[training]
v2 = false
v_parameterization = false
pretrained_model_name_or_path = "./sd-models/v1-5-pruned-emaonly.safetensors"
train_data_dir = "./train/input"
reg_data_dir = ""
prior_loss_weight = 1
cache_latents = true
shuffle_caption = true
enable_bucket = true
network_dim = 32
network_alpha = 16
network_train_unet_only = false
network_train_text_encoder_only = false
network_module = "networks.lora"
network_args = []
unet_lr = 1e-4
text_encoder_lr = 1e-5
optimizer_type = "AdamW8bit"
lr_scheduler = "cosine_with_restarts"
lr_warmup_steps = 0
lr_restart_cycles = 1
resolution = "512,512"
train_batch_size = 1
max_train_epochs = 10
noise_offset = 0.0
keep_tokens = 0
xformers = true
lowram = false
clip_skip = 2
mixed_precision = "fp16"
save_precision = "fp16"
output_name = "output_name"
save_every_n_epochs = 1
save_n_epoch_ratio = 0
save_last_n_epochs = 499
save_state = false
save_model_as = "safetensors"
output_dir = "output"
logging_dir = "./logs"
log_prefix = "output_name"
min_bucket_reso = 256
max_bucket_reso = 1024
caption_extension = ".txt"
max_token_length = 225
seed = 1337
