| [sdxl_arguments] |
| cache_text_encoder_outputs = false |
| no_half_vae = true |
| min_timestep = 0 |
| max_timestep = 1000 |
| shuffle_caption = true |
| lowram = true |
|
|
| [model_arguments] |
| pretrained_model_name_or_path = "Linaqruf/animagine-xl-2.0" |
| vae = "/content/vae/sdxl_vae.safetensors" |
|
|
| [dataset_arguments] |
| debug_dataset = false |
| in_json = "/content/LoRA/meta_lat.json" |
| train_data_dir = "/content/LoRA/train_data" |
| dataset_repeats = 1 |
| keep_tokens = 0 |
| resolution = "1024,1024" |
| color_aug = false |
| token_warmup_min = 1 |
| token_warmup_step = 0 |
|
|
| [training_arguments] |
| output_dir = "/content/drive/MyDrive/kohya-trainer/output/test_lora" |
| output_name = "test_lora" |
| save_precision = "fp16" |
| save_every_n_epochs = 1 |
| train_batch_size = 4 |
| max_token_length = 225 |
| mem_eff_attn = false |
| sdpa = true |
| xformers = false |
| max_train_epochs = 20 |
| max_data_loader_n_workers = 8 |
| persistent_data_loader_workers = true |
| gradient_checkpointing = true |
| gradient_accumulation_steps = 1 |
| mixed_precision = "fp16" |
|
|
| [logging_arguments] |
| log_with = "tensorboard" |
| logging_dir = "/content/LoRA/logs" |
| log_prefix = "test_lora" |
|
|
| [sample_prompt_arguments] |
| sample_every_n_epochs = 1 |
| sample_sampler = "euler_a" |
|
|
| [saving_arguments] |
| save_model_as = "safetensors" |
|
|
| [optimizer_arguments] |
| optimizer_type = "AdaFactor" |
| learning_rate = 0.0001 |
| max_grad_norm = 0 |
| optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",] |
| lr_scheduler = "constant_with_warmup" |
| lr_warmup_steps = 100 |
|
|
| [additional_network_arguments] |
| no_metadata = false |
| network_module = "networks.lora" |
| network_dim = 16 |
| network_alpha = 8 |
| network_args = [ "conv_dim=8", "conv_alpha=1",] |
| network_train_unet_only = true |
|
|
| [advanced_training_config] |
| save_state = false |
| save_last_n_epochs_state = false |
| caption_dropout_rate = 0 |
| caption_tag_dropout_rate = 0.5 |
| caption_dropout_every_n_epochs = 0 |
| min_snr_gamma = 5 |
|
|
