diff --git a/modules/async_worker.py b/modules/async_worker.py
index a304e697..34cd2e5a 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -115,6 +115,14 @@ def worker():
         # must use deep copy otherwise gradio is super laggy. Do not use list.append() .
         async_task.results = async_task.results + [wall]
         return
+    
+    def apply_enabled_loras(loras):
+        enabled_loras = []
+        for lora_enabled, lora_model, lora_weight in loras:
+            if lora_enabled:
+                enabled_loras.append([lora_model, lora_weight])
+                
+        return enabled_loras
 
     @torch.no_grad()
     @torch.inference_mode()
@@ -137,7 +145,7 @@ def worker():
         base_model_name = args.pop()
         refiner_model_name = args.pop()
         refiner_switch = args.pop()
-        loras = [[str(args.pop()), float(args.pop())] for _ in range(5)]
+        loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(5)])
         input_image_checkbox = args.pop()
         current_tab = args.pop()
         uov_method = args.pop()
diff --git a/modules/html.py b/modules/html.py
index 3ec6f2d6..47a1483a 100644
--- a/modules/html.py
+++ b/modules/html.py
@@ -112,6 +112,30 @@ progress::after {
     margin-left: -5px !important;
 }
 
+.lora_enable {
+  flex-grow: 1 !important;
+}
+
+.lora_enable label {
+  height: 100%;
+}
+
+.lora_enable label input {
+  margin: auto;
+}
+
+.lora_enable label span {
+  display: none;
+}
+
+.lora_model {
+  flex-grow: 5 !important;
+}
+
+.lora_weight {
+  flex-grow: 5 !important;
+}
+
 '''
 progress_html = '''
 <div class="loader-container">
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 07b42a16..bd8f555e 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -139,10 +139,12 @@ def load_parameter_button_click(raw_prompt_txt, is_generating):
         try:
             n, w = loaded_parameter_dict.get(f'LoRA {i}').split(' : ')
             w = float(w)
+            results.append(True)
             results.append(n)
             results.append(w)
         except:
-            results.append(gr.update())
-            results.append(gr.update())
+            results.append(True)
+            results.append("None")
+            results.append(1.0)
 
     return results
diff --git a/webui.py b/webui.py
index 6d72c67c..1463ff90 100644
--- a/webui.py
+++ b/webui.py
@@ -322,11 +322,14 @@ with shared.gradio_root:
 
                     for i, (n, v) in enumerate(modules.config.default_loras):
                         with gr.Row():
+                            lora_enabled = gr.Checkbox(label='Enable', value=True,
+                                                       elem_classes=['lora_enable', 'min_check'])
                             lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
-                                                     choices=['None'] + modules.config.lora_filenames, value=n)
+                                                     choices=['None'] + modules.config.lora_filenames, value=n,
+                                                     elem_classes='lora_model')
                             lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=v,
                                                     elem_classes='lora_weight')
-                            lora_ctrls += [lora_model, lora_weight]
+                            lora_ctrls += [lora_enabled, lora_model, lora_weight]
 
                 with gr.Row():
                     model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
@@ -471,7 +474,7 @@ with shared.gradio_root:
                     results = []
                     results += [gr.update(choices=modules.config.model_filenames), gr.update(choices=['None'] + modules.config.model_filenames)]
                     for i in range(5):
-                        results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
+                        results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update(), gr.update(interactive=True)]
                     return results
 
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,