-
Notifications
You must be signed in to change notification settings - Fork 9
/
ai-atelier.py
1023 lines (939 loc) · 298 KB
/
ai-atelier.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
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
import streamlit as st
import streamlit_nested_expanders
import sys
import os
import gc
import pathlib
import shutil
from os.path import exists as path_exists
import glob
from git.repo.base import Repo
import argparse
import random
import string
from io import BytesIO
from PIL import Image
import torch
from pathvalidate import sanitize_filename
import time
import requests
import webbrowser
from kora.xattr import get_id
from setup import textsynth_completion
# To debug on mac
# from setup_mac import textsynth_completion
torch.cuda.empty_cache()
sys.path.append("./guided-diffusion")
sys.path.append("./latent-diffusion")
sys.path.append(".")
sys.path.append("./taming-transformers")
sys.path.append("./disco-diffusion")
sys.path.append("./AdaBins")
# Horrible hacks below, Streamlit really makes your life hard when it comes to customzing
# Couldn't agree more
custom_css = """
<style>
.css-18e3th9{padding-top: .75em}
/*Generate your answers button*/
.appview-container > section > div > div > div > div.css-1p05t8e.epcbefy1 > div:nth-child(1) > div > div > div > div > button{color: #B6A4FC}
/*like button*/
.appview-container > section > div > div:nth-child(1) > div > div:nth-child(6) > div:nth-child(1) > div > div:nth-child(4){position: relative; left: 0px; top: 51.5px; margin: 0;}
/*history button - the widget( > div > div > button ) is not moves along cause overlap bug*/
.appview-container > section > div > div:nth-child(1) > div > div:nth-child(6) > div:nth-child(1) > div > div:nth-child(5){position: relative; left: 90px;}
/*like and history button text colour*/
.appview-container > section > div > div:nth-child(1) > div > div:nth-child(6) > div:nth-child(1) > div > div:nth-child(5) > div > div > button{color: rgb(209 209 209 / 100%)}
.appview-container > section > div > div:nth-child(1) > div > div:nth-child(6) > div:nth-child(1) > div > div:nth-child(4) > div > div > button{color: rgb(209 209 209 / 100%)}
.streamlit-expanderHeader {opacity: 0.8}
/*Modify buttons for prompt enhancers*/
/*OMG update div:nth-child(4) to 11*/
.appview-container > section > div > div > div > div:nth-child(12) .streamlit-expanderContent div[data-testid="stVerticalBlock"] div:nth-child(2) > div {flex-direction: row !important;flex-wrap: wrap}
.appview-container > section > div > div > div > div:nth-child(12) .streamlit-expanderContent div[data-testid="stVerticalBlock"] div:nth-child(2) > div div{width: auto !important}
/*Horizontal Radio - Image generation model*/
div.row-widget.stRadio > div{flex-direction:row} div.row-widget.stRadio > div label {margin-right: .75em;} div.row-widget.stRadio > div label:last-child{margin-right: 0}
/*Generate your piece button*/
.appview-container > section > div > div > div > div:nth-child(13){color: #B6A4FC;padding-top: 0px}
/*Gallery view*/
.appview-container > section > div > div > div > div:nth-child(14) > div:nth-child(1) > div > div.css-ocqkz7.e1tzin5v0 > div:nth-child(1) > div:nth-child(1){padding-top: 2.0em}
/*Notice*/
.appview-container > section > div > div > div > div:nth-child(14) > div:nth-child(1) > div > div.css-ocqkz7.e1tzin5v0 > div:nth-child(1) > div:nth-child(1) > div > div:nth-child(4) > div > div > p{color: rgb(209 209 209 / 55%)}
footer:after{
content: "MindsEye GUI by multimodal.art. Disco Diffusion v5 model by @somnai_dreams and @gandamu, based on the foundational work of @RiversHaveWings, with modifications by @danielrussruss, Dango233, Chigozie Nri's, @softologyComAu and others. Hypertron v2 VQGAN model by Philipuss adapted from @RiversHaveWings with modifications by @jbusted1, @softologyComAu and others. Original GAN+CLIP by @advadnoun. CLIP and Guided Diffusion were originally released by OpenAI. VQGAN was released by CompVis Heidelberg"
}
.footer {left: 0;text-align: left;padding-left: 4em;padding-right: 4em;padding-top: 1.5em;width: 109%;margin-left: -4.5%;margin-top: 4.5em}
.block-container{padding-bottom: 2em}
.footer small small{color: rgb(0 0 0 / 50%)}
.footer small small a{opacity: 0.8}
.css-ffhzg2 .footer {background-color: #0e1117;color: rgb(209 209 209 / 75%);border-top: 1px solid #929096;}
.css-ffhzg2 .footer small small{color: rgb(209 209 209 / 35%)}
.css-v37k9u a{color: rgb(209 209 209 / 75%)}
.stButton a{color: white;text-decoration: none}
.stButton a:hover{color: #B6A4FC}
a{color: rgb(209 209 209 / 35%)}
.css-2ykyy6{display: none}
div[data-testid="stToolbar"] button{pointer-events: auto !important;filter: grayscale(0) !important;opacity: 1 !important;}
.bottom-line .stButton{margin-bottom: 0.75em}
.bottom-line small{opacity: 0.75}
</style>
"""
st.set_page_config(page_title=" AI Atelier Beta", page_icon="🔮", layout="wide",)
class DefaultPaths:
root_path = f"."
if not (path_exists(f"/content/drive/MyDrive/")):
is_drive = False
model_path = root_path
output_path = f"{root_path}/outputs"
else:
is_drive = True
drive_path = f"/content/drive/MyDrive/ai-atelier"
model_path = f"{drive_path}/models"
output_path = f"{drive_path}/outputs"
initial_load = st.empty()
initial_load.empty()
st.write(
"<h2> AI Atelier Beta🔮🎯 <small> ai animation toolkit by Muhan Xu <a href='http://www.aiiiii.com/' target='_blank'>Aiiiii</a></small> </h2>",
unsafe_allow_html=True,
)
st.subheader('💬 Ask AI [text-to-text]')
def add_heart_item():
if DefaultPaths.is_drive:
text_output_folder = f"{DefaultPaths.drive_path}/text_history"
if not path_exists(text_output_folder):
os.makedirs(text_output_folder)
else:
text_output_folder = "."
with open(text_output_folder+"/text_history.txt", "a") as f:
f.truncate()
f.write("\n💗💗💗")
print("add heart")
def open_history_log():
from kora.xattr import get_id
if DefaultPaths.is_drive:
output_folder = f"{DefaultPaths.drive_path}/text_history"
if not path_exists(output_folder):
os.makedirs(output_folder)
fid = get_id(output_folder)
url = 'https://drive.google.com/drive/folders/'+fid
print("Url: "+url)
webbrowser.open_new_tab(url)
def text_main():
user_input = st.text_input(
"Chat with AI for inspiration!", value="", placeholder="What is the most beautiful scene you recall?", max_chars=512
)
# set default value with empty input
if(user_input == ""):
user_input = "What is the most beautiful scene you recall?"
with st.expander("Generation options (optional)"):
col1, col2, col3, col4 = st.columns(4)
with col1:
api_engine = st.selectbox(
'Choose a language model',
('gptj_6B', 'gptneox_20B'),
help='''GPT-J is a 6 billion parameter English model trained on the Pile (825 GB of text data) published by EleutherAI.
GPT-NeoX-20B is the largest publically available English language model with 20 billion parameters. ''')
with col2:
length = st.slider(
"Maximum length",
1,
800,
500,
10,
help="Maximum length of the generated texts."
)
max_tokens = int(round(length / 4))
with col3:
top_p = st.slider(
"Top_p",
0.01,
1.0,
0.9,
0.1,
help="Controls diversity via nucleus sampling. A higher top_p gives more diversity but a potentially less relevant output. (default = 0.9)"
)
with col4:
top_k = st.slider(
"Top_k",
1,
60, # 100,
40,
1,
help="A higher top_k gives more diversity but a potentially less relevant output. (default = 40)"
)
response = None
with st.form(key="text_generation"):
submit_button = st.form_submit_button(label="Generate your answers 💬 ")
if submit_button:
demonstrations = ''''''
# Q: What do you think the most beautiful aliens look like?
# A: The most beautiful alien life in my mind is a gentle and peaceful race of creatures that live in the stars. They are incredibly graceful, and their beauty is breathtaking. They are always happy and enjoy spending time with others of their kind. They are the perfect representation of peace and harmony in the universe.
# Q: What do you think the most beautiful aliens look like?
# A: To me, the most beautiful alien life would be something completely different from anything we know. It would be awe-inspiring and mysterious, something that would make us question our place in the universe.
# Q: What do you think the most beautiful aliens look like?
# A: A beautiful and ethereal alien life form that resembles a cross between a butterfly and a fairy. This being is delicate, graceful, and luminous, and seems to embody the beauty and mystery of the universe.
stop = "Q: ", "A: "
temperature = 1.0
prompt = demonstrations + "\nQ: " + user_input+'\nA: '
with st.spinner('Generating...'):
res = textsynth_completion(prompt, api_engine, max_tokens, top_k, top_p, stop, temperature)
# st.write( prompt, api_engine, max_tokens, top_k, top_p, stop, temperature)
# print("\nQ: " + user_input + '\nA: ' + res)
# st.balloons()
st.write("🙂 Q: " + user_input + ' \n🤖 A: ' + res)
if DefaultPaths.is_drive:
text_output_folder = f"{DefaultPaths.drive_path}/text_history"
if not path_exists(text_output_folder):
os.makedirs(text_output_folder)
from kora.xattr import get_id
fid = get_id(text_output_folder)
else:
text_output_folder = "."
fid = "."
with open(text_output_folder+"/text_history.txt", "a") as f:
from datetime import datetime
now = datetime.now()
dt_string = now.strftime("%Y/%m/%d %H:%M:%S")
save_pre_fix = "\n\n================ " + dt_string + " ================"
text_settings = "api_engine: " + str(api_engine) + " | max_tokens: " + str(max_tokens) + " | top_k: " + str(
top_k) + " | top_p: " + str(top_p) + " | temperature: " + str(temperature) + " | stop: " + str(stop)
file_content = save_pre_fix + "\nSettings: " + \
text_settings + "\n\nQ: " + user_input + '\nA: ' + res
f.truncate()
f.write(file_content)
print(dt_string + " log save")
heart_button = st.form_submit_button(
label="💗 Like", on_click=add_heart_item)
url = 'https://drive.google.com/drive/folders/'+fid
print("url: "+url)
from bokeh.models.widgets import Div
if st.form_submit_button('📜 History'):
# New tab
js = "window.open('" + url + "')"
print(js)
html = '<img src onerror="{}">'.format(js)
div = Div(text=html)
st.bokeh_chart(div)
# st.write(
# f'<div class="bottom-line"><div class="row-widget stButton"><a kind="primary" class="css-1q8dd3e edgvbvh1" href="https://drive.google.com/drive/folders/{fid}" target="_blank">History</a></div>',
# unsafe_allow_html=True,
# )
text_main()
st.markdown("<br /> ", unsafe_allow_html=True)
st.markdown("---", unsafe_allow_html=True)
st.markdown("<br /> ", unsafe_allow_html=True)
st.subheader('🎨 Let AI draw [text-to-image]')
page_names = ["[Coherent] CLIP Guided Diffusion", "[Artistic] VQGAN+CLIP"]
if "width" not in st.session_state:
st.session_state["width"] = 832
if "height" not in st.session_state:
st.session_state["height"] = 448
if "seed" not in st.session_state:
init_seed = int(random.randint(0, 2147483647))
st.session_state.seed = init_seed
else:
init_seed = st.session_state.seed
if "user_input" not in st.session_state:
st.session_state.user_input = "A beautiful painting of a bizarre lighthouse by greg rutkowski and thomas kinkade shines its light on a sea of turbulent blood|Trends on artstation|Cyberpunk colour schemes"
user_input = st.text_input(
"Summarized AI's response, and try to add some prompt enhancers to generate your AI drawing.",
st.session_state.user_input,
help="The text you type here will be used for the AI to generate an image based on it. If you want multiple prompts you can separate them via a `|`, so if you want `sun|moon` it will try to utilize both. If you want that they are weighted differently, you can use `:` with the following syntax `sun:1|moon:2`, here `moon` will have 2x the weight of `sun`", max_chars=300
)
def add_to_prompt(new_prompt):
global user_input
st.session_state.user_input = new_prompt+user_input
def dimensions_compatibility(type, after):
if type == "width":
dimension = st.session_state.width
elif type == "height":
dimension = st.session_state.height
if dimension % 64 != 0:
dimension = 64 * round(dimension / 64)
if type == "width":
st.session_state.width = dimension
elif type == "height":
st.session_state.height = dimension
after.info("We rounded your value to a multiple of 64")
enhancers = st.expander("Prompt enhancers (optional)")
with enhancers:
st.write(
'''Adding enhancers to your prompts can produce very different results to the generated images, the few below are some examples that can produce interesting results. </br>
You can learn more about Prompt Engineering from the following links.
<a href='https://matthewmcateer.me/blog/clip-prompt-engineering/'>1</a> /
<a href='https://peakd.com/@kaliyuga/model-comparison-study-for-disco-diffusion-v-5-ai-resources-by-kaliyuga'>2</a> /
<a href='https://docs.google.com/spreadsheets/d/1P9fM68jKeA1IH45i_qXINu2QhIcmCJXQSdLTxRI23oE/edit#gid=0'>3</a> /
<a href='https://weirdwonderfulai.art/resources/disco-diffusion-70-plus-artist-studies/'>4</a> /
<a href='https://weirdwonderfulai.art/resources/disco-diffusion-modifiers/'>5</a> ''',
unsafe_allow_html=True,
)
with st.container():
# ]
# for enhancer in listofenhancers:
# st.button(enhancer, on_click=add_to_prompt, key=1,args=(enhancer,))
# code = '''Reference Website'''
# st.code(code, language='python')
st.write("- Artists")
Artists = [
"by John Harris, ",
"by Van Gogh, ",
"by Dan Mumford, ",
"by Thomas Kinkade, ",
"by Krenz, ",
"by Beeple, ",
"by Léon Spilliaert, ",
"by Peter Mohrbacher, ",
"by Alphonse Mucha, ",
"by Gerhard Richter, ",
"by Cy Twombly, ",
"by Hiroshi Yoshida, ",
"by Paul Signac , ",
"by James Gurney, ",
]
for enhancer in Artists:
st.button(enhancer, on_click=add_to_prompt,
key=1, args=(enhancer,))
st.write("- Material Type")
Material_Type = [
" made of clouds, ",
" made of flower, ",
" made of bubbles, ",
" made of city, ",
" made of crystals, ",
" made of marble sculpture, ",
" made of liquid metal, ",
" made of mist, ",
]
for enhancer in Material_Type:
st.button(enhancer, on_click=add_to_prompt,
key=2, args=(enhancer,))
st.write("- Painting Style")
Painting_Style = [
"watercolour, ",
" oil on canvas, ",
" pencil sketch, ",
" children's drawing, ",
"in Renaissance painting style, ",
" anime style, ",
"in ukiyo-e style, ",
"in chinese ink painting style, ",
" persian miniature painting, ",
"in soviet propaganda style, ",
]
for enhancer in Painting_Style:
st.button(enhancer, on_click=add_to_prompt,
key=3, args=(enhancer,))
st.write("- Image Style")
Reference_Website = [
"trending on artstation, ",
"trending on flickr, ",
"trending on cgsociety, ",
"8k resolution, ",
"unreal engine, ",
"volumetric lighting, ",
"geometric, ",
"1995, ",
"lens flare, ",
"high quality, ",
"an abstract sculpture, ",
]
for enhancer in Reference_Website:
st.button(enhancer, on_click=add_to_prompt,
key=4, args=(enhancer,))
st.write("- Art Movement")
Art_Movement = [
"in surrealism style, ",
"in minimalist style, ",
"in cubism style, ",
"in futurism style, ",
"in glitch art style, ",
]
for enhancer in Art_Movement:
st.button(enhancer, on_click=add_to_prompt,
key=5, args=(enhancer,))
# Soon add a media input for image/audio as prompts
# col2_input.write('and/or')
# user_input_image = col3_input.file_uploader("A media prompt (image or audio file)",type=["png","jpg","wav"],help="Media prompts only work with VQGAN-CLIP for now (Guided Diffusion coming soon)")
# st.write('<style>.block-container > div div[data-testid="stHorizontalBlock"] div[data-testid="stBlock"]:nth-child(2) {display: flex;flex-direction: column;justify-content: center} .block-container > div div[data-testid="stHorizontalBlock"] div[data-testid="stBlock"]:nth-child(2) p{text-align: center}<style>', unsafe_allow_html=True)
page = st.radio("Image generation model", page_names, index=0)
col_submit1, col_submit2 = st.columns([3, 1])
settings = col_submit1.expander("Model settings (optional)")
gensettings = col_submit2.expander("Generation settings (optional)")
with settings:
if page == "[Coherent] CLIP Guided Diffusion":
# Weirdly enough this is necessary for the value not going to zero when a prompt is enhanced. Maybe streamlit bug.
st.session_state.width = st.session_state.width
st.session_state.height = st.session_state.height
sub_model_names = ["Disco Diffusion v5"]
sub_model = st.radio("Implementation", sub_model_names, index=0)
col1, col2, col3 = st.columns(3)
num_steps = int(
col1.number_input(
"Number of steps",
value=250,
min_value=0,
max_value=None,
step=10,
help="How many iterations until your image is generated. The more, the best quality, but takes longer to generate. Has diminishing returns",
)
)
width_input = col2.empty()
width = int(
width_input.number_input(
"Width",
max_value=None,
key="width",
step=64,
on_change=dimensions_compatibility("width", col2),
help="Width of the generated image, you'll probably want to go above 512px only if you have Colab Pro",
)
)
height_input = col3.empty()
height = int(
height_input.number_input(
"Height",
max_value=None,
step=64,
key="height",
on_change=dimensions_compatibility("height", col3),
help="Height of the generated image, you'll probably want to go above 512px only if you have Colab Pro",
)
)
uploaded_file = st.file_uploader(
"Start with this image (optional)",
type=["png", "jpg"],
help="Start your creation with this image instead of starting from scratch",
)
if uploaded_file is not None:
col1, col2 = st.columns(2)
initscale = col1.number_input(
"Init scale - How strongly should the model follow the init image",
value=1000,
)
skipseedtimesteps = col2.number_input(
"Skip timesteps - the number of timesteps to spend blending the image with the guided-diffusion samples",
value=350,
)
if num_steps <= skipseedtimesteps:
col2.error(
"The number of steps has to be higher than the timesteps skipped"
)
else:
initscale = 1000
skipseedtimesteps = 350
advanced_settings = st.expander("Advanced Settings")
with advanced_settings:
col1, col2 = st.columns(2)
clip_models = [
"ViT-B/16",
"ViT-B/32",
"ViT-L/14",
"RN50",
"RN101",
"RN50x4",
"RN50x16",
"RN50x64",
]
clip_model = col1.multiselect(
"CLIP Model",
clip_models,
default=["ViT-B/16", "ViT-B/32", "RN50"],
help="Select the CLIP models you want used in your piece. If you don't have Colab Pro you probably don't want to select ViT-L/14 or RN50x64",
)
seed = col1.number_input(
"Seed",
# key="seed",
value=init_seed,
step=1,
help="Random seed to add randomness to the whole thing",
)
cutouts = col1.number_input(
"Cutouts",
value=16,
help="How many cuts CLIP, or snapshots that CLIP uses to evaluate your image while processing, does to the image. More is good but except if you have Colab Pro, you'll probably get an error.",
)
guidance_scale = col1.number_input(
"CLIP Guidance Scale",
value=5000,
help="How much CLIP should be guided by your prompt (default = 1000)",
)
tv_scale = col1.number_input(
"TV scale",
value=0,
help="Controls ‘smoothness’ of final output. Set to zero to turn off. If used, tv_scale will try to smooth out your final image to reduce overall noise. If your image is too ‘crunchy’, increase tv_scale. TV denoising is good at preserving edges while smoothing away noise in flat regions.",
)
range_scale = col1.number_input(
"Range scale",
value=180,
help="Used for adjustment of color contrast. Set to zero to turn off. Lower range_scale will increase contrast. Very low numbers create a reduced color palette, resulting in more vibrant or poster-like images. Higher range_scale will reduce contrast, for more muted images.",
)
sampling_mode = col2.selectbox(
"Sampling mode",
options=[
"bicubic",
"ddim",
"plms",
],
index=0,
help="`Bicubic` is faster. \n`Ddim` is better quality. \n`Plms` can generate better images with less steps. \nExperiment and see!",
)
sat_scale = col2.number_input(
"Sat scale",
value=0,
help="Saturation scale. Optional, set to zero to turn off. If used, `sat_scale` will help mitigate oversaturation. If your image is too saturated, **increase** `sat_scale` to reduce the saturation.",
)
cutout_batches = col2.number_input(
"Cutout Batches",
value=1,
help="How batches of cuts will be made to the image for CLIP to evaluate. The higher the value, the more batches, but your generation will take more time.",
)
cut_ic_pow = col2.number_input(
"Cut ic pow",
value=1.0,
step=0.1,
help="This sets the size of the border used for inner cuts. High cut_ic_pow values have larger borders, and therefore the cuts themselves will be smaller and provide finer details. If you have too many or too-small inner cuts, you may lose overall image coherency and/or it may cause an undesirable ‘mosaic’ effect. Low cut_ic_pow values will allow the inner cuts to be larger, helping image coherency while still helping with some details. (Default 1.0|Range 0.5-100)")
eta = col2.number_input(
"ETA",
value=0.8,
step=0.1,
help="eta (greek letter η) is a diffusion model variable that mixes in a random amount of scaled noise into each timestep. 0 is no noise, 1.0 is more noise.",
)
use_augs = col2.checkbox(
"Use augs",
value=False,
help="If selected, will include torchvision augmentations. This will slow down render times, but can affect image style as well. Suggest you experiment with this setting to understand how it affects your projects.",
)
secondary_model = col2.checkbox(
"Use secondary model",
value=True,
help="The secondary model is a model that cleans up interim diffusion images for CLIP evaluation. Using the secondary model is faster (~50% faster)! But that speed comes with trade-offs, where some report reduced image quality and detail. Maybe experiment with this. ",
)
elif page == "[Artistic] VQGAN+CLIP":
sub_model_names = ["Hypertron v2"]
sub_model = st.radio("Implementation", sub_model_names, index=0)
col1, col2, col3 = st.columns(3)
num_steps = int(
col1.number_input(
"Number of steps",
value=500,
min_value=0,
max_value=None,
step=10,
help="How many iterations. The more, the more detailed image but also the longer it takes to generate it.",
)
)
width = int(
col2.number_input(
"width",
value=640,
max_value=None,
step=1,
help="Width of the generated image. If you don't have Colab Pro probably don't go higher than 512px",
)
)
height = int(
col3.number_input(
"height",
value=360,
max_value=None,
step=1,
help="Height of the generated image. If you don't have Colab Pro probably don't go higher than 512px",
)
)
uploaded_file = st.file_uploader(
"Start with this image (optional)",
type=["png", "jpg"],
help="Start your creation with this image instead of starting from scratch",
)
advanced_settings = st.expander("Advanced Settings")
with advanced_settings:
col1, col2 = st.columns(2)
model_names = [
"vqgan_imagenet_f16_16384",
# "vqgan_imagenet_f16_1024",
# "wikiart_1024",
# "wikiart_16384",
# "wikiart_7mil",
# "coco",
# "coco_first_stage",
# "sflikr",
]
vqgan_model = col1.radio(
"Pre-trained model",
model_names,
index=0,
help="The models affect how well the VQGAN can compose certain elements. More models coming soon",
# help="The model the VQGAN was pre-trained on. Explore different ones, the default one usually produces more consistent results, but the wikiart and coco ones can also show interesting outputs",
)
clip_models = [
"ViT-B/16",
"ViT-B/32",
"ViT-L/14",
"RN50",
"RN101",
"RN50x4",
"RN50x16",
"RN50x64",
]
clip_model = col1.multiselect(
"CLIP Models",
clip_models,
default=["ViT-B/32"],
help="Select the CLIP models you want used in your piece. If you don't have Colab Pro you probably don't want to select ViT-L/14 or RN50x64",
)
seed = col1.number_input("Seed", value=init_seed, step=1)
# template = col1.select("Template")
# learning_rate = col1.number_input(
# "Learning rate",
# value=0.1,
# step=0.1,
# help="Defines how 'fast' the image will evolve from one iteration to another. Experiment with this value to understand how much more detail you can get into the image",
# )
# cutouts = col1.number_input(
# "Cutouts",
# value=64,
# help="How many times the image will be split for CLIP's assessment. 64 sounds good for [Artistic] VQGAN+CLIP",
# )
# cut_power = col1.number_input(
# "Cut power",
# value=4,
# help="Makes them close to the min end, which means possibly more details.",
# )
template = col1.selectbox(
"Parameter tweaking template",
options=[
"none",
"Balanced",
"Detailed",
"Consistent Creativity",
"Realistic",
"Smooth",
"Subtle MSE",
"Hyper Fast Results",
# "----------Complete Overhaul----------",
# "flag",
# "planet",
# "creature",
# "----------Sizes----------",
# "Size: Square",
# "Size: Landscape",
# "Size: Poster",
# "----------Prompt Modifiers----------",
# "Better - Fast",
# "Better - Slow",
# "Movie Poster",
# "Negative Prompt",
# "Better Quality",
],
index=3,
)
mse = col1.checkbox(
"Enable MSE regularization",
value=True,
help="MSE regularization techniques by @jbusted1. ",
)
flavor = col2.radio(
"Flavor",
[
"ginger",
"cumin",
"holywater",
"zynth",
"wyvern",
"aaron",
"moth",
"juu",
],
help="Tunes a bunch of parameters to create a 'flavor' as in the images below",
)
col2.write(
"<img src='data:image/png;base64,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' width='100%' /><div style='text-align: center;margin-top: -1.5em; opacity: 0.7'><i><small>by Philipuss#4066</small></i></div>",
unsafe_allow_html=True,
)
with gensettings:
how_many_frames = 0
intermediary_frames = st.checkbox("Save intermediary frames", value=True)
if intermediary_frames:
frames_display = st.empty()
how_many_frames = frames_display.number_input(
f"Save image every x frames",
value=10,
min_value=1,
max_value=num_steps,
step=1,
help="Save the intermediary frames every x iterations",
)
how_many_runs = 1
randomize_seed = True
batch_mode = st.checkbox("Batch mode", value=False)
if batch_mode:
how_many_runs = st.number_input(
"How many runs?",
value=5,
step=1,
help="How many runs will be done in batch mode",
)
batch_folder = st.text_input(
label="Folder name for your batch run",
placeholder="Leave blank to keep the main output folder",
)
randomize_seed = st.checkbox("Randomize seed between runs", value=True)
generate_video = st.checkbox("Generate videos", value=False)
how_many_fps = 0
if generate_video:
how_many_fps = st.selectbox(
'How many frames per second?',
('25', '30', '60'),
help="How many images per second will be stored in the video",)
how_many_fps = int(how_many_fps)
video_time = num_steps/how_many_fps
st.write('Your video will last ', '%.3f' % video_time, ' seconds')
video_frame = True
intermediary_frames = True
how_many_frames = 1
# generate the video
else:
video_frame = False
with st.form(key="image_generation"):
submit = st.form_submit_button("Generate your piece 🎨")
def run_internal(args, status, stoutput, gray_during_execution):
gc.collect()
torch.cuda.empty_cache()
status.write("Loading...")
if page == "[Coherent] CLIP Guided Diffusion":
if sub_model == "Disco Diffusion v5":
import disco_streamlit_run as model
if page == "[Artistic] VQGAN+CLIP":
if sub_model == "Hypertron v2":
import hypertron_streamlit_run as model
gray_during_execution.markdown(
'<style>div.row-widget.stRadio > div, label[data-baseweb="checkbox"],button{pointer-events: none;filter: grayscale(1);opacity: 0.5;}</style>',
unsafe_allow_html=True,
)
model.run_model(args, status, stoutput, DefaultPaths)
gray_during_execution.markdown(
'<style>div.row-widget.stRadio > div, label[data-baseweb="checkbox"],button{pointer-events: auto;filter: grayscale(0);opacity: 1;}</style>',
unsafe_allow_html=True,
)
col_output1, col_output2 = st.columns(2)
with col_output1:
from kora.xattr import get_id
gallery_text_area = st.empty()
gallery_image_area = st.empty()
if DefaultPaths.is_drive:
output_folder = f"{DefaultPaths.drive_path}/outputs"
if not path_exists(output_folder):
os.makedirs(output_folder)
fid = get_id(output_folder)
if os.listdir(output_folder):
files_path = os.path.join(output_folder, "*.png")
files = sorted(glob.iglob(files_path),
key=os.path.getctime, reverse=True)
try:
gallery_text_area.write("Your last creation:")
gallery_image_area.image(Image.open(files[0]))
except:
gallery_text_area = st.empty()
gallery_image_area = st.empty()
url = 'https://drive.google.com/drive/folders/'+fid
from bokeh.models.widgets import Div
if st.form_submit_button('View your gallery on Google Drive'):
js = "window.open('" + url + "')" # New tab or window
print(js)
html = '<img src onerror="{}">'.format(js)
div = Div(text=html)
st.bokeh_chart(div)
# st.write(
# f'<div class="bottom-line"><div class="row-widget stButton"><a kind="primary" class="css-1q8dd3e edgvbvh1" href="https://drive.google.com/drive/folders/{fid}" target="_blank">View your gallery on Google Drive</a></div>',
# # <small>We <b>do not collect prompts or results</b>. Your creations don\'t belong to MindsEye. Read our <a href="https://multimodal.art/mindseye#f-a-q" target="_blank">FAQ</a>.<br>Feel free to reference #MindsEye and tag <a href="https://multimodal.art/multimodalart" target="_blank">@multimodalart</a> when sharing your creations if you wish</small></div>',
# unsafe_allow_html=True,
# )
else:
st.write(
f'<div class="bottom-line"><div class="row-widget stButton"><button disabled kind="primary" class="css-1q8dd3e edgvbvh1">No gallery found. Rerun Colab and connect to Drive to save pieces in a gallery</button></div>',
# <small>We <b>do not collect prompts or results</b>. Your creations don\'t belong to MindsEye. Read our <a href="https://multimodal.art/mindseye#f-a-q" target="_blank">FAQ</a>.<br>Feel free to reference #MindsEye and tag <a href="https://multimodal.art/multimodalart" target="_blank">@multimodalart</a> when sharing your creations if you wish</small></div>',
unsafe_allow_html=True,
)
st.write(
"Right-click to download your generated images and videos directly from Google Drive")
if os.path.exists("progress.png"):
gallery_text_area.write("Your last creation:")
gallery_image_area.image(Image.open("progress.png"))
def intermediary_frame_setup(seed):
# save intermediary frame
filename_prompt = sanitize_filename(user_input)
if len(filename_prompt) > 80:
l = len(filename_prompt)
l2 = l-80
filename_prompt = filename_prompt[:l-l2]
filename_prompt = sanitize_filename(filename_prompt)
print("New shorten prompts in filename:" + filename_prompt)
video_frame_folder = ""
if intermediary_frames:
intermediary_folder = f"{DefaultPaths.output_path}/frames/{filename_prompt} [{sub_model}] {int(seed)}_frames"
if not path_exists(intermediary_folder):
os.makedirs(intermediary_folder)
update_every = how_many_frames
elif video_frame:
video_frame_folder = f"{DefaultPaths.output_path}/video_frames/{filename_prompt} [{sub_model}] {int(seed)}_frames"
if not path_exists(video_frame_folder):
os.makedirs(video_frame_folder)
update_every = how_many_frames
else:
intermediary_folder = None
update_every = 10
return intermediary_folder, video_frame_folder, update_every
gray_during_execution = st.empty()
if submit:
meta_status = col_output2.empty()
status = col_output2.empty()
if uploaded_file is not None:
image_data = uploaded_file.read()
f = open(uploaded_file.name, "wb")
f.write(image_data)
f.close()
image_path = uploaded_file.name
else:
image_path = None
intermediary_folder, video_frame_folder, update_every = intermediary_frame_setup(
seed)
if page == "[Artistic] VQGAN+CLIP":
args = argparse.Namespace(
prompt=user_input,
seed=int(seed),
sizex=width,
sizey=height,
flavor=flavor,
iterations=num_steps,
mse=True,
update=update_every,
template=template,
clip_model_1="ViT-B/32" if "ViT-B/32" in clip_model else None,
clip_model_2="ViT-B/16" if "ViT-B/16" in clip_model else None,
clip_model_3="ViT-L/14" if "ViT-L/14" in clip_model else None,
clip_model_4="RN50x64" if "RN50x64" in clip_model else None,
clip_model_5="RN50x16" if "RN50x16" in clip_model else None,
clip_model_6="RN50x4" if "RN50x4" in clip_model else None,
clip_model_7="RN50" if "RN50" in clip_model else None,
clip_model_8="RN101" if "RN101" in clip_model else None,
vqgan_model=vqgan_model,
seed_image=image_path,
image_file="progress.png",
frame_dir=intermediary_folder,
sub_model=sub_model,
how_many_fps=how_many_fps,
how_many_frames=how_many_frames,
generate_video=generate_video,
video_frame_folder=video_frame_folder,
CN_version=False,
CN_prompt=""
)
elif page == "[Coherent] CLIP Guided Diffusion":
args = argparse.Namespace(
prompt=user_input,
seed=int(seed),
iterations=num_steps,
update=update_every,
sizex=width,
sizey=height,
cutn=cutouts,
cutnbatches=cutout_batches,
cut_ic_pow=cut_ic_pow,
tvscale=tv_scale,
rangescale=range_scale,
guidancescale=guidance_scale,
saturationscale=sat_scale,
skipseedtimesteps=skipseedtimesteps,
usevit32="ViT-B/32" in clip_model,
usevit16="ViT-B/16" in clip_model,
usevit14="ViT-L/14" in clip_model,
usern50x4="RN50x4" in clip_model,
usern50x16="RN50x16" in clip_model,
usern50x64="RN50x64" in clip_model,
usern50="RN50" in clip_model,
usern101="RN101" in clip_model,
useslipbase=False,
usesliplarge=False,
use256=False,
denoised=False,
useaugs=use_augs,
secondarymodel=secondary_model,
clampmax=0.05,
dango=True,
# ddim=False,
sampling_mode=sampling_mode,
eta=eta,
image_file="progress.png",
init_image=None,
clip_model=clip_model,
image_prompts=[],
seed_image=image_path,
initscale=initscale,
frame_dir=intermediary_folder,
animation_mode="None",
max_frames=10000,
angle="0:(0)",
zoom="0: (1), 10: (1.05)",
translation_x="0: (0)",
translation_y="0: (0)",
translation_z="0: (10.0)",
rotation_3d_x="0: (0)",
rotation_3d_y="0: (0)",
rotation_3d_z="0: (0)",
midas_weight=0.3,
near_plane=200,
far_plane=10000,
fov=40,
frames_scale=1500,
frames_skip_steps="60%",
turbo_mode=False,
turbo_steps=3,
perlin_init=0,
perlin_mode="mixed",
sub_model=sub_model,
how_many_fps=how_many_fps,
how_many_frames=how_many_frames,
generate_video=generate_video,
video_frame_folder=video_frame_folder,
CN_version=False,
CN_prompt=""
)
try:
if (how_many_runs) > 1:
if batch_folder:
DefaultPaths.output_path = f"{DefaultPaths.output_path}/{batch_folder}"
intermediary_folder, video_frame_folder, update_every = intermediary_frame_setup(
args.seed)
for i in range(how_many_runs):
if how_many_runs > 1:
meta_status.write(
f"Running batch, {i+1} out of {how_many_runs}")
if i > 0:
if randomize_seed:
args.seed = random.randint(0, 2147483647)
intermediary_folder, video_frame_folder, update_every = intermediary_frame_setup(
args.seed)
args.frame_dir = intermediary_folder
run_internal(args, status, col_output2, gray_during_execution)
gc.collect()
torch.cuda.empty_cache()
except st.script_runner.StopException as e: