AI Image Generators Explained
AI Image Generators Explained Artificial Intelligence has transformed the way we create and interact with visuals. Among the most fascinating innovations in recent years are AI image generators —tools capable of producing stunning, lifelike images from simple text prompts. Whether you’re a designer looking for fresh ideas, a marketer in need of quick visuals, or simply a curious creator, understanding how AI image generators work can open the door to limitless creative possibilities. At their core, AI image generators use advanced machine learning systems—most commonly Generative Adversarial Networks (GANs) or diffusion models —to turn descriptions into images. GAN-based models work by having two neural networks compete with each other: one generates images while the other critiques them, pushing the system to improve over time. Diffusion models, which power today’s most popular tools, work differently. They start with “noise” and gradually remove it based on learned patterns ...