GLOSSARYText-to-Image

Text-to-image technology works by training a machine learning model on a large dataset of text descriptions and corresponding images. The model then learns to generate images that are consistent with the text descriptions by learning to map words and phrases to visual elements and attributes. Once trained, the model can generate images from new text descriptions that it has not seen before.

Text-to-image technology has a variety of applications, including generating images for social media, creating visual content for websites and blogs, and improving the accessibility of images for users with visual impairments.

There’s always the risk that advancing technologies will be used for cybercrime though, and text-to-image technology is no exception. Because it can easily generate fake or misleading information, such as deepfakes, it’s becoming easier to commit fraud, social engineering attacks, and other cyberattacks.

Be sure to always verify the images you see online as authentic.