US 12,217,340 B1
Multi-layer pre-generated content
Abhay Parasnis, Palo Alto, CA (US); Vishal Sood, Palo Alto, CA (US); Jonathan Moreira, Palo Alto, CA (US); Sripad Sriram, Palo Alto, CA (US); Hari Krishna, Palo Alto, CA (US); Frank Chen, Palo Alto, CA (US); and Perraju Bendapudi, Palo Alto, CA (US)
Assigned to Typeface Inc., Palo Alto, CA (US)
Filed by Typeface Inc., Palo Alto, CA (US)
Filed on Jul. 25, 2024, as Appl. No. 18/783,413.
Claims priority of provisional application 63/637,254, filed on Apr. 22, 2024.
Claims priority of provisional application 63/611,006, filed on Dec. 15, 2023.
Claims priority of provisional application 63/637,258, filed on Apr. 22, 2024.
Claims priority of provisional application 63/637,266, filed on Apr. 22, 2024.
Claims priority of provisional application 63/644,385, filed on May 8, 2024.
Claims priority of provisional application 63/637,275, filed on Apr. 22, 2024.
Claims priority of provisional application 63/637,277, filed on Apr. 22, 2024.
Int. Cl. G06T 11/60 (2006.01)
CPC G06T 11/60 (2013.01) [G06T 2200/24 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
identifying components of an image design that specifies how the components are combined to generate an image;
for one or more of the identified components, generating a plurality of variations of the component using one from a plurality of generative artificial intelligence (GAI) models;
detecting a request for the image, the request comprising user attributes;
for one or more of the identified components, selecting a respective variation from the plurality of variations based on the user attributes;
creating a response image, in response to the request, utilizing the image design and the one or more selected variations; and
causing presentation of the response image on a computer user interface.