From 8576a540ef47652d0a06616c021b66fa448fd5e9 Mon Sep 17 00:00:00 2001
From: Vladimir Mandic <mandic00@live.com>
Date: Tue, 14 May 2024 10:07:16 -0400
Subject: [PATCH] add control run summary

---
 README.md              | 3 +++
 modules/control/run.py | 7 +++++--
 2 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 27c1f245e..198d17911 100644
--- a/README.md
+++ b/README.md
@@ -226,6 +226,9 @@ List of available parameters, run `webui --help` for the full & up-to-date list:
 
 ## Notes
 
+> [!TIP]
+> If you don't want to use built-in `venv` support and prefer to run SD.Next in your own environment such as *Docker* container, *Conda* environment or any other virtual environment, you can skip `venv` create/activate and launch SD.Next directly using `python launch.py` (command line flags noted above still apply).
+
 ### Control
 
 **SD.Next** comes with built-in control for all types of text2image, image2image, video2video and batch processing
diff --git a/modules/control/run.py b/modules/control/run.py
index 36748f572..9a8271d89 100644
--- a/modules/control/run.py
+++ b/modules/control/run.py
@@ -72,6 +72,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
                 *input_script_args
         ):
     global instance, pipe, original_pipeline # pylint: disable=global-statement
+    t_start = time.time()
     debug(f'Control: type={unit_type} input={inputs} init={inits} type={input_type}')
     if inputs is None or (type(inputs) is list and len(inputs) == 0):
         inputs = [None]
@@ -621,12 +622,14 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
         shared.log.error(f'Control pipeline failed: type={unit_type} units={len(active_model)} error={e}')
         errors.display(e, 'Control')
 
+    t_end = time.time()
+
     if len(output_images) == 0:
         output_images = None
-        image_txt = 'images=None'
+        image_txt = '| Images None'
     else:
         image_str = [f'{image.width}x{image.height}' for image in output_images]
-        image_txt = f'| Images {len(output_images)} | Size {" ".join(image_str)}'
+        image_txt = f'| Time {t_end-t_start:.2f}s | Images {len(output_images)} | Size {" ".join(image_str)}'
         p.init_images = output_images # may be used for hires
 
     if video_type != 'None' and isinstance(output_images, list):