US 12,748,804 B2Granted

Systems and methods for modular data streams using granular version control and context associations

AssigneeSoCreate Inc.

InventorJustin Couto

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Abstract

Embodiments of the present disclosure include systems and methods for compilation of a data stream using granular version control and context associations, the system comprising: a processor and memory coupled to the processor, both coupled to one or more large language models, the memory having instructions that perform the steps of a method comprising: receiving user-defined global modules with global module data containers; receiving user-defined local modules with local module data containers; associating object data from the user-defined global modules with the user-defined local modules; and publishing the data stream. The publishing comprises: submitting the associated data to the large language models, the large language models generating prompts; submitting the prompts to the large language models to generate images; associating the images with object data contained in the local data containers; collating the images to form the linear data stream; and outputting the linear data stream in re-playable format.

Claims20

Dependent claims

A system for compilation of a linear data stream using granular version control and context associations, the system comprising:

a processor and a memory coupled to the processor, the processor and the memory coupled to one or more large language models, the memory having instructions which, when executed, perform the steps of a method, the method comprising:
a) receiving one or more user-defined global modules and one or more global module data containers within the global modules, the global module data containers storing natural language textual descriptions defining attributes of objects;
b) receiving one or more user-defined local modules and one or more local module data containers within the local modules, the local module data containers storing at least one of natural language textual descriptions defining contextual content or natural language textual descriptions defining attributes of objects;
c) associating object data from the user-defined global modules with the user-defined local modules;
and
d) publishing the data stream, the publishing comprising:
i) submitting the associated object data to the large language models, the large language models generating a plurality of prompts for subsequent image generation;
ii) submitting the plurality of prompts to the large language models to generate a plurality of images;
iii) associating the plurality of images with the object data contained in the local module data containers;
iv) collating the plurality of images in sequential order according to an order defined by the global modules and the local modules to form the linear data stream;
and
v) outputting the linear data stream in re-playable format as a complete content work.

9 more elements

A method for compilation of a linear data stream using granular version control and context associations, the method executable by a processor and a memory coupled to the processor, the method comprising:

a) receiving one or more user-defined global modules and one or more global module data containers within the global modules, the global module data containers storing natural language textual descriptions defining attributes of objects;
b) receiving one or more user-defined local modules and one or more local module data containers within the local modules, the local module data containers storing at least one of natural language textual descriptions defining contextual content or natural language textual descriptions defining attributes of objects;
c) associating object data from the user-defined global modules with the user-defined local modules;
and
d) publishing the data stream, the publishing comprising:
i) submitting the associated object data to one or more large language models, the large language models generating a plurality of prompts for subsequent image generation;
ii) submitting the plurality of prompts to the large language models to generate a plurality of images;
iii) associating the plurality of images with the object data contained in the local module data containers;
iv) collating the plurality of images in sequential order according to an order defined by the global modules and the local modules to form the linear data stream;
and
v) outputting the linear data stream in re-playable format as a complete content work.

8 more elements

a) defining one or more global modules and one or more global module data containers within the global modules, the global module data containers storing natural language textual descriptions defining attributes of objects;
b) defining one or more local modules and one or more local module data containers within the local modules, the local module data containers storing at least one of natural language textual descriptions defining contextual content or natural language textual descriptions defining attributes of objects;
c) associating object data from the global modules with the local modules;
and
d) submitting the associated object data for publishing as a data stream, the publishing comprising:
i) submitting the associated object data to one or more large language models, the large language models generating a plurality of prompts for subsequent image generation;
ii) submitting the plurality of prompts to the large language models to generate a plurality of images;
iii) associating the plurality of images with the object data contained in the local module data containers;
iv collating the plurality of images in sequential order according to an order defined by the global modules and the local modules to form the linear data stream;
and
v) outputting the linear data stream in re-playable format as a complete content work.

8 more elements

Dependencies are inferred from the claim text.