feat: upload ohishi-izumi lora model

ohishi-izumi_config/config_file.toml

@@ -5,17 +5,17 @@ pretrained_model_name_or_path = "/content/pretrained_model/AnyLoRA.safetensors"
 
 [additional_network_arguments]
 no_metadata = false
-unet_lr = 0.00016
-text_encoder_lr = 3e-5
+unet_lr = 0.0001
+text_encoder_lr = 5e-5
 network_module = "networks.lora"
-network_dim = 64
-network_alpha = 32
+network_dim = 96
+network_alpha = 64
 network_train_unet_only = false
 network_train_text_encoder_only = false
 
 [optimizer_arguments]
 optimizer_type = "AdamW8bit"
-learning_rate = 0.00016
+learning_rate = 0.0001
 max_grad_norm = 1.0
 lr_scheduler = "constant_with_warmup"
 lr_warmup_steps = 3
@@ -24,10 +24,10 @@ lr_warmup_steps = 3
 debug_dataset = false
 in_json = "/content/LoRA/meta_lat.json"
 train_data_dir = "/content/LoRA/train_data"
-dataset_repeats = 20
+dataset_repeats = 40
 shuffle_caption = true
 keep_tokens = 0
-resolution = "768,768"
+resolution = "512,512"
 caption_dropout_rate = 0
 caption_tag_dropout_rate = 0
 caption_dropout_every_n_epochs = 0
@@ -40,7 +40,7 @@ output_dir = "/content/LoRA/output"
 output_name = "ohishi-izumi"
 save_precision = "fp16"
 save_every_n_epochs = 5
-train_batch_size = 3
+train_batch_size = 5
 max_token_length = 225
 mem_eff_attn = false
 xformers = true