MiniGPT-5 is an interleaved vision-and-language generation model that uses a novel concept of generative vokens to harmonize image and text output. It employs a two-staged training strategy that does not require comprehensive image descriptions, making training more efficient. The approach incorporates classifier-free guidance to improve voken effectiveness for image generation.