# US 2024/0201833 A1 · Systems and methods for customizing images based on user preferences > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0201833 A1 - Document ID: US20240201833A1 - Status: Published application - Kind: A1 - Application number: 18/081,638 - Filed: 2022-12-14 - Published: 2024-06-20 - Earliest claimed: 2022-12-14 - Assignees: Sony Interactive Entertainment Inc. - Applicants: Sony Interactive Entertainment Inc. - Inventors: Rebecca Abel; Michael Taylor; Ellana Fortuna; Warren M. Benedetto - Web page: https://patentgrep.com/patent/US20240201833A1 ## CPC - G06F 3/04845: for image manipulation, e.g. dragging, rotation, expansion or change of colour - G06F 16/5866: {using information manually generated, e.g. tags, keywords, comments, manually generated location and time information} - G06F 18/22: Matching criteria, e.g. proximity measures - G06T 3/40: Scaling of whole images or parts thereof, e.g. expanding or contracting - G06T 11/00: Two-dimensional [2D] image generation - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract Systems and methods for customizing an image based on user preferences are described. One of the methods includes receiving a textual description with a request to generate an image, accessing a user account to identify a characteristic of a user and a profile of the user, and generating the image by applying an image generation artificial intelligence (IGAI) model to the textual description based on the characteristic of the user and the profile of the user. The IGAI model is trained based on a plurality of images and a plurality of textual descriptions received from a plurality of users. The method further includes conditioning the image to confirm that the image satisfies a plurality of constraints to output a conditioned image and providing the conditioned image for display on a client device via the user account. ## Claims ### Claim 1 A method for customizing an image based on user preferences, comprising: receiving a textual description with a request to generate an image; accessing a user account to identify a characteristic of a user and a profile of the user; generating the image by applying an image generation artificial intelligence (IGAI) model to the textual description based on the characteristic of the user and the profile of the user, wherein the IGAI model is trained based on a plurality of images and a plurality of textual descriptions received from a plurality of users; conditioning the image to confirm that the image satisfies a plurality of constraints to output a conditioned image; and providing the conditioned image for display on a client device via the user account. ### Claim 2 (depends on 1) The method of claim 1, further comprising training the IGAI model based on the plurality of images and the plurality of textual descriptions received from the plurality of users, wherein said training the IGAI model includes determining a similarity between each of the plurality of textual descriptions and a respective one of the plurality of images. ### Claim 3 (depends on 2) The method of claim 2, wherein the textual description is received via the user account, wherein said applying the IGAI model includes: determining a similarity between the textual description received with the request to generate the image and each of the plurality of textual descriptions to generate image data of the image; applying the profile of the user and a plurality of profiles of the plurality of users to the image; and applying the characteristic of the user to the image. ### Claim 4 (depends on 1) The method of claim 1, wherein the profile of the user includes an age of the user and the characteristic includes a geographic location of the user, a plurality of game titles played by the user via the user account, a comment made by the user, and a preference of the user, wherein the profile is stored within the user account. ### Claim 5 (depends on 4) The method of claim 4, further comprising receiving the geographic location within a predetermined time period from receiving the textual description. ### Claim 6 (depends on 1) The method of claim 1, wherein the plurality of constraints include image data of the plurality of images. ### Claim 7 (depends on 1) The method of claim 1, wherein said conditioning the image includes upscaling the image and including missing portions within the image. ### Claim 8 A server system for customizing an image based on user preferences, comprising: a processor configured to: receive a textual description with a request to generate an image; access a user account to identify a characteristic of a user and a profile of the user; generate the image by applying an image generation artificial intelligence (IGAI) model to the textual description based on the characteristic of the user and the profile of the user, wherein the IGAI model is trained based on a plurality of images and a plurality of textual descriptions received from a plurality of users; condition the image to confirm that the image satisfies a plurality of constraints to output a conditioned image; and provide the conditioned image for display on a client device via the user account; and a memory device coupled to the processor. ### Claim 9 (depends on 8) The server system of claim 8, wherein to train the IGAI model based on the plurality of images and the plurality of textual descriptions received from the plurality of users, the processor is configured to determine a similarity between each of the plurality of textual descriptions and a respective one of the plurality of images. ### Claim 10 (depends on 9) The server system of claim 9, wherein the textual description is received via the user account, wherein to apply the IGAI model, the processor is configured to: determine a similarity between the textual description received with the request to generate the image and each of the plurality of textual descriptions to generate image data of the image; apply the profile of the user and a plurality of profiles of the plurality of users to the image; and apply the characteristic of the user to the image. ### Claim 11 (depends on 8) The server system of claim 8, wherein the profile of the user includes an age of the user and the characteristic includes a geographic location of the user, a plurality of game titles played by the user via the user account, a comment made by the user, and a preference of the user, wherein the profile is stored within the user account. ### Claim 12 (depends on 11) The server system of claim 11, wherein the processor is configured to receive the geographic location within a predetermined time period from receiving the textual description. ### Claim 13 (depends on 8) The server system of claim 8, wherein the plurality of constraints include image data of the plurality of images. ### Claim 14 (depends on 8) The server system of claim 8, wherein to condition the image, the processor is configured to upscale the image and include missing portions within the image. ### Claim 15 A non-transitory computer-readable medium containing program instructions for customizing an image based on user preferences, wherein execution of the program instructions by one or more processors of a computer system causes the one or more processors to carry out operations of: receiving a textual description with a request to generate an image; accessing a user account to identify a characteristic of a user and a profile of the user; generating the image by applying an image generation artificial intelligence (IGAI) model to the textual description based on the characteristic of the user and the profile of the user, wherein the IGAI model is trained based on a plurality of images and a plurality of textual descriptions received from a plurality of users; conditioning the image to confirm that the image satisfies a plurality of constraints to output a conditioned image; and providing the conditioned image for display on a client device via the user account. ### Claim 16 (depends on 15) The non-transitory computer-readable medium of claim 15, wherein the operations further comprise training the IGAI model based on the plurality of images and the plurality of textual descriptions received from the plurality of users, wherein said training the IGAI model includes determining a similarity between each of the plurality of textual descriptions and a respective one of the plurality of images. ### Claim 17 (depends on 16) The non-transitory computer-readable medium of claim 16, wherein the textual description is received via the user account, wherein the operation of applying the IGAI model includes: determining a similarity between the textual description received with the request to generate the image and each of the plurality of textual descriptions to generate image data of the image; applying the profile of the user and a plurality of profiles of the plurality of users to the image; and applying the characteristic of the user to the image. ### Claim 18 (depends on 15) The non-transitory computer-readable medium of claim 15, wherein the profile of the user includes an age of the user and the characteristic includes a geographic location of the user, a plurality of game titles played by the user via the user account, a comment made by the user, and a preference of the user, wherein the profile is stored within the user account. ### Claim 19 (depends on 18) The non-transitory computer-readable medium of claim 18, further comprising receiving the geographic location within a predetermined time period from receiving the textual description. ### Claim 20 (depends on 15) The non-transitory computer-readable medium of claim 15, wherein the plurality of constraints include image data of the plurality of images, wherein the operation of conditioning the image includes upscaling the image and including missing portions within the image.