[[subsets]]
caption_extension = ".txt"
image_dir = "FOLDER PATH/12_Sawatari"
keep_tokens = 1
name = "12"
num_repeats = 12
shuffle_caption = true

[train_mode]
train_mode = "lora"

[general_args.args]
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
full_bf16 = true
mixed_precision = "bf16"
gradient_checkpointing = true
gradient_accumulation_steps = 1
seed = 0
max_token_length = 225
prior_loss_weight = 1.0
xformers = true
max_train_epochs = 10
cache_latents = true
cache_latents_to_disk = true
sdxl = true
pretrained_model_name_or_path = ""
keep_tokens_separator = "|||"

[general_args.dataset_args]
resolution = 1024
batch_size = 4

[network_args.args]
network_dropout = 0.1
network_dim = 8
network_alpha = 4.0
min_timestep = 0
max_timestep = 1000
ip_noise_gamma = 0.1

[optimizer_args.args]
lr_scheduler = "cosine"
optimizer_type = "Came"
lr_scheduler_type = "LoraEasyCustomOptimizer.RexAnnealingWarmRestarts.RexAnnealingWarmRestarts"
lr_scheduler_num_cycles = 1
loss_type = "l2"
learning_rate = 6e-5
unet_lr = 6e-5
text_encoder_lr = 6e-6
max_grad_norm = 1.0
min_snr_gamma = 5

[saving_args.args]
output_name = "Sawatari_IL_V1"
save_precision = "bf16"
save_model_as = "safetensors"
save_every_n_epochs = 1
save_toml = true
save_state = true
output_dir = "FOLDER PATH/Sawatari_IL_V1"
save_toml_location = "FOLDER PATH/Sawatari_IL_V1"
save_last_n_epochs_state = 1

[noise_args.args]
multires_noise_iterations = 6
multires_noise_discount = 0.15

[bucket_args.dataset_args]
enable_bucket = true
min_bucket_reso = 256
max_bucket_reso = 2048
bucket_reso_steps = 64

[network_args.args.network_args]

[optimizer_args.args.lr_scheduler_args]
min_lr = 1e-6
gamma = 0.9
d = 0.9

[optimizer_args.args.optimizer_args]
weight_decay = "0.1"