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
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