| [model_arguments] | |
| v2 = false | |
| v_parameterization = false | |
| pretrained_model_name_or_path = "/content/pretrained_model/AnyLoRA.safetensors" | |
| [additional_network_arguments] | |
| no_metadata = false | |
| unet_lr = 0.0005 | |
| network_module = "networks.lora" | |
| network_dim = 64 | |
| network_alpha = 32 | |
| network_train_unet_only = true | |
| network_train_text_encoder_only = false | |
| [optimizer_arguments] | |
| optimizer_type = "AdamW8bit" | |
| learning_rate = 0.0005 | |
| max_grad_norm = 1.0 | |
| lr_scheduler = "constant" | |
| lr_warmup_steps = 0 | |
| [dataset_arguments] | |
| debug_dataset = false | |
| in_json = "/content/LoRA/meta_lat.json" | |
| train_data_dir = "/content/LoRA/train_data" | |
| dataset_repeats = 1 | |
| shuffle_caption = true | |
| keep_tokens = 0 | |
| resolution = "512,512" | |
| caption_dropout_rate = 0 | |
| caption_tag_dropout_rate = 0 | |
| caption_dropout_every_n_epochs = 0 | |
| color_aug = false | |
| token_warmup_min = 1 | |
| token_warmup_step = 0 | |
| [training_arguments] | |
| output_dir = "/content/LoRA/output" | |
| output_name = "Victorian-Pets" | |
| save_precision = "fp16" | |
| save_every_n_epochs = 25 | |
| train_batch_size = 6 | |
| max_token_length = 225 | |
| mem_eff_attn = false | |
| xformers = true | |
| max_train_epochs = 400 | |
| max_data_loader_n_workers = 8 | |
| persistent_data_loader_workers = true | |
| gradient_checkpointing = false | |
| gradient_accumulation_steps = 1 | |
| mixed_precision = "fp16" | |
| clip_skip = 2 | |
| logging_dir = "/content/LoRA/logs" | |
| log_prefix = "Victorian-Pets" | |
| noise_offset = 0.2 | |
| lowram = true | |
| [sample_prompt_arguments] | |
| sample_every_n_epochs = 1 | |
| sample_sampler = "ddim" | |
| [saving_arguments] | |
| save_model_as = "safetensors" | |