| [network_arguments] | |
| unet_lr = 0.75 | |
| text_encoder_lr = 0.75 | |
| network_dim = 32 | |
| network_alpha = 32 | |
| network_module = "networks.lora" | |
| network_args = [ "conv_dim=32", "conv_alpha=16",] | |
| network_train_unet_only = false | |
| [optimizer_arguments] | |
| learning_rate = 0.75 | |
| lr_scheduler = "cosine_with_restarts" | |
| lr_scheduler_num_cycles = 5 | |
| lr_warmup_steps = 34 | |
| optimizer_type = "Prodigy" | |
| optimizer_args = [ "weight_decay=0.1", "betas=[0.9,0.99]",] | |
| [training_arguments] | |
| pretrained_model_name_or_path = "sd_xl_base_1.0.safetensors" | |
| vae = "sdxl_vae.safetensors" | |
| max_train_epochs = 10 | |
| train_batch_size = 4 | |
| seed = 42 | |
| max_token_length = 225 | |
| xformers = false | |
| sdpa = true | |
| min_snr_gamma = 8.0 | |
| lowram = false | |
| no_half_vae = true | |
| gradient_checkpointing = true | |
| gradient_accumulation_steps = 1 | |
| max_data_loader_n_workers = 8 | |
| persistent_data_loader_workers = true | |
| mixed_precision = "fp16" | |
| full_bf16 = false | |
| cache_latents = true | |
| cache_latents_to_disk = true | |
| cache_text_encoder_outputs = false | |
| min_timestep = 0 | |
| max_timestep = 1000 | |
| prior_loss_weight = 1.0 | |
| [saving_arguments] | |
| save_precision = "fp16" | |
| save_model_as = "safetensors" | |
| save_every_n_epochs = 1 | |
| save_last_n_epochs = 10 | |