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
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
|
import os
from PIL import Image
from modules import shared, images, devices, scripts, scripts_postprocessing, ui_common, infotext_utils
from modules.shared import opts
def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output: bool = True):
devices.torch_gc()
shared.state.begin(job="extras")
outputs = []
def get_images(extras_mode, image, image_folder, input_dir):
if extras_mode == 1:
for img in image_folder:
if isinstance(img, Image.Image):
image = img
fn = ''
else:
image = Image.open(os.path.abspath(img.name))
fn = os.path.splitext(img.orig_name)[0]
yield image, fn
elif extras_mode == 2:
assert not shared.cmd_opts.hide_ui_dir_config, '--hide-ui-dir-config option must be disabled'
assert input_dir, 'input directory not selected'
image_list = shared.listfiles(input_dir)
for filename in image_list:
yield filename, filename
else:
assert image, 'image not selected'
yield image, None
if extras_mode == 2 and output_dir != '':
outpath = output_dir
else:
outpath = opts.outdir_samples or opts.outdir_extras_samples
infotext = ''
data_to_process = list(get_images(extras_mode, image, image_folder, input_dir))
shared.state.job_count = len(data_to_process)
for image_placeholder, name in data_to_process:
image_data: Image.Image
shared.state.nextjob()
shared.state.textinfo = name
shared.state.skipped = False
if shared.state.interrupted:
break
if isinstance(image_placeholder, str):
try:
image_data = Image.open(image_placeholder)
except Exception:
continue
else:
image_data = image_placeholder
parameters, existing_pnginfo = images.read_info_from_image(image_data)
if parameters:
existing_pnginfo["parameters"] = parameters
initial_pp = scripts_postprocessing.PostprocessedImage(image_data.convert("RGB"))
scripts.scripts_postproc.run(initial_pp, args)
if shared.state.skipped:
continue
used_suffixes = {}
for pp in [initial_pp, *initial_pp.extra_images]:
suffix = pp.get_suffix(used_suffixes)
if opts.use_original_name_batch and name is not None:
basename = os.path.splitext(os.path.basename(name))[0]
forced_filename = basename + suffix
else:
basename = ''
forced_filename = None
infotext = ", ".join([k if k == v else f'{k}: {infotext_utils.quote(v)}' for k, v in pp.info.items() if v is not None])
if opts.enable_pnginfo:
pp.image.info = existing_pnginfo
pp.image.info["postprocessing"] = infotext
shared.state.assign_current_image(pp.image)
if save_output:
fullfn, _ = images.save_image(pp.image, path=outpath, basename=basename, extension=opts.samples_format, info=infotext, short_filename=True, no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo, forced_filename=forced_filename, suffix=suffix)
if pp.caption:
caption_filename = os.path.splitext(fullfn)[0] + ".txt"
existing_caption = ""
try:
with open(caption_filename, encoding="utf8") as file:
existing_caption = file.read().strip()
except FileNotFoundError:
pass
action = shared.opts.postprocessing_existing_caption_action
if action == 'Prepend' and existing_caption:
caption = f"{existing_caption} {pp.caption}"
elif action == 'Append' and existing_caption:
caption = f"{pp.caption} {existing_caption}"
elif action == 'Keep' and existing_caption:
caption = existing_caption
else:
caption = pp.caption
caption = caption.strip()
if caption:
with open(caption_filename, "w", encoding="utf8") as file:
file.write(caption)
if extras_mode != 2 or show_extras_results:
outputs.append(pp.image)
image_data.close()
devices.torch_gc()
shared.state.end()
return outputs, ui_common.plaintext_to_html(infotext), ''
def run_postprocessing_webui(id_task, *args, **kwargs):
return run_postprocessing(*args, **kwargs)
def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool, save_output: bool = True):
"""old handler for API"""
args = scripts.scripts_postproc.create_args_for_run({
"Upscale": {
"upscale_mode": resize_mode,
"upscale_by": upscaling_resize,
"upscale_to_width": upscaling_resize_w,
"upscale_to_height": upscaling_resize_h,
"upscale_crop": upscaling_crop,
"upscaler_1_name": extras_upscaler_1,
"upscaler_2_name": extras_upscaler_2,
"upscaler_2_visibility": extras_upscaler_2_visibility,
},
"GFPGAN": {
"enable": True,
"gfpgan_visibility": gfpgan_visibility,
},
"CodeFormer": {
"enable": True,
"codeformer_visibility": codeformer_visibility,
"codeformer_weight": codeformer_weight,
},
})
return run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output=save_output)
|
