| [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 | |