experiment:

unet_lr = 0.0003

lr_scheduler = "constant_with_warmup"

lr_warmup_steps = 0.08

network_args = [ "train_double_block_indices=1,4,6,17,18", "train_single_block_indices=0,3,7,9,12",]

network_dim = 2

network_alpha = 16

resolution = "512,512" => I can in 1024,1024 but for a character, don't necessarily have better results...

50 images x 16 = 800 repeats / batch 4 x 10 epochs = 2000 steps