DataHour: Introduction to Stable Diffusion: Text-to-Image Generative AI

DataHour: Introduction to Stable Diffusion: Text-to-Image Generative AI

25 Apr 202413:04pm - 25 Apr 202414:04pm

DataHour: Introduction to Stable Diffusion: Text-to-Image Generative AI

About the Event

Stable Diffusion is a multi-modal generative AI model primarily used to generate images conditioned on text prompts but can also be applied to guided image-to-image transformations and other tasks. Its code and model weights have been open-sourced, unlike its commercial competitors such as DALL-E and Midjourney. However, Stable Diffusion involves multiple technologies and optimizations underneath, making it difficult to comprehend.

This session aims to simplify the core concepts behind how Stable Diffusion works. We will start with highlighting some use-cases of Stable Diffusion, and then introduce a high-level overview of the end-to-end process and the components involved. Thereafter, the intuitions behind core concepts will be introduced in a non-academic and practitioner-friendly manner. Finally, we will deep dive to stitch all the concepts together and discuss some of the crucial optimizations that allow Stable Diffusion to be executed in real-world business applications. We will conclude with a note on necessary ethical considerations.

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Who is this DataHour for?

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About the Speaker

Kaushik Bar

Kaushik Bar

Co-Founder at inxiteout.ai

Kaushik brings over two decades of expertise in driving data-driven decision-making across diverse industries. As a Co-Founder of Inxiteout.ai, he has spearheaded innovative AI and GenAI solutions. His illustrious career spans notable roles at Intel and SanDisk, where he garnered recognition for his groundbreaking work in storage technology. Kaushik's commitment to excellence extends to his academic achievements, holding a Gold Medallist MBA from IIM Bangalore and an engineering degree from Jadavpur University.

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