This article explains the fundamental mechanisms behind image generation AI (such as text-to-image models) for non-engineers. As generative AI rapidly evolves, the goal is to provide an intuitive understanding of the underlying principles. For a more technical deep-dive, please refer to the foundational paper behind Stable Diffusion:
(arXiv link) High-Resolution Image Synthesis with Latent Diffusion Models
Images as Digital Data First, let’s look at how computers represent images as data.
An image is an aggregation of pixels. A 1000 x 1000 image consists of 1,000,000 pixels. In standard digital imagery, each pixel is stored as an 8-bit integer (a number from 0 to 255), meaning any digital image is simply a collection of numerical values:
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