| [model_arguments] | |
| v2 = true | |
| v_parameterization = true | |
| pretrained_model_name_or_path = "/content/pretrained_model/Replicant-V3.0_fp32.safetensors" | |
| [optimizer_arguments] | |
| min_snr_gamma = 5 | |
| optimizer_type = "AdamW8bit" | |
| learning_rate = 2e-6 | |
| max_grad_norm = 1.0 | |
| lr_scheduler = "constant" | |
| lr_warmup_steps = 0 | |
| [dataset_arguments] | |
| cache_latents = true | |
| debug_dataset = false | |
| vae_batch_size = 1 | |
| [training_arguments] | |
| output_dir = "/content/dreambooth/output" | |
| output_name = "Regainer-v2" | |
| save_precision = "fp16" | |
| save_n_epoch_ratio = 1 | |
| save_state = true | |
| train_batch_size = 2 | |
| max_token_length = 225 | |
| mem_eff_attn = false | |
| xformers = true | |
| max_train_steps = 2230 | |
| max_data_loader_n_workers = 8 | |
| persistent_data_loader_workers = true | |
| gradient_checkpointing = false | |
| gradient_accumulation_steps = 1 | |
| mixed_precision = "fp16" | |
| logging_dir = "/content/dreambooth/logs" | |
| log_prefix = "Regainer-v2" | |
| noise_offset = 0.1 | |
| [sample_prompt_arguments] | |
| sample_every_n_steps = 100 | |
| sample_sampler = "ddim" | |
| [dreambooth_arguments] | |
| prior_loss_weight = 1.0 | |
| [saving_arguments] | |
| save_model_as = "safetensors" | |