- Published on January 7, 2023
- In AI Features
The Physics of AI Art: A Look at Diffusion Models
The modern text-to-image art generators are based on principle of physics and the story is quite interesting.
- By Mohit Pandey
DALL-E 2, Midjourney, and Stable Diffusion, the beasts of generative AI were the highlights of 2022. Input your text prompt, and the models would generate the desired art within minutes, if not seconds. Safe to say that these are still touted as one of the greatest breakthroughs of AI in recent times.
These text-to-image generative models work on the diffusion method, which work on probabilistic estimation methods. For image generation, this means adding noise to an image, and then denoising it, while applying different parameters along the way to guide and mould it for the output. This is further called ‘Denoising Diffusion Models’.
Read: Diffusion Models: From Art to State-of-the-art
The concept of generating images using diffusion models originates from the world of physics
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Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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