feat: upload lora model

_config/config_file.toml

@@ -7,7 +7,7 @@ shuffle_caption = true
 lowram = true
 
 [model_arguments]
-pretrained_model_name_or_path = "Laxhar/noobai-XL-1.0"
+pretrained_model_name_or_path = "Laxhar/noobai-XL-1.1"
 vae = "/content/vae/sdxl_vae.safetensors"
 
 [dataset_arguments]
@@ -15,15 +15,15 @@ debug_dataset = false
 in_json = "/content/LoRA/meta_lat.json"
 train_data_dir = "/content/LoRA/train_data"
 dataset_repeats = 1
-keep_tokens = 0
+keep_tokens = 1
 resolution = "1024,1024"
 color_aug = false
 token_warmup_min = 1
 token_warmup_step = 0
 
 [training_arguments]
-output_dir = "/content/LoRA/output/springveiv"
-output_name = "springveiv"
+output_dir = "/content/LoRA/output/bamakipajamas"
+output_name = "bamakipajamas"
 save_precision = "fp16"
 save_every_n_epochs = 2
 train_batch_size = 4
@@ -41,7 +41,7 @@ mixed_precision = "fp16"
 [logging_arguments]
 log_with = "tensorboard"
 logging_dir = "/content/LoRA/logs"
-log_prefix = "springveiv"
+log_prefix = "bamakipajamas"
 
 [sample_prompt_arguments]
 sample_every_n_epochs = 1

_config/sample_prompt.toml

@@ -5,5 +5,5 @@ height = 1024
 scale = 12
 sample_steps = 28
 [[prompt.subset]]
-prompt = "masterpiece,best quality,1girl"
+prompt = "masterpiece,best quality,bamakipajamas,1girl"