Brandy was the first model that I started using supporting images with. I wanted to revisit her and apply some changes to my protocol.

I went from a training batch size of 1 to 2. This should kind of mix the two images so they learn together. It lowers the total number of steps as well.

I also changed the captions. I'd used straight wd14 before, but this time I trimmed out all of the things that define her core features (aside from the hair, which I've left malleable).

I pushed this training to its limits, which is why it's 2.1. I only did 14 epochs comprised of 3178 steps, and wanted to continue training. I performed another 6 epochs for an additional 1386 steps to come to the epoch I selected for this version.

I used the same images for both versions. Instead of a 2 and 5 split, I went for 1 and 5.

There are 164 supporting images and 58 core images. So about 300 core iterations, and half that in supporting iterations.