model_train_type = "sdxl-lora"
pretrained_model_name_or_path = "d:/lora-scripts/sd-models/illustriousXL_v01.safetensors"
vae = "D:/models/VAE/illustriousXLV20_v10.safetensors"
train_data_dir = "./train/mayasoo/image"
prior_loss_weight = 1
resolution = "768,768"
enable_bucket = true
min_bucket_reso = 256
max_bucket_reso = 1344
bucket_reso_steps = 64
bucket_no_upscale = true
output_name = "XXXXXXXX_IL"
output_dir = "./output/"
save_model_as = "safetensors"
save_precision = "fp16"
save_every_n_epochs = 11
save_state = false
max_train_epochs = 10
train_batch_size = 3
gradient_checkpointing = true
network_train_unet_only = false
network_train_text_encoder_only = false
learning_rate = 0.0001
unet_lr = 0.0001
text_encoder_lr = 0.00001
lr_scheduler = "cosine_with_restarts"
lr_warmup_steps = 200
lr_scheduler_num_cycles = 1
optimizer_type = "AdamW8bit"
network_module = "lycoris.kohya"
network_dim = 8
network_alpha = 4
log_with = "tensorboard"
logging_dir = "./logs"
caption_extension = ".txt"
shuffle_caption = true
keep_tokens = 0
max_token_length = 255
seed = 13377
mixed_precision = "fp16"
xformers = true
lowram = false
cache_latents = true
cache_latents_to_disk = true
persistent_data_loader_workers = true
network_args = [ "conv_dim=4", "conv_alpha=1", "dropout=0", "algo=locon" ]