The history of diffusion technology, which is at the core of image-generating AI
This year, text-to-image AI has exploded as technological advances have greatly improved the quality of art AI systems can create. As controversial as Stable Diffusion or OpenAI’s DALL-E 2 may be, platforms like DeviantArt and Canva are using them to power their creative tools, personalize brand and even come up with new products.
The technology at the core of these systems can do much more than just generate art. Some intrepid researchers are using a technology called diffusion to create music, synthesize genetic sequences, and even discover new drugs.
What is diffusion and why does it represent such a huge leap forward from the previous technology? It’s worthwhile to look back at the origins of diffusion and the evolution it has undergone over the years in order to become such a powerful force. Diffusion is not over yet — the technique continues to improve with every passing month. But the last two years have seen a remarkable amount of progress.
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A brief history of diffusion, the tech at the heart of modern image-generating AI
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