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[model_arguments]
v2 = true
v_parameterization = true
pretrained_model_name_or_path = "/content/drive/MyDrive/pretrained_model/Anything-v3-1.safetensors"
[additional_network_arguments]
no_metadata = false
unet_lr = 0.0001
text_encoder_lr = 5e-5
network_module = "networks.lora"
network_dim = 64
network_alpha = 32
network_train_unet_only = false
network_train_text_encoder_only = false
[optimizer_arguments]
optimizer_type = "AdamW"
learning_rate = 0.0001
max_grad_norm = 1.0
lr_scheduler = "constant"
lr_warmup_steps = 0
[dataset_arguments]
cache_latents = true
debug_dataset = false
[training_arguments]
output_dir = "/content/drive/MyDrive/LoRA/output"
output_name = "kohya"
save_precision = "fp16"
save_every_n_epochs = 1
train_batch_size = 6
max_token_length = 225
mem_eff_attn = false
xformers = true
max_train_epochs = 10
max_data_loader_n_workers = 8
persistent_data_loader_workers = true
gradient_checkpointing = false
gradient_accumulation_steps = 1
mixed_precision = "fp16"
logging_dir = "/content/LoRA/logs"
log_prefix = "kohya"
lowram = false
[sample_prompt_arguments]
sample_every_n_epochs = 1
sample_sampler = "euler_a"
[dreambooth_arguments]
prior_loss_weight = 1.0
[saving_arguments]
save_model_as = "safetensors"
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