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Diffusion models exploded onto the world stage a mere two years ago.
Suddenly everyone and their dog could create astoundingworks of artsimply by typing a prompt into a text box.
But diffusion models are not just about art and image creation.
How does it work?
One of the key strengths of diffusion models is their ability to work without needing structured training data.
Because noise can be infinitely complex, so too can the end result be incredibly complex.
Low-powered computers inevitably result in unacceptably slower generation times.
Despite these challenges, diffusion models are going to play an increasingly important role in our modern lives.