Steps and Seeds in Stable Diffusion
In this series of posts I’ll be explaining the most common settings in stable diffusion generation tools, using DreamStudio and Automatic1111 as the examples.
How Stable Diffusion Works
The ability for a computer to generate art from nothing but a written description is fascinating! I know that I, for one, would be desperately curious to see what’s actually going on “under the hood” that would make this possible, so I wanted to do what I can here to provide a less superficial explanation of what’s going on even for those who aren’t familiar with the concepts in artificial intelligence.
How img2img Diffusion Works
Running Stable Diffusion by providing both a prompt and an initial image (a.k.a.”img2img” diffusion) can be a powerful technique for creating AI art.
What You Can Reasonably Expect from Stable Diffusion
I think AI art inspires awe in us because:
Combining Categorical and Numerical Features with Text in BERT
In this tutorial we’ll look at the topic of classifying text with BERT, but where we also have additional numerical or categorical features that we want to use to improve our predictions.