System and method for learning and communicating implicit stylistic preferences from historical user interaction data in text-to-image prompt engineering

A user interface, comprising:

• a processor;
• and
• a memory encoded with instructions, which when executed by the processor, causes the processor to:
• generate a plurality of images for each of a plurality of user prompts received from a first user;
• generate a node tree diagram displaying the pluralities of images based on one or more relationships between the pluralities of images and transmitting the node tree diagram to a second user;
• attribute a weight to a disliked plurality of images based on receiving input from a second user selecting a node associated with the disliked plurality of images from the node tree diagram;
• remove the node associated with the disliked plurality of images from the node tree diagram based on the weight;
• and
• generate a new set of images based on the second user's selecting the node associated with the disliked plurality of images.

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to:

• generate a plurality of images for each of a plurality of user prompts received from a first user;
• relate two or more of the pluralities of images and transmit the related pluralities of images to a second user;
• attribute a positive weight to a preferred plurality of images based on user selection from the second user;
• generate a new set of images based on the second user's interactions with a node tree diagram and the preferred plurality of images;
• receive input from the second user selecting disliked nodes from the node tree diagram;
• and
• display all pluralities of images in a node tree diagram indicating the preferred plurality of images and the positive weight.