From 5e12c23a67034a73cd3d9af5c6b7c194e0862e66 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 7 Sep 2022 12:57:12 +0300
Subject: [PATCH] clarification for settings; another comment about copied
 files

---
 modules/codeformer/codeformer_arch.py | 2 ++
 modules/codeformer/vqgan_arch.py      | 2 ++
 modules/shared.py                     | 2 +-
 3 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/modules/codeformer/codeformer_arch.py b/modules/codeformer/codeformer_arch.py
index 0eff93dc..11dcc3ee 100644
--- a/modules/codeformer/codeformer_arch.py
+++ b/modules/codeformer/codeformer_arch.py
@@ -1,3 +1,5 @@
+# this file is copied from CodeFormer repository. Please see comment in modules/codeformer_model.py
+
 import math
 import numpy as np
 import torch
diff --git a/modules/codeformer/vqgan_arch.py b/modules/codeformer/vqgan_arch.py
index f6dfcf4c..c06c590c 100644
--- a/modules/codeformer/vqgan_arch.py
+++ b/modules/codeformer/vqgan_arch.py
@@ -1,3 +1,5 @@
+# this file is copied from CodeFormer repository. Please see comment in modules/codeformer_model.py
+
 '''
 VQGAN code, adapted from the original created by the Unleashing Transformers authors:
 https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py
diff --git a/modules/shared.py b/modules/shared.py
index 12082895..a16b0069 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -121,7 +121,7 @@ class Options:
         "show_progressbar": OptionInfo(True, "Show progressbar"),
         "show_progress_every_n_steps": OptionInfo(0, "Show show image creation progress every N sampling steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
         "face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
-        "code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
+        "code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = fix face completely; 1 = do nothing", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
     }
 
     def __init__(self):