Just a quick low effort model trained on PonyDiffusion to make bellies saggier.
Images were extracted from the hyperfusion dataset, so uses similar tags to that. but the only important tags are "bellysag" and the typical belly related tags.
Description
Trained on PonyDiffusion-SDXL_v6 with ~200 images.
Training Config (kohya):
lr 2e-4
frozen text encoder
batch 2
GA 4
lr scheduler cosine
dim 16
alpha 8
conv_dim 8
conv_alpha 4
tag dropout 15%
network dropout 30%
res 1024 bucket max 1024
shuffle captions
flip
ip_noise_gamma 0.02
min_snr_gamma 4