March 14, 2024, 1 p.m. | code_your_own_AI

code_your_own_AI www.youtube.com

The concept of Diffusion Transformer explained. Plus the forward and backward diffusion process and the critical dimensionality of the latent space. Detailed explanation how noise is added from a Gaussian distribution and outlook on further devs for Diffusion based Text-to-Image models. Plus: Rectified Flow as a new tech implementation in Stable Diffusion 3.

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#airesearch
#ai

concept devs diffusion dimensionality distribution explained flow image implementation noise outlook process space stable diffusion stable diffusion 3 tech text text-to-image transformer

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@ University of Texas at Austin | Austin, TX

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@ University of Texas at Austin | Austin, TX

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