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.
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.
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.
I think AI art inspires awe in us because:
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.