1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
|
import os
import sys
import traceback
from modules import shared
from modules.shared import cmd_opts
from modules.paths import script_path
import modules.face_restoration
def gfpgan_model_path():
from modules.shared import cmd_opts
places = [script_path, '.', os.path.join(cmd_opts.gfpgan_dir, 'experiments/pretrained_models')]
files = [cmd_opts.gfpgan_model] + [os.path.join(dirname, cmd_opts.gfpgan_model) for dirname in places]
found = [x for x in files if os.path.exists(x)]
if len(found) == 0:
raise Exception("GFPGAN model not found in paths: " + ", ".join(files))
return found[0]
loaded_gfpgan_model = None
def gfpgan():
global loaded_gfpgan_model
if loaded_gfpgan_model is not None:
return loaded_gfpgan_model
if gfpgan_constructor is None:
return None
model = gfpgan_constructor(model_path=gfpgan_model_path(), upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
if not cmd_opts.unload_gfpgan:
loaded_gfpgan_model = model
return model
def gfpgan_fix_faces(np_image):
np_image_bgr = np_image[:, :, ::-1]
cropped_faces, restored_faces, gfpgan_output_bgr = gfpgan().enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)
np_image = gfpgan_output_bgr[:, :, ::-1]
return np_image
have_gfpgan = False
gfpgan_constructor = None
def setup_gfpgan():
try:
gfpgan_model_path()
if os.path.exists(cmd_opts.gfpgan_dir):
sys.path.append(os.path.abspath(cmd_opts.gfpgan_dir))
from gfpgan import GFPGANer
global have_gfpgan
have_gfpgan = True
global gfpgan_constructor
gfpgan_constructor = GFPGANer
class FaceRestorerGFPGAN(modules.face_restoration.FaceRestoration):
def name(self):
return "GFPGAN"
def restore(self, np_image):
np_image_bgr = np_image[:, :, ::-1]
cropped_faces, restored_faces, gfpgan_output_bgr = gfpgan().enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)
np_image = gfpgan_output_bgr[:, :, ::-1]
return np_image
shared.face_restorers.append(FaceRestorerGFPGAN())
except Exception:
print("Error setting up GFPGAN:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
|
