Alternative and asynchronous digital content generation using machine learning

A computing device comprising:

• a processing device;
• and
• a computer-readable storage medium storing instructions that, responsive to execution by the processing device, causes the processing device to perform operations including:
• receiving a first input specifying one or more digital content characteristics;
• generating a first prompt configured to cause one or more machine-learning models to generate a first set of digital content based on the first input using generative artificial intelligence (AI);
• receiving a second input specifying an edit to the first prompt, the second input received prior to receipt of a first set of digital content generated using generative artificial intelligence (AI) responsive to the first prompt;
• generating a second prompt configured to cause the one or more machine-learning models to generate a second set of digital content based on the second input;
• and
• presenting the first set of digital content and the second set of digital content for display in a user interface.

One or more computer-readable storage media storing instructions that, responsive to execution by a processing device, causes the processing device to perform operations comprising:

• detecting a single input as specifying a plurality of alternatives to be used in digital content generation;
• forming a plurality of prompt alternatives, each said prompt alternative corresponding to a respective alternative of the plurality of alternatives;
• communicating the plurality of prompt alternatives for processing by one or more machine-learning models using generative artificial intelligence;
• and
• receiving a plurality of digital content generated responsive to processing of the plurality of prompt alternatives, respectively, by the one or more machine-learning models.