forked from lllyasviel/Fooocus
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathwebui.py
278 lines (232 loc) · 18.4 KB
/
webui.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
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
import gradio as gr
import random
import time
import shared
import argparse
import modules.path
import fooocus_version
import modules.html
import modules.async_worker as worker
import modules.flags as flags
import modules.gradio_hijack as grh
import modules.advanced_parameters as advanced_parameters
import comfy.model_management as model_management
from modules.sdxl_styles import style_keys, aspect_ratios, fooocus_expansion, default_styles
def generate_clicked(*args):
execution_start_time = time.perf_counter()
yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Initializing ...')), \
gr.update(visible=True, value=None), \
gr.update(visible=False)
worker.buffer.append(list(args))
finished = False
while not finished:
time.sleep(0.01)
if len(worker.outputs) > 0:
flag, product = worker.outputs.pop(0)
if flag == 'preview':
percentage, title, image = product
yield gr.update(visible=True, value=modules.html.make_progress_html(percentage, title)), \
gr.update(visible=True, value=image) if image is not None else gr.update(), \
gr.update(visible=False)
if flag == 'results':
yield gr.update(visible=False), \
gr.update(visible=False), \
gr.update(visible=True, value=product)
finished = True
execution_time = time.perf_counter() - execution_start_time
print(f'Total time: {execution_time:.2f} seconds')
return
shared.gradio_root = gr.Blocks(title='Fooocus ' + fooocus_version.version, css=modules.html.css).queue()
with shared.gradio_root:
with gr.Row():
with gr.Column():
progress_window = grh.Image(label='Preview', show_label=True, height=640, visible=False)
progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False, elem_id='progress-bar', elem_classes='progress-bar')
gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720, visible=True, elem_classes='resizable_area')
with gr.Row(elem_classes='type_row'):
with gr.Column(scale=0.85):
prompt = gr.Textbox(show_label=False, placeholder="Type prompt here.", container=False, autofocus=True, elem_classes='type_row', lines=1024)
with gr.Column(scale=0.15, min_width=0):
run_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', visible=True)
stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row', visible=False)
def stop_clicked():
model_management.interrupt_current_processing()
return gr.update(interactive=False)
stop_button.click(stop_clicked, outputs=stop_button, queue=False)
with gr.Row(elem_classes='advanced_check_row'):
input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
advanced_checkbox = gr.Checkbox(label='Advanced', value=False, container=False, elem_classes='min_check')
with gr.Row(visible=False) as image_input_panel:
with gr.Tabs():
with gr.TabItem(label='Upscale or Variation') as uov_tab:
with gr.Row():
with gr.Column():
uov_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy')
with gr.Column():
uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390">\U0001F4D4 Document</a>')
with gr.TabItem(label='Image Prompt') as ip_tab:
with gr.Row():
ip_ctrls = []
ip_ad_cols = []
for _ in range(4):
with gr.Column():
ip_ctrls.append(grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300))
with gr.Column(visible=False) as ad_col:
with gr.Row():
default_end, default_weight = flags.default_parameters[flags.default_ip]
ip_ctrls.append(gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end))
ip_ctrls.append(gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight))
ip_ctrls.append(gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False))
ip_ctrls[-1].change(lambda x: flags.default_parameters[x], inputs=ip_ctrls[-1], outputs=ip_ctrls[-3:-1], queue=False, show_progress=False)
ip_ad_cols.append(ad_col)
ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False)
gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href="https://github.com/lllyasviel/Fooocus/discussions/557">\U0001F4D4 Document</a>')
def ip_advance_checked(x):
return [gr.update(visible=x)] * len(ip_ad_cols)
ip_advanced.change(ip_advance_checked, inputs=ip_advanced, outputs=ip_ad_cols, queue=False)
with gr.TabItem(label='Inpaint or Outpaint (beta)') as inpaint_tab:
inpaint_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF")
gr.HTML('Outpaint Expansion (<a href="https://github.com/lllyasviel/Fooocus/discussions/414">\U0001F4D4 Document</a>):')
outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint', show_label=False, container=False)
gr.HTML('* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)')
switch_js = "(x) => {if(x){setTimeout(() => window.scrollTo({ top: 850, behavior: 'smooth' }), 50);}else{setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 50);} return x}"
down_js = "() => {setTimeout(() => window.scrollTo({ top: 850, behavior: 'smooth' }), 50);}"
input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox, outputs=image_input_panel, queue=False, _js=switch_js)
ip_advanced.change(lambda: None, queue=False, _js=down_js)
current_tab = gr.Textbox(value='uov', visible=False)
default_image = None
def update_default_image(x):
global default_image
if isinstance(x, dict):
default_image = x['image']
else:
default_image = x
return
def clear_default_image():
global default_image
default_image = None
return
uov_input_image.upload(update_default_image, inputs=uov_input_image, queue=False)
inpaint_input_image.upload(update_default_image, inputs=inpaint_input_image, queue=False)
uov_input_image.clear(clear_default_image, queue=False)
inpaint_input_image.clear(clear_default_image, queue=False)
uov_tab.select(lambda: ['uov', default_image], outputs=[current_tab, uov_input_image], queue=False, _js=down_js)
inpaint_tab.select(lambda: ['inpaint', default_image], outputs=[current_tab, inpaint_input_image], queue=False, _js=down_js)
ip_tab.select(lambda: 'ip', outputs=[current_tab], queue=False, _js=down_js)
with gr.Column(scale=0.5, visible=False) as right_col:
with gr.Tab(label='Setting'):
performance_selection = gr.Radio(label='Performance', choices=['Speed', 'Quality'], value='Speed')
aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=list(aspect_ratios.keys()),
value='1152×896', info='width × height')
image_number = gr.Slider(label='Image Number', minimum=1, maximum=32, step=1, value=2)
negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
info='Describing objects that you do not want to see.')
seed_random = gr.Checkbox(label='Random', value=True)
image_seed = gr.Number(label='Seed', value=0, precision=0, visible=False)
def random_checked(r):
return gr.update(visible=not r)
def refresh_seed(r, s):
if r:
return random.randint(1, 1024*1024*1024)
else:
return s
seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed], queue=False)
with gr.Tab(label='Style'):
style_selections = gr.CheckboxGroup(show_label=False, container=False,
choices=[fooocus_expansion] + style_keys,
value=[fooocus_expansion] + default_styles,
label='Image Style')
with gr.Tab(label='Model'):
with gr.Row():
base_model = gr.Dropdown(label='SDXL Base Model', choices=modules.path.model_filenames, value=modules.path.default_base_model_name, show_label=True)
refiner_model = gr.Dropdown(label='SDXL Refiner', choices=['None'] + modules.path.model_filenames, value=modules.path.default_refiner_model_name, show_label=True)
with gr.Accordion(label='LoRAs', open=True):
lora_ctrls = []
for i in range(5):
with gr.Row():
lora_model = gr.Dropdown(label=f'SDXL LoRA {i+1}', choices=['None'] + modules.path.lora_filenames, value=modules.path.default_lora_name if i == 0 else 'None')
lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=modules.path.default_lora_weight)
lora_ctrls += [lora_model, lora_weight]
with gr.Row():
model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
with gr.Tab(label='Advanced'):
sharpness = gr.Slider(label='Sampling Sharpness', minimum=0.0, maximum=30.0, step=0.001, value=2.0,
info='Higher value means image and texture are sharper.')
guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01, value=7.0,
info='Higher value means style is cleaner, vivider, and more artistic.')
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117">\U0001F4D4 Document</a>')
dev_mode = gr.Checkbox(label='Developer Debug Mode', value=False, container=False)
with gr.Column(visible=False) as dev_tools:
with gr.Tab(label='Developer Control and Debug Tools'):
adm_scaler_positive = gr.Slider(label='Positive ADM Guidance Scaler', minimum=0.1, maximum=3.0,
step=0.001, value=1.5, info='The scaler multiplied to positive ADM (use 1.0 to disable). ')
adm_scaler_negative = gr.Slider(label='Negative ADM Guidance Scaler', minimum=0.1, maximum=3.0,
step=0.001, value=0.8, info='The scaler multiplied to negative ADM (use 1.0 to disable). ')
adm_scaler_end = gr.Slider(label='ADM Guidance End At Step', minimum=0.0, maximum=1.0,
step=0.001, value=0.3,
info='When to end the guidance from positive/negative ADM. ')
adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01, value=7.0,
info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
'(effective when real CFG > mimicked CFG).')
sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list, value=flags.default_sampler, info='Only effective in non-inpaint mode.')
scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list, value=flags.default_scheduler, info='Scheduler of Sampler.')
overwrite_step = gr.Slider(label='Forced Overwrite of Sampling Step',
minimum=-1, maximum=200, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_switch = gr.Slider(label='Forced Overwrite of Refiner Switch Step',
minimum=-1, maximum=200, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_width = gr.Slider(label='Forced Overwrite of Generating Width',
minimum=-1, maximum=2048, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_height = gr.Slider(label='Forced Overwrite of Generating Height',
minimum=-1, maximum=2048, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_vary_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Vary"',
minimum=-1, maximum=1.0, step=0.001, value=-1,
info='Set as negative number to disable. For developer debugging.')
overwrite_upscale_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Upscale"',
minimum=-1, maximum=1.0, step=0.001, value=-1,
info='Set as negative number to disable. For developer debugging.')
mixing_image_prompt_and_vary_upscale = gr.Checkbox(label='Mixing Image Prompt and Vary/Upscale', value=False)
mixing_image_prompt_and_inpaint = gr.Checkbox(label='Mixing Image Prompt and Inpaint', value=False)
debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessor of ControlNets', value=False)
disable_soft_cn = gr.Checkbox(label='Do not use soft weighting in ControlNets', value=False)
adps = [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name,
scheduler_name, overwrite_step, overwrite_switch, overwrite_width, overwrite_height,
overwrite_vary_strength, overwrite_upscale_strength,
mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint,
debugging_cn_preprocessor, disable_soft_cn]
def dev_mode_checked(r):
return gr.update(visible=r)
dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools], queue=False)
def model_refresh_clicked():
modules.path.update_all_model_names()
results = []
results += [gr.update(choices=modules.path.model_filenames), gr.update(choices=['None'] + modules.path.model_filenames)]
for i in range(5):
results += [gr.update(choices=['None'] + modules.path.lora_filenames), gr.update()]
return results
model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls, queue=False)
advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, right_col, queue=False)
ctrls = [
prompt, negative_prompt, style_selections,
performance_selection, aspect_ratios_selection, image_number, image_seed, sharpness, guidance_scale
]
ctrls += [base_model, refiner_model] + lora_ctrls
ctrls += [input_image_checkbox, current_tab]
ctrls += [uov_method, uov_input_image]
ctrls += [outpaint_selections, inpaint_input_image]
ctrls += ip_ctrls
run_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False), []), outputs=[stop_button, run_button, gallery])\
.then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed)\
.then(advanced_parameters.set_all_advanced_parameters, inputs=adps)\
.then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, gallery])\
.then(lambda: (gr.update(visible=True), gr.update(visible=False)), outputs=[run_button, stop_button])
parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=None, help="Set the listen port.")
parser.add_argument("--share", action='store_true', help="Set whether to share on Gradio.")
parser.add_argument("--listen", type=str, default=None, metavar="IP", nargs="?", const="0.0.0.0", help="Set the listen interface.")
args = parser.parse_args()
shared.gradio_root.launch(inbrowser=True, server_name=args.listen, server_port=args.port, share=args.share)