forked from Sygil-Dev/sygil-webui
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathwebui_playground.py
205 lines (177 loc) · 6.84 KB
/
webui_playground.py
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
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
import gradio as gr
import time
import os
from PIL import Image, ImageFont, ImageDraw, ImageFilter, ImageOps
from io import BytesIO
import base64
import re
from frontend.frontend import draw_gradio_ui
from frontend.ui_functions import resize_image
"""
This file is here to play around with the interface without loading the whole model
TBD - extract all the UI into this file and import from the main webui.
"""
GFPGAN = True
RealESRGAN = True
def run_goBIG():
pass
def txt2img(*args, **kwargs):
images = [
"https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
"https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80",
"https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80",
"https://images.unsplash.com/photo-1546456073-92b9f0a8d413?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
"https://images.unsplash.com/photo-1601412436009-d964bd02edbc?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=464&q=80",
]
return images, 1234, 'random', 'random output'
def img2img(*args, **kwargs):
images = [
"https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
"https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80",
"https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80",
"https://images.unsplash.com/photo-1546456073-92b9f0a8d413?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
"https://images.unsplash.com/photo-1601412436009-d964bd02edbc?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=464&q=80",
]
return images, 1234, 'random', 'random'
def run_GFPGAN(*args, **kwargs):
time.sleep(.1)
return "yo"
def run_RealESRGAN(*args, **kwargs):
time.sleep(.2)
return "yo"
class model():
def __init__():
pass
class opt():
def __init__(self, name):
self.name = name
no_progressbar_hiding = True
css_hide_progressbar = """
.wrap .m-12 svg { display:none!important; }
.wrap .m-12::before { content:"Loading..." }
.progress-bar { display:none!important; }
.meta-text { display:none!important; }
"""
css = css_hide_progressbar
css = css + """
[data-testid="image"] {min-height: 512px !important};
#main_body {display:none !important};
#main_body>.col:nth-child(2){width:200%;}
"""
user_defaults = {}
# make sure these indicies line up at the top of txt2img()
txt2img_toggles = [
'Create prompt matrix (separate multiple prompts using |, and get all combinations of them)',
'Normalize Prompt Weights (ensure sum of weights add up to 1.0)',
'Save individual images',
'Save grid',
'Sort samples by prompt',
'Write sample info files',
'jpg samples',
]
if GFPGAN is not None:
txt2img_toggles.append('Fix faces using GFPGAN')
if RealESRGAN is not None:
txt2img_toggles.append('Upscale images using RealESRGAN')
txt2img_defaults = {
'prompt': '',
'ddim_steps': 50,
'toggles': [1, 2, 3],
'sampler_name': 'k_lms',
'ddim_eta': 0.0,
'n_iter': 1,
'batch_size': 1,
'cfg_scale': 7.5,
'seed': '',
'height': 512,
'width': 512,
'fp': None,
'submit_on_enter': 'Yes'
}
if 'txt2img' in user_defaults:
txt2img_defaults.update(user_defaults['txt2img'])
txt2img_toggle_defaults = [txt2img_toggles[i] for i in txt2img_defaults['toggles']]
sample_img2img = "assets/stable-samples/img2img/sketch-mountains-input.jpg"
sample_img2img = sample_img2img if os.path.exists(sample_img2img) else None
# make sure these indicies line up at the top of img2img()
img2img_toggles = [
'Create prompt matrix (separate multiple prompts using |, and get all combinations of them)',
'Normalize Prompt Weights (ensure sum of weights add up to 1.0)',
'Loopback (use images from previous batch when creating next batch)',
'Random loopback seed',
'Save individual images',
'Save grid',
'Sort samples by prompt',
'Write sample info files',
'jpg samples',
]
if GFPGAN is not None:
img2img_toggles.append('Fix faces using GFPGAN')
if RealESRGAN is not None:
img2img_toggles.append('Upscale images using RealESRGAN')
img2img_mask_modes = [
"Keep masked area",
"Regenerate only masked area",
]
img2img_resize_modes = [
"Just resize",
"Crop and resize",
"Resize and fill",
]
img2img_defaults = {
'prompt': '',
'ddim_steps': 50,
'toggles': [1, 4, 5],
'sampler_name': 'k_lms',
'ddim_eta': 0.0,
'n_iter': 1,
'batch_size': 1,
'cfg_scale': 5.0,
'denoising_strength': 0.75,
'mask_mode': 0,
'resize_mode': 0,
'seed': '',
'height': 512,
'width': 512,
'fp': None,
}
if 'img2img' in user_defaults:
img2img_defaults.update(user_defaults['img2img'])
img2img_toggle_defaults = [img2img_toggles[i] for i in img2img_defaults['toggles']]
img2img_image_mode = 'sketch'
css_hide_progressbar = """
.wrap .m-12 svg { display:none!important; }
.wrap .m-12::before { content:"Loading..." }
.progress-bar { display:none!important; }
.meta-text { display:none!important; }
"""
styling = """
[data-testid="image"] {min-height: 512px !important}
* #body>.col:nth-child(2){width:250%;max-width:89vw}
#generate{width: 100%; }
#prompt_row input{
font-size:20px
}
input[type=number]:disabled { -moz-appearance: textfield;+ }
"""
demo = draw_gradio_ui(opt,
user_defaults=user_defaults,
txt2img=txt2img,
img2img=img2img,
txt2img_defaults=txt2img_defaults,
txt2img_toggles=txt2img_toggles,
txt2img_toggle_defaults=txt2img_toggle_defaults,
show_embeddings=hasattr(model, "embedding_manager"),
img2img_defaults=img2img_defaults,
img2img_toggles=img2img_toggles,
img2img_toggle_defaults=img2img_toggle_defaults,
img2img_mask_modes=img2img_mask_modes,
img2img_resize_modes=img2img_resize_modes,
sample_img2img=sample_img2img,
RealESRGAN=RealESRGAN,
GFPGAN=GFPGAN,
run_GFPGAN=run_GFPGAN,
run_RealESRGAN=run_RealESRGAN
)
# demo.queue()
demo.launch(share=False, debug=True)