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lora-scripts/config/lora.toml

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+[model_arguments]
+v2 = false
+v_parameterization = false
+pretrained_model_name_or_path = "./sd-models/model.ckpt"
+
+[dataset_arguments]
+train_data_dir = "./train/aki"
+reg_data_dir = ""
+resolution = "512,512"
+prior_loss_weight = 1
+
+[additional_network_arguments]
+network_dim = 32
+network_alpha = 16
+network_train_unet_only = false
+network_train_text_encoder_only = false
+network_module = "networks.lora"
+network_args = []
+
+[optimizer_arguments]
+unet_lr = 1e-4
+text_encoder_lr = 1e-5
+
+optimizer_type = "AdamW8bit"
+lr_scheduler = "cosine_with_restarts"
+lr_warmup_steps = 0
+lr_restart_cycles = 1
+
+[training_arguments]
+train_batch_size = 1
+noise_offset = 0.0
+keep_tokens = 0
+min_bucket_reso = 256
+max_bucket_reso = 1024
+caption_extension = ".txt"
+max_token_length = 225
+seed = 1337
+xformers = true
+lowram = false
+max_train_epochs = 10
+resolution = "512,512"
+clip_skip = 2
+mixed_precision = "fp16"
+
+[sample_prompt_arguments]
+sample_sampler = "euler_a"
+sample_every_n_epochs = 5
+
+[saving_arguments]
+output_name = "output_name"
+save_every_n_epochs = 1
+save_state = false
+save_model_as = "safetensors"
+output_dir = "./output"
+logging_dir = "./logs"
+log_prefix = ""
+save_precision = "fp16"
+
+[others]
+cache_latents = true
+shuffle_caption = true
+enable_bucket = true