diff --git a/README.md b/README.md
index 2287dbc..7c847e6 100644
--- a/README.md
+++ b/README.md
@@ -163,7 +163,9 @@ This will store your a backup file with your current locally installed pip packa
 
 ## Change History
 
-* 2023/02/24 (v20.8.2):
+* 2023/02/27 (v21.0.0):
+    - Add tensorboard start and stop support to the GUI
+* 2023/02/26 (v20.8.2):
     - Fix issue https://github.com/bmaltais/kohya_ss/issues/231
     - Change default for seed to random
     - Add support for --share argument to `kohya_gui.py` and `gui.ps1`
diff --git a/dreambooth_gui.py b/dreambooth_gui.py
index 6c94f23..f41a1dd 100644
--- a/dreambooth_gui.py
+++ b/dreambooth_gui.py
@@ -25,6 +25,9 @@ from library.common_gui import (
     gradio_config,
     gradio_source_model,
     set_legacy_8bitadam,
+    gradio_tensorboard,
+    start_tensorboard,
+    stop_tensorboard,
 )
 from library.dreambooth_folder_creation_gui import (
     gradio_dreambooth_folder_creation_tab,
@@ -639,7 +642,19 @@ def dreambooth_tab(
             logging_dir_input=logging_dir,
         )
 
-    button_run = gr.Button('Train model')
+    button_run = gr.Button('Train model', variant='primary')
+    
+    # Setup gradio tensorboard buttons
+    button_start_tensorboard, button_stop_tensorboard = gradio_tensorboard()
+    
+    button_start_tensorboard.click(
+        start_tensorboard,
+        inputs=logging_dir,
+    )
+    
+    button_stop_tensorboard.click(
+        stop_tensorboard,
+    )
 
     settings_list = [
         pretrained_model_name_or_path,
diff --git a/finetune_gui.py b/finetune_gui.py
index 4cf81f2..55278ee 100644
--- a/finetune_gui.py
+++ b/finetune_gui.py
@@ -19,6 +19,9 @@ from library.common_gui import (
     color_aug_changed,
     run_cmd_training,
     set_legacy_8bitadam,
+    gradio_tensorboard,
+    start_tensorboard,
+    stop_tensorboard,
 )
 from library.utilities import utilities_tab
 
@@ -623,7 +626,19 @@ def finetune_tab():
             outputs=[optimizer, use_8bit_adam],
         )
 
-    button_run = gr.Button('Train model')
+    button_run = gr.Button('Train model', variant='primary')
+    
+    # Setup gradio tensorboard buttons
+    button_start_tensorboard, button_stop_tensorboard = gradio_tensorboard()
+    
+    button_start_tensorboard.click(
+        start_tensorboard,
+        inputs=logging_dir,
+    )
+    
+    button_stop_tensorboard.click(
+        stop_tensorboard,
+    )
 
     settings_list = [
         pretrained_model_name_or_path,
diff --git a/library/common_gui.py b/library/common_gui.py
index 25089af..941cc3b 100644
--- a/library/common_gui.py
+++ b/library/common_gui.py
@@ -3,12 +3,59 @@ import os
 import gradio as gr
 from easygui import msgbox
 import shutil
+import subprocess
+import time
 
 folder_symbol = '\U0001f4c2'  # 📂
 refresh_symbol = '\U0001f504'  # 🔄
 save_style_symbol = '\U0001f4be'  # 💾
 document_symbol = '\U0001F4C4'   # 📄
 
+#####
+# tensorboard section
+#####
+
+tensorboard_proc = None # I know... bad but heh
+
+def start_tensorboard(logging_dir):
+    global tensorboard_proc
+    
+    if not os.listdir(logging_dir):
+        print("Error: log folder is empty")
+        return
+    
+    run_cmd = f'tensorboard.exe --logdir "{logging_dir}"'
+    
+    print(run_cmd)
+    if tensorboard_proc is not None:
+        print("Tensorboard is already running. Terminating existing process before starting new one...")
+        stop_tensorboard()
+    
+    # Start background process
+    print('Starting tensorboard...')    
+    tensorboard_proc = subprocess.Popen(run_cmd)
+    
+    # Wait for some time to allow TensorBoard to start up
+    time.sleep(5)
+    
+    # Open the TensorBoard URL in the default browser
+    print('Opening tensorboard url in browser...')
+    import webbrowser
+    webbrowser.open('http://localhost:6006')
+    
+def stop_tensorboard():
+    print('Stopping tensorboard process...')
+    tensorboard_proc.kill()
+    print('...process stopped')
+    
+def gradio_tensorboard():
+    with gr.Row():
+        button_start_tensorboard = gr.Button('Start tensorboard')
+        button_stop_tensorboard = gr.Button('Stop tensorboard')
+        
+    return(button_start_tensorboard, button_stop_tensorboard)
+
+#####
 
 def get_dir_and_file(file_path):
     dir_path, file_name = os.path.split(file_path)
diff --git a/lora_gui.py b/lora_gui.py
index d2c867a..99c6609 100644
--- a/lora_gui.py
+++ b/lora_gui.py
@@ -26,6 +26,9 @@ from library.common_gui import (
     gradio_source_model,
     run_cmd_training,
     set_legacy_8bitadam,
+    gradio_tensorboard,
+    start_tensorboard,
+    stop_tensorboard,
 )
 from library.dreambooth_folder_creation_gui import (
     gradio_dreambooth_folder_creation_tab,
@@ -758,7 +761,19 @@ def lora_tab(
         gradio_resize_lora_tab()
         gradio_verify_lora_tab()
 
-    button_run = gr.Button('Train model')
+    button_run = gr.Button('Train model', variant='primary')
+    
+    # Setup gradio tensorboard buttons
+    button_start_tensorboard, button_stop_tensorboard = gradio_tensorboard()
+    
+    button_start_tensorboard.click(
+        start_tensorboard,
+        inputs=logging_dir,
+    )
+    
+    button_stop_tensorboard.click(
+        stop_tensorboard,
+    )
 
     settings_list = [
         pretrained_model_name_or_path,
diff --git a/textual_inversion_gui.py b/textual_inversion_gui.py
index 933c6f2..3bb8b93 100644
--- a/textual_inversion_gui.py
+++ b/textual_inversion_gui.py
@@ -25,6 +25,9 @@ from library.common_gui import (
     gradio_config,
     gradio_source_model,
     set_legacy_8bitadam,
+    gradio_tensorboard,
+    start_tensorboard,
+    stop_tensorboard,
 )
 from library.dreambooth_folder_creation_gui import (
     gradio_dreambooth_folder_creation_tab,
@@ -714,7 +717,19 @@ def ti_tab(
             logging_dir_input=logging_dir,
         )
 
-    button_run = gr.Button('Train TI')
+    button_run = gr.Button('Train model', variant='primary')
+    
+    # Setup gradio tensorboard buttons
+    button_start_tensorboard, button_stop_tensorboard = gradio_tensorboard()
+    
+    button_start_tensorboard.click(
+        start_tensorboard,
+        inputs=logging_dir,
+    )
+    
+    button_stop_tensorboard.click(
+        stop_tensorboard,
+    )
 
     settings_list = [
         pretrained_model_name_or_path,