feat: upload matsumoto-sarina lora model

matsumoto-sarina_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
@@ -39,12 +39,12 @@ token_warmup_step = 0
 output_dir = "/content/LoRA/output"
 output_name = "matsumoto-sarina"
 save_precision = "fp16"
-save_every_n_epochs = 6
-train_batch_size = 3
+save_every_n_epochs = 5
+train_batch_size = 5
 max_token_length = 225
 mem_eff_attn = false
 xformers = true
-max_train_epochs = 6
+max_train_epochs = 5
 max_data_loader_n_workers = 8
 persistent_data_loader_workers = true
 gradient_checkpointing = false

matsumoto-sarina_config/sample_prompt.txt

@@ -0,0 +1,2 @@
+
+  masterpiece, best quality, 1girl, aqua eyes, baseball cap, blonde hair, closed mouth, earrings, green background, hat, hoop earrings, jewelry, looking at viewer, shirt, short hair, simple background, solo, upper body, yellow shirt   --n lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry   --w 512   --h 768   --l 7   --s 28