Generate Realistic and Consistent Faces in Stable Diffusion

The deep learning model of Stable Diffusion is huge. The weight file is multiple GB large. Retraining the model means to update a lot of weights and that is a lot of work. Sometimes we must modify the Stable Diffusion model, for example, to define a new interpretation of prompts or make the model to …

ML 16189 building the knowledge graph

Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune

In asset management, portfolio managers need to closely monitor companies in their investment universe to identify risks and opportunities, and guide investment decisions. Tracking direct events like earnings reports or credit downgrades is straightforward—you can set up alerts to notify managers of news containing company names. However, detecting second and third-order impacts arising from events …

New computer vision tool wins prize for social impact

A team of computer scientists working on two different problems — how to quickly detect damaged buildings in crisis zones and how to accurately estimate the size of bird flocks — recently announced an AI framework that can do both. The framework, called DISCount, blends the speed and massive data-crunching power of artificial intelligence with …

Prompting Techniques for Stable Diffusion

Generating pictures using Stable Diffusion in all cases would involve to submit a prompt to the pipeline. This is only one of the parameters, but the most important one. An incomplete or poorly constructed prompt would make the resulting image not as you would expect. In this post, you will learn some key techniques to …