[additional_network_arguments]
unet_lr = 0.0005
text_encoder_lr = 0.0001
network_dim = 16
network_alpha = 8
network_module = "networks.lora"

[optimizer_arguments]
learning_rate = 0.0005
lr_scheduler = "constant_with_warmup"
lr_warmup_steps = 10
optimizer_type = "AdamW8bit"

[training_arguments]
max_train_epochs = 10
save_every_n_epochs = 1
save_last_n_epochs = 10
train_batch_size = 2
clip_skip = 2
min_snr_gamma = 5.0
weighted_captions = false
seed = 42
max_token_length = 225
xformers = true
lowram = true
max_data_loader_n_workers = 8
persistent_data_loader_workers = true
save_precision = "fp16"
mixed_precision = "fp16"
output_dir = "/content/drive/MyDrive/Loras/dog_LoRA/output"
logging_dir = "/content/drive/MyDrive/Loras/_logs"
output_name = "dog_LoRA"
log_prefix = "dog_LoRA"

[model_arguments]
pretrained_model_name_or_path = "/content/AnyLoRA_noVae_fp16-pruned.ckpt"
v2 = false

[saving_arguments]
save_model_as = "safetensors"

[dreambooth_arguments]
prior_loss_weight = 1.0

[dataset_arguments]
cache_latents = true