Unknown Organization (20250077055). PROMPTED TEXT-TO-IMAGE GENERATION: Difference between revisions
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==Inventor(s)== | |||
[[:Category:Curt Davidson of San Marcos CA (US)|Curt Davidson of San Marcos CA (US)]][[Category:Curt Davidson of San Marcos CA (US)]] | |||
==PROMPTED TEXT-TO-IMAGE GENERATION== | |||
This abstract first appeared for US patent application 20250077055 titled 'PROMPTED TEXT-TO-IMAGE GENERATION | |||
==Original Abstract Submitted== | |||
methods, non-transitory computer-readable storage media and computer or computer systems are described which include or relate to inputting or receiving information on one or more image characteristics from a graphical user interface, outputting one or more questions or options for additional details of the one or more image characteristics on a graphical user interface by way of a generative artificial intelligence language model performed on one or more processor, inputting or receiving the additional details from the graphical user interface, and outputting one or more images by way of a generative artificial intelligence text-to-image model performed on one or more processor based on the one or more image characteristics and the additional details. | |||
[[Category:G06F3/0484]] | |||
[[Category:G06F9/451]] | |||
[[Category:G06N3/045]] | |||
[[Category:G06N3/0475]] | |||
[[Category:G06N3/08]] | |||
[[Category:G06T11/60]] | |||
[[Category:CPC_G06F3/0484]] | |||
Latest revision as of 02:21, 17 March 2025
PROMPTED TEXT-TO-IMAGE GENERATION
Organization Name
Inventor(s)
Curt Davidson of San Marcos CA (US)
PROMPTED TEXT-TO-IMAGE GENERATION
This abstract first appeared for US patent application 20250077055 titled 'PROMPTED TEXT-TO-IMAGE GENERATION
Original Abstract Submitted
methods, non-transitory computer-readable storage media and computer or computer systems are described which include or relate to inputting or receiving information on one or more image characteristics from a graphical user interface, outputting one or more questions or options for additional details of the one or more image characteristics on a graphical user interface by way of a generative artificial intelligence language model performed on one or more processor, inputting or receiving the additional details from the graphical user interface, and outputting one or more images by way of a generative artificial intelligence text-to-image model performed on one or more processor based on the one or more image characteristics and the additional details.