| [network_arguments] |
| unet_lr = 0.0003 |
| text_encoder_lr = 6e-5 |
| network_dim = 8 |
| network_alpha = 4 |
| network_module = "networks.lora" |
| network_train_unet_only = false |
|
|
| [optimizer_arguments] |
| learning_rate = 0.0003 |
| lr_scheduler = "cosine_with_restarts" |
| lr_scheduler_num_cycles = 3 |
| lr_warmup_steps = 8 |
| optimizer_type = "AdamW8bit" |
| optimizer_args = [ "weight_decay=0.1", "betas=[0.9,0.99]",] |
| loss_type = "l2" |
| max_grad_norm = 1.0 |
|
|
| [training_arguments] |
| lowram = true |
| pretrained_model_name_or_path = "/content/sd_xl_base_1.0.safetensors" |
| vae = "/content/sdxl_vae.safetensors" |
| max_train_epochs = 10 |
| train_batch_size = 6 |
| seed = 42 |
| max_token_length = 225 |
| xformers = false |
| sdpa = true |
| min_snr_gamma = 8.0 |
| no_half_vae = true |
| gradient_checkpointing = true |
| gradient_accumulation_steps = 1 |
| max_data_loader_n_workers = 1 |
| persistent_data_loader_workers = true |
| mixed_precision = "fp16" |
| full_fp16 = true |
| 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 |
| multires_noise_iterations = 6 |
| multires_noise_discount = 0.3 |
|
|
| [saving_arguments] |
| save_precision = "fp16" |
| save_model_as = "safetensors" |
| save_every_n_epochs = 1 |
| save_last_n_epochs = 10 |
| output_name = "lingospace" |
| output_dir = "/content/drive/MyDrive/Loras/lingospace/output" |
| log_prefix = "lingospace" |
| logging_dir = "/content/drive/MyDrive/Loras/_logs" |
|
|
