Imagine walking through a gallery at the renowned Gagosian Gallery, admiring paintings that blend surrealism and lifelike accuracy. One painting in particular catches your eye, depicting a child with wind-tossed hair staring at you while standing on what appears to be an easy linen dress. Its composition and coloring evoke the Victorian era, capturing both realism and imagination. However, this piece isn’t created by the artist’s hand, but rather by an artificial intelligence image generator called DALL-E 2.
AI image generators work with the help of neural networks. They’re trained on massive datasets and taught to identify patterns and features. For example, an AI image generator will learn that two inward-facing lines that meet are associated with the tip of a pencil and the roof of a house. It will then use this knowledge when interpreting and visually representing text prompts.
As an added benefit, AI image generators offer a level of customization not possible with most photo editing software. This allows you to create custom and unique images that can be used in your podcast promotion, blog posts, social media content, and more.
While these AI image generators can provide an incredible amount of creative freedom, they’re not without their drawbacks. For instance, they’re subject to biases and errors that may affect the quality of their output. Also, they can be technically complex and require a high level of expertise to use. And lastly, they can be used to create deceptive media—deepfakes—that mimic the look of real events and spread misinformation. ai image generator