| [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 |
|
|
