Knowledge Distillation with Helen Byrne

Stable Diffusion 3 with Stability AI's Kate Hodesdon

April 07, 2024 Helen Byrne Season 1 Episode 8
Stable Diffusion 3 with Stability AI's Kate Hodesdon
Knowledge Distillation with Helen Byrne
More Info
Knowledge Distillation with Helen Byrne
Stable Diffusion 3 with Stability AI's Kate Hodesdon
Apr 07, 2024 Season 1 Episode 8
Helen Byrne

Stability AI’s Stable Diffusion model is one of the best known and most widely used text-to-image systems.
The decision to open-source both the model weights and code has ensured its mass adoption, with the company claiming more than 330 million downloads.
Details of the latest version - Stable Diffusion 3 - were revealed in a paper, published by the company in March 2024.
In this episode, Stability AI’s Kate Hodesdon joins Helen to discuss some of SD3’s new features, including improved capabilities for generating text within images and overall image quality.
Kate also talks about developments to the underlying model structure of Stable Diffusion, as well as the challenges associated with creating models that deliver more efficient inference.
The Stable Diffusion 3 paper can be found here: https://arxiv.org/pdf/2403.03206.pdf

Show Notes

Stability AI’s Stable Diffusion model is one of the best known and most widely used text-to-image systems.
The decision to open-source both the model weights and code has ensured its mass adoption, with the company claiming more than 330 million downloads.
Details of the latest version - Stable Diffusion 3 - were revealed in a paper, published by the company in March 2024.
In this episode, Stability AI’s Kate Hodesdon joins Helen to discuss some of SD3’s new features, including improved capabilities for generating text within images and overall image quality.
Kate also talks about developments to the underlying model structure of Stable Diffusion, as well as the challenges associated with creating models that deliver more efficient inference.
The Stable Diffusion 3 paper can be found here: https://arxiv.org/pdf/2403.03206.pdf