| [[subsets]] | |
| num_repeats = 5 | |
| keep_tokens = 1 | |
| caption_extension = ".txt" | |
| shuffle_caption = true | |
| flip_aug = false | |
| color_aug = false | |
| random_crop = true | |
| is_reg = false | |
| image_dir = "F:/Pictures/Grabber/ready_for_training\\arisugawa_otome" | |
| [sample_args] | |
| [logging_args] | |
| [general_args.args] | |
| pretrained_model_name_or_path = "F:/Desktop/stable diffusion/LoRA/AnimeFullFinal.safetensors" | |
| mixed_precision = "bf16" | |
| seed = 23 | |
| clip_skip = 2 | |
| max_data_loader_n_workers = 1 | |
| persistent_data_loader_workers = true | |
| max_token_length = 225 | |
| prior_loss_weight = 1.0 | |
| sdpa = true | |
| max_train_epochs = 20 | |
| [general_args.dataset_args] | |
| resolution = 768 | |
| batch_size = 8 | |
| [network_args.args] | |
| network_dim = 16 | |
| network_alpha = 8.0 | |
| min_timestep = 0 | |
| max_timestep = 1000 | |
| [optimizer_args.args] | |
| optimizer_type = "AdamW8bit" | |
| lr_scheduler = "cosine" | |
| learning_rate = 0.0001 | |
| max_grad_norm = 1.0 | |
| lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts" | |
| lr_scheduler_num_cycles = 4 | |
| unet_lr = 0.0005 | |
| warmup_ratio = 0.1 | |
| min_snr_gamma = 8 | |
| scale_weight_norms = 5.0 | |
| [saving_args.args] | |
| output_dir = "F:/stable_diffusion_models_and_outputs/models/Lora/v1/Characters/arisugawa_otome" | |
| save_precision = "fp16" | |
| save_model_as = "safetensors" | |
| output_name = "arisugawa_otome" | |
| save_every_n_epochs = 2 | |
| tag_occurrence = true | |
| save_toml = true | |
| [bucket_args.dataset_args] | |
| enable_bucket = true | |
| min_bucket_reso = 256 | |
| max_bucket_reso = 1024 | |
| bucket_reso_steps = 64 | |
| [noise_args.args] | |
| multires_noise_iterations = 6 | |
| multires_noise_discount = 0.3 | |
| [network_args.args.network_args] | |
| dropout = 0.3 | |
| module_dropout = 0.25 | |
| [optimizer_args.args.lr_scheduler_args] | |
| min_lr = 1e-6 | |
| gamma = 0.85 | |
| [optimizer_args.args.optimizer_args] | |
| weight_decay = "0.1" | |
| betas = "0.9,0.99" | |