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How AI creates pictures

Witnessing a Diffusion Model creating an image is a little bit like magic. Out of seemingly random noise a picture emerges.

Diffusion models “carve” the picture out of seemingly random, static-looking noise. The prompt is the chisel guiding the Diffusion model.

A digital artwork featuring a marble sculpture of an angel emerging from a rough stone block, placed in a well-lit museum or workshop. The left side of the image displays a quote by Michelangelo: "I saw the angel in the marble and carved until I set him free," enclosed in an elegant white-bordered box on a soft gray background.
“I saw the angel in the marble and carved until I set him free.” – Michelangelo
A close-up of a grainy, static-like texture with a mix of gray and white tones, resembling digital noise or interference.A close-up of a stylish tabby cat wearing tortoiseshell sunglasses, gazing confidently out of a window. The reflection in the lenses shows a bright sky and surroundings, adding to the cool and relaxed vibe.

A short explanation about how diffusion models work.

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A Short Explanation Can Spark Big Ideas!

Random noise turns masterpiece

Diffusion models start with random noise, like TV static, and slowly remove the chaos step by step. They use math to predict what the final image should look like, turning noise into a masterpiece based on your prompt.

The chaos becomes a vision

Think of it like a sculptor starting with a block of marble – the AI chips away the noise until your vision is set free.

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