AI image generation uses generative AI to create new visual content from text prompts or existing images, by learning patterns from massive datasets of images and text. These trained algorithms, often neural networks, then produce novel images that are statistically likely to fit the provided prompt, mimicking styles, shapes, and colors they've learned. Examples of such models include Midjourney, Stable Diffusion, and DALL-E.
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