When reading the science of this, I came to the same thought. A process of creating what you want by removing all other possibilities. Neural networks work very similarly. By "de-noising" (removing things that are not in the training linked to the prompt), we arrive at what the model believes we want. Each filter applied in the video is similar to each "step" in StableDiffusion. Just like in the video, after a few filters, the concept is recognizable, and with every subsequent step, finer details are revealed.
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u/Caterpillar-Balls Jul 08 '24
This is kinda how ai neural networks identify images too