In the past year, text-to-image AI models have soared in popularity. These AI models are used in a variety of applications, including generating synthetic images for use in machine learning and computer vision research, creating visualizations of text data, and enabling users to generate custom images based on their own descriptions. Stable diffusion models rely on advanced machine learning techniques and large amounts of data to learn how to generate high-quality images based on text descriptions.

The general belief is that in order to run a stable diffusion model effectively you have to use GPU’s. However, new CPU technology can also be utilized to run stable diffusion models efficiently. This webinar will take you through a step by step process of building your own stable diffusion application using OpenVINO, and experience the optimized performance of the latest generation of Intel® Xeon® Scalable processors in action. 

What you’ll learn:

• What is a stable diffusion model and how to deploy it as an endpoint
• Different use cases and real world examples of stable diffusion models
• How to run a stable diffusion model efficiently and get quick results with CPU’s
• Best practices for running stable diffusion models on CPU’s
• Step by step guide to building a working application using cnvrg.io