process text data to generate one or more images comprising predicted pixels associated with an object with one or more attributes, wherein the text data is descriptive of the object and the one or more attributes;
determining one or more search results based on the one or more model-generated images, wherein the one or more search results are associated with one or more model-generated objects depicted in the one or more model-generated images; and
providing a search results interface, wherein the search results interface provides the one or more search results for display.