Generative AI algorithms use probability to create visuals from noise
Last year the Internet got its first taste of image-generating artificial intelligence. Suddenly, technology that had once been offered only to specialists was available to anyone with a web connection. The enthusiasm shows no signs of abating, and AI-generated images have won a major photography competition, created the title credits of a television series and tricked people into believing the pope stepped out in a fashionable puffer coat.
How did programs such as DALL-E 2, Midjourney and Stable Diffusion get to be so good all at once? Although AI has been in development for decades, the most popular of today's image generators use a technique called a diffusion model, which is relatively new on the AI scene. Here's how it works:
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