Neural networks are the backbone of AI image generation, enabling machines to create visuals based on learned patterns. These networks function by processing vast amounts of image data, identifying key features like shapes, colors, and textures, and then reconstructing new images based on these learned elements.
A neural network consists of three primary layers:
AI models are trained on extensive datasets, allowing them to develop an understanding of various artistic styles, objects, and lighting effects. As a result, neural networks can generate images ranging from realistic portraits to abstract digital art.