hyper bottom heavy

This is a test of SDXL's ability to learn far fetched concepts. This is not up to par with most of my other models, but still wanted to show off what SDXL was capable of learning.

Training Details:

• ~400 images

• 14 epocs

• batch 2

• gradient accumulation 4

• learning rate 2e-4

• No text encoder

• base model SDXL

• clip skip 1

• random flip

• shuffle captions

• tag drop chance 0.1

• network dropout 0.4

• bucketing at 1024

• dim 16

• alpha 8

• conv_dim 8

• conv_alpha 4

• cosine with restarts

• scale weight norm 1