How does Text-to-Image work? Explained in Everyday Language for AI Beginners

As I have already covered many key high-level AI concepts, I recently started to think about exploring more application-level topics. This may be a little late, but since text-to-image is one of the most fundamental and popular concepts, we will start with that this time. :)

What Are Text-to-Image Models?

Text-to-image models are a type of generative AI that creates images based on textual descriptions. For example, if you input “a cat sitting on a moonlit beach,” the model will generate an image that matches this description. These models use complex algorithms and deep learning techniques to interpret and visualize text inputs.

Imagine you have a friend who is a brilliant storyteller and another who is an exceptional artist. When the storyteller describes a scene, like a serene beach at sunset with a small boat anchored near the shore and palm trees swaying gently in the breeze, the artist listens and immediately starts painting a beautiful picture based on that description.