feat: upload narumiya-yume lora model

narumiya-yume_config/config_file.toml

@@ -8,8 +8,8 @@ no_metadata = false
 unet_lr = 0.0001
 text_encoder_lr = 5e-5
 network_module = "networks.lora"
-network_dim = 128
-network_alpha = 64
+network_dim = 32
+network_alpha = 16
 network_train_unet_only = false
 network_train_text_encoder_only = false
 
@@ -19,7 +19,7 @@ learning_rate = 0.0001
 max_grad_norm = 1.0
 lr_scheduler = "cosine_with_restarts"
 lr_warmup_steps = 0
-lr_scheduler_num_cycles = 3
+lr_scheduler_num_cycles = 5
 
 [dataset_arguments]
 debug_dataset = false
@@ -28,12 +28,12 @@ debug_dataset = false
 output_dir = "/content/LoRA/output"
 output_name = "narumiya-yume"
 save_precision = "fp16"
-save_every_n_epochs = 5
+save_every_n_epochs = 6
 train_batch_size = 3
 max_token_length = 225
 mem_eff_attn = false
 xformers = true
-max_train_epochs = 5
+max_train_epochs = 6
 max_data_loader_n_workers = 8
 persistent_data_loader_workers = true
 gradient_checkpointing = false
@@ -46,7 +46,7 @@ lowram = true
 
 [sample_prompt_arguments]
 sample_every_n_epochs = 999999
-sample_sampler = "ddim"
+sample_sampler = "euler"
 
 [saving_arguments]
 save_model_as = "safetensors"

narumiya-yume_config/dataset_config.toml

@@ -6,7 +6,7 @@ caption_dropout_every_n_epochs = 0
 color_aug = false
 [[datasets.subsets]]
 image_dir = "/content/LoRA/train_data"
-num_repeats = 30
+num_repeats = 25
 metadata_file = "/content/LoRA/meta_lat.json"