| [ARB] | |
| bucket_no_upscale = false | |
| bucket_reso_steps = 64 | |
| enable_bucket = true | |
| max_bucket_reso = 1584 | |
| min_bucket_reso = 327 | |
| [Attention] | |
| mem_eff_attn = false | |
| xformers = true | |
| [Basics] | |
| clip_skip = 2 | |
| max_train_epochs = 30 | |
| max_train_steps = 1073741824 | |
| pretrained_model_name_or_path = "******" | |
| reg_data_dir = "******" | |
| resolution = "720,720" | |
| seed = 171927893 | |
| train_data_dir = "******" | |
| [Cache_latents] | |
| cache_latents = true | |
| vae_batch_size = 1 | |
| cache_latents_to_disk = true | |
| [Captions] | |
| shuffle_caption = true | |
| caption_extension = ".txt" | |
| keep_tokens = 1 | |
| caption_dropout_rate = 0.05 | |
| caption_dropout_every_n_epochs = 0 | |
| caption_tag_dropout_rate = 0.0 | |
| max_token_length = 150 | |
| weighted_captions = false | |
| token_warmup_min = 1 | |
| token_warmup_step = 0 | |
| [Data_augmentation] | |
| color_aug = false | |
| flip_aug = false | |
| random_crop = false | |
| [Dataset] | |
| max_data_loader_n_workers = 8 | |
| persistent_data_loader_workers = true | |
| dataset_repeats = 1 | |
| [Debugging] | |
| debug_dataset = false | |
| [Deprecated] | |
| use_8bit_adam = false | |
| use_lion_optimizer = false | |
| learning_rate = 0.0002 | |
| [Further_improvement] | |
| min_snr_gamma = 0 | |
| multires_noise_discount = 0.3 | |
| multires_noise_iterations = 6 | |
| [Huggingface] | |
| save_state_to_huggingface = false | |
| resume_from_huggingface = false | |
| async_upload = false | |
| [Logging] | |
| logging_dir = "******" | |
| log_with = "tensorboard" | |
| log_prefix = "lora_" | |
| [Lr_scheduler] | |
| lr_scheduler_type = "" | |
| lr_scheduler = "constant" | |
| lr_warmup_steps = 0 | |
| lr_scheduler_num_cycles = 1 | |
| lr_scheduler_power = 1.0 | |
| [LyCORIS] | |
| network_module = "lycoris.kohya" | |
| network_args = [ "preset=attn-mlp", "algo=lora",] | |
| [Network_setup] | |
| dim_from_weights = false | |
| network_alpha = 2 | |
| network_dim = 4 | |
| network_dropout = 0 | |
| network_train_text_encoder_only = false | |
| network_train_unet_only = true | |
| resume = false | |
| [Optimizer] | |
| gradient_accumulation_steps = 1 | |
| gradient_checkpointing = true | |
| max_grad_norm = 1.0 | |
| optimizer_args = [ "weight_decay=0.1", "betas=0.9,0.99",] | |
| optimizer_type = "AdamW8bit" | |
| text_encoder_lr = 0.0006 | |
| train_batch_size = 8 | |
| unet_lr = 0.0006 | |
| [Others] | |
| lowram = false | |
| training_comment = "narugo1992's automated LoRA training, based on nebulae's config." | |
| [Regularization] | |
| prior_loss_weight = 1.0 | |
| [SDv2] | |
| v2 = false | |
| v_parameterization = false | |
| scale_v_pred_loss_like_noise_pred = false | |
| [Sampling_during_training] | |
| sample_sampler = "ddim" | |
| [Save] | |
| output_dir = "******" | |
| output_name = "vigna_arknights" | |
| save_every_n_epochs = 2 | |
| save_every_n_steps = 1073741824 | |
| save_last_n_steps = 200 | |
| save_last_n_steps_state = 1 | |
| save_model_as = "safetensors" | |
| save_precision = "fp16" | |
| save_state = false | |
| [Training_preciscion] | |
| mixed_precision = "fp16" | |
| full_fp16 = false | |
| full_bf16 = false | |