Unveiling the Magic Behind Stable Diffusion 3

Author(s): Ignacio de Gregorio

Originally published on Towards AI.

It’s not just another AI-image model

This week Stability AI announced Stable Diffusion 3 (SD3), the next evolution of the most famous open-source model for image generation.

It displays amazing results in fidelity and resolution, making it, both visually and quantitatively speaking, the best text-to-image (T2I) model in the industry today.

More importantly, it finally solves one of the hardest problems in AI images, text-image alignment.

But, in my humble opinion, it’s a particularly special moment for AI, as it brings to the table several innovative approaches, both inherited and entirely new, that could set its architecture as the new standard for image synthesis.

This insight and others have mostly been previously shared in my weekly newsletter, TheTechOasis.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for you.

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If we think about a generative model, be that ChatGPT or SD3, there is a common principle; they all learn the underlying distribution of the training data in order to sample from it.

But what does that even mean?

If we think about ChatGPT, when we say that it… Read the full blog for free on Medium.

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Published via Towards AI