diff --git a/lora_gui.py b/lora_gui.py
index 6cb4029..971b0e3 100644
--- a/lora_gui.py
+++ b/lora_gui.py
@@ -211,6 +211,7 @@ def save_configuration(
 
 def open_configuration(
     ask_for_file,
+    apply_preset,
     file_path,
     pretrained_model_name_or_path,
     v2,
@@ -312,11 +313,25 @@ def open_configuration(
     network_dropout,
     rank_dropout,
     module_dropout,
+    training_preset
 ):
     # Get list of function parameters and values
     parameters = list(locals().items())
 
     ask_for_file = True if ask_for_file.get('label') == 'True' else False
+    apply_preset = True if apply_preset.get('label') == 'True' else False
+    
+    # Check if we are "applying" a preset or a config
+    if apply_preset:
+        log.info(f'Applying preset {training_preset}...')
+        file_path = f'./presets/lora/{training_preset}.json'
+    else:
+        # If not applying a preset, set the `training_preset` field to an empty string
+        # Find the index of the `training_preset` parameter using the `index()` method
+        training_preset_index = parameters.index(("training_preset", training_preset))
+
+        # Update the value of `training_preset` by directly assigning an empty string value
+        parameters[training_preset_index] = ("training_preset", "")
 
     original_file_path = file_path
 
@@ -324,22 +339,28 @@ def open_configuration(
         file_path = get_file_path(file_path)
 
     if not file_path == '' and not file_path == None:
-        # load variables from JSON file
+        # Load variables from JSON file
         with open(file_path, 'r') as f:
             my_data = json.load(f)
             log.info('Loading config...')
 
-            # Update values to fix deprecated use_8bit_adam checkbox, set appropriate optimizer if it is set to True, etc.
+            # Update values to fix deprecated options, set appropriate optimizer if it is set to True, etc.
             my_data = update_my_data(my_data)
     else:
-        file_path = original_file_path  # In case a file_path was provided and the user decide to cancel the open action
+        file_path = original_file_path  # In case a file_path was provided and the user decides to cancel the open action
         my_data = {}
 
     values = [file_path]
     for key, value in parameters:
         # Set the value in the dictionary to the corresponding value in `my_data`, or the default value if not found
-        if not key in ['ask_for_file', 'file_path']:
-            values.append(my_data.get(key, value))
+        if not key in ['ask_for_file', 'apply_preset', 'file_path']:
+            json_value = my_data.get(key)
+            if isinstance(json_value, str) and json_value == '':
+                # If the JSON value is an empty string, use the default value
+                values.append(value)
+            else:
+                # Otherwise, use the JSON value if not None, otherwise use the default value
+                values.append(json_value if json_value is not None else value)
 
     # This next section is about making the LoCon parameters visible if LoRA_type = 'Standard'
     if my_data.get('LoRA_type', 'Standard') == 'LoCon':
@@ -1069,6 +1090,17 @@ def lora_tab(
             outputs=[logging_dir],
         )
     with gr.Tab('Training parameters'):
+        def list_presets(path):
+            json_files = []
+            for file in os.listdir(path):
+                if file.endswith(".json"):
+                    json_files.append(os.path.splitext(file)[0])
+            return json_files
+        with gr.Row():
+            training_preset = gr.Dropdown(
+                label='Presets',
+                choices=list_presets('./presets/lora'),
+            )
         with gr.Row():
             LoRA_type = gr.Dropdown(
                 label='LoRA type',
@@ -1658,15 +1690,22 @@ def lora_tab(
 
     button_open_config.click(
         open_configuration,
-        inputs=[dummy_db_true, config_file_name] + settings_list,
-        outputs=[config_file_name] + settings_list + [LoCon_row],
+        inputs=[dummy_db_true, dummy_db_false, config_file_name] + settings_list + [training_preset],
+        outputs=[config_file_name] + settings_list + [training_preset, LoCon_row],
         show_progress=False,
     )
 
     button_load_config.click(
         open_configuration,
-        inputs=[dummy_db_false, config_file_name] + settings_list,
-        outputs=[config_file_name] + settings_list + [LoCon_row],
+        inputs=[dummy_db_false, dummy_db_false, config_file_name] + settings_list + [training_preset],
+        outputs=[config_file_name] + settings_list + [training_preset, LoCon_row],
+        show_progress=False,
+    )
+    
+    training_preset.input(
+        open_configuration,
+        inputs=[dummy_db_false, dummy_db_true, config_file_name] + settings_list + [training_preset],
+        outputs=[gr.Textbox()] + settings_list + [training_preset, LoCon_row],
         show_progress=False,
     )
 
diff --git a/presets/lora/dadaptation.json b/presets/lora/dadaptation.json
index c9c9b2e..752e312 100644
--- a/presets/lora/dadaptation.json
+++ b/presets/lora/dadaptation.json
@@ -1,37 +1,101 @@
 {
-    "v2": false,
-    "v_parameterization": false,
-    "max_resolution": "576,576",
-    "learning_rate": "1.0",
-    "lr_scheduler": "constant",
-    "lr_warmup": "0",
-    "save_every_n_epochs": 1,
-    "seed": "31337",
-    "cache_latents": true,
-    "gradient_checkpointing": true,
-    "no_token_padding": false,
-    "save_model_as": "safetensors",
-    "shuffle_caption": true,
-    "text_encoder_lr": "1.0",
-    "unet_lr": "1.0",
-    "network_dim": 8,
-    "color_aug": false,
-    "flip_aug": false,
-    "gradient_accumulation_steps": 1.0,
-    "model_list": "custom",
-    "max_token_length": "150",
-    "max_data_loader_n_workers": "1",
-    "network_alpha": 8,
-    "persistent_data_loader_workers": true,
-    "random_crop": false,
-    "optimizer": "DAdaptation",
-    "optimizer_args": "\"decouple=True\" \"weight_decay=0.01\" \"betas=0.9,0.99\"",
-    "noise_offset": "0",
-    "LoRA_type": "LyCORIS/LoHa",
-    "conv_dim": 8,
-    "conv_alpha": 8,
-    "sample_every_n_epochs": 1,
-    "sample_sampler": "euler_a",
-    "sample_prompts": "masterpiece, best quality, TRIGGERWORD, looking at viewer, simple background --n worst low quality --w 512 --h 712 --d 1 --l 7.5 --s 28",
-    "min_snr_gamma": 3
-  }
\ No newline at end of file
+  "LoRA_type": "LyCORIS/LoHa",
+  "adaptive_noise_scale": 0,
+  "additional_parameters": "",
+  "block_alphas": "",
+  "block_dims": "",
+  "block_lr_zero_threshold": "",
+  "bucket_no_upscale": true,
+  "bucket_reso_steps": 64,
+  "cache_latents": false,
+  "cache_latents_to_disk": false,
+  "caption_dropout_every_n_epochs": 0.0,
+  "caption_dropout_rate": 0.1,
+  "caption_extension": "",
+  "clip_skip": "1",
+  "color_aug": false,
+  "conv_alpha": 8,
+  "conv_alphas": "",
+  "conv_dim": 8,
+  "conv_dims": "",
+  "decompose_both": false,
+  "dim_from_weights": false,
+  "down_lr_weight": "",
+  "enable_bucket": true,
+  "epoch": 1,
+  "factor": -1,
+  "flip_aug": false,
+  "full_fp16": false,
+  "gradient_accumulation_steps": 1,
+  "gradient_checkpointing": false,
+  "keep_tokens": "0",
+  "learning_rate": 3.333e-05,
+  "logging_dir": "",
+  "lora_network_weights": "",
+  "lr_scheduler": "cosine",
+  "lr_scheduler_num_cycles": "",
+  "lr_scheduler_power": "",
+  "lr_warmup": 0,
+  "max_data_loader_n_workers": "0",
+  "max_resolution": "512,512",
+  "max_token_length": "75",
+  "max_train_epochs": "",
+  "mem_eff_attn": false,
+  "mid_lr_weight": "",
+  "min_snr_gamma": 3,
+  "mixed_precision": "bf16",
+  "model_list": "runwayml/stable-diffusion-v1-5",
+  "module_dropout": 0,
+  "multires_noise_discount": 0,
+  "multires_noise_iterations": 0,
+  "network_alpha": 128,
+  "network_dim": 128,
+  "network_dropout": 0,
+  "no_token_padding": false,
+  "noise_offset": 0,
+  "noise_offset_type": "Original",
+  "num_cpu_threads_per_process": 2,
+  "optimizer": "DAdaptAdam",
+  "optimizer_args": "\"decouple=True\" \"weight_decay=0.01\" \"betas=0.9,0.99\"",
+  "output_dir": "",
+  "output_name": "",
+  "persistent_data_loader_workers": false,
+  "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "prior_loss_weight": 1.0,
+  "random_crop": true,
+  "rank_dropout": 0,
+  "reg_data_dir": "",
+  "resume": "",
+  "sample_every_n_epochs": 1,
+  "sample_every_n_steps": 0,
+  "sample_prompts": "masterpiece, best quality, TRIGGERWORD, looking at viewer, simple background --n worst low quality --w 512 --h 712 --d 1 --l 7.5 --s 28",
+  "sample_sampler": "euler_a",
+  "save_every_n_epochs": 1,
+  "save_every_n_steps": 0,
+  "save_last_n_steps": 0,
+  "save_last_n_steps_state": 0,
+  "save_model_as": "safetensors",
+  "save_precision": "fp16",
+  "save_state": false,
+  "scale_v_pred_loss_like_noise_pred": false,
+  "scale_weight_norms": 0,
+  "seed": "1234",
+  "shuffle_caption": false,
+  "stop_text_encoder_training": 0,
+  "text_encoder_lr": 1.6666e-05,
+  "train_batch_size": 8,
+  "train_data_dir": "",
+  "train_on_input": false,
+  "training_comment": "",
+  "unet_lr": 3.333e-05,
+  "unit": 1,
+  "up_lr_weight": "",
+  "use_cp": false,
+  "use_wandb": false,
+  "v2": false,
+  "v_parameterization": false,
+  "vae_batch_size": 0,
+  "wandb_api_key": "",
+  "weighted_captions": false,
+  "xformers": true
+}
\ No newline at end of file
diff --git a/presets/lora/lion_optimizer.json b/presets/lora/lion_optimizer.json
index 77ffa4d..7e20df8 100644
--- a/presets/lora/lion_optimizer.json
+++ b/presets/lora/lion_optimizer.json
@@ -1,59 +1,101 @@
 {
-  "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5",
-  "v2": false,
-  "v_parameterization": false,
-  "logging_dir": "D:\\dataset\\marty_mcfly\\1985\\lora/log",
-  "train_data_dir": "D:\\dataset\\marty_mcfly\\1985\\lora\\img_gan",
-  "reg_data_dir": "",
-  "output_dir": "D:/lora/sd1.5/marty_mcfly",
-  "max_resolution": "512,512",
-  "learning_rate": "0.00003333",
-  "lr_scheduler": "cosine",
-  "lr_warmup": "0",
-  "train_batch_size": 8,
-  "epoch": "1",
-  "save_every_n_epochs": "1",
-  "mixed_precision": "bf16",
-  "save_precision": "fp16",
-  "seed": "1234",
-  "num_cpu_threads_per_process": 2,
+  "LoRA_type": "LyCORIS/LoHa",
+  "adaptive_noise_scale": 0,
+  "additional_parameters": "",
+  "block_alphas": "",
+  "block_dims": "",
+  "block_lr_zero_threshold": "",
+  "bucket_no_upscale": true,
+  "bucket_reso_steps": 64,
   "cache_latents": false,
+  "cache_latents_to_disk": false,
+  "caption_dropout_every_n_epochs": 0.0,
+  "caption_dropout_rate": 0.1,
   "caption_extension": "",
-  "enable_bucket": true,
-  "gradient_checkpointing": false,
-  "full_fp16": false,
-  "no_token_padding": false,
-  "stop_text_encoder_training": 0,
-  "use_8bit_adam": false,
-  "xformers": true,
-  "save_model_as": "safetensors",
-  "shuffle_caption": false,
-  "save_state": false,
-  "resume": "",
-  "prior_loss_weight": 1.0,
-  "text_encoder_lr": "0.000016666",
-  "unet_lr": "0.00003333",
-  "network_dim": 128,
-  "lora_network_weights": "",
-  "color_aug": false,
-  "flip_aug": false,
   "clip_skip": "1",
-  "gradient_accumulation_steps": 1.0,
-  "mem_eff_attn": false,
-  "output_name": "mrtmcfl_v2.0",
-  "model_list": "runwayml/stable-diffusion-v1-5",
-  "max_token_length": "75",
-  "max_train_epochs": "",
-  "max_data_loader_n_workers": "0",
-  "network_alpha": 128,
-  "training_comment": "",
+  "color_aug": false,
+  "conv_alpha": 8,
+  "conv_alphas": "",
+  "conv_dim": 8,
+  "conv_dims": "",
+  "decompose_both": false,
+  "dim_from_weights": false,
+  "down_lr_weight": "",
+  "enable_bucket": true,
+  "epoch": 1,
+  "factor": -1,
+  "flip_aug": false,
+  "full_fp16": false,
+  "gradient_accumulation_steps": 1,
+  "gradient_checkpointing": false,
   "keep_tokens": "0",
+  "learning_rate": 3.333e-05,
+  "logging_dir": "",
+  "lora_network_weights": "",
+  "lr_scheduler": "cosine",
   "lr_scheduler_num_cycles": "",
   "lr_scheduler_power": "",
+  "lr_warmup": 0,
+  "max_data_loader_n_workers": "0",
+  "max_resolution": "512,512",
+  "max_token_length": "75",
+  "max_train_epochs": "",
+  "mem_eff_attn": false,
+  "mid_lr_weight": "",
+  "min_snr_gamma": 3,
+  "mixed_precision": "bf16",
+  "model_list": "runwayml/stable-diffusion-v1-5",
+  "module_dropout": 0,
+  "multires_noise_discount": 0,
+  "multires_noise_iterations": 0,
+  "network_alpha": 128,
+  "network_dim": 128,
+  "network_dropout": 0,
+  "no_token_padding": false,
+  "noise_offset": 0,
+  "noise_offset_type": "Original",
+  "num_cpu_threads_per_process": 2,
+  "optimizer": "Lion",
+  "optimizer_args": "\"decouple=True\" \"weight_decay=0.01\" \"betas=0.9,0.99\"",
+  "output_dir": "",
+  "output_name": "",
   "persistent_data_loader_workers": false,
-  "bucket_no_upscale": true,
+  "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "prior_loss_weight": 1.0,
   "random_crop": true,
-  "bucket_reso_steps": 64.0,
-  "caption_dropout_every_n_epochs": 0.0,
-  "caption_dropout_rate": 0.1
+  "rank_dropout": 0,
+  "reg_data_dir": "",
+  "resume": "",
+  "sample_every_n_epochs": 1,
+  "sample_every_n_steps": 0,
+  "sample_prompts": "masterpiece, best quality, TRIGGERWORD, looking at viewer, simple background --n worst low quality --w 512 --h 712 --d 1 --l 7.5 --s 28",
+  "sample_sampler": "euler_a",
+  "save_every_n_epochs": 1,
+  "save_every_n_steps": 0,
+  "save_last_n_steps": 0,
+  "save_last_n_steps_state": 0,
+  "save_model_as": "safetensors",
+  "save_precision": "fp16",
+  "save_state": false,
+  "scale_v_pred_loss_like_noise_pred": false,
+  "scale_weight_norms": 0,
+  "seed": "1234",
+  "shuffle_caption": false,
+  "stop_text_encoder_training": 0,
+  "text_encoder_lr": 1.6666e-05,
+  "train_batch_size": 1,
+  "train_data_dir": "",
+  "train_on_input": false,
+  "training_comment": "",
+  "unet_lr": 3.333e-05,
+  "unit": 1,
+  "up_lr_weight": "",
+  "use_cp": false,
+  "use_wandb": false,
+  "v2": false,
+  "v_parameterization": false,
+  "vae_batch_size": 0,
+  "wandb_api_key": "",
+  "weighted_captions": false,
+  "xformers": true
 }
\ No newline at end of file