remove unwanted formatting/functionality from the PR

1 files changed, 3 insertions, 9 deletions

diff --git a/modules/gfpgan_model.py b/modules/gfpgan_model.py
index 2bf8a1ee..bb30d733 100644
--- a/modules/gfpgan_model.py
+++ b/modules/gfpgan_model.py
@@ -36,8 +36,7 @@ def gfpgann():
     else:

         print("Unable to load gfpgan model!")

         return None

-    model = gfpgan_constructor(model_path=model_file, upscale=1, arch='clean', channel_multiplier=2,

-                               bg_upsampler=None)

+    model = gfpgan_constructor(model_path=model_file, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)

     model.gfpgan.to(shared.device)

     loaded_gfpgan_model = model

 

@@ -49,8 +48,7 @@ def gfpgan_fix_faces(np_image):
     if model is None:

         return np_image

     np_image_bgr = np_image[:, :, ::-1]

-    cropped_faces, restored_faces, gfpgan_output_bgr = model.enhance(np_image_bgr, has_aligned=False,

-                                                                     only_center_face=False, paste_back=True)

+    cropped_faces, restored_faces, gfpgan_output_bgr = model.enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)

     np_image = gfpgan_output_bgr[:, :, ::-1]

 

     if shared.opts.face_restoration_unload:

@@ -79,7 +77,6 @@ def setup_model(dirname):
         facex_load_file_from_url_orig2 = facexlib.parsing.load_file_from_url

 

         def my_load_file_from_url(**kwargs):

-            print("Setting model_dir to " + model_path)

             return load_file_from_url_orig(**dict(kwargs, model_dir=model_path))

 

         def facex_load_file_from_url(**kwargs):

@@ -92,7 +89,6 @@ def setup_model(dirname):
         facexlib.detection.load_file_from_url = facex_load_file_from_url

         facexlib.parsing.load_file_from_url = facex_load_file_from_url2

         user_path = dirname

-        print("Have gfpgan should be true?")

         have_gfpgan = True

         gfpgan_constructor = GFPGANer

 

@@ -102,9 +98,7 @@ def setup_model(dirname):
 

             def restore(self, np_image):

                 np_image_bgr = np_image[:, :, ::-1]

-                cropped_faces, restored_faces, gfpgan_output_bgr = gfpgann().enhance(np_image_bgr, has_aligned=False,

-                                                                                     only_center_face=False,

-                                                                                     paste_back=True)

+                cropped_faces, restored_faces, gfpgan_output_bgr = gfpgann().enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)

                 np_image = gfpgan_output_bgr[:, :, ::-1]

 

                 return np_image