| [Path] | |
| pretrained_model_name_or_path = "/notebooks/box/Trim.safetensors" | |
| train_data_dir = "/notebooks/LoRA_Image/" | |
| __root_dir = "/notebooks/LoRA/sd-scripts/" | |
| logging_dir = "calc:f'{__root_dir}logs'" | |
| output_dir = "calc:f'{__root_dir}outputs'" | |
| sample_prompts = "/notebooks/LoRA_Setting/A.txt" | |
| [Prompt] | |
| sample_every_n_epochs = 1 | |
| sample_sampler = "k_euler_a" | |
| [Else] | |
| shuffle_caption = true | |
| caption_extension = ".txt" | |
| keep_tokens = 1 | |
| color_aug = true | |
| __upper_px = 512 | |
| __resolution_x = "calc:512 + __upper_px" | |
| __resolution_y = "calc:512 + __upper_px" | |
| resolution = "calc:f'{__resolution_x},{__resolution_y}'" | |
| enable_bucket = true | |
| min_bucket_reso = "calc:320 + __upper_px" | |
| bucket_no_upscale = true | |
| caption_dropout_every_n_epochs = 9 | |
| caption_tag_dropout_rate = 0.2 | |
| save_every_n_epochs = 2 | |
| train_batch_size = 1 | |
| xformers = true | |
| max_train_epochs = 14 | |
| persistent_data_loader_workers = true | |
| seed = 987 | |
| mixed_precision = "fp16" | |
| save_precision = "ref:mixed_precision" | |
| clip_skip = 2 | |
| optimizer_type = "Lion" | |
| __div_rate = 8 | |
| learning_rate = "calc:1.0e-4 / __div_rate" | |
| text_encoder_lr= "calc:5.0e-5 / __div_rate" | |
| unet_lr = "ref:learning_rate" | |
| lr_scheduler = "cosine_with_restarts" | |
| lr_warmup_steps = 500 | |
| lr_scheduler_num_cycles = 4 | |
| network_module = "networks.lora" | |
| network_dim = 128 | |
| network_alpha = "calc:float(network_dim) / 2.0" | |
| __upper_mixed_precision = "calc:mixed_precision.upper()" | |
| output_name = "calc:f'Akashi_{optimizer_type}Div{__div_rate}1024Px'" | |