| [model_arguments] | |
| v2 = false | |
| v_parameterization = false | |
| pretrained_model_name_or_path = "/content/pretrained_model/AnyLoRA_noVae_fp16-pruned.ckpt" | |
| [additional_network_arguments] | |
| no_metadata = false | |
| unet_lr = 0.0001 | |
| text_encoder_lr = 5e-5 | |
| network_module = "networks.lora" | |
| network_dim = 16 | |
| network_alpha = 8 | |
| network_args = [ "conv_dim=8", "conv_alpha=1",] | |
| network_train_unet_only = false | |
| network_train_text_encoder_only = false | |
| [optimizer_arguments] | |
| min_snr_gamma = 5.0 | |
| optimizer_type = "AdamW8bit" | |
| learning_rate = 0.0001 | |
| max_grad_norm = 1.0 | |
| optimizer_args = [] | |
| lr_scheduler = "constant_with_warmup" | |
| lr_warmup_steps = 135 | |
| [dataset_arguments] | |
| cache_latents = true | |
| cache_latents_to_disk = true | |
| debug_dataset = false | |
| vae_batch_size = 4 | |
| [training_arguments] | |
| output_dir = "/content/LoRA/output" | |
| output_name = "simplevectorV2" | |
| save_precision = "fp16" | |
| save_every_n_epochs = 1 | |
| train_batch_size = 2 | |
| max_token_length = 225 | |
| mem_eff_attn = false | |
| xformers = true | |
| max_train_epochs = 10 | |
| max_data_loader_n_workers = 8 | |
| persistent_data_loader_workers = true | |
| gradient_accumulation_steps = 1 | |
| mixed_precision = "fp16" | |
| clip_skip = 2 | |
| lowram = true | |
| [logging_arguments] | |
| log_with = "tensorboard" | |
| logging_dir = "/content/LoRA/logs" | |
| log_prefix = "simplevectorV2" | |
| [sample_prompt_arguments] | |
| sample_every_n_epochs = 1 | |
| sample_sampler = "k_dpm_2_a" | |
| [dreambooth_arguments] | |
| prior_loss_weight = 1.0 | |
| [saving_arguments] | |
| save_model_as = "safetensors" | |