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Negative Prompt

#1
by Justin-Choo - opened
base: refs/heads/main
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from: refs/pr/1
Discussion Files changed
+954
-1861
Files changed (10) hide show
  1. .gitattributes +0 -3
  2. NEW.webp +0 -0
  3. README.md +6 -6
  4. all_models.py +0 -1094
  5. app.py +948 -163
  6. error.png +0 -3
  7. error_.png +0 -3
  8. externalmod.py +0 -585
  9. requirements.txt +0 -1
  10. style.css +0 -3
.gitattributes DELETED
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- error.png filter=lfs diff=lfs merge=lfs -text
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- jokeerror.png filter=lfs diff=lfs merge=lfs -text
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- error_.png filter=lfs diff=lfs merge=lfs -text
 
 
 
 
NEW.webp DELETED
Binary file (1.39 kB)
 
README.md CHANGED
@@ -1,13 +1,13 @@
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  ---
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- title: 2^X AI Art Models Toy World
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- emoji: 🪅🌐
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- colorFrom: green
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- colorTo: gray
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  sdk: gradio
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- sdk_version: 4.42.0
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  app_file: app.py
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  pinned: true
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- short_description: 1048 ones, 6 at a time!
11
  ---
12
 
13
  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
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+ title: 380 Models Fast Diffusion
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+ emoji: 👩‍🎨👨‍🎨
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+ colorFrom: grey
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+ colorTo: blue
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  sdk: gradio
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+ sdk_version: 3.15.0
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  app_file: app.py
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  pinned: true
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+ duplicated_from: Yntec/minimum_multiplier
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
all_models.py DELETED
@@ -1,1094 +0,0 @@
1
- models = [
2
- "Yntec/CremeCaramel", #1047
3
- "digiplay/AingDiffusion8.17",
4
- "Yntec/LeonardoDaVinci", #1046
5
- "digiplay/YutaMix_realistic_v11",
6
- "Yntec/C3", #1048
7
- "stabilityai/stable-diffusion-3.5-large", #940
8
- "Yntec/Red", #1022
9
- "digiplay/PerfectDeliberate-Anime_v2", #734
10
- "Yntec/Juggernaut", #1042
11
- "black-forest-labs/FLUX.1-dev",
12
- "Yntec/Legendary", #1042
13
- "digiplay/CamelliaMIx_2.5D_diffusers", #695
14
- "Yntec/Leonardo", #1040
15
- "digiplay/XXMix_9realistic_v1",
16
- "Yntec/RainbowPunk", #1039
17
- "digiplay/majicMIX_realistic_v5", #742
18
- "Yntec/Yiffyverse", #1033
19
- "digiplay/seizamix_v2", #706
20
- "Yntec/GrapeLikeDreamFruit", #1037
21
- "digiplay/MixTape_RocknRoll_v3punk_bake_fp16",
22
- "Yntec/80sMoviePoster", #1033
23
- "digiplay/COCOtiFaMix_v2", #732
24
- "Yntec/RunDiffusionFXPhotorealistic768", #1035
25
- "digiplay/majicMixHorror_v1", #738
26
- "Yntec/SolarPlexus", #1030
27
- "digiplay/Blazarot_blazaroshi", #729
28
- "Yntec/FlexCapacitor", #1026
29
- "stabilityai/stable-diffusion-3.5-large-turbo", #1029
30
- "Yntec/photoMovieC", #1032
31
- "digiplay/K-main_NEO", #731
32
- "Yntec/BeautyFoolRemix", #800
33
- "digiplay/endlessMixRenatus_v1.1", #Added 2023.07.10 updated 2024.05.30
34
- "Yntec/LexicaTestica", #1028
35
- "digiplay/Noosphere_v4.2", #737
36
- "Yntec/EstheticRetroAnime5", #1025
37
- "digiplay/fCAnimeMix_v5", #798
38
- "Yntec/RainbowRainbow", #1044
39
- "digiplay/aurorafantasy_v1", #717
40
- "Yntec/XanatosGambit", #1018
41
- "digiplay/Sweet-mix_v2.2_flat", #726
42
- "Yntec/SomethingBeautiful", #1014
43
- "digiplay/fantasticmix2.5D_v3.0", #1015
44
- "Yntec/aZovyaPhotorealUltra", #1020
45
- "digiplay/CoffeeMix_v2", #1017
46
- "Yntec/BeautifulArt", #1016
47
- "digiplay/AnyPastel", #752
48
- "Yntec/DisneyPixar", #1010
49
- "digiplay/CampurSari_Gen1",
50
- "Yntec/ElldrethSVividMix2", #1012
51
- "Guizmus/SDArt_something",
52
- "Yntec/SomethingRemix", #1011
53
- "digiplay/pan04", #725
54
- "Yntec/NijiverseComics", #1008
55
- "digiplay/RealismEngine_v1",
56
- "Yntec/WorksForMe", #1005
57
- "digiplay/ZemiHR_v2_diffusers",
58
- "Yntec/AgainstTheWorld", #1004
59
- "NoCrypt/SomethingV2_2",
60
- "Yntec/UniverseStableComics", #1006
61
- "digiplay/MeinaMix_v7",
62
- "Yntec/QueenOfFools", #1001
63
- "digiplay/Shadir_Diffusion_AR_v2.1_fp16_test1",
64
- "Yntec/Livin-Large", #1000
65
- "digiplay/CamelliaMIx_2.5D_v1_VAE", #696
66
- "Yntec/BeautyFoolReality", #1002
67
- "digiplay/realspice_v2", #702
68
- "Yntec/Plushie", #999
69
- "digiplay/2-KWI", #213 ##900
70
- "Yntec/DelicateModel", #998
71
- "digiplay/AgainMix_v2.0", #802
72
- "Yntec/Dedicated", #997
73
- "digiplay/xiaomeige_outlineColor_v10", #744
74
- "Yntec/VintageVintage", #996
75
- "digiplay/XtReMixUltimateMerge_v1.5", #710
76
- "Yntec/Vendetta", #995
77
- "digiplay/BeautifulFantasyRealMix_diffusers", #698
78
- "Yntec/DucHaitenAllInAnime", #997
79
- "digiplay/fCAnimeMix_v2", #716
80
- "Yntec/Imaginary", #993
81
- "digiplay/BreakDro_i1464", #719
82
- "Yntec/reaLPhotoGASM", #990
83
- "digiplay/Noosphere_v4", #723
84
- "Yntec/epiCPhotoGasmGetWhatYouPrompt", #992
85
- "digiplay/nk15_diffusers", #230
86
- "Yntec/TheDarkNight",
87
- "Sygil/Sygil-Diffusion", #994
88
- "Yntec/NES", #986
89
- "digiplay/HadrianDelice_DeliceV1", #772
90
- "Yntec/HollowEarth", #985
91
- "digiplay/calicomixreal_v2.0_diffusers",
92
- "Yntec/TangYuan", #988
93
- "digiplay/ARRealVX1.1",
94
- "Yntec/Kick-ass", #982
95
- "digiplay/MengX_Mix_Real_v3",
96
- "Yntec/GoldenFleece", #980
97
- "digiplay/fantastel_V1", #759
98
- "Yntec/Isabelia", #983
99
- "digiplay/LemonCreami", #762
100
- "Yntec/BelleOfTheBall", #977
101
- "digiplay/AM-mix1",
102
- "Yntec/IllustratorInk", #976
103
- "digiplay/WhiteDreamyHillMix_v1_VAE", #713
104
- "Yntec/Coquett", #979
105
- "digiplay/MRMD_0505", #769
106
- "Yntec/AnalogWorld", #973
107
- "digiplay/MeinaPastel_v1",
108
- "Yntec/FreshInk", #972
109
- "digiplay/7pa-VAE", #782
110
- "Yntec/AnyUnrealRemix", #970
111
- "digiplay/ValMix2-byHemlok", #755
112
- "Yntec/AnalogDiffusion", #975
113
- "digiplay/majicMIX_lux_v3", #708
114
- "Yntec/SilkH2", #969
115
- "digiplay/FishMix_v1",
116
- "Yntec/UnrealNiji", #967
117
- "digiplay/Opiate_v3", #968
118
- "Yntec/Bedtime", #966
119
- "digiplay/quincemix_v1",
120
- "Yntec/ShapeShifter", #965
121
- "digiplay/realidefmix_3.5VAE",
122
- "Yntec/Zoom", #962
123
- "digiplay/whatamix_v1",
124
- "Yntec/DreamShaper", #962
125
- "digiplay/LuckyStrikeMix1.05_Lovelylady",
126
- "Yntec/AnimeEIGHTIES", #959
127
- "digiplay/fantasticmix_v67",
128
- "Yntec/3rdComing", #956
129
- "digiplay/OrangeChillMix_v7fix",
130
- "Yntec/OpenDiffusion", #960
131
- "digiplay/fantexi_v0.9",
132
- "Yntec/Vector", #953
133
- "digiplay/fantasticAnime_diffusers",
134
- "Yntec/XenoGASM-MK2", #958
135
- "digiplay/HIJKLMix_v1", #957
136
- "Yntec/Veritas", #952
137
- "digiplay/OldFish_v1.1",
138
- "Yntec/HiFi", #949
139
- "digiplay/bluePencilRealistic_v05",
140
- "Yntec/Items", #955
141
- "digiplay/A80S_v1.0",
142
- "Yntec/Ghibli", #947
143
- "digiplay/VoidnoiseCore_R0829",
144
- "Yntec/VectorArtz", #950
145
- "digiplay/mothmix_v1.41", #720
146
- "Yntec/Aurantium", #946
147
- "digiplay/fantasticmix_v65_test",
148
- "Yntec/AnotherFineMess-SD2.1", #944
149
- "digiplay/NextPhoto_v1",
150
- "Yntec/SPYBGsToolkit", #948
151
- "digiplay/FormCleansingMix_v1", #228
152
- "Yntec/GhibliDiffusion", #945
153
- "digiplay/ya3_VAE",
154
- "Yntec/Lunatic", #942
155
- "artificialguybr/freedom", #938
156
- "Yntec/365", #939
157
- "digiplay/lutDiffusion_v09Beta",
158
- "Yntec/DarksideRemix", #936
159
- "digiplay/highQualityCGMIX_v1",
160
- "Yntec/AliveAndKicking", #935
161
- "digiplay/RunDiffusionFX2.5D_v1_diffusers",
162
- "Yntec/DucHaitenDarkside4",
163
- "digiplay/ChikMix_V3", #253
164
- "Yntec/XP3D", #935
165
- "digiplay/mecha_musume_vivid_soft",
166
- "Yntec/ReVive", #933
167
- "digiplay/VersaMix_base_diffusers",
168
- "Yntec/HarukaChibiArt", #932
169
- "digiplay/AingDiffusion8",
170
- "Yntec/Lexicon", #929
171
- "digiplay/YabaLMixTrue25D_V1.0", ##900
172
- "Yntec/JustForKicks", #925
173
- "digiplay/Sudachi_diffusers",
174
- "Yntec/RealTime", #924
175
- "digiplay/RealCartoon3D_v6",
176
- "Yntec/WesternCartoon", #935
177
- "digiplay/PolyMorphMix",
178
- "Yntec/f222", #930
179
- "digiplay/MGM",
180
- "Yntec/PopCorn", #923
181
- "digiplay/asyncsMIX_v5",
182
- "Yntec/OpenSkySLexicaAperture", #928
183
- "digiplay/Yuzu_v1.1", #688
184
- "Yntec/GrandPrix", #916
185
- "digiplay/snowpear_anime", #714
186
- "Yntec/NostalgicWorld", #919
187
- "digiplay/CoharuMix_real",
188
- "Yntec/IncredibleOdds", #915
189
- "digiplay/Photon_v1",
190
- "Yntec/Genesis", #911
191
- "digiplay/WolfSystems_v1",
192
- "Yntec/NextPhoton", #910
193
- "digiplay/AI-infinity-V1-fp16",
194
- "Yntec/LadyNostalgia", #909
195
- "digiplay/SomethingPhenomenal_vivacityV2", #735
196
- "Yntec/PicXReal", #922
197
- "digiplay/AbsoluteReality_v1.8.1",
198
- "Yntec/GameIcons3D", #921
199
- "digiplay/polla_mix_2.3D",
200
- "Yntec/Shiny3DCartoon", #914
201
- "digiplay/chrysanthemumMix_v1",
202
- "Yntec/darelitesFantasyMix", #908
203
- "digiplay/majicMIX_realistic_v1",
204
- "Yntec/handpaintedRPGIcons", #906
205
- "digiplay/HIJKLMix_v2",
206
- "Yntec/MemojiRemix", #905
207
- "digiplay/Koji_v2.1_diffusers",
208
- "Yntec/StaticMVintage", #903
209
- "digiplay/ZHMix-Dramatic-v3.0",
210
- "Yntec/animeFIVEHUNDREDTWENTY-SIX", #902
211
- "digiplay/Gap",
212
- "Yntec/3DCartoonVision", #901
213
- "digiplay/SXZ_Luma_v0.98VAE",
214
- "Yntec/TwoAndAHalfDimensions", #900
215
- "digiplay/EdisonNilMix_v1", # Added 7.10 Updated 12.5
216
- "Yntec/RadiantDiversions", #899
217
- "digiplay/MengX_Mix_Fantasy_v4", #689
218
- "Yntec/RetroRetro", #897
219
- "digiplay/PlanetBumix_v1",
220
- "Yntec/ClassicToons", #897
221
- "black-forest-labs/FLUX.1-schnell", #876
222
- "digiplay/OnlyReal-Black-Mix",
223
- "Yntec/Disneyify", #896
224
- "digiplay/supashymix_v30Lite", #701
225
- "Yntec/epiCEpic", #889
226
- "LostMedia/RetroDiffusion", #894
227
- "Yntec/QGO", #893
228
- "digiplay/BlueberryMix_v1", #912
229
- "Yntec/PixelKicks", #895
230
- "digiplay/fantasticmix_v7",
231
- "Yntec/VisionVision", #888
232
- "LostMedia/0-1982-1084-0065", #892
233
- "Yntec/m0nst3rfy3",
234
- "digiplay/fantasticmix2.5D_v4.0",
235
- "Yntec/photographerAlpha7", #891
236
- "digiplay/richyrichmix_V2Fp16", #707
237
- "Yntec/ChunkyCat", #880
238
- "digiplay/dosmixVAE-mangled", #804
239
- "Yntec/TickleYourFancy", #879
240
- "digiplay/fCAnimeMix_v4", #747
241
- "Yntec/realistic-vision-v13", #886
242
- "John6666/naclo74models-mih-entrance-sd15", #883
243
- "Yntec/ZootVision", #884
244
- "digiplay/HadrianDelice_BYC1.0", #728
245
- "Yntec/breakdomain", #882
246
- "digiplay/PerfectDeliberate-Anime_v1", #724
247
- "Yntec/CrystalClearRemix", ##4
248
- "digiplay/NightmareShaper_v2DarkageLobotomy",
249
- "Yntec/AllRoadsLeadToRetro", #877
250
- "digiplay/OldFish_v1.1_personal_HDmix",
251
- "Yntec/AnimephilesAnonymous", #875
252
- "digiplay/CCTV2.5d_v1", #219
253
- "Yntec/InsaneSurreality", #873
254
- "digiplay/bluePencil_v09b", #766
255
- "Yntec/WinningBlunder", #868
256
- "digiplay/Colorful_v1.3", #774
257
- "Yntec/DreamlikePhotoReal2", #872
258
- "digiplay/BeenYouLiteL11_diffusers",
259
- "Yntec/Surreality", #870
260
- "digiplay/xxgSl526_v1", ##400
261
- "Yntec/beLIEve", #865
262
- "digiplay/MilkyWonderland_v1", #866
263
- "Yntec/Hyperlink", #861
264
- "digiplay/AnalogMadness-realistic-model-v5", #864
265
- "Yntec/HyperRemix", #859
266
- "digiplay/CleanLinearMix",
267
- "Yntec/realisticStockPhoto3", #863
268
- "digiplay/fishmix_other_v1",
269
- "Yntec/HyperPhotoGASM", #858
270
- "digiplay/XRYCJ_RealisticModel",
271
- "Yntec/CrystalReality", #855
272
- "John6666/meinamix-meinav11-sd15", #857
273
- "Yntec/Roleplay", #850
274
- "digiplay/ya3p_VAE", #258
275
- "Yntec/ICantBelieveItSNotPhotography", #856
276
- "digiplay/ya3_xt", #711
277
- "Yntec/Neurogen", #854
278
- "John6666/am-i-real-v45-sd15", #852
279
- "Yntec/lnkdn", #851
280
- "digiplay/ShadowGost_v1",
281
- "Yntec/ArtisticVision", #845
282
- "digiplay/DetailAsianRealistic_v2.5_hinablue", #849
283
- "Yntec/Chip_n_DallE", #844
284
- "digiplay/rRealism_v1.0_riiwa", #848
285
- "Yntec/ClayStyle", #838
286
- "digiplay/TWingshadow_v1.0", #847
287
- "Yntec/HassanRemix",
288
- "digiplay/TWingshadow_v1.0_finetune", #846
289
- "Yntec/Reddit",
290
- "digiplay/V3_by_Hans_Asian",
291
- "Yntec/CinematicReality",
292
- "digiplay/Maji5PlusCCTV", #843
293
- "Yntec/3DKX2",
294
- "digiplay/cosfMix_v1", #223
295
- "Yntec/Epsilon_Naught", #831
296
- "digiplay/LusterMix_v1.5_safetensors", #256
297
- "Yntec/TrueSight", #841
298
- "digiplay/XtReMixUltimateMerge_v1.8", #840
299
- "Yntec/epiCDream", #839
300
- "digiplay/counterfeitV2525d_tweak",
301
- "Yntec/Ponygraphy", #827
302
- "digiplay/m3u", #263
303
- "Yntec/DucHaitenGODofSIMP", #836
304
- "digiplay/STRANGER-ANIME", #835
305
- "Yntec/ElldrethSDaydreamMix", #834
306
- "digiplay/DonutHoleMix_Beta", #832
307
- "Yntec/DramaLlama", #820
308
- "digiplay/STRANGER", #816
309
- "Yntec/RevAnimatedV2Rebirth", #829
310
- "digiplay/KawaiiRealisticAsian_v0.7", #828
311
- "Yntec/ZootVisionEpsilon", #817
312
- "digiplay/AsianBrmBeautyrealmix_v2.0", #826
313
- "Yntec/BetterPonyDiffusion", #825
314
- "digiplay/Realisian_v6", #824
315
- "Yntec/SCMIX_NightSkyMeina", #823
316
- "digiplay/chosen-Mix", #821
317
- "Yntec/ZooFun", #815
318
- "digiplay/OnlyRealistic_v29", #819
319
- "Yntec/Wonder", #812
320
- "digiplay/2K-VAE",
321
- "Yntec/WaifuDiffusion", #822
322
- "digiplay/Cetus-Mix-Codaedition_diffusers", #813
323
- "Yntec/TheWonderMix", #814
324
- "digiplay/HenmixArt_v1",
325
- "Yntec/MostClassical", #810
326
- "digiplay/m0nst3rfy3-testfix", #811
327
- "Yntec/DreamlikeShaper", #806
328
- "Ojimi/anime-kawai-diffusion",
329
- "Yntec/DreamShaperRemix", #2K
330
- "digiplay/MilkyWonderland_v2", #808
331
- "Yntec/DigitalSoul", #807
332
- "digiplay/incursiosMemeDiffusion_v1.6",
333
- "Yntec/ProjectKawai", #809
334
- "digiplay/CamelliaMix_NSFW_diffusers_v1.1", #837
335
- "Yntec/AbsoluteReality", #15K
336
- "digiplay/PikasAnimatedMix_v1", #805
337
- "Yntec/Shift", #1024
338
- "digiplay/yiSMix2.8D_v1", ##600
339
- "Yntec/DisneyPixarCartoon768", #803
340
- "digiplay/AstrAnime_v6", #698
341
- "Yntec/mistoonRuby3", #801
342
- "digiplay/OldFish_v1.1mix_hello",
343
- "Yntec/AtoZ", #799
344
- "digiplay/fantasticmix_k1", #797
345
- "Yntec/FilmGirlRemix", #795
346
- "digiplay/hellopure_v2.23", ##1K
347
- "Yntec/Vintage", #794
348
- "digiplay/BeautyFoolReality_4", #796
349
- "Yntec/UltraHighDefinition", #791
350
- "digiplay/NextGenMix_R2.8VAE",
351
- "Yntec/XenoGASM", #793
352
- "digiplay/DarkSushi2.5D_v1", #792
353
- "Yntec/DegreesOfFreedom", #790
354
- "digiplay/Perfect_Gap_Blend_v1",
355
- "Yntec/ChickFlick", #787
356
- "digiplay/fCAnimeMix_v3", #786
357
- "Yntec/Film", #784
358
- "digiplay/BeautifulArt_v1", #785
359
- "Yntec/AnythingV7", #779
360
- "digiplay/BadAnime_v1",
361
- "Yntec/LEOSAMsFilmGirlUltra", #783
362
- "digiplay/AbsoluteReality_v1.0_diffusers",
363
- "Yntec/ArthemyComics", #781
364
- "digiplay/Hassaku_1.3", #830
365
- "Yntec/ReVAnimatedRemix", #780
366
- "digiplay/majicMIXfantasy_v1", ##700
367
- "Yntec/AnythingNostalgic", #775
368
- "digiplay/AingDiffusion9.2",
369
- "Yntec/AnyLoRa-768", #778
370
- "digiplay/CuriousMerge2.5D_v40E", #771
371
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372
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373
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374
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375
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376
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377
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378
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379
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380
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381
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382
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383
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384
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385
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386
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387
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388
- "digiplay/majicMIX_realistic_v7", #761
389
- "Yntec/ElldrethsRetroMix", #4K
390
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391
- "Yntec/Luxury", #750
392
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393
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394
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395
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396
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397
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398
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399
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400
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401
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402
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403
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404
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405
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406
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407
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408
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409
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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424
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425
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426
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427
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428
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429
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430
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431
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432
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433
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434
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435
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436
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437
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438
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439
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440
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441
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442
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443
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444
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445
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446
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447
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448
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449
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
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472
- "John6666/cookie-run-character-style-v1-sd15-lora", #853
473
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474
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475
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476
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477
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478
- "Yntec/incha_re_zoro",
479
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480
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481
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482
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483
- "Yntec/Cryptids",
484
- "Yntec/Tantrum",
485
- "Yntec/CutesyAnime",
486
- "Yntec/HellSKitchen",
487
- "Yntec/Kitsch-In-Sync",
488
- "Yntec/La-dee-dah-.-_",
489
- "Yntec/HELLmix",
490
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491
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492
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493
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494
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495
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496
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497
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498
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499
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500
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501
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502
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503
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504
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505
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506
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507
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508
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509
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510
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511
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512
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513
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514
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515
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516
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517
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518
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519
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
- "Yntec/elldrethsImagination", #2K
570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
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661
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
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677
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678
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679
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680
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681
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682
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683
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684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
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700
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701
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702
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703
- "digiplay/2K", #216
704
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705
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706
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707
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708
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709
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710
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711
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712
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713
-
714
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715
- "digiplay/NextPhoto_v3", #1041
716
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717
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718
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719
- "digiplay/kencanmix_v1.6", #1027
720
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721
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722
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723
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724
- "digiplay/EtherRealMix_1", #1009
725
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726
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727
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728
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729
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730
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731
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732
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733
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734
- "digiplay/Fish_2343GBH", #982
735
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736
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737
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738
- "digiplay/SDVN1-Real_origin", #961
739
- "digiplay/polla_mix_2.4D", #964
740
- "digiplay/OldFish_fix1.1.997_diffusers", #971
741
- "digiplay/helloFlatAnime_v1", #954
742
- "digiplay/hellopure_v2.24Beta", #943
743
- "digiplay/Realisian_v4", #941
744
- "digiplay/Realisian_v5", #937
745
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746
- "digiplay/chilled_remix_v1vae.safetensors", #931
747
- "digiplay/Pika_v1", #927
748
- "digiplay/PrefixFantasyMix_v1", #926
749
- "digiplay/SoapMix2.5D_v2", #921
750
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751
- "digiplay/CoffeeMix_v1", #913
752
- "digiplay/PerfectDeliberate_v5", #904
753
- "digiplay/majicMIX_sombre_v2", #900
754
- "digiplay/majicMIX_sombre_v1", #899
755
- "digiplay/GhostMix", #899
756
- "digiplay/CiderMix_ciderR", #898
757
- "digiplay/MeinaPastel_v3", #896
758
- "digiplay/quincemix_v2", #896
759
- "digiplay/chilled_remixb_v1vae.safetensors", #887
760
- "digiplay/PerfectDeliberate_v4", #885
761
- "digiplay/K-main2.1", #881
762
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763
- "digiplay/realdosmix_diffusers", #873
764
- "digiplay/fantasticmix2.5D_test", #871
765
- "John6666/juggernaut-reborn-sd15", #860
766
- "digiplay/AnalogMadness-realistic-model-v6", #862
767
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768
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769
- "Hius/DreamFul-V2",
770
- "lambdalabs/sd-naruto-diffusers", #201
771
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772
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773
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774
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775
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776
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777
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778
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779
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780
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781
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782
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783
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784
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785
- "Masagin/Deliberate", #235
786
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787
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788
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789
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790
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791
- "SG161222/Realistic_Vision_V1.4",
792
- "digiplay/paulEberSRealismMix_v1",
793
-
794
- "LottePeisch/RevAnimated-Diffusers", #833
795
- "hassanblend/hassanblend1.4",
796
- "digiplay/zodiac_eclipse_DAY1",
797
- "claudfuen/photorealistic-fuen-v1",
798
- "stablediffusionapi/chillout-app-factory",
799
- "DucHaiten/DucHaitenJourney",
800
- "robotjung/SemiRealMix",
801
- "Joeythemonster/anything-midjourney-v-4-1",
802
- "prompthero/midjourney-v4-diffusion",
803
- "prompthero/openjourney-v4",
804
- "x67/shortjourney",
805
- "FredZhang7/paint-journey-v2",
806
- "digiplay/PersonaStyleCheckpoint",
807
- "darkstorm2150/Protogen_Infinity_Official_Release",
808
- "PeggyWang/openjourney-v2",
809
- "darkstorm2150/Protogen_x3.4_Official_Release",
810
- "stablediffusionapi/deliberateappfactory", #236
811
- "digiplay/CrossoverMix_v2",
812
- "stablediffusionapi/spybg",
813
- "stablediffusionapi/dreamshaper-v6", #239
814
- "stablediffusionapi/the-ally",
815
- "darkstorm2150/Protogen_x5.8_Official_Release",
816
- "coreco/seek.art_MEGA",
817
- "digiplay/BlankCanvas_v1", #07.11
818
- "digiplay/OnlyAnime_v2.3",
819
- "Korakoe/OpenNiji",
820
- "digiplay/Pika_v2",
821
- "digiplay/RealCartoon3D_F16full_v3.1", #254
822
- "digiplay/realmixUnrealjourney_v1",
823
- "digiplay/SyncMix_v1.5",
824
- "stablediffusionapi/chilledremixsazyou-r", #195
825
- "digiplay/TWingshadow_v1.2",
826
-
827
- "digiplay/AIGEN_v1.4_diffusers",
828
- "digiplay/BrickAndMortarMix_v2.0_diffusers", #224
829
- "digiplay/BeautyFool_v1.2VAE_pruned",
830
- "digiplay/breakdomainrealistic_R2333",
831
- "digiplay/CityEdge_StyleMix_v1.44",
832
- "stablediffusionapi/dalcefopainting2", #199
833
- "digiplay/DiamondCoalMix_v2_pruned_diffusers",
834
- "digiplay/DreamShaper_7", #259
835
- "digiplay/elegantEntropy_v1.1", #221
836
- "digiplay/KawaiiRealisticAnimeMix_A0.3",
837
- "digiplay/HIMAWARI_v1",
838
- "digiplay/Hodgepodge_v2.1", #217
839
- "digiplay/illustro1stEdition_illustroV1", #214
840
- "digiplay/Juggernaut_final", #07.11
841
- "digiplay/Landscape_PhotoReal_v1",
842
- "digiplay/LuckyStrikeMix0.2Realistic", #07.10
843
- "digiplay/Matrix_Stellar_VAE_v1",
844
- "digiplay/PrefixRealisticMix_v1",
845
- "digiplay/RealEpicMajicRevolution_v1", #07.11
846
- "digiplay/ShampooMix_4", #252
847
- "digiplay/ShowmakerMix_v1",
848
- "digiplay/SoapMix2.5D_v1",
849
-
850
- "Redamancy2299/dreambooth",
851
- "Lykon/DreamShaper", #240
852
- "trysem/DreamShaper-3.3",
853
- "HusseinHE/hussein-deliberate-1000steps", #237
854
- "stablediffusionapi/majicmixfantasy",
855
- "stablediffusionapi/majicmixsombre", #247
856
- "wavymulder/modelshoot",
857
- "digiplay/ChillyMix_v1", #215
858
- "stablediffusionapi/foto-assisted-diffusion", #197
859
- "wavymulder/portraitplus",
860
- "stablediffusionapi/chilloutmix-4264",
861
- "stablediffusionapi/product-design", #194
862
- "kandinsky-community/kandinsky-2-1", #251
863
-
864
- "digiplay/2.5DSET_diffusers", #227
865
- "digiplay/alstroemeriaMix_v1",
866
- "wavymulder/Analog-Diffusion",
867
- "digiplay/AniRealityMix_v1", #257
868
- "digiplay/BasilKorea_v2", #07.11
869
- "digiplay/bluePencilRealistic_v01",
870
- "digiplay/bra_v40_diffusers",
871
- "digiplay/Burger_Mix_semiR2Lite", #222
872
- "digiplay/cocotifacute_v1", #07.10
873
- "digiplay/CounterMix_v2", #211
874
- "digiplay/CuriousMerge2.5D_v5",
875
- "digiplay/dosmix",
876
- "digiplay/epi_2.5Dphotogodess_diffusers",
877
- "stablediffusionapi/droodlyrielv15",
878
- "digiplay/fantexi_v0.7",
879
- "digiplay/FumizukiMix_v1",
880
- "digiplay/helloworld_v3",
881
- "digiplay/JF-Cu_v1",
882
- "digiplay/kencanmix_v2.0beta",
883
- "wavymulder/lomo-diffusion",
884
- "stablediffusionapi/majicmixv5", #192
885
- "digiplay/MiracleMixGlitter_v1",
886
- "digiplay/Noosphere_v3",
887
- "digiplay/PeachMixsRelistic_R0", #262
888
- "wavymulder/timeless-diffusion",
889
-
890
- "DucHaiten/DucHaitenAnime",
891
- "DucHaiten/DucHaitenAIart",
892
- "Manseo/Colorful-v4.5-Plus", #244
893
- "Guizmus/SDArt_ChaosAndOrder",
894
- "DucHaiten/DH_ClassicAnime",
895
- "stablediffusionapi/disneypixar",
896
- "johnslegers/epic-diffusion-v1.1",
897
- "emilianJR/epiCRealism",
898
- "johnslegers/epic-diffusion",
899
- "stablediffusionapi/ghostmix",
900
- "Duskfallcrew/EpicMix_Realism",
901
- "nitrosocke/Nitro-Diffusion",
902
- "prompthero/openjourney",
903
- "DucHaiten/DucHaiten-StyleLikeMe",
904
- "ddPn08/subtly", #250
905
- "22h/vintedois-diffusion-v0-1",
906
-
907
- "circulus/sd-anireal-v2.7",
908
- "0xJustin/Dungeons-and-Diffusion",
909
- "darkstorm2150/Protogen_v2.2_Official_Release",
910
- "Guizmus/SDArt_AliceInDiffusionLand",
911
- "stablediffusionapi/realistic-vision-v20-2047",
912
- "redstonehero/RPG-v5-itr17_A10T",
913
-
914
- "stablediffusionapi/camelliamix25d",
915
- "Guizmus/SDArt_cosmichorrors",
916
- "DGSpitzer/DGSpitzer-Art-Diffusion",
917
- "stablediffusionapi/emotion-puppeteer-v2",
918
- "stablediffusionapi/fengjing",
919
- "stablediffusionapi/fuwafuwamix",
920
- "Fred99774/girlnew1",
921
- "stablediffusionapi/majicmixrealistic",
922
- "ItsJayQz/SynthwavePunk-v2",
923
- "zhyemmmm/ToonYou",
924
- "stablediffusionapi/uber-realistic-merge",
925
- "stablediffusionapi/vne732h9dh4",
926
- "stablediffusionapi/wand-magic2",
927
- "stablediffusionapi/waifu-journey-2",
928
- "stablediffusionapi/zovya",
929
-
930
- "Guizmus/SDArt_cosmichorrors768",
931
- "stablediffusionapi/counterfeit-v30",
932
- "stablediffusionapi/amireal",
933
- #"JamesFlare/pastel-mix", #"andite/pastel-mix",
934
- "stablediffusionapi/rev-anim",
935
- "aipicasso/picasso-diffusion-1-1",
936
- "xiaolxl/Gf_style2",
937
- "circulus/sd-semireal-v2.8",
938
- "Crosstyan/BPModel", #07.11
939
-
940
- "digiplay/Dusk-1",
941
- "ogkalu/Comic-Diffusion",
942
- "Guizmus/SDArt_ChaosAndOrder768",
943
- "gsdf/Counterfeit-V2.0",
944
- ##"dwancin/memoji", #07.11
945
- "nousr/robo-diffusion-2-base",
946
-
947
- ##"hakurei/waifu-diffusion",
948
- "WarriorMama777/AbyssOrangeMix2",
949
- "stablediffusionapi/abyssorangemix2nsfw", #200
950
- ##"cag/anything-v3-1",
951
- "iZELX1/Anything-V3-X",
952
- "xyn-ai/anything-v4.0", #"andite/anything-v4.0",
953
- #"D1b4l4p/AsianMix",
954
- #"Fred99774/chilloutvlara",
955
- "aipicasso/cool-japan-diffusion-2-1-2",
956
- "stablediffusionapi/corneos-7th-heaven-m", #196
957
- "DGSpitzer/Cyberpunk-Anime-Diffusion",
958
- "stablediffusionapi/dark-sushi-mix",
959
- "joachimsallstrom/Double-Exposure-Diffusion",
960
- "eimiss/EimisAnimeDiffusion_1.0v",
961
- #"prompthero/funko-diffusion",
962
- "nitrosocke/Ghibli-Diffusion",
963
- ###"iZELX1/Grapefruit",
964
- "xiaolxl/GuoFeng3",
965
- "stablediffusionapi/tmnd-mix",
966
- "coder119/Vectorartz_Diffusion", #203
967
-
968
- "WarriorMama777/AbyssOrangeMix",
969
- "AIARTCHAN/7pa",
970
- "JosephusCheung/ACertainModel",
971
- "JosephusCheung/ACertainThing",
972
- "JosephusCheung/ACertainty",
973
- "AIARTCHAN/AbyssHellVer3",
974
- "AIARTCHAN/AbyssMapleVer3",
975
- "stablediffusionapi/abyssorangemixsfw",
976
- "AIARTCHAN/anidosmixV2",
977
- "stablediffusionapi/anime-model-v2",
978
- "kubanemil/AnyLORA",
979
- "stablediffusionapi/hc-anything-v3-vae", #231
980
- "mm00/anything-v3.0-light",
981
- "stablediffusionapi/anythingelse-v4",
982
- "stablediffusionapi/anything-v45-fixed",
983
- "stablediffusionapi/anything-v5",
984
- "nitrosocke/Arcane-Diffusion",
985
- "nitrosocke/archer-diffusion",
986
- "stablediffusionapi/architecture-tuned-model",
987
- "WarriorMama777/BloodOrangeMix",
988
- "wavymulder/collage-diffusion",
989
- "stablediffusionapi/camelliamixline",
990
- "Johnhex/Clam", #243
991
- "stablediffusionapi/cosmic-babes",
992
- "digiplay/CoffeeDonut_v1",
993
- "stablediffusionapi/dark-sushi-25d",
994
- "digiplay/Defacta_v1_diffusers", #226
995
- ## "WarriorMama777/EerieOrangeMix",
996
- "digiplay/DuelAnimeMix_v1", #225
997
- "Envvi/Inkpunk-Diffusion",
998
- "digiplay/kotosmix_diffusers", #229
999
- "stablediffusionapi/meinaalter",
1000
- "Nacholmo/meinamixv7-diffusers",
1001
- "stablediffusionapi/meinapastel",
1002
- "AIARTCHAN/MIX-Pro-V4",
1003
- "stablediffusionapi/shirataki-mix", #191
1004
- "NoCrypt/SomethingV2",
1005
- ## "stablediffusionapi/three-delicacy",
1006
- ## "stablediffusionapi/three-delicacy-wonto",
1007
- "etherealxx/systemy-csrmodel-cutesexyrobutts", #"andite/cutesexyrobutts-diffusion",
1008
- "sd-dreambooth-library/true-guweiz-style", # "andite/guweiz-diffusion",
1009
- "digiplay/xxMix_4",
1010
- ###"mio/hiten", #"andite/hiten-diffusion",
1011
- ### "andite/mashuu-diffusion",
1012
- ### "andite/mignon-diffusion",
1013
- ### "andite/mikapikazo-diffusion",
1014
- ### "andite/piromizu-diffusion",
1015
- "digiplay/Zevinemix_v1.0/",
1016
-
1017
- "digiplay/AnaMix_v2", #07.11
1018
- "stablediffusionapi/animetestmodelv3",
1019
- "yulet1de/anything", #232
1020
- "hakurei/artstation-diffusion", #07.11
1021
- "Fictiverse/Stable_Diffusion_BalloonArt_Model",
1022
- "stablediffusionapi/bg-dream-irl",
1023
- "stablediffusionapi/bg-dream-model-b", #193
1024
- "Rardilit/Ciffusion_v0.1",
1025
- "circulus/sd-anireal-2d-v2",
1026
- "circulus/sd-photoreal-v2.7",
1027
- "circulus/sd-photoreal-photo-v2",
1028
- "circulus/sd-anireal-2.5d-v2",
1029
- "circulus/sd-anireal-v2.5",
1030
- "circulus/sd-photoreal-semi-v2",
1031
- "circulus/sd-photoreal-real-v2",
1032
- "circulus/sd-photoreal-v2.5",
1033
- "circulus/sd-anireal-3d-v2",
1034
- "circulus/sd-anireal-v2.8",
1035
- "nitrosocke/classic-anim-diffusion",
1036
- "Conflictx/Complex-Lineart", #245
1037
- "justinpinkney/pokemon-stable-diffusion",
1038
- "nitrosocke/elden-ring-diffusion",
1039
- "digiplay/EtherBluMix_1", #07.11
1040
- "digiplay/fantasticmix_v40_test", #261
1041
- "theintuitiveye/FantasyMix",
1042
- "Fictiverse/Stable_Diffusion_FluidArt_Model",
1043
- "nitrosocke/Future-Diffusion",
1044
- "ItsJayQz/GTA5_Artwork_Diffusion", #205
1045
- "TheLastBen/hrrzg-style-768px", #246
1046
- "nevernotsean/IllustratedPaperMini", #242
1047
- "dallinmackay/JWST-Deep-Space-diffusion",
1048
- #"prompthero/linkedin-diffusion",
1049
- "mann-e/mann-e_4_rev-0-1", #210
1050
- "ItsJayQz/Marvel_WhatIf_Diffusion", #206
1051
- "yuanbit/max-15-1e-6-1500",
1052
- "MyneFactory/MF-Base", #248
1053
- "Fictiverse/Stable_Diffusion_Microscopic_model", #249
1054
- "nitrosocke/mo-di-diffusion",
1055
- "luongphamit/NeverEnding-Dream2", #241
1056
- "Vernon-2/output_test",
1057
- "Fictiverse/Stable_Diffusion_PaperCut_Model",
1058
- "bsuutari/path_to_saved_model",
1059
- "bsuutari/path_to_saved_model_rafa",
1060
- "lambdalabs/sd-pokemon-diffusers", #202
1061
- "prompthero/poolsuite-diffusion",
1062
- "nitrosocke/redshift-diffusion",
1063
- "nitrosocke/redshift-diffusion-768",
1064
- "nousr/robo-diffusion",
1065
- "digiplay/SDVN1-Real_v1", #255
1066
- "nitrosocke/spider-verse-diffusion",
1067
- #"runwayml/stable-diffusion-v1-5",
1068
- "nicky007/stable-diffusion-logo-fine-tuned",
1069
- "stablediffusionapi/three-delicacy", #233
1070
- "stablediffusionapi/three-delicacy-wonto", #234
1071
- "naclbit/trinart_stable_diffusion_v2",
1072
- "dallinmackay/Tron-Legacy-diffusion",
1073
- "digiplay/unstableDiffusersYamerMIX_v3",
1074
- "dallinmackay/Van-Gogh-diffusion",
1075
- "ItsJayQz/Valorant_Diffusion",
1076
- "Fictiverse/Stable_Diffusion_VoxelArt_Model", #204
1077
- "wavymulder/wavyfusion",
1078
- "CompVis/stable-diffusion-v1-4", #530
1079
- "CompVis/stable-diffusion-v1-3", #207
1080
- "CompVis/stable-diffusion-v1-2", #208
1081
- "CompVis/stable-diffusion-v1-1", #209
1082
- ]
1083
-
1084
- #from externalmod import find_model_list
1085
-
1086
- #models = find_model_list("Yntec", [], "", "last_modified", 20)
1087
-
1088
- # Examples:
1089
- #models = ['yodayo-ai/kivotos-xl-2.0', 'yodayo-ai/holodayo-xl-2.1'] # specific models
1090
- #models = find_model_list("Yntec", [], "", "last_modified", 20) # Yntec's latest 20 models
1091
- #models = find_model_list("Yntec", ["anime"], "", "last_modified", 20) # Yntec's latest 20 models with 'anime' tag
1092
- #models = find_model_list("Yntec", [], "anime", "last_modified", 20) # Yntec's latest 20 models without 'anime' tag
1093
- #models = find_model_list("", [], "", "last_modified", 20) # latest 20 text-to-image models of huggingface
1094
- #models = find_model_list("", [], "", "downloads", 20) # monthly most downloaded 20 text-to-image models of huggingface
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
app.py CHANGED
@@ -1,177 +1,962 @@
1
  import gradio as gr
2
- from random import randint
3
- from all_models import models
4
-
5
- from externalmod import gr_Interface_load
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
 
7
- import asyncio
8
- import os
9
- from threading import RLock
10
- lock = RLock()
11
- HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
 
 
 
 
 
 
13
 
14
- def load_fn(models):
15
- global models_load
16
- models_load = {}
 
 
 
 
 
 
 
 
 
 
 
 
 
17
 
18
- for model in models:
19
- if model not in models_load.keys():
20
- try:
21
- m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
22
- except Exception as error:
23
- print(error)
24
- m = gr.Interface(lambda: None, ['text'], ['image'])
25
- models_load.update({model: m})
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
27
 
28
- load_fn(models)
29
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
 
31
- num_models = 6
32
- MAX_SEED = 3999999999
33
- default_models = models[:num_models]
34
- inference_timeout = 600
35
- starting_seed = randint(1941, 2024)
 
 
 
 
 
36
 
37
- def extend_choices(choices):
38
- return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
 
 
 
 
 
 
 
 
39
 
 
 
 
 
 
 
 
 
 
 
40
 
41
- def update_imgbox(choices):
42
- choices_plus = extend_choices(choices[:num_models])
43
- return [gr.Image(None, label=m, visible=(m!='NA')) for m in choices_plus]
44
-
45
- def gen_fn(model_str, prompt):
46
- if model_str == 'NA':
47
- return None
48
- noise = str('') #str(randint(0, 99999999999))
49
- return models_load[model_str](f'{prompt} {noise}')
50
-
51
- async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
52
- from pathlib import Path
53
- kwargs = {}
54
- noise = ""
55
- kwargs["seed"] = seed
56
- task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn,
57
- prompt=f'{prompt} {noise}', **kwargs))
58
- await asyncio.sleep(0)
59
- try:
60
- result = await asyncio.wait_for(task, timeout=timeout)
61
- except (Exception, asyncio.TimeoutError) as e:
62
- print(e)
63
- print(f"Task timed out: {model_str}")
64
- if not task.done(): task.cancel()
65
- result = None
66
- if task.done() and result is not None:
67
- with lock:
68
- png_path = "image.png"
69
- result.save(png_path)
70
- image = str(Path(png_path).resolve())
71
- return image
72
- return None
73
-
74
- def gen_fnseed(model_str, prompt, seed=1):
75
- if model_str == 'NA':
76
- return None
77
- try:
78
- loop = asyncio.new_event_loop()
79
- result = loop.run_until_complete(infer(model_str, prompt, seed, inference_timeout))
80
- except (Exception, asyncio.CancelledError) as e:
81
- print(e)
82
- print(f"Task aborted: {model_str}")
83
- result = None
84
- with lock:
85
- image = "https://huggingface.co/spaces/Yntec/ToyWorld/resolve/main/error.png"
86
- result = image
87
- finally:
88
- loop.close()
89
- return result
90
-
91
- css="""
92
- .wrapper img {font-size: 98% !important; white-space: nowrap !important; text-align: center !important;
93
- display: inline-block !important;}
94
- """
95
-
96
- with gr.Blocks(css=css) as demo:
97
-
98
- with gr.Tab('Toy World'):
99
- txt_input = gr.Textbox(label='Your prompt:', lines=4)
100
- gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
101
- #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
102
- gen_button.click(lambda s: gr.update(interactive = True), None)
103
- gr.HTML(
104
- """
105
- <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
106
- <div>
107
- <body>
108
- <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
109
- </div>
110
- </body>
111
- </div>
112
- </div>
113
- """
114
- )
115
- with gr.Row():
116
- output = [gr.Image(label = m, min_width=480) for m in default_models]
117
- current_models = [gr.Textbox(m, visible = False) for m in default_models]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118
 
119
- for m, o in zip(current_models, output):
120
- gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn,
121
- inputs=[m, txt_input], outputs=[o], concurrency_limit=None, queue=False)
122
- #stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
123
- with gr.Accordion('Model selection'):
124
- model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', value=default_models, interactive=True)
125
- #model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 2 available! Untick them to only use one!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
126
- model_choice.change(update_imgbox, model_choice, output)
127
- model_choice.change(extend_choices, model_choice, current_models)
128
- with gr.Row():
129
- gr.HTML(
130
- """
131
- <div class="footer">
132
- <p> Based on the <a href="https://huggingface.co/spaces/John6666/hfd_test_nostopbutton">Huggingface NoStopButton</a> Space by John6666, <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier! For 6 images with the same model check out the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>, for the classic UI with prompt enhancer try <a href="https://huggingface.co/spaces/Yntec/blitz_diffusion">Blitz Diffusion!</a>
133
- </p>
134
- """
135
- )
136
- with gr.Tab('🌱 Use seeds!'):
137
- txt_inputseed = gr.Textbox(label='Your prompt:', lines=4)
138
- gen_buttonseed = gr.Button('Generate up to 6 images with the same seed in up to 3 minutes total')
139
- seed = gr.Slider(label="Use a seed to replicate the same image later (maximum 3999999999)", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed, scale=3)
140
- #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
141
- gen_buttonseed.click(lambda s: gr.update(interactive = True), None)
142
- gr.HTML(
143
- """
144
- <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
145
- <div>
146
- <body>
147
- <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
148
- </div>
149
- </body>
150
- </div>
151
- </div>
152
- """
153
- )
154
- with gr.Row():
155
- output = [gr.Image(label = m, min_width=480) for m in default_models]
156
- current_models = [gr.Textbox(m, visible = False) for m in default_models]
157
 
158
- for m, o in zip(current_models, output):
159
- gen_eventseed = gr.on(triggers=[gen_buttonseed.click, txt_inputseed.submit], fn=gen_fnseed,
160
- inputs=[m, txt_inputseed, seed], outputs=[o], concurrency_limit=None, queue=False)
161
- #stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
162
- with gr.Accordion('Model selection'):
163
- model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', value=default_models, interactive=True)
164
- #model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 2 available! Untick them to only use one!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
165
- model_choice.change(update_imgbox, model_choice, output)
166
- model_choice.change(extend_choices, model_choice, current_models)
167
- with gr.Row():
168
- gr.HTML(
169
- """
170
- <div class="footer">
171
- <p> Based on the <a href="https://huggingface.co/spaces/John6666/hfd_test_nostopbutton">Huggingface NoStopButton</a> Space by John6666, <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier! For 6 images with the same model check out the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>, for the classic UI with prompt enhancer try <a href="https://huggingface.co/spaces/Yntec/blitz_diffusion">Blitz Diffusion!</a>
172
- </p>
173
- """
174
- )
175
-
176
- demo.queue(default_concurrency_limit=200, max_size=200)
177
- demo.launch(show_api=False, max_threads=400)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  import gradio as gr
2
+ import os
3
+ import sys
4
+ from pathlib import Path
5
+
6
+ models = [
7
+ "Yntec/CartoonStyleClassic",
8
+ "Yntec/CultClassic",
9
+ "Yntec/photoMovieX",
10
+ "Yntec/photoMovieRealistic",
11
+ "Yntec/CinematicReality",
12
+ "Yntec/CinemaE",
13
+ "Yntec/GalenaVAE",
14
+ "Yntec/a-ZovyaRemix",
15
+ "Yntec/a-ZovyaRPGV3VAE",
16
+ "Yntec/a-ZoviaRPGArtistV2VAE",
17
+ "Yntec/GameAssetsDigitalUnitsCreationKit",
18
+ "Yntec/InsaneRealisticCVAE",
19
+ "Yntec/Lunar",
20
+ "Yntec/LunarLuma",
21
+ "Yntec/QToriReloaded",
22
+ "Yntec/Chik2",
23
+ "Yntec/InsaneM3U",
24
+ "Yntec/DucHaiten-StyleLikeMeVAE",
25
+ "Yntec/CuteYuki2",
26
+ "Yntec/Luma",
27
+ "Yntec/Noosphere_v3_CVAE",
28
+ "Yntec/RealRainbows",
29
+ "Yntec/Ninja-Diffusers",
30
+ "Yntec/ChildrenStoriesAnime",
31
+ "Yntec/theallysMixIV-verisimilar",
32
+ "Yntec/DucHaitenAnime768",
33
+ "Yntec/RainbowClassicAnime",
34
+ "Yntec/DucHaitenClassicAnime768",
35
+ "Yntec/WesternAnimation",
36
+ "Yntec/GOLDFish",
37
+ "Yntec/NeverExisted",
38
+ "Yntec/Rainbowsphere",
39
+ "Yntec/DreamAnything",
40
+ "Yntec/Dreamsphere",
41
+ "Yntec/Photosphere",
42
+ "Yntec/yabalMixTrue25D_v2_VAE",
43
+ "dreamlike-art/dreamlike-anime-1.0",
44
+ "Yntec/RainbowDreams",
45
+ "dreamlike-art/dreamlike-photoreal-2.0",
46
+ "Yntec/rainbowpatch",
47
+ "Yntec/DucHaiten-Retro-Diffusers",
48
+ "Yntec/ElldrethsRetroMix_Diffusers",
49
+ "Yntec/sexyToons",
50
+ "digiplay/wantan25D_prototype",
51
+ "digiplay/PotoPhotoRealism_v1",
52
+ "digiplay/LunarDiffusion_v1.27",
53
+ "digiplay/insaneRealistic_v1",
54
+ "digiplay/OLDFish_2348_diffusers",
55
+ "DucHaiten/DucHaitenDreamWorld",
56
+ "digiplay/LemonteaMixPainterly2_v1",
57
+ "digiplay/SweetMuse_diffusers",
58
+ "dreamlike-art/dreamlike-diffusion-1.0",
59
+ "digiplay/Realisian_v1",
60
+ "Hius/DreamFul-V2",
61
+ "digiplay/m3u", #263
62
+ "digiplay/RMHF_2.5D_v2",
63
+ "digiplay/FishMix_v1.1",
64
+ "stablediffusionapi/icomix-2",
65
+ "digiplay/Remedy",
66
+ "Hemlok/QuinceMix",
67
+ "digiplay/K-main",
68
+ "digiplay/LusterMix_v1.5_safetensors", #256
69
+ "digiplay/perfectLewdFantasy_v1.01",
70
+ "digiplay/Opiate_v2",
71
+ "digiplay/PhotoSomnia_vFinal",
72
+ "Yntec/KIDSILLUSTRATIONS",
73
+ "digiplay/polla_mix_2.5D",
74
+ "Yntec/COOLKIDSV2",
75
+ "Yntec/Pavo-Mix-Diffusers",
76
+ "Yntec/RPG_Remix",
77
+ "Yntec/OrangeRemix",
78
+ "Yntec/PeachMix3",
79
+ "Yntec/DucHaitenAIart-beta",
80
+ "stablediffusionapi/all-526-animated",
81
+ "AstraliteHeart/pony-diffusion",
82
+ "stablediffusionapi/chilloutmixsf",
83
+ "Masagin/Deliberate", #235
84
+ "DucHaiten/DucHaitenSuperCute",
85
+ "stablediffusionapi/all-526",
86
+ "theintuitiveye/HARDblend",
87
+ "stablediffusionapi/cusp-of-serenity",
88
+ "stablediffusionapi/cyberrealistic",
89
+ "SG161222/Realistic_Vision_V1.4",
90
+ "digiplay/paulEberSRealismMix_v1",
91
+ "Ojimi/anime-kawai-diffusion",
92
+ "hassanblend/hassanblend1.4",
93
+ "digiplay/zodiac_eclipse_DAY1",
94
+ "LottePeisch/RevAnimated-Diffusers",
95
+ "claudfuen/photorealistic-fuen-v1",
96
+ "stablediffusionapi/chillout-app-factory",
97
+ "DucHaiten/DucHaitenJourney",
98
+ "robotjung/SemiRealMix",
99
+ "Joeythemonster/anything-midjourney-v-4-1",
100
+ "prompthero/midjourney-v4-diffusion",
101
+ "prompthero/openjourney-v4",
102
+ "x67/shortjourney",
103
+ "darkstorm2150/Protogen_v2.2_Official_Release",
104
+ "FredZhang7/paint-journey-v2",
105
+ "digiplay/PersonaStyleCheckpoint",
106
+ "darkstorm2150/Protogen_Infinity_Official_Release",
107
+ "PeggyWang/openjourney-v2",
108
+ "darkstorm2150/Protogen_x3.4_Official_Release",
109
+ "stablediffusionapi/deliberateappfactory", #236
110
+ "digiplay/CrossoverMix_v2",
111
+ "stablediffusionapi/spybg",
112
+ "stablediffusionapi/dreamshaper-v6", #239
113
+ "stablediffusionapi/the-ally",
114
+ "darkstorm2150/Protogen_x5.8_Official_Release",
115
+ "coreco/seek.art_MEGA",
116
+ "digiplay/BlankCanvas_v1", #07.11
117
+ "digiplay/OnlyAnime_v2.3",
118
+ "Korakoe/OpenNiji",
119
+ "digiplay/Photon_v1",
120
+ "digiplay/Pika_v2",
121
+ "digiplay/RealCartoon3D_F16full_v3.1", #254
122
+ "digiplay/realidefmix_3.5VAE",
123
+ "digiplay/realmixUnrealjourney_v1",
124
+ "digiplay/SyncMix_v1.5",
125
+ "digiplay/TWingshadow_v1.2",
126
+ "digiplay/V3_by_Hans_Asian",
127
+ "digiplay/whatamix_v1",
128
+
129
+ "digiplay/2K", #216
130
+ "digiplay/AIGEN_v1.4_diffusers",
131
+ "digiplay/BrickAndMortarMix_v2.0_diffusers", #224
132
+ "digiplay/BeautyFool_v1.2VAE_pruned",
133
+ "digiplay/breakdomainrealistic_R2333",
134
+ "digiplay/CCTV2.5d_v1", #219
135
+ "digiplay/ChikMix_V3", #253
136
+ "stablediffusionapi/chilledremixsazyou-r", #195
137
+ "digiplay/CityEdge_StyleMix_v1.44",
138
+ "stablediffusionapi/dalcefopainting2", #199
139
+ "digiplay/EdisonNilMix_v1", #07.10
140
+ "digiplay/DiamondCoalMix_v2_pruned_diffusers",
141
+ "digiplay/DreamShaper_7", #259
142
+ "digiplay/elegantEntropy_v1.1", #221
143
+ "digiplay/EtherRealMix_LUX2",
144
+ "digiplay/KawaiiRealisticAnimeMix_A0.3",
145
+ "digiplay/highQualityCGMIX_v1",
146
+ "digiplay/HIMAWARI_v1",
147
+ "digiplay/Hodgepodge_v2.1", #217
148
+ "digiplay/illustro1stEdition_illustroV1", #214
149
+ "digiplay/Juggernaut_final", #07.11
150
+ "digiplay/Landscape_PhotoReal_v1",
151
+ "digiplay/LuckyStrikeMix0.2Realistic", #07.10
152
+ "digiplay/Matrix_Stellar_VAE_v1",
153
+ "digiplay/PrefixRealisticMix_v1",
154
+ "digiplay/RealEpicMajicRevolution_v1", #07.11
155
+ "digiplay/ShampooMix_4", #252
156
+ "digiplay/SoapMix2.5D_v1",
157
+ "digiplay/ZemiHR_v2_diffusers",
158
+
159
+ "Redamancy2299/dreambooth",
160
+ "Lykon/DreamShaper", #240
161
+ "trysem/DreamShaper-3.3",
162
+ "HusseinHE/hussein-deliberate-1000steps", #237
163
+ "stablediffusionapi/majicmixfantasy",
164
+ "stablediffusionapi/majicmixsombre", #247
165
+ "wavymulder/modelshoot",
166
+ "digiplay/ChillyMix_v1", #215
167
+ "stablediffusionapi/foto-assisted-diffusion", #197
168
+ "wavymulder/portraitplus",
169
+ "stablediffusionapi/chilloutmix-4264",
170
+ "stablediffusionapi/product-design", #194
171
+ "kandinsky-community/kandinsky-2-1", #251
172
+
173
+ "digiplay/2.5DSET_diffusers", #227
174
+ "digiplay/2-KWI", #213
175
+ "digiplay/alstroemeriaMix_v1",
176
+ "wavymulder/Analog-Diffusion",
177
+ "digiplay/AniRealityMix_v1", #257
178
+ "digiplay/ARRealVX1.1",
179
+ "digiplay/BadAnime_v1",
180
+ "digiplay/BasilKorea_v2", #07.11
181
+ "digiplay/bluePencilRealistic_v01",
182
+ "digiplay/bra_v40_diffusers",
183
+ "digiplay/Burger_Mix_semiR2Lite", #222
184
+ "digiplay/calicomixreal_v2.0_diffusers",
185
+ "digiplay/CampurSari_Gen1",
186
+ "digiplay/cocotifacute_v1", #07.10
187
+ "digiplay/cosfMix_v1", #223
188
+ "digiplay/CounterMix_v2", #211
189
+ "digiplay/CuriousMerge2.5D_v5",
190
+ "digiplay/dosmix",
191
+ "digiplay/epi_2.5Dphotogodess_diffusers",
192
+ "stablediffusionapi/droodlyrielv15",
193
+ "digiplay/fantexi_v0.7",
194
+ "digiplay/fishmix_other_v1",
195
+ "digiplay/FormCleansingMix_v1", #228
196
+ "digiplay/FumizukiMix_v1",
197
+ "digiplay/helloworld_v3",
198
+ "digiplay/HenmixArt_v1",
199
+ "digiplay/ISOmix_v3.22",
200
+ "digiplay/kencanmix_v2.0beta",
201
+ "wavymulder/lomo-diffusion",
202
+ "stablediffusionapi/majicmixv5", #192
203
+ "digiplay/mecha_musume_vivid_soft",
204
+ "digiplay/MiracleMixGlitter_v1",
205
+ "digiplay/MixTape_RocknRoll_v3punk_bake_fp16",
206
+ "digiplay/NextPhoto_v1",
207
+ "digiplay/Noosphere_v3",
208
+ "digiplay/nk15_diffusers", #230
209
+ "digiplay/PeachMixsRelistic_R0", #262
210
+ "wavymulder/timeless-diffusion",
211
+ "digiplay/WhiteDreamyHillMix_v1", #220
212
+ "digiplay/ya3p_VAE", #258
213
 
214
+ "DucHaiten/DucHaitenAnime",
215
+ "DucHaiten/DucHaitenAIart",
216
+ "Manseo/Colorful-v4.5-Plus", #244
217
+ "Guizmus/SDArt_ChaosAndOrder",
218
+ "DucHaiten/DH_ClassicAnime",
219
+ "stablediffusionapi/disneypixar",
220
+ "johnslegers/epic-diffusion-v1.1",
221
+ "emilianJR/epiCRealism",
222
+ "johnslegers/epic-diffusion",
223
+ "digiplay/endlessMixRenatus_v1.1", #07.10
224
+ "digiplay/fantasticAnime_diffusers",
225
+ "stablediffusionapi/ghostmix",
226
+ "Duskfallcrew/EpicMix_Realism",
227
+ "nitrosocke/Nitro-Diffusion",
228
+ "prompthero/openjourney",
229
+ "Guizmus/SDArt_something",
230
+ "DucHaiten/DucHaiten-StyleLikeMe",
231
+ "ddPn08/subtly", #250
232
+ "22h/vintedois-diffusion-v0-1",
233
 
234
+ "circulus/sd-anireal-v2.7",
235
+ "0xJustin/Dungeons-and-Diffusion",
236
+ "Guizmus/SDArt_AliceInDiffusionLand",
237
+ "stablediffusionapi/realistic-vision-v20-2047",
238
+ "redstonehero/RPG-v5-itr17_A10T",
239
 
240
+ "stablediffusionapi/camelliamix25d",
241
+ "Guizmus/SDArt_cosmichorrors",
242
+ "DGSpitzer/DGSpitzer-Art-Diffusion",
243
+ "stablediffusionapi/emotion-puppeteer-v2",
244
+ "stablediffusionapi/fengjing",
245
+ "stablediffusionapi/fuwafuwamix",
246
+ "Fred99774/girlnew1",
247
+ "stablediffusionapi/majicmixrealistic",
248
+ "badmonk/nxka",
249
+ "ItsJayQz/SynthwavePunk-v2",
250
+ "zhyemmmm/ToonYou",
251
+ "stablediffusionapi/uber-realistic-merge",
252
+ "stablediffusionapi/vne732h9dh4",
253
+ "stablediffusionapi/wand-magic2",
254
+ "stablediffusionapi/waifu-journey-2",
255
+ "stablediffusionapi/zovya",
256
 
257
+ "Guizmus/SDArt_cosmichorrors768",
258
+ "stablediffusionapi/counterfeit-v30",
259
+ "stablediffusionapi/amireal",
260
+ #"JamesFlare/pastel-mix", #"andite/pastel-mix",
261
+ "stablediffusionapi/rev-anim",
262
+ "aipicasso/picasso-diffusion-1-1",
263
+ "xiaolxl/Gf_style2",
264
+ "circulus/sd-semireal-v2.8",
265
+ "Crosstyan/BPModel", #07.11
266
+
267
+ "digiplay/Dusk-1",
268
+ "ogkalu/Comic-Diffusion",
269
+ "Guizmus/SDArt_ChaosAndOrder768",
270
+ "gsdf/Counterfeit-V2.0",
271
+ "dwancin/memoji", #07.11
272
+ "nousr/robo-diffusion-2-base",
273
+
274
+ ##"hakurei/waifu-diffusion",
275
+ "WarriorMama777/AbyssOrangeMix2",
276
+ "stablediffusionapi/abyssorangemix2nsfw", #200
277
+ "cag/anything-v3-1",
278
+ "iZELX1/Anything-V3-X",
279
+ "xyn-ai/anything-v4.0", #"andite/anything-v4.0",
280
+ "D1b4l4p/AsianMix",
281
+ "Fred99774/chilloutvlara",
282
+ "aipicasso/cool-japan-diffusion-2-1-2",
283
+ "stablediffusionapi/corneos-7th-heaven-m", #196
284
+ "DGSpitzer/Cyberpunk-Anime-Diffusion",
285
+ "stablediffusionapi/dark-sushi-mix",
286
+ "joachimsallstrom/Double-Exposure-Diffusion",
287
+ "eimiss/EimisAnimeDiffusion_1.0v",
288
+ "prompthero/funko-diffusion",
289
+ "nitrosocke/Ghibli-Diffusion",
290
+ ###"iZELX1/Grapefruit",
291
+ "xiaolxl/GuoFeng3",
292
+ "stablediffusionapi/tmnd-mix",
293
+ "coder119/Vectorartz_Diffusion", #203
294
+
295
+ "WarriorMama777/AbyssOrangeMix",
296
+ "AIARTCHAN/7pa",
297
+ "JosephusCheung/ACertainModel",
298
+ "JosephusCheung/ACertainThing",
299
+ "AIARTCHAN/AbyssHellHero",
300
+ "JosephusCheung/ACertainty",
301
+ "AIARTCHAN/AbyssHellVer3",
302
+ "AIARTCHAN/AbyssMapleVer3",
303
+ "stablediffusionapi/abyssorangemixsfw",
304
+ "AIARTCHAN/anidosmixV2",
305
+ "stablediffusionapi/anime-model-v2",
306
+ "kubanemil/AnyLORA",
307
+ "stablediffusionapi/hc-anything-v3-vae", #231
308
+ "mm00/anything-v3.0-light",
309
+ "stablediffusionapi/anythingelse-v4",
310
+ "stablediffusionapi/anything-v45-fixed",
311
+ "stablediffusionapi/anything-v5",
312
+ "nitrosocke/Arcane-Diffusion",
313
+ "nitrosocke/archer-diffusion",
314
+ "stablediffusionapi/architecture-tuned-model",
315
+ "WarriorMama777/BloodOrangeMix",
316
+ "wavymulder/collage-diffusion",
317
+ "stablediffusionapi/camelliamixline",
318
+ "digiplay/chrysanthemumMix_v1",
319
+ "digiplay/CiderMix_ciderR", #260
320
+ "Johnhex/Clam", #243
321
+ "stablediffusionapi/cosmic-babes",
322
+ "digiplay/CoffeeDonut_v1",
323
+ "stablediffusionapi/dark-sushi-25d",
324
+ "digiplay/Defacta_v1_diffusers", #226
325
+ ## "WarriorMama777/EerieOrangeMix",
326
+ "digiplay/DuelAnimeMix_v1", #225
327
+ "Envvi/Inkpunk-Diffusion",
328
+ "digiplay/kotosmix_diffusers", #229
329
+ "stablediffusionapi/meinaalter",
330
+ "Nacholmo/meinamixv7-diffusers",
331
+ "stablediffusionapi/meinapastel",
332
+ "AIARTCHAN/MIX-Pro-V4",
333
+ "Lykon/NeverEnding-Dream",
334
+ "stablediffusionapi/shirataki-mix", #191
335
+ "NoCrypt/SomethingV2_2",
336
+ "NoCrypt/SomethingV2",
337
+ "badmonk/sxzumi",
338
+ ## "stablediffusionapi/three-delicacy",
339
+ ## "stablediffusionapi/three-delicacy-wonto",
340
+ "etherealxx/systemy-csrmodel-cutesexyrobutts", #"andite/cutesexyrobutts-diffusion",
341
+ "sd-dreambooth-library/true-guweiz-style", # "andite/guweiz-diffusion",
342
+ "stablediffusionapi/vector-art", #198
343
+ "digiplay/xxMix_4",
344
+ ###"mio/hiten", #"andite/hiten-diffusion",
345
+ ### "andite/mashuu-diffusion",
346
+ ### "andite/mignon-diffusion",
347
+ ### "andite/mikapikazo-diffusion",
348
+ ### "andite/piromizu-diffusion",
349
+ "digiplay/Zevinemix_v1.0/",
350
 
351
+ "digiplay/AnaMix_v2", #07.11
352
+ "stablediffusionapi/animetestmodelv3",
353
+ "yulet1de/anything", #232
354
+ "hakurei/artstation-diffusion", #07.11
355
+ "Fictiverse/Stable_Diffusion_BalloonArt_Model",
356
+ "stablediffusionapi/bg-dream-irl",
357
+ "stablediffusionapi/bg-dream-model-b", #193
358
+ "Rardilit/Ciffusion_v0.1",
359
+ "circulus/sd-anireal-2d-v2",
360
+ "circulus/sd-photoreal-v2.7",
361
+ "circulus/sd-photoreal-photo-v2",
362
+ "circulus/sd-anireal-2.5d-v2",
363
+ "circulus/sd-anireal-v2.5",
364
+ "circulus/sd-photoreal-semi-v2",
365
+ "circulus/sd-photoreal-real-v2",
366
+ "circulus/sd-photoreal-v2.5",
367
+ "circulus/sd-anireal-3d-v2",
368
+ "circulus/sd-anireal-v2.8",
369
+ "nitrosocke/classic-anim-diffusion",
370
+ "Conflictx/Complex-Lineart", #245
371
+ "sayakpaul/da-vinci-sd-pokemon",
372
+ "nitrosocke/elden-ring-diffusion",
373
+ "digiplay/EtherBluMix_1", #07.11
374
+ "digiplay/fantasticmix_v40_test", #261
375
+ "theintuitiveye/FantasyMix",
376
+ "Fictiverse/Stable_Diffusion_FluidArt_Model",
377
+ "nitrosocke/Future-Diffusion",
378
+ "ItsJayQz/GTA5_Artwork_Diffusion", #205
379
+ "digiplay/hellopure_v2.23",
380
+ "TheLastBen/hrrzg-style-768px", #246
381
+ "nevernotsean/IllustratedPaperMini", #242
382
+ "dallinmackay/JWST-Deep-Space-diffusion",
383
+ "prompthero/linkedin-diffusion",
384
+ "mann-e/mann-e_4_rev-0-1", #210
385
+ "ItsJayQz/Marvel_WhatIf_Diffusion", #206
386
+ "yuanbit/max-15-1e-6-1500",
387
+ "MyneFactory/MF-Base", #248
388
+ "Fictiverse/Stable_Diffusion_Microscopic_model", #249
389
+ "nitrosocke/mo-di-diffusion",
390
+ "luongphamit/NeverEnding-Dream2", #241
391
+ "lambdalabs/sd-naruto-diffusers", #201
392
+ "Vernon-2/output_test",
393
+ "Fictiverse/Stable_Diffusion_PaperCut_Model",
394
+ "bsuutari/path_to_saved_model",
395
+ "bsuutari/path_to_saved_model_rafa",
396
+ "digiplay/PlanetBumix_v1",
397
+ "lambdalabs/sd-pokemon-diffusers", #202
398
+ "prompthero/poolsuite-diffusion",
399
+ "digiplay/RealismEngine_v1",
400
+ "nitrosocke/redshift-diffusion",
401
+ "nitrosocke/redshift-diffusion-768",
402
+ "nousr/robo-diffusion",
403
+ "digiplay/SDVN1-Real_v1", #255
404
+ "nitrosocke/spider-verse-diffusion",
405
+ #"runwayml/stable-diffusion-v1-5",
406
+ "nicky007/stable-diffusion-logo-fine-tuned",
407
+ "stablediffusionapi/three-delicacy", #233
408
+ "stablediffusionapi/three-delicacy-wonto", #234
409
+ "naclbit/trinart_stable_diffusion_v2",
410
+ "dallinmackay/Tron-Legacy-diffusion",
411
+ "digiplay/unstableDiffusersYamerMIX_v3",
412
+ "dallinmackay/Van-Gogh-diffusion",
413
+ "ItsJayQz/Valorant_Diffusion",
414
+ "Fictiverse/Stable_Diffusion_VoxelArt_Model", #204
415
+ "wavymulder/wavyfusion",
416
+ "CompVis/stable-diffusion-v1-3", #207
417
+ "CompVis/stable-diffusion-v1-2", #208
418
+ "CompVis/stable-diffusion-v1-1", #209
419
+ ]
420
+ current_model = models[0]
421
 
422
+ text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
423
 
424
+ models2=[
425
+ gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False),
426
+ gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False),
427
+ gr.Interface.load(f"models/{models[2]}",live=True,preprocess=False),
428
+ gr.Interface.load(f"models/{models[3]}",live=True,preprocess=False),
429
+ gr.Interface.load(f"models/{models[4]}",live=True,preprocess=False),
430
+ gr.Interface.load(f"models/{models[5]}",live=True,preprocess=False),
431
+ gr.Interface.load(f"models/{models[6]}",live=True,preprocess=False),
432
+ gr.Interface.load(f"models/{models[7]}",live=True,preprocess=False),
433
+ gr.Interface.load(f"models/{models[8]}",live=True,preprocess=False),
434
+ gr.Interface.load(f"models/{models[9]}",live=True,preprocess=False),
435
+ gr.Interface.load(f"models/{models[10]}",live=True,preprocess=False),
436
+ gr.Interface.load(f"models/{models[11]}",live=True,preprocess=False),
437
+ gr.Interface.load(f"models/{models[12]}",live=True,preprocess=False),
438
+ gr.Interface.load(f"models/{models[13]}",live=True,preprocess=False),
439
+ gr.Interface.load(f"models/{models[14]}",live=True,preprocess=False),
440
+ gr.Interface.load(f"models/{models[15]}",live=True,preprocess=False),
441
+ gr.Interface.load(f"models/{models[16]}",live=True,preprocess=False),
442
+ gr.Interface.load(f"models/{models[17]}",live=True,preprocess=False),
443
+ gr.Interface.load(f"models/{models[18]}",live=True,preprocess=False),
444
+ gr.Interface.load(f"models/{models[19]}",live=True,preprocess=False),
445
+ gr.Interface.load(f"models/{models[20]}",live=True,preprocess=False),
446
+ gr.Interface.load(f"models/{models[21]}",live=True,preprocess=False),
447
+ gr.Interface.load(f"models/{models[22]}",live=True,preprocess=False),
448
+ gr.Interface.load(f"models/{models[23]}",live=True,preprocess=False),
449
+ gr.Interface.load(f"models/{models[24]}",live=True,preprocess=False),
450
+ gr.Interface.load(f"models/{models[25]}",live=True,preprocess=False),
451
+ gr.Interface.load(f"models/{models[26]}",live=True,preprocess=False),
452
+ gr.Interface.load(f"models/{models[27]}",live=True,preprocess=False),
453
+ gr.Interface.load(f"models/{models[28]}",live=True,preprocess=False),
454
+ gr.Interface.load(f"models/{models[29]}",live=True,preprocess=False),
455
+ gr.Interface.load(f"models/{models[30]}",live=True,preprocess=False),
456
+ gr.Interface.load(f"models/{models[31]}",live=True,preprocess=False),
457
+ gr.Interface.load(f"models/{models[32]}",live=True,preprocess=False),
458
+ gr.Interface.load(f"models/{models[33]}",live=True,preprocess=False),
459
+ gr.Interface.load(f"models/{models[34]}",live=True,preprocess=False),
460
+ gr.Interface.load(f"models/{models[35]}",live=True,preprocess=False),
461
+ gr.Interface.load(f"models/{models[36]}",live=True,preprocess=False),
462
+ gr.Interface.load(f"models/{models[37]}",live=True,preprocess=False),
463
+ gr.Interface.load(f"models/{models[38]}",live=True,preprocess=False),
464
+ gr.Interface.load(f"models/{models[39]}",live=True,preprocess=False),
465
+ gr.Interface.load(f"models/{models[40]}",live=True,preprocess=False),
466
+ gr.Interface.load(f"models/{models[41]}",live=True,preprocess=False),
467
+ gr.Interface.load(f"models/{models[42]}",live=True,preprocess=False),
468
+ gr.Interface.load(f"models/{models[43]}",live=True,preprocess=False),
469
+ gr.Interface.load(f"models/{models[44]}",live=True,preprocess=False),
470
+ gr.Interface.load(f"models/{models[45]}",live=True,preprocess=False),
471
+ gr.Interface.load(f"models/{models[46]}",live=True,preprocess=False),
472
+ gr.Interface.load(f"models/{models[47]}",live=True,preprocess=False),
473
+ gr.Interface.load(f"models/{models[48]}",live=True,preprocess=False),
474
+ gr.Interface.load(f"models/{models[49]}",live=True,preprocess=False),
475
+ gr.Interface.load(f"models/{models[50]}",live=True,preprocess=False),
476
+ gr.Interface.load(f"models/{models[51]}",live=True,preprocess=False),
477
+ gr.Interface.load(f"models/{models[52]}",live=True,preprocess=False),
478
+ gr.Interface.load(f"models/{models[53]}",live=True,preprocess=False),
479
+ gr.Interface.load(f"models/{models[54]}",live=True,preprocess=False),
480
+ gr.Interface.load(f"models/{models[55]}",live=True,preprocess=False),
481
+ gr.Interface.load(f"models/{models[56]}",live=True,preprocess=False),
482
+ gr.Interface.load(f"models/{models[57]}",live=True,preprocess=False),
483
+ gr.Interface.load(f"models/{models[58]}",live=True,preprocess=False),
484
+ gr.Interface.load(f"models/{models[59]}",live=True,preprocess=False),
485
+ gr.Interface.load(f"models/{models[60]}",live=True,preprocess=False),
486
+ gr.Interface.load(f"models/{models[61]}",live=True,preprocess=False),
487
+ gr.Interface.load(f"models/{models[62]}",live=True,preprocess=False),
488
+ gr.Interface.load(f"models/{models[63]}",live=True,preprocess=False),
489
+ gr.Interface.load(f"models/{models[64]}",live=True,preprocess=False),
490
+ gr.Interface.load(f"models/{models[65]}",live=True,preprocess=False),
491
+ gr.Interface.load(f"models/{models[66]}",live=True,preprocess=False),
492
+ gr.Interface.load(f"models/{models[67]}",live=True,preprocess=False),
493
+ gr.Interface.load(f"models/{models[68]}",live=True,preprocess=False),
494
+ gr.Interface.load(f"models/{models[69]}",live=True,preprocess=False),
495
+ gr.Interface.load(f"models/{models[70]}",live=True,preprocess=False),
496
+ gr.Interface.load(f"models/{models[71]}",live=True,preprocess=False),
497
+ gr.Interface.load(f"models/{models[72]}",live=True,preprocess=False),
498
+ gr.Interface.load(f"models/{models[73]}",live=True,preprocess=False),
499
+ gr.Interface.load(f"models/{models[74]}",live=True,preprocess=False),
500
+ gr.Interface.load(f"models/{models[75]}",live=True,preprocess=False),
501
+ gr.Interface.load(f"models/{models[76]}",live=True,preprocess=False),
502
+ gr.Interface.load(f"models/{models[77]}",live=True,preprocess=False),
503
+ gr.Interface.load(f"models/{models[78]}",live=True,preprocess=False),
504
+ gr.Interface.load(f"models/{models[79]}",live=True,preprocess=False),
505
+ gr.Interface.load(f"models/{models[80]}",live=True,preprocess=False),
506
+ gr.Interface.load(f"models/{models[81]}",live=True,preprocess=False),
507
+ gr.Interface.load(f"models/{models[82]}",live=True,preprocess=False),
508
+ gr.Interface.load(f"models/{models[83]}",live=True,preprocess=False),
509
+ gr.Interface.load(f"models/{models[84]}",live=True,preprocess=False),
510
+ gr.Interface.load(f"models/{models[85]}",live=True,preprocess=False),
511
+ gr.Interface.load(f"models/{models[86]}",live=True,preprocess=False),
512
+ gr.Interface.load(f"models/{models[87]}",live=True,preprocess=False),
513
+ gr.Interface.load(f"models/{models[88]}",live=True,preprocess=False),
514
+ gr.Interface.load(f"models/{models[89]}",live=True,preprocess=False),
515
+ gr.Interface.load(f"models/{models[90]}",live=True,preprocess=False),
516
+ gr.Interface.load(f"models/{models[91]}",live=True,preprocess=False),
517
+ gr.Interface.load(f"models/{models[92]}",live=True,preprocess=False),
518
+ gr.Interface.load(f"models/{models[93]}",live=True,preprocess=False),
519
+ gr.Interface.load(f"models/{models[94]}",live=True,preprocess=False),
520
+ gr.Interface.load(f"models/{models[95]}",live=True,preprocess=False),
521
+ gr.Interface.load(f"models/{models[96]}",live=True,preprocess=False),
522
+ gr.Interface.load(f"models/{models[97]}",live=True,preprocess=False),
523
+ gr.Interface.load(f"models/{models[98]}",live=True,preprocess=False),
524
+ gr.Interface.load(f"models/{models[99]}",live=True,preprocess=False),
525
+ gr.Interface.load(f"models/{models[100]}",live=True,preprocess=False),
526
+ gr.Interface.load(f"models/{models[101]}",live=True,preprocess=False),
527
+ gr.Interface.load(f"models/{models[102]}",live=True,preprocess=False),
528
+ gr.Interface.load(f"models/{models[103]}",live=True,preprocess=False),
529
+ gr.Interface.load(f"models/{models[104]}",live=True,preprocess=False),
530
+ gr.Interface.load(f"models/{models[105]}",live=True,preprocess=False),
531
+ gr.Interface.load(f"models/{models[106]}",live=True,preprocess=False),
532
+ gr.Interface.load(f"models/{models[107]}",live=True,preprocess=False),
533
+ gr.Interface.load(f"models/{models[108]}",live=True,preprocess=False),
534
+ gr.Interface.load(f"models/{models[109]}",live=True,preprocess=False),
535
+ gr.Interface.load(f"models/{models[110]}",live=True,preprocess=False),
536
+ gr.Interface.load(f"models/{models[111]}",live=True,preprocess=False),
537
+ gr.Interface.load(f"models/{models[112]}",live=True,preprocess=False),
538
+ gr.Interface.load(f"models/{models[113]}",live=True,preprocess=False),
539
+ gr.Interface.load(f"models/{models[114]}",live=True,preprocess=False),
540
+ gr.Interface.load(f"models/{models[115]}",live=True,preprocess=False),
541
+ gr.Interface.load(f"models/{models[116]}",live=True,preprocess=False),
542
+ gr.Interface.load(f"models/{models[117]}",live=True,preprocess=False),
543
+ gr.Interface.load(f"models/{models[118]}",live=True,preprocess=False),
544
+ gr.Interface.load(f"models/{models[119]}",live=True,preprocess=False),
545
+ gr.Interface.load(f"models/{models[120]}",live=True,preprocess=False),
546
+ gr.Interface.load(f"models/{models[121]}",live=True,preprocess=False),
547
+ gr.Interface.load(f"models/{models[122]}",live=True,preprocess=False),
548
+ gr.Interface.load(f"models/{models[123]}",live=True,preprocess=False),
549
+ gr.Interface.load(f"models/{models[124]}",live=True,preprocess=False),
550
+ gr.Interface.load(f"models/{models[125]}",live=True,preprocess=False),
551
+ gr.Interface.load(f"models/{models[126]}",live=True,preprocess=False),
552
+ gr.Interface.load(f"models/{models[127]}",live=True,preprocess=False),
553
+ gr.Interface.load(f"models/{models[128]}",live=True,preprocess=False),
554
+ gr.Interface.load(f"models/{models[129]}",live=True,preprocess=False),
555
+ gr.Interface.load(f"models/{models[130]}",live=True,preprocess=False),
556
+ gr.Interface.load(f"models/{models[131]}",live=True,preprocess=False),
557
+ gr.Interface.load(f"models/{models[132]}",live=True,preprocess=False),
558
+ gr.Interface.load(f"models/{models[133]}",live=True,preprocess=False),
559
+ gr.Interface.load(f"models/{models[134]}",live=True,preprocess=False),
560
+ gr.Interface.load(f"models/{models[135]}",live=True,preprocess=False),
561
+ gr.Interface.load(f"models/{models[136]}",live=True,preprocess=False),
562
+ gr.Interface.load(f"models/{models[137]}",live=True,preprocess=False),
563
+ gr.Interface.load(f"models/{models[138]}",live=True,preprocess=False),
564
+ gr.Interface.load(f"models/{models[139]}",live=True,preprocess=False),
565
+ gr.Interface.load(f"models/{models[140]}",live=True,preprocess=False),
566
+ gr.Interface.load(f"models/{models[141]}",live=True,preprocess=False),
567
+ gr.Interface.load(f"models/{models[142]}",live=True,preprocess=False),
568
+ gr.Interface.load(f"models/{models[143]}",live=True,preprocess=False),
569
+ gr.Interface.load(f"models/{models[144]}",live=True,preprocess=False),
570
+ gr.Interface.load(f"models/{models[145]}",live=True,preprocess=False),
571
+ gr.Interface.load(f"models/{models[146]}",live=True,preprocess=False),
572
+ gr.Interface.load(f"models/{models[147]}",live=True,preprocess=False),
573
+ gr.Interface.load(f"models/{models[148]}",live=True,preprocess=False),
574
+ gr.Interface.load(f"models/{models[149]}",live=True,preprocess=False),
575
+ gr.Interface.load(f"models/{models[150]}",live=True,preprocess=False),
576
+ gr.Interface.load(f"models/{models[151]}",live=True,preprocess=False),
577
+ gr.Interface.load(f"models/{models[152]}",live=True,preprocess=False),
578
+ gr.Interface.load(f"models/{models[153]}",live=True,preprocess=False),
579
+ gr.Interface.load(f"models/{models[154]}",live=True,preprocess=False),
580
+ gr.Interface.load(f"models/{models[155]}",live=True,preprocess=False),
581
+ gr.Interface.load(f"models/{models[156]}",live=True,preprocess=False),
582
+ gr.Interface.load(f"models/{models[157]}",live=True,preprocess=False),
583
+ gr.Interface.load(f"models/{models[158]}",live=True,preprocess=False),
584
+ gr.Interface.load(f"models/{models[159]}",live=True,preprocess=False),
585
 
586
+ gr.Interface.load(f"models/{models[160]}",live=True,preprocess=False),
587
+ gr.Interface.load(f"models/{models[161]}",live=True,preprocess=False),
588
+ gr.Interface.load(f"models/{models[162]}",live=True,preprocess=False),
589
+ gr.Interface.load(f"models/{models[163]}",live=True,preprocess=False),
590
+ gr.Interface.load(f"models/{models[164]}",live=True,preprocess=False),
591
+ gr.Interface.load(f"models/{models[165]}",live=True,preprocess=False),
592
+ gr.Interface.load(f"models/{models[166]}",live=True,preprocess=False),
593
+ gr.Interface.load(f"models/{models[167]}",live=True,preprocess=False),
594
+ gr.Interface.load(f"models/{models[168]}",live=True,preprocess=False),
595
+ gr.Interface.load(f"models/{models[169]}",live=True,preprocess=False),
596
 
597
+ gr.Interface.load(f"models/{models[170]}",live=True,preprocess=False),
598
+ gr.Interface.load(f"models/{models[171]}",live=True,preprocess=False),
599
+ gr.Interface.load(f"models/{models[172]}",live=True,preprocess=False),
600
+ gr.Interface.load(f"models/{models[173]}",live=True,preprocess=False),
601
+ gr.Interface.load(f"models/{models[174]}",live=True,preprocess=False),
602
+ gr.Interface.load(f"models/{models[175]}",live=True,preprocess=False),
603
+ gr.Interface.load(f"models/{models[176]}",live=True,preprocess=False),
604
+ gr.Interface.load(f"models/{models[177]}",live=True,preprocess=False),
605
+ gr.Interface.load(f"models/{models[178]}",live=True,preprocess=False),
606
+ gr.Interface.load(f"models/{models[179]}",live=True,preprocess=False),
607
 
608
+ gr.Interface.load(f"models/{models[180]}",live=True,preprocess=False),
609
+ gr.Interface.load(f"models/{models[181]}",live=True,preprocess=False),
610
+ gr.Interface.load(f"models/{models[182]}",live=True,preprocess=False),
611
+ gr.Interface.load(f"models/{models[183]}",live=True,preprocess=False),
612
+ gr.Interface.load(f"models/{models[184]}",live=True,preprocess=False),
613
+ gr.Interface.load(f"models/{models[185]}",live=True,preprocess=False),
614
+ gr.Interface.load(f"models/{models[186]}",live=True,preprocess=False),
615
+ gr.Interface.load(f"models/{models[187]}",live=True,preprocess=False),
616
+ gr.Interface.load(f"models/{models[188]}",live=True,preprocess=False),
617
+ gr.Interface.load(f"models/{models[189]}",live=True,preprocess=False),
618
 
619
+ gr.Interface.load(f"models/{models[190]}",live=True,preprocess=False),
620
+ gr.Interface.load(f"models/{models[191]}",live=True,preprocess=False),
621
+ gr.Interface.load(f"models/{models[192]}",live=True,preprocess=False),
622
+ gr.Interface.load(f"models/{models[193]}",live=True,preprocess=False),
623
+ gr.Interface.load(f"models/{models[194]}",live=True,preprocess=False),
624
+ gr.Interface.load(f"models/{models[195]}",live=True,preprocess=False),
625
+ gr.Interface.load(f"models/{models[196]}",live=True,preprocess=False),
626
+ gr.Interface.load(f"models/{models[197]}",live=True,preprocess=False),
627
+ gr.Interface.load(f"models/{models[198]}",live=True,preprocess=False),
628
+ gr.Interface.load(f"models/{models[199]}",live=True,preprocess=False),
629
+
630
+ gr.Interface.load(f"models/{models[200]}",live=True,preprocess=False),
631
+ gr.Interface.load(f"models/{models[201]}",live=True,preprocess=False),
632
+ gr.Interface.load(f"models/{models[202]}",live=True,preprocess=False),
633
+ gr.Interface.load(f"models/{models[203]}",live=True,preprocess=False),
634
+ gr.Interface.load(f"models/{models[204]}",live=True,preprocess=False),
635
+ gr.Interface.load(f"models/{models[205]}",live=True,preprocess=False),
636
+ gr.Interface.load(f"models/{models[206]}",live=True,preprocess=False),
637
+ gr.Interface.load(f"models/{models[207]}",live=True,preprocess=False),
638
+ gr.Interface.load(f"models/{models[208]}",live=True,preprocess=False),
639
+ gr.Interface.load(f"models/{models[209]}",live=True,preprocess=False),
640
+
641
+ gr.Interface.load(f"models/{models[210]}",live=True,preprocess=False),
642
+ gr.Interface.load(f"models/{models[211]}",live=True,preprocess=False),
643
+ gr.Interface.load(f"models/{models[212]}",live=True,preprocess=False),
644
+ gr.Interface.load(f"models/{models[213]}",live=True,preprocess=False),
645
+ gr.Interface.load(f"models/{models[214]}",live=True,preprocess=False),
646
+ gr.Interface.load(f"models/{models[215]}",live=True,preprocess=False),
647
+ gr.Interface.load(f"models/{models[216]}",live=True,preprocess=False),
648
+ gr.Interface.load(f"models/{models[217]}",live=True,preprocess=False),
649
+ gr.Interface.load(f"models/{models[218]}",live=True,preprocess=False),
650
+ gr.Interface.load(f"models/{models[219]}",live=True,preprocess=False),
651
+
652
+ gr.Interface.load(f"models/{models[220]}",live=True,preprocess=False),
653
+ gr.Interface.load(f"models/{models[221]}",live=True,preprocess=False),
654
+ gr.Interface.load(f"models/{models[222]}",live=True,preprocess=False),
655
+ gr.Interface.load(f"models/{models[223]}",live=True,preprocess=False),
656
+ gr.Interface.load(f"models/{models[224]}",live=True,preprocess=False),
657
+ gr.Interface.load(f"models/{models[225]}",live=True,preprocess=False),
658
+ gr.Interface.load(f"models/{models[226]}",live=True,preprocess=False),
659
+ gr.Interface.load(f"models/{models[227]}",live=True,preprocess=False),
660
+ gr.Interface.load(f"models/{models[228]}",live=True,preprocess=False),
661
+ gr.Interface.load(f"models/{models[229]}",live=True,preprocess=False),
662
+
663
+ gr.Interface.load(f"models/{models[230]}",live=True,preprocess=False),
664
+ gr.Interface.load(f"models/{models[231]}",live=True,preprocess=False),
665
+ gr.Interface.load(f"models/{models[232]}",live=True,preprocess=False),
666
+ gr.Interface.load(f"models/{models[233]}",live=True,preprocess=False),
667
+ gr.Interface.load(f"models/{models[234]}",live=True,preprocess=False),
668
+ gr.Interface.load(f"models/{models[235]}",live=True,preprocess=False),
669
+ gr.Interface.load(f"models/{models[236]}",live=True,preprocess=False),
670
+ gr.Interface.load(f"models/{models[237]}",live=True,preprocess=False),
671
+ gr.Interface.load(f"models/{models[238]}",live=True,preprocess=False),
672
+ gr.Interface.load(f"models/{models[239]}",live=True,preprocess=False),
673
+
674
+ gr.Interface.load(f"models/{models[240]}",live=True,preprocess=False),
675
+ gr.Interface.load(f"models/{models[241]}",live=True,preprocess=False),
676
+ gr.Interface.load(f"models/{models[242]}",live=True,preprocess=False),
677
+ gr.Interface.load(f"models/{models[243]}",live=True,preprocess=False),
678
+ gr.Interface.load(f"models/{models[244]}",live=True,preprocess=False),
679
+ gr.Interface.load(f"models/{models[245]}",live=True,preprocess=False),
680
+ gr.Interface.load(f"models/{models[246]}",live=True,preprocess=False),
681
+ gr.Interface.load(f"models/{models[247]}",live=True,preprocess=False),
682
+ gr.Interface.load(f"models/{models[248]}",live=True,preprocess=False),
683
+ gr.Interface.load(f"models/{models[249]}",live=True,preprocess=False),
684
+
685
+ gr.Interface.load(f"models/{models[250]}",live=True,preprocess=False),
686
+ gr.Interface.load(f"models/{models[251]}",live=True,preprocess=False),
687
+ gr.Interface.load(f"models/{models[252]}",live=True,preprocess=False),
688
+ gr.Interface.load(f"models/{models[253]}",live=True,preprocess=False),
689
+ gr.Interface.load(f"models/{models[254]}",live=True,preprocess=False),
690
+ gr.Interface.load(f"models/{models[255]}",live=True,preprocess=False),
691
+ gr.Interface.load(f"models/{models[256]}",live=True,preprocess=False),
692
+ gr.Interface.load(f"models/{models[257]}",live=True,preprocess=False),
693
+ gr.Interface.load(f"models/{models[258]}",live=True,preprocess=False),
694
+ gr.Interface.load(f"models/{models[259]}",live=True,preprocess=False),
695
+
696
+ gr.Interface.load(f"models/{models[260]}",live=True,preprocess=False),
697
+ gr.Interface.load(f"models/{models[261]}",live=True,preprocess=False),
698
+ gr.Interface.load(f"models/{models[262]}",live=True,preprocess=False),
699
+ gr.Interface.load(f"models/{models[263]}",live=True,preprocess=False),
700
+ gr.Interface.load(f"models/{models[264]}",live=True,preprocess=False),
701
+ gr.Interface.load(f"models/{models[265]}",live=True,preprocess=False),
702
+ gr.Interface.load(f"models/{models[266]}",live=True,preprocess=False),
703
+ gr.Interface.load(f"models/{models[267]}",live=True,preprocess=False),
704
+ gr.Interface.load(f"models/{models[268]}",live=True,preprocess=False),
705
+ gr.Interface.load(f"models/{models[269]}",live=True,preprocess=False),
706
+
707
+ gr.Interface.load(f"models/{models[270]}",live=True,preprocess=False),
708
+ gr.Interface.load(f"models/{models[271]}",live=True,preprocess=False),
709
+ gr.Interface.load(f"models/{models[272]}",live=True,preprocess=False),
710
+ gr.Interface.load(f"models/{models[273]}",live=True,preprocess=False),
711
+ gr.Interface.load(f"models/{models[274]}",live=True,preprocess=False),
712
+ gr.Interface.load(f"models/{models[275]}",live=True,preprocess=False),
713
+ gr.Interface.load(f"models/{models[276]}",live=True,preprocess=False),
714
+ gr.Interface.load(f"models/{models[277]}",live=True,preprocess=False),
715
+ gr.Interface.load(f"models/{models[278]}",live=True,preprocess=False),
716
+ gr.Interface.load(f"models/{models[279]}",live=True,preprocess=False),
717
+
718
+ gr.Interface.load(f"models/{models[280]}",live=True,preprocess=False),
719
+ gr.Interface.load(f"models/{models[281]}",live=True,preprocess=False),
720
+ gr.Interface.load(f"models/{models[282]}",live=True,preprocess=False),
721
+ gr.Interface.load(f"models/{models[283]}",live=True,preprocess=False),
722
+ gr.Interface.load(f"models/{models[284]}",live=True,preprocess=False),
723
+ gr.Interface.load(f"models/{models[285]}",live=True,preprocess=False),
724
+ gr.Interface.load(f"models/{models[286]}",live=True,preprocess=False),
725
+ gr.Interface.load(f"models/{models[287]}",live=True,preprocess=False),
726
+ gr.Interface.load(f"models/{models[288]}",live=True,preprocess=False),
727
+ gr.Interface.load(f"models/{models[289]}",live=True,preprocess=False),
728
+
729
+ gr.Interface.load(f"models/{models[290]}",live=True,preprocess=False),
730
+ gr.Interface.load(f"models/{models[291]}",live=True,preprocess=False),
731
+ gr.Interface.load(f"models/{models[292]}",live=True,preprocess=False),
732
+ gr.Interface.load(f"models/{models[293]}",live=True,preprocess=False),
733
+ gr.Interface.load(f"models/{models[294]}",live=True,preprocess=False),
734
+ gr.Interface.load(f"models/{models[295]}",live=True,preprocess=False),
735
+ gr.Interface.load(f"models/{models[296]}",live=True,preprocess=False),
736
+ gr.Interface.load(f"models/{models[297]}",live=True,preprocess=False),
737
+ gr.Interface.load(f"models/{models[298]}",live=True,preprocess=False),
738
+ gr.Interface.load(f"models/{models[299]}",live=True,preprocess=False),
739
+
740
+ gr.Interface.load(f"models/{models[300]}",live=True,preprocess=False),
741
+ gr.Interface.load(f"models/{models[301]}",live=True,preprocess=False),
742
+ gr.Interface.load(f"models/{models[302]}",live=True,preprocess=False),
743
+ gr.Interface.load(f"models/{models[303]}",live=True,preprocess=False),
744
+ gr.Interface.load(f"models/{models[304]}",live=True,preprocess=False),
745
+ gr.Interface.load(f"models/{models[305]}",live=True,preprocess=False),
746
+ gr.Interface.load(f"models/{models[306]}",live=True,preprocess=False),
747
+ gr.Interface.load(f"models/{models[307]}",live=True,preprocess=False),
748
+ gr.Interface.load(f"models/{models[308]}",live=True,preprocess=False),
749
+ gr.Interface.load(f"models/{models[309]}",live=True,preprocess=False),
750
+
751
+ gr.Interface.load(f"models/{models[310]}",live=True,preprocess=False),
752
+ gr.Interface.load(f"models/{models[311]}",live=True,preprocess=False),
753
+ gr.Interface.load(f"models/{models[312]}",live=True,preprocess=False),
754
+ gr.Interface.load(f"models/{models[313]}",live=True,preprocess=False),
755
+ gr.Interface.load(f"models/{models[314]}",live=True,preprocess=False),
756
+ gr.Interface.load(f"models/{models[315]}",live=True,preprocess=False),
757
+ gr.Interface.load(f"models/{models[316]}",live=True,preprocess=False),
758
+ gr.Interface.load(f"models/{models[317]}",live=True,preprocess=False),
759
+ gr.Interface.load(f"models/{models[318]}",live=True,preprocess=False),
760
+ gr.Interface.load(f"models/{models[319]}",live=True,preprocess=False),
761
+
762
+ gr.Interface.load(f"models/{models[320]}",live=True,preprocess=False),
763
+ gr.Interface.load(f"models/{models[321]}",live=True,preprocess=False),
764
+ gr.Interface.load(f"models/{models[322]}",live=True,preprocess=False),
765
+ gr.Interface.load(f"models/{models[323]}",live=True,preprocess=False),
766
+ gr.Interface.load(f"models/{models[324]}",live=True,preprocess=False),
767
+ gr.Interface.load(f"models/{models[325]}",live=True,preprocess=False),
768
+ gr.Interface.load(f"models/{models[326]}",live=True,preprocess=False),
769
+ gr.Interface.load(f"models/{models[327]}",live=True,preprocess=False),
770
+ gr.Interface.load(f"models/{models[328]}",live=True,preprocess=False),
771
+ gr.Interface.load(f"models/{models[329]}",live=True,preprocess=False),
772
+
773
+ gr.Interface.load(f"models/{models[330]}",live=True,preprocess=False),
774
+ gr.Interface.load(f"models/{models[331]}",live=True,preprocess=False),
775
+ gr.Interface.load(f"models/{models[332]}",live=True,preprocess=False),
776
+ gr.Interface.load(f"models/{models[333]}",live=True,preprocess=False),
777
+ gr.Interface.load(f"models/{models[334]}",live=True,preprocess=False),
778
+ gr.Interface.load(f"models/{models[335]}",live=True,preprocess=False),
779
+ gr.Interface.load(f"models/{models[336]}",live=True,preprocess=False),
780
+ gr.Interface.load(f"models/{models[337]}",live=True,preprocess=False),
781
+ gr.Interface.load(f"models/{models[338]}",live=True,preprocess=False),
782
+ gr.Interface.load(f"models/{models[339]}",live=True,preprocess=False),
783
+
784
+ gr.Interface.load(f"models/{models[340]}",live=True,preprocess=False),
785
+ gr.Interface.load(f"models/{models[341]}",live=True,preprocess=False),
786
+ gr.Interface.load(f"models/{models[342]}",live=True,preprocess=False),
787
+ gr.Interface.load(f"models/{models[343]}",live=True,preprocess=False),
788
+ gr.Interface.load(f"models/{models[344]}",live=True,preprocess=False),
789
+ gr.Interface.load(f"models/{models[345]}",live=True,preprocess=False),
790
+ gr.Interface.load(f"models/{models[346]}",live=True,preprocess=False),
791
+ gr.Interface.load(f"models/{models[347]}",live=True,preprocess=False),
792
+ gr.Interface.load(f"models/{models[348]}",live=True,preprocess=False),
793
+ gr.Interface.load(f"models/{models[349]}",live=True,preprocess=False),
794
+ gr.Interface.load(f"models/{models[350]}",live=True,preprocess=False),
795
+
796
+ gr.Interface.load(f"models/{models[351]}",live=True,preprocess=False),
797
+ gr.Interface.load(f"models/{models[352]}",live=True,preprocess=False),
798
+ gr.Interface.load(f"models/{models[353]}",live=True,preprocess=False),
799
+ gr.Interface.load(f"models/{models[354]}",live=True,preprocess=False),
800
+ gr.Interface.load(f"models/{models[355]}",live=True,preprocess=False),
801
+ gr.Interface.load(f"models/{models[356]}",live=True,preprocess=False),
802
+ gr.Interface.load(f"models/{models[357]}",live=True,preprocess=False),
803
+ gr.Interface.load(f"models/{models[358]}",live=True,preprocess=False),
804
+ gr.Interface.load(f"models/{models[359]}",live=True,preprocess=False),
805
+
806
+ gr.Interface.load(f"models/{models[360]}",live=True,preprocess=False),
807
+ gr.Interface.load(f"models/{models[361]}",live=True,preprocess=False),
808
+ gr.Interface.load(f"models/{models[362]}",live=True,preprocess=False),
809
+ gr.Interface.load(f"models/{models[363]}",live=True,preprocess=False),
810
+ gr.Interface.load(f"models/{models[364]}",live=True,preprocess=False),
811
+ gr.Interface.load(f"models/{models[365]}",live=True,preprocess=False),
812
+ gr.Interface.load(f"models/{models[366]}",live=True,preprocess=False),
813
+ gr.Interface.load(f"models/{models[367]}",live=True,preprocess=False),
814
+ gr.Interface.load(f"models/{models[368]}",live=True,preprocess=False),
815
+ gr.Interface.load(f"models/{models[369]}",live=True,preprocess=False),
816
+
817
+ gr.Interface.load(f"models/{models[370]}",live=True,preprocess=False),
818
+ gr.Interface.load(f"models/{models[371]}",live=True,preprocess=False),
819
+ gr.Interface.load(f"models/{models[372]}",live=True,preprocess=False),
820
+ gr.Interface.load(f"models/{models[373]}",live=True,preprocess=False),
821
+ gr.Interface.load(f"models/{models[374]}",live=True,preprocess=False),
822
+ gr.Interface.load(f"models/{models[375]}",live=True,preprocess=False),
823
+ gr.Interface.load(f"models/{models[376]}",live=True,preprocess=False),
824
+ gr.Interface.load(f"models/{models[377]}",live=True,preprocess=False),
825
+ gr.Interface.load(f"models/{models[378]}",live=True,preprocess=False),
826
+ gr.Interface.load(f"models/{models[379]}",live=True,preprocess=False),
827
+
828
+ gr.Interface.load(f"models/{models[380]}",live=True,preprocess=False),
829
+ gr.Interface.load(f"models/{models[381]}",live=True,preprocess=False),
830
+ gr.Interface.load(f"models/{models[382]}",live=True,preprocess=False),
831
+ gr.Interface.load(f"models/{models[383]}",live=True,preprocess=False),
832
+ gr.Interface.load(f"models/{models[384]}",live=True,preprocess=False),
833
+ gr.Interface.load(f"models/{models[385]}",live=True,preprocess=False),
834
+ gr.Interface.load(f"models/{models[386]}",live=True,preprocess=False),
835
+ gr.Interface.load(f"models/{models[387]}",live=True,preprocess=False),
836
+ #gr.Interface.load(f"models/{models[388]}",live=True,preprocess=False),
837
+ #gr.Interface.load(f"models/{models[389]}",live=True,preprocess=False),
838
+ ]
839
+
840
+
841
+ def text_it1(inputs,text_gen1=text_gen1):
842
+ go_t1=text_gen1(inputs)
843
+ return(go_t1)
844
+
845
+ def set_model(current_model):
846
+ current_model = models[current_model]
847
+ return gr.update(label=(f"{current_model}"))
848
+
849
+
850
+ def send_it1(inputs, model_choice):
851
+ proc1=models2[model_choice]
852
+ output1=proc1(inputs)
853
+ return(output1)
854
+ css=""""""
855
+
856
+
857
+ with gr.Blocks(css=css) as myface:
858
+ gr.HTML("""<!DOCTYPE html>
859
+ <html lang="en">
860
+ <head>
861
+ <meta charset="utf-8" />
862
+ <meta name="twitter:card" content="player"/>
863
+ <meta name="twitter:site" content=""/>
864
+ <meta name="twitter:player" content="https://omnibus-maximum-multiplier-places.hf.space"/>
865
+ <meta name="twitter:player:stream" content="https://omnibus-maximum-multiplier-places.hf.space"/>
866
+ <meta name="twitter:player:width" content="100%"/>
867
+ <meta name="twitter:player:height" content="600"/>
868
+ <meta property="og:title" content="Embedded Live Viewer"/>
869
+ <meta property="og:description" content="Tweet Genie - A Huggingface Space"/>
870
+ <meta property="og:image" content="https://cdn.glitch.global/80dbe92e-ce75-44af-84d5-74a2e21e9e55/omnicard.png?v=1676772531627"/>
871
+ <!--<meta http-equiv="refresh" content="0; url=https://huggingface.co/spaces/corbt/tweet-genie">-->
872
+
873
+ </head>
874
+
875
+ </html>
876
+ """)
877
+ with gr.Row():
878
+ with gr.Tab("Title"):
879
+ gr.HTML(""" <title>Minimum Multiplier</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
880
+ <h1>Fill the Textbox at the top and click Generate Image</h1>
881
+ <br><h4>The first time you load a model it takes 200 seconds</h4>
882
+ <br><h4>But after it loads each image takes 20 seconds to generate!</h4>
883
+
884
+ """)
885
+
886
+ with gr.Tab("Description"):
887
+ gr.HTML("""<div style="text-align:center;">
888
+ <h4>As many Text-to-Image Models as I can fit here</h4><br>
889
+ <h4>Suggest more up in the "Community" button</h4>
890
+
891
+ </div>""")
892
+
893
+ with gr.Tab("Tools"):
894
+ with gr.Tab("View"):
895
+ with gr.Row():
896
+ with gr.Column(style="width=50%, height=70%"):
897
+ gr.Pil(label="Crop")
898
+ with gr.Column(style="width=50%, height=70%"):
899
+ gr.Pil(label="Crop")
900
+
901
+
902
+ with gr.Tab("Draw"):
903
+ with gr.Column(style="width=50%, height=70%"):
904
+ gr.Pil(label="Crop")
905
+ with gr.Column(style="width=50%, height=70%"):
906
+ gr.Pil(label="Draw")
907
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
908
 
909
+ gr.ImagePaint(label="Draw")
910
+
911
+ with gr.Tab("Text"):
912
+ with gr.Row():
913
+
914
+ with gr.Column(scale=50):
915
+ gr.Textbox(label="", lines=8, interactive=True)
916
+
917
+
918
+ with gr.Column(scale=50):
919
+ gr.Textbox(label="", lines=8, interactive=True)
920
+
921
+ with gr.Tab("Color Picker"):
922
+ with gr.Row():
923
+
924
+ with gr.Column(scale=50):
925
+ gr.ColorPicker(label="Color", interactive=True)
926
+
927
+
928
+ with gr.Column(scale=50):
929
+ gr.ImagePaint(label="Draw", interactive=True)
930
+ with gr.Row():
931
+ with gr.Column(scale=100):
932
+ magic1=gr.Textbox(lines=4)
933
+ run=gr.Button("Generate Image")
934
+ with gr.Row():
935
+ with gr.Column(scale=100):
936
+ #Model selection dropdown
937
+ model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True)
938
+ with gr.Row():
939
+ with gr.Column(style="width=800px"):
940
+ output1=gr.Image(label=(f"{current_model}"))
941
+
942
+
943
+ with gr.Row():
944
+ with gr.Column(scale=50):
945
+ input_text=gr.Textbox(label="Prompt Idea",lines=2)
946
+ use_short=gr.Button("Use Short Prompt")
947
+ see_prompts=gr.Button("Extend Idea")
948
+
949
+
950
+ def short_prompt(inputs):
951
+ return(inputs)
952
+
953
+ model_name1.change(set_model,inputs=model_name1,outputs=[output1])
954
+
955
+ run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
956
+
957
+ use_short.click(short_prompt,inputs=[input_text],outputs=magic1)
958
+
959
+ see_prompts.click(text_it1,inputs=[input_text],outputs=magic1)
960
+
961
+ myface.queue(concurrency_count=200)
962
+ myface.launch(inline=True, show_api=False, max_threads=400)
error.png DELETED

Git LFS Details

  • SHA256: 7424b99cd432ab3f4b03c6c84338c0e2887425780734abc06defa433e294aa46
  • Pointer size: 131 Bytes
  • Size of remote file: 342 kB
error_.png DELETED

Git LFS Details

  • SHA256: 4bb410979331f7ddd7de3c8fe3085b602691f021ea36a29aa6fc6c607f3033af
  • Pointer size: 132 Bytes
  • Size of remote file: 1.09 MB
externalmod.py DELETED
@@ -1,585 +0,0 @@
1
- """This module should not be used directly as its API is subject to change. Instead,
2
- use the `gr.Blocks.load()` or `gr.load()` functions."""
3
-
4
- from __future__ import annotations
5
-
6
- import json
7
- import os
8
- import re
9
- import tempfile
10
- import warnings
11
- from pathlib import Path
12
- from typing import TYPE_CHECKING, Callable, Literal
13
-
14
- import httpx
15
- import huggingface_hub
16
- from gradio_client import Client
17
- from gradio_client.client import Endpoint
18
- from gradio_client.documentation import document
19
- from packaging import version
20
-
21
- import gradio
22
- from gradio import components, external_utils, utils
23
- from gradio.context import Context
24
- from gradio.exceptions import (
25
- GradioVersionIncompatibleError,
26
- ModelNotFoundError,
27
- TooManyRequestsError,
28
- )
29
- from gradio.processing_utils import save_base64_to_cache, to_binary
30
-
31
- if TYPE_CHECKING:
32
- from gradio.blocks import Blocks
33
- from gradio.interface import Interface
34
-
35
-
36
- HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
37
- server_timeout = 600
38
-
39
-
40
- @document()
41
- def load(
42
- name: str,
43
- src: str | None = None,
44
- hf_token: str | Literal[False] | None = None,
45
- alias: str | None = None,
46
- **kwargs,
47
- ) -> Blocks:
48
- """
49
- Constructs a demo from a Hugging Face repo. Can accept model repos (if src is "models") or Space repos (if src is "spaces"). The input
50
- and output components are automatically loaded from the repo. Note that if a Space is loaded, certain high-level attributes of the Blocks (e.g.
51
- custom `css`, `js`, and `head` attributes) will not be loaded.
52
- Parameters:
53
- name: the name of the model (e.g. "gpt2" or "facebook/bart-base") or space (e.g. "flax-community/spanish-gpt2"), can include the `src` as prefix (e.g. "models/facebook/bart-base")
54
- src: the source of the model: `models` or `spaces` (or leave empty if source is provided as a prefix in `name`)
55
- hf_token: optional access token for loading private Hugging Face Hub models or spaces. Will default to the locally saved token if not provided. Pass `token=False` if you don't want to send your token to the server. Find your token here: https://huggingface.co/settings/tokens. Warning: only provide a token if you are loading a trusted private Space as it can be read by the Space you are loading.
56
- alias: optional string used as the name of the loaded model instead of the default name (only applies if loading a Space running Gradio 2.x)
57
- Returns:
58
- a Gradio Blocks object for the given model
59
- Example:
60
- import gradio as gr
61
- demo = gr.load("gradio/question-answering", src="spaces")
62
- demo.launch()
63
- """
64
- return load_blocks_from_repo(
65
- name=name, src=src, hf_token=hf_token, alias=alias, **kwargs
66
- )
67
-
68
-
69
- def load_blocks_from_repo(
70
- name: str,
71
- src: str | None = None,
72
- hf_token: str | Literal[False] | None = None,
73
- alias: str | None = None,
74
- **kwargs,
75
- ) -> Blocks:
76
- """Creates and returns a Blocks instance from a Hugging Face model or Space repo."""
77
- if src is None:
78
- # Separate the repo type (e.g. "model") from repo name (e.g. "google/vit-base-patch16-224")
79
- tokens = name.split("/")
80
- if len(tokens) <= 1:
81
- raise ValueError(
82
- "Either `src` parameter must be provided, or `name` must be formatted as {src}/{repo name}"
83
- )
84
- src = tokens[0]
85
- name = "/".join(tokens[1:])
86
-
87
- factory_methods: dict[str, Callable] = {
88
- # for each repo type, we have a method that returns the Interface given the model name & optionally an hf_token
89
- "huggingface": from_model,
90
- "models": from_model,
91
- "spaces": from_spaces,
92
- }
93
- if src.lower() not in factory_methods:
94
- raise ValueError(f"parameter: src must be one of {factory_methods.keys()}")
95
-
96
- if hf_token is not None and hf_token is not False:
97
- if Context.hf_token is not None and Context.hf_token != hf_token:
98
- warnings.warn(
99
- """You are loading a model/Space with a different access token than the one you used to load a previous model/Space. This is not recommended, as it may cause unexpected behavior."""
100
- )
101
- Context.hf_token = hf_token
102
-
103
- blocks: gradio.Blocks = factory_methods[src](name, hf_token, alias, **kwargs)
104
- return blocks
105
-
106
-
107
- def from_model(
108
- model_name: str, hf_token: str | Literal[False] | None, alias: str | None, **kwargs
109
- ):
110
- model_url = f"https://huggingface.co/{model_name}"
111
- api_url = f"https://api-inference.huggingface.co/models/{model_name}"
112
- print(f"Fetching model from: {model_url}")
113
-
114
- headers = (
115
- {} if hf_token in [False, None] else {"Authorization": f"Bearer {hf_token}"}
116
- )
117
- response = httpx.request("GET", api_url, headers=headers)
118
- if response.status_code != 200:
119
- raise ModelNotFoundError(
120
- f"Could not find model: {model_name}. If it is a private or gated model, please provide your Hugging Face access token (https://huggingface.co/settings/tokens) as the argument for the `hf_token` parameter."
121
- )
122
- p = response.json().get("pipeline_tag")
123
-
124
- headers["X-Wait-For-Model"] = "true"
125
- client = huggingface_hub.InferenceClient(
126
- model=model_name, headers=headers, token=hf_token, timeout=server_timeout,
127
- )
128
-
129
- # For tasks that are not yet supported by the InferenceClient
130
- GRADIO_CACHE = os.environ.get("GRADIO_TEMP_DIR") or str( # noqa: N806
131
- Path(tempfile.gettempdir()) / "gradio"
132
- )
133
-
134
- def custom_post_binary(data):
135
- data = to_binary({"path": data})
136
- response = httpx.request("POST", api_url, headers=headers, content=data)
137
- return save_base64_to_cache(
138
- external_utils.encode_to_base64(response), cache_dir=GRADIO_CACHE
139
- )
140
-
141
- preprocess = None
142
- postprocess = None
143
- examples = None
144
-
145
- # example model: ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition
146
- if p == "audio-classification":
147
- inputs = components.Audio(type="filepath", label="Input")
148
- outputs = components.Label(label="Class")
149
- postprocess = external_utils.postprocess_label
150
- examples = [
151
- "https://gradio-builds.s3.amazonaws.com/demo-files/audio_sample.wav"
152
- ]
153
- fn = client.audio_classification
154
- # example model: facebook/xm_transformer_sm_all-en
155
- elif p == "audio-to-audio":
156
- inputs = components.Audio(type="filepath", label="Input")
157
- outputs = components.Audio(label="Output")
158
- examples = [
159
- "https://gradio-builds.s3.amazonaws.com/demo-files/audio_sample.wav"
160
- ]
161
- fn = custom_post_binary
162
- # example model: facebook/wav2vec2-base-960h
163
- elif p == "automatic-speech-recognition":
164
- inputs = components.Audio(type="filepath", label="Input")
165
- outputs = components.Textbox(label="Output")
166
- examples = [
167
- "https://gradio-builds.s3.amazonaws.com/demo-files/audio_sample.wav"
168
- ]
169
- fn = client.automatic_speech_recognition
170
- # example model: microsoft/DialoGPT-medium
171
- elif p == "conversational":
172
- inputs = [
173
- components.Textbox(render=False),
174
- components.State(render=False),
175
- ]
176
- outputs = [
177
- components.Chatbot(render=False),
178
- components.State(render=False),
179
- ]
180
- examples = [["Hello World"]]
181
- preprocess = external_utils.chatbot_preprocess
182
- postprocess = external_utils.chatbot_postprocess
183
- fn = client.conversational
184
- # example model: julien-c/distilbert-feature-extraction
185
- elif p == "feature-extraction":
186
- inputs = components.Textbox(label="Input")
187
- outputs = components.Dataframe(label="Output")
188
- fn = client.feature_extraction
189
- postprocess = utils.resolve_singleton
190
- # example model: distilbert/distilbert-base-uncased
191
- elif p == "fill-mask":
192
- inputs = components.Textbox(label="Input")
193
- outputs = components.Label(label="Classification")
194
- examples = [
195
- "Hugging Face is the AI community, working together, to [MASK] the future."
196
- ]
197
- postprocess = external_utils.postprocess_mask_tokens
198
- fn = client.fill_mask
199
- # Example: google/vit-base-patch16-224
200
- elif p == "image-classification":
201
- inputs = components.Image(type="filepath", label="Input Image")
202
- outputs = components.Label(label="Classification")
203
- postprocess = external_utils.postprocess_label
204
- examples = ["https://gradio-builds.s3.amazonaws.com/demo-files/cheetah-002.jpg"]
205
- fn = client.image_classification
206
- # Example: deepset/xlm-roberta-base-squad2
207
- elif p == "question-answering":
208
- inputs = [
209
- components.Textbox(label="Question"),
210
- components.Textbox(lines=7, label="Context"),
211
- ]
212
- outputs = [
213
- components.Textbox(label="Answer"),
214
- components.Label(label="Score"),
215
- ]
216
- examples = [
217
- [
218
- "What entity was responsible for the Apollo program?",
219
- "The Apollo program, also known as Project Apollo, was the third United States human spaceflight"
220
- " program carried out by the National Aeronautics and Space Administration (NASA), which accomplished"
221
- " landing the first humans on the Moon from 1969 to 1972.",
222
- ]
223
- ]
224
- postprocess = external_utils.postprocess_question_answering
225
- fn = client.question_answering
226
- # Example: facebook/bart-large-cnn
227
- elif p == "summarization":
228
- inputs = components.Textbox(label="Input")
229
- outputs = components.Textbox(label="Summary")
230
- examples = [
231
- [
232
- "The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct."
233
- ]
234
- ]
235
- fn = client.summarization
236
- # Example: distilbert-base-uncased-finetuned-sst-2-english
237
- elif p == "text-classification":
238
- inputs = components.Textbox(label="Input")
239
- outputs = components.Label(label="Classification")
240
- examples = ["I feel great"]
241
- postprocess = external_utils.postprocess_label
242
- fn = client.text_classification
243
- # Example: gpt2
244
- elif p == "text-generation":
245
- inputs = components.Textbox(label="Text")
246
- outputs = inputs
247
- examples = ["Once upon a time"]
248
- fn = external_utils.text_generation_wrapper(client)
249
- # Example: valhalla/t5-small-qa-qg-hl
250
- elif p == "text2text-generation":
251
- inputs = components.Textbox(label="Input")
252
- outputs = components.Textbox(label="Generated Text")
253
- examples = ["Translate English to Arabic: How are you?"]
254
- fn = client.text_generation
255
- # Example: Helsinki-NLP/opus-mt-en-ar
256
- elif p == "translation":
257
- inputs = components.Textbox(label="Input")
258
- outputs = components.Textbox(label="Translation")
259
- examples = ["Hello, how are you?"]
260
- fn = client.translation
261
- # Example: facebook/bart-large-mnli
262
- elif p == "zero-shot-classification":
263
- inputs = [
264
- components.Textbox(label="Input"),
265
- components.Textbox(label="Possible class names (" "comma-separated)"),
266
- components.Checkbox(label="Allow multiple true classes"),
267
- ]
268
- outputs = components.Label(label="Classification")
269
- postprocess = external_utils.postprocess_label
270
- examples = [["I feel great", "happy, sad", False]]
271
- fn = external_utils.zero_shot_classification_wrapper(client)
272
- # Example: sentence-transformers/distilbert-base-nli-stsb-mean-tokens
273
- elif p == "sentence-similarity":
274
- inputs = [
275
- components.Textbox(
276
- label="Source Sentence",
277
- placeholder="Enter an original sentence",
278
- ),
279
- components.Textbox(
280
- lines=7,
281
- placeholder="Sentences to compare to -- separate each sentence by a newline",
282
- label="Sentences to compare to",
283
- ),
284
- ]
285
- outputs = components.JSON(label="Similarity scores")
286
- examples = [["That is a happy person", "That person is very happy"]]
287
- fn = external_utils.sentence_similarity_wrapper(client)
288
- # Example: julien-c/ljspeech_tts_train_tacotron2_raw_phn_tacotron_g2p_en_no_space_train
289
- elif p == "text-to-speech":
290
- inputs = components.Textbox(label="Input")
291
- outputs = components.Audio(label="Audio")
292
- examples = ["Hello, how are you?"]
293
- fn = client.text_to_speech
294
- # example model: osanseviero/BigGAN-deep-128
295
- elif p == "text-to-image":
296
- inputs = components.Textbox(label="Input")
297
- outputs = components.Image(label="Output")
298
- examples = ["A beautiful sunset"]
299
- fn = client.text_to_image
300
- # example model: huggingface-course/bert-finetuned-ner
301
- elif p == "token-classification":
302
- inputs = components.Textbox(label="Input")
303
- outputs = components.HighlightedText(label="Output")
304
- examples = [
305
- "Hugging Face is a company based in Paris and New York City that acquired Gradio in 2021."
306
- ]
307
- fn = external_utils.token_classification_wrapper(client)
308
- # example model: impira/layoutlm-document-qa
309
- elif p == "document-question-answering":
310
- inputs = [
311
- components.Image(type="filepath", label="Input Document"),
312
- components.Textbox(label="Question"),
313
- ]
314
- postprocess = external_utils.postprocess_label
315
- outputs = components.Label(label="Label")
316
- fn = client.document_question_answering
317
- # example model: dandelin/vilt-b32-finetuned-vqa
318
- elif p == "visual-question-answering":
319
- inputs = [
320
- components.Image(type="filepath", label="Input Image"),
321
- components.Textbox(label="Question"),
322
- ]
323
- outputs = components.Label(label="Label")
324
- postprocess = external_utils.postprocess_visual_question_answering
325
- examples = [
326
- [
327
- "https://gradio-builds.s3.amazonaws.com/demo-files/cheetah-002.jpg",
328
- "What animal is in the image?",
329
- ]
330
- ]
331
- fn = client.visual_question_answering
332
- # example model: Salesforce/blip-image-captioning-base
333
- elif p == "image-to-text":
334
- inputs = components.Image(type="filepath", label="Input Image")
335
- outputs = components.Textbox(label="Generated Text")
336
- examples = ["https://gradio-builds.s3.amazonaws.com/demo-files/cheetah-002.jpg"]
337
- fn = client.image_to_text
338
- # example model: rajistics/autotrain-Adult-934630783
339
- elif p in ["tabular-classification", "tabular-regression"]:
340
- examples = external_utils.get_tabular_examples(model_name)
341
- col_names, examples = external_utils.cols_to_rows(examples) # type: ignore
342
- examples = [[examples]] if examples else None
343
- inputs = components.Dataframe(
344
- label="Input Rows",
345
- type="pandas",
346
- headers=col_names,
347
- col_count=(len(col_names), "fixed"),
348
- render=False,
349
- )
350
- outputs = components.Dataframe(
351
- label="Predictions", type="array", headers=["prediction"]
352
- )
353
- fn = external_utils.tabular_wrapper
354
- # example model: microsoft/table-transformer-detection
355
- elif p == "object-detection":
356
- inputs = components.Image(type="filepath", label="Input Image")
357
- outputs = components.AnnotatedImage(label="Annotations")
358
- fn = external_utils.object_detection_wrapper(client)
359
- # example model: stabilityai/stable-diffusion-xl-refiner-1.0
360
- elif p == "image-to-image":
361
- inputs = [
362
- components.Image(type="filepath", label="Input Image"),
363
- components.Textbox(label="Input"),
364
- ]
365
- outputs = components.Image(label="Output")
366
- examples = [
367
- [
368
- "https://gradio-builds.s3.amazonaws.com/demo-files/cheetah-002.jpg",
369
- "Photo of a cheetah with green eyes",
370
- ]
371
- ]
372
- fn = client.image_to_image
373
- else:
374
- raise ValueError(f"Unsupported pipeline type: {p}")
375
-
376
- def query_huggingface_inference_endpoints(*data, **kwargs):
377
- if preprocess is not None:
378
- data = preprocess(*data)
379
- try:
380
- data = fn(*data, **kwargs) # type: ignore
381
- except huggingface_hub.utils.HfHubHTTPError as e:
382
- if "429" in str(e):
383
- raise TooManyRequestsError() from e
384
- if postprocess is not None:
385
- data = postprocess(data) # type: ignore
386
- return data
387
-
388
- query_huggingface_inference_endpoints.__name__ = alias or model_name
389
-
390
- interface_info = {
391
- "fn": query_huggingface_inference_endpoints,
392
- "inputs": inputs,
393
- "outputs": outputs,
394
- "title": model_name,
395
- #"examples": examples,
396
- }
397
-
398
- kwargs = dict(interface_info, **kwargs)
399
- interface = gradio.Interface(**kwargs)
400
- return interface
401
-
402
-
403
- def from_spaces(
404
- space_name: str, hf_token: str | None, alias: str | None, **kwargs
405
- ) -> Blocks:
406
- space_url = f"https://huggingface.co/spaces/{space_name}"
407
-
408
- print(f"Fetching Space from: {space_url}")
409
-
410
- headers = {}
411
- if hf_token not in [False, None]:
412
- headers["Authorization"] = f"Bearer {hf_token}"
413
-
414
- iframe_url = (
415
- httpx.get(
416
- f"https://huggingface.co/api/spaces/{space_name}/host", headers=headers
417
- )
418
- .json()
419
- .get("host")
420
- )
421
-
422
- if iframe_url is None:
423
- raise ValueError(
424
- f"Could not find Space: {space_name}. If it is a private or gated Space, please provide your Hugging Face access token (https://huggingface.co/settings/tokens) as the argument for the `hf_token` parameter."
425
- )
426
-
427
- r = httpx.get(iframe_url, headers=headers)
428
-
429
- result = re.search(
430
- r"window.gradio_config = (.*?);[\s]*</script>", r.text
431
- ) # some basic regex to extract the config
432
- try:
433
- config = json.loads(result.group(1)) # type: ignore
434
- except AttributeError as ae:
435
- raise ValueError(f"Could not load the Space: {space_name}") from ae
436
- if "allow_flagging" in config: # Create an Interface for Gradio 2.x Spaces
437
- return from_spaces_interface(
438
- space_name, config, alias, hf_token, iframe_url, **kwargs
439
- )
440
- else: # Create a Blocks for Gradio 3.x Spaces
441
- if kwargs:
442
- warnings.warn(
443
- "You cannot override parameters for this Space by passing in kwargs. "
444
- "Instead, please load the Space as a function and use it to create a "
445
- "Blocks or Interface locally. You may find this Guide helpful: "
446
- "https://gradio.app/using_blocks_like_functions/"
447
- )
448
- return from_spaces_blocks(space=space_name, hf_token=hf_token)
449
-
450
-
451
- def from_spaces_blocks(space: str, hf_token: str | None) -> Blocks:
452
- client = Client(
453
- space,
454
- hf_token=hf_token,
455
- download_files=False,
456
- _skip_components=False,
457
- )
458
- # We set deserialize to False to avoid downloading output files from the server.
459
- # Instead, we serve them as URLs using the /proxy/ endpoint directly from the server.
460
-
461
- if client.app_version < version.Version("4.0.0b14"):
462
- raise GradioVersionIncompatibleError(
463
- f"Gradio version 4.x cannot load spaces with versions less than 4.x ({client.app_version})."
464
- "Please downgrade to version 3 to load this space."
465
- )
466
-
467
- # Use end_to_end_fn here to properly upload/download all files
468
- predict_fns = []
469
- for fn_index, endpoint in client.endpoints.items():
470
- if not isinstance(endpoint, Endpoint):
471
- raise TypeError(
472
- f"Expected endpoint to be an Endpoint, but got {type(endpoint)}"
473
- )
474
- helper = client.new_helper(fn_index)
475
- if endpoint.backend_fn:
476
- predict_fns.append(endpoint.make_end_to_end_fn(helper))
477
- else:
478
- predict_fns.append(None)
479
- return gradio.Blocks.from_config(client.config, predict_fns, client.src) # type: ignore
480
-
481
-
482
- def from_spaces_interface(
483
- model_name: str,
484
- config: dict,
485
- alias: str | None,
486
- hf_token: str | None,
487
- iframe_url: str,
488
- **kwargs,
489
- ) -> Interface:
490
- config = external_utils.streamline_spaces_interface(config)
491
- api_url = f"{iframe_url}/api/predict/"
492
- headers = {"Content-Type": "application/json"}
493
- if hf_token not in [False, None]:
494
- headers["Authorization"] = f"Bearer {hf_token}"
495
-
496
- # The function should call the API with preprocessed data
497
- def fn(*data):
498
- data = json.dumps({"data": data})
499
- response = httpx.post(api_url, headers=headers, data=data) # type: ignore
500
- result = json.loads(response.content.decode("utf-8"))
501
- if "error" in result and "429" in result["error"]:
502
- raise TooManyRequestsError("Too many requests to the Hugging Face API")
503
- try:
504
- output = result["data"]
505
- except KeyError as ke:
506
- raise KeyError(
507
- f"Could not find 'data' key in response from external Space. Response received: {result}"
508
- ) from ke
509
- if (
510
- len(config["outputs"]) == 1
511
- ): # if the fn is supposed to return a single value, pop it
512
- output = output[0]
513
- if (
514
- len(config["outputs"]) == 1 and isinstance(output, list)
515
- ): # Needed to support Output.Image() returning bounding boxes as well (TODO: handle different versions of gradio since they have slightly different APIs)
516
- output = output[0]
517
- return output
518
-
519
- fn.__name__ = alias if (alias is not None) else model_name
520
- config["fn"] = fn
521
-
522
- kwargs = dict(config, **kwargs)
523
- kwargs["_api_mode"] = True
524
- interface = gradio.Interface(**kwargs)
525
- return interface
526
-
527
-
528
- def gr_Interface_load(
529
- name: str,
530
- src: str | None = None,
531
- hf_token: str | None = None,
532
- alias: str | None = None,
533
- **kwargs, # ignore
534
- ) -> Blocks:
535
- try:
536
- return load_blocks_from_repo(name, src, hf_token, alias)
537
- except Exception as e:
538
- print(e)
539
- return gradio.Interface(lambda: None, ['text'], ['image'])
540
-
541
-
542
- def list_uniq(l):
543
- return sorted(set(l), key=l.index)
544
-
545
-
546
- def get_status(model_name: str):
547
- from huggingface_hub import AsyncInferenceClient
548
- client = AsyncInferenceClient(token=HF_TOKEN, timeout=10)
549
- return client.get_model_status(model_name)
550
-
551
-
552
- def is_loadable(model_name: str, force_gpu: bool = False):
553
- try:
554
- status = get_status(model_name)
555
- except Exception as e:
556
- print(e)
557
- print(f"Couldn't load {model_name}.")
558
- return False
559
- gpu_state = isinstance(status.compute_type, dict) and "gpu" in status.compute_type.keys()
560
- if status is None or status.state not in ["Loadable", "Loaded"] or (force_gpu and not gpu_state):
561
- print(f"Couldn't load {model_name}. Model state:'{status.state}', GPU:{gpu_state}")
562
- return status is not None and status.state in ["Loadable", "Loaded"] and (not force_gpu or gpu_state)
563
-
564
-
565
- def find_model_list(author: str="", tags: list[str]=[], not_tag="", sort: str="last_modified", limit: int=30, force_gpu=False, check_status=False):
566
- from huggingface_hub import HfApi
567
- api = HfApi(token=HF_TOKEN)
568
- default_tags = ["diffusers"]
569
- if not sort: sort = "last_modified"
570
- limit = limit * 20 if check_status and force_gpu else limit * 5
571
- models = []
572
- try:
573
- model_infos = api.list_models(author=author, #task="text-to-image",
574
- tags=list_uniq(default_tags + tags), cardData=True, sort=sort, limit=limit)
575
- except Exception as e:
576
- print(f"Error: Failed to list models.")
577
- print(e)
578
- return models
579
- for model in model_infos:
580
- if not model.private and not model.gated or HF_TOKEN is not None:
581
- loadable = is_loadable(model.id, force_gpu) if check_status else True
582
- if not_tag and not_tag in model.tags or not loadable: continue
583
- models.append(model.id)
584
- if len(models) == limit: break
585
- return models
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
requirements.txt DELETED
@@ -1 +0,0 @@
1
- huggingface_hub==0.26.2
 
 
style.css DELETED
@@ -1,3 +0,0 @@
1
- .gradio-container {
2
- background-image: linear-gradient(#660099, #000000) !important;
3
- }