AI image generators use a type of machine learning called deep learning to generate human images. These systems are trained on large datasets of images and corresponding text descriptions, allowing them to learn the relationship between the two. Once trained, the AI system can generate new images based on text input, combining different concepts, attributes, and styles to create original and realistic images. The quality of the generated images depends on the size and diversity of the training dataset, as well as the complexity of the AI model used. AI image generators have a wide range of applications, from photography and art to fashion design and advertising. However, they also raise ethical concerns, such as the potential for bias in the training data and the impact on human creativity and employment.