Delete marin-kitagawa_config

marin-kitagawa_config/config_file.toml

@@ -1,54 +0,0 @@
-[model_arguments]
-v2 = false
-v_parameterization = false
-pretrained_model_name_or_path = "/content/pretrained_model/Anything-v3-1.safetensors"
-vae = "/content/vae/anime.vae.pt"
-
-[additional_network_arguments]
-no_metadata = false
-unet_lr = 0.0005
-text_encoder_lr = 6e-5
-network_module = "networks.lora"
-network_dim = 8
-network_alpha = 16
-network_train_unet_only = false
-network_train_text_encoder_only = false
-
-[optimizer_arguments]
-optimizer_type = "AdamW8bit"
-learning_rate = 0.0005
-max_grad_norm = 1.0
-lr_scheduler = "cosine_with_restarts"
-lr_warmup_steps = 0
-lr_scheduler_num_cycles = 0
-
-[dataset_arguments]
-debug_dataset = false
-
-[training_arguments]
-output_dir = "/content/drive/MyDrive/LoRA/output"
-output_name = "marin-kitagawa"
-save_precision = "fp16"
-save_every_n_epochs = 1
-train_batch_size = 6
-max_token_length = 225
-mem_eff_attn = false
-xformers = true
-max_train_epochs = 10
-max_data_loader_n_workers = 8
-persistent_data_loader_workers = true
-gradient_checkpointing = false
-gradient_accumulation_steps = 1
-mixed_precision = "fp16"
-clip_skip = 2
-logging_dir = "/content/LoRA/logs"
-log_prefix = "marin-kitagawa"
-noise_offset = 0.001
-lowram = true
-
-[sample_prompt_arguments]
-sample_every_n_epochs = 999999
-sample_sampler = "ddim"
-
-[saving_arguments]
-save_model_as = "safetensors"

marin-kitagawa_config/dataset_config.toml

@@ -1,15 +0,0 @@
-[[datasets]]
-resolution = 512
-caption_dropout_rate = 0
-caption_tag_dropout_rate = 0.2
-caption_dropout_every_n_epochs = 0
-color_aug = false
-[[datasets.subsets]]
-image_dir = "/content/LoRA/train_data"
-num_repeats = 4
-metadata_file = "/content/LoRA/meta_lat.json"
-
-
-[general]
-shuffle_caption = true
-keep_tokens = 1