| [model] | |
| v2 = false | |
| v_parameterization = false | |
| pretrained_model_name_or_path = "./sd-models/model.ckpt" | |
| [dataset] | |
| train_data_dir = "./train/input" | |
| reg_data_dir = "" | |
| prior_loss_weight = 1 | |
| cache_latents = true | |
| shuffle_caption = true | |
| enable_bucket = true | |
| [additional_network] | |
| network_dim = 32 | |
| network_alpha = 16 | |
| network_train_unet_only = false | |
| network_train_text_encoder_only = false | |
| network_module = "networks.lora" | |
| network_args = [] | |
| [optimizer] | |
| unet_lr = 1e-4 | |
| text_encoder_lr = 1e-5 | |
| optimizer_type = "AdamW8bit" | |
| lr_scheduler = "cosine_with_restarts" | |
| lr_warmup_steps = 0 | |
| lr_restart_cycles = 1 | |
| [training] | |
| resolution = "512,512" | |
| train_batch_size = 1 | |
| max_train_epochs = 10 | |
| noise_offset = 0.0 | |
| keep_tokens = 0 | |
| xformers = true | |
| lowram = false | |
| clip_skip = 2 | |
| mixed_precision = "fp16" | |
| save_precision = "fp16" | |
| [sample_prompt] | |
| sample_sampler = "euler_a" | |
| sample_every_n_epochs = 1 | |
| [saving] | |
| output_name = "output_name" | |
| save_every_n_epochs = 1 | |
| save_n_epoch_ratio = 0 | |
| save_last_n_epochs = 499 | |
| save_state = false | |
| save_model_as = "safetensors" | |
| output_dir = "./output" | |
| logging_dir = "./logs" | |
| log_prefix = "output_name" | |
| [others] | |
| min_bucket_reso = 256 | |
| max_bucket_reso = 1024 | |
| caption_extension = ".txt" | |
| max_token_length = 225 | |
| seed = 1337 | |