Re3mix realistic by Noobai

Deleted some regularization prompts,

model_train_type = "sdxl-lora"

pretrained_model_name_or_path = noobaiXLNAIXL_epsilonPred11Version.safetensors

train_data_dir = #######################

reg_data_dir = #######################

prior_loss_weight = 0.7

resolution = "1248,1248"

enable_bucket = true

min_bucket_reso = 1024

max_bucket_reso = 3840

bucket_reso_steps = 64

bucket_no_upscale = true

output_name = #######################

output_dir = #######################

save_model_as = "safetensors"

save_precision = "bf16"

save_every_n_epochs = 1

save_state = true

max_train_epochs = 20

train_batch_size = 8

gradient_checkpointing = true

gradient_accumulation_steps = 2

network_train_unet_only = false

network_train_text_encoder_only = false

learning_rate = 0.00016

unet_lr = 0.00016

text_encoder_lr = 0.00016

lr_scheduler = "constant"

lr_warmup_steps = 0

optimizer_type = "AdamW8bit"

network_module = "networks.lora"

network_dim = 96

network_alpha = 48

log_with = "tensorboard"

logging_dir = "./logs"

caption_extension = ".txt"

shuffle_caption = false

keep_tokens = 0

max_token_length = 400

noise_offset = 0.08

color_aug = false

flip_aug = false

random_crop = false

seed = 1337

mixed_precision = "bf16"

full_bf16 = true

xformers = true

lowram = false

cache_latents = true

cache_latents_to_disk = true

persistent_data_loader_workers = true

vae_batch_size = 8

ddp_gradient_as_bucket_view = false

no_metadata = false

lr_scheduler_num_cycles = 1

network_args = [

"rank_dropout=0.25",

"module_dropout=0.15",

"conv_dim=64",

"conv_alpha=32"

]

USE 30.5G VRAM