Using image processing, machine learning and images of a human face for prompt generation related to false eyelashes

A system, comprising:

• a memory;
• and
• a processing device operatively coupled with the memory, the processing device to:
• receive two-dimensional (2D) image data corresponding to a 2D image of a human face of a subject;
• determine a textual identifier that describes a facial feature of the human face represented by the 2D image;
• provide, to a first generative machine learning model, a first prompt comprising information identifying the textual identifier that describes the facial feature of the human face;
• and
• obtain, from the first generative machine learning model, a first output identifying, among a plurality of sets of false eyelashes, a set of false eyelashes selected to sui the human face of the subject based on the facial feature.

A non-transitory computer-readable storage medium comprising instructions that, responsive to execution by a processing device, cause the processing device to perform operations, comprising:

• receiving two-dimensional (2D) image data corresponding to a 2D image of a human face of a subject;
• determining a textual identifier that describes a facial feature of the human face represented by the 2D image;
• providing, to a first generative machine learning model, a first prompt comprising information identifying the textual identifier that describes the facial feature of the human face;
• and
• obtaining, from the first generative machine learning model, a first output identifying, among a plurality of sets of false eyelashes, a set of false eyelashes selected to suit the human face of the subject based on the facial feature.