AI image generators create realistic images by using machine learning algorithms to generate new images based on a set of input parameters or conditions. These algorithms, such as neural networks, are trained on vast amounts of images from the internet to generate similar or creative images based on text prompts. The process of generating images involves converting textual data into a machine-friendly language through natural language processing (NLP) models, such as the Contrastive Language-Image Pretraining (CLIP) model used in diffusion models like DALLE. Some AI image generators, like Stable Diffusion, use stable diffusion models to turn words into fantastical sights at the intersection of dreams and reality. These models are trained on large datasets of images and can generate a wide range of images from lifelike portraits to surreal landscapes. The best AI image generators, like those listed in this article, take a text prompt and turn it into a matching image to the best of their ability.