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  1. NEW.webp +0 -0
  2. README.md +6 -6
  3. all_models.py +0 -1006
  4. app.py +948 -160
  5. externalmod.py +0 -585
  6. style.css +0 -3
NEW.webp DELETED
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README.md CHANGED
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  ---
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- title: 960 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: Compare up to 6 image models!
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  ---
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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
@@ -1,1006 +0,0 @@
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- models = [
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- "Yntec/AnimeEIGHTIES", #959
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- "black-forest-labs/FLUX.1-dev", #951
4
- "Yntec/3rdComing", #956
5
- "stabilityai/stable-diffusion-3.5-large", #940
6
- "Yntec/OpenDiffusion", #960
7
- "digiplay/fantexi_v0.9",
8
- "Yntec/Vector", #953
9
- "digiplay/fantasticmix2.5D_v4.0",
10
- "Yntec/XenoGASM-MK2", #958
11
- "digiplay/HIJKLMix_v1", #957
12
- "Yntec/Veritas", #952
13
- "digiplay/OldFish_v1.1",
14
- "Yntec/HiFi", #949
15
- "digiplay/bluePencilRealistic_v05",
16
- "Yntec/Items", #955
17
- "digiplay/A80S_v1.0",
18
- "Yntec/Ghibli", #947
19
- "digiplay/VoidnoiseCore_R0829",
20
- "Yntec/VectorArtz", #950
21
- "digiplay/mothmix_v1.41", #720
22
- "Yntec/Aurantium", #946
23
- "digiplay/fantasticmix_v65_test",
24
- "Yntec/AnotherFineMess-SD2.1", #944
25
- "digiplay/NextPhoto_v1",
26
- "Yntec/SPYBGsToolkit", #948
27
- "digiplay/FormCleansingMix_v1", #228
28
- "Yntec/GhibliDiffusion", #945
29
- "digiplay/ya3_VAE",
30
- "Yntec/Lunatic", #942
31
- "artificialguybr/freedom", #938
32
- "Yntec/365", #939
33
- "digiplay/lutDiffusion_v09Beta",
34
- "Yntec/DarksideRemix", #936
35
- "digiplay/highQualityCGMIX_v1",
36
- "Yntec/AliveAndKicking", #935
37
- "digiplay/RunDiffusionFX2.5D_v1_diffusers",
38
- "Yntec/DucHaitenDarkside4",
39
- "digiplay/ChikMix_V3", #253
40
- "Yntec/XP3D", #935
41
- "digiplay/mecha_musume_vivid_soft",
42
- "Yntec/ReVive", #933
43
- "digiplay/VersaMix_base_diffusers",
44
- "Yntec/HarukaChibiArt", #932
45
- "digiplay/AingDiffusion8",
46
- "Yntec/Lexicon", #929
47
- "digiplay/YabaLMixTrue25D_V1.0", ##900
48
- "Yntec/JustForKicks", #925
49
- "digiplay/Sudachi_diffusers",
50
- "Yntec/RealTime", #924
51
- "digiplay/MeinaMix_v7",
52
- "Yntec/WesternCartoon", #935
53
- "digiplay/PolyMorphMix",
54
- "Yntec/f222", #930
55
- "digiplay/MGM",
56
- "Yntec/PopCorn", #923
57
- "digiplay/asyncsMIX_v5",
58
- "Yntec/OpenSkySLexicaAperture", #928
59
- "digiplay/Yuzu_v1.1", #688
60
- "Yntec/GrandPrix", #916
61
- "digiplay/CamelliaMIx_2.5D_v1", #692
62
- "Yntec/NostalgicWorld", #919
63
- "digiplay/CoharuMix_real",
64
- "Yntec/IncredibleOdds", #915
65
- "digiplay/BlueberryMix_v1", #912
66
- "Yntec/Genesis", #911
67
- "digiplay/WolfSystems_v1",
68
- "Yntec/NextPhoton", #910
69
- "digiplay/AI-infinity-V1-fp16",
70
- "Yntec/LadyNostalgia", #909
71
- "digiplay/SomethingPhenomenal_vivacityV2", #735
72
- "Yntec/PicXReal", #922
73
- "digiplay/AbsoluteReality_v1.8.1",
74
- "Yntec/GameIcons3D", #921
75
- "digiplay/polla_mix_2.3D",
76
- "Yntec/Shiny3DCartoon", #914
77
- "digiplay/chrysanthemumMix_v1",
78
- "Yntec/darelitesFantasyMix", #908
79
- "digiplay/majicMIX_realistic_v1",
80
- "Yntec/handpaintedRPGIcons", #906
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- "digiplay/HIJKLMix_v2",
82
- "Yntec/MemojiRemix", #905
83
- "digiplay/Koji_v2.1_diffusers",
84
- "Yntec/StaticMVintage", #903
85
- "digiplay/ZHMix-Dramatic-v3.0",
86
- "Yntec/animeFIVEHUNDREDTWENTY-SIX", #902
87
- "digiplay/Gap",
88
- "Yntec/3DCartoonVision", #901
89
- "digiplay/SXZ_Luma_v0.98VAE",
90
- "Yntec/TwoAndAHalfDimensions", #900
91
- "digiplay/EdisonNilMix_v1", # Added 7.10 Updated 12.5
92
- "Yntec/RadiantDiversions", #899
93
- "digiplay/MengX_Mix_Fantasy_v4", #689
94
- "Yntec/RetroRetro", #897
95
- "digiplay/PlanetBumix_v1",
96
- "Yntec/ClassicToons", #897
97
- "digiplay/OnlyReal-Black-Mix",
98
- "Yntec/Disneyify", #896
99
- "black-forest-labs/FLUX.1-schnell", #876
100
- "digiplay/supashymix_v30Lite", #701
101
- "Yntec/epiCEpic", #889
102
- "LostMedia/RetroDiffusion", #894
103
- "Yntec/QGO", #893
104
- "digiplay/seizamix_v2", #706
105
- "Yntec/PixelKicks", #895
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- "digiplay/majicMIX_lux_v3", #708
107
- "Yntec/VisionVision", #888
108
- "LostMedia/0-1982-1084-0065", #892
109
- "Yntec/m0nst3rfy3",
110
- "digiplay/fantasticAnime_diffusers",
111
- "Yntec/photographerAlpha7", #891
112
- "digiplay/richyrichmix_V2Fp16", #707
113
- "Yntec/ChunkyCat", #880
114
- "digiplay/dosmixVAE-mangled", #804
115
- "Yntec/TickleYourFancy", #879
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- "digiplay/fCAnimeMix_v4", #747
117
- "Yntec/realistic-vision-v13", #886
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- "John6666/naclo74models-mih-entrance-sd15", #883
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- "Yntec/ZootVision", #884
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- "digiplay/HadrianDelice_BYC1.0", #728
121
- "Yntec/breakdomain", #882
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- "digiplay/PerfectDeliberate-Anime_v1", #724
123
- "Yntec/CrystalClearRemix", ##4
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- "digiplay/BreakDro_i1464", #719
125
- "Yntec/AllRoadsLeadToRetro", #877
126
- "digiplay/OldFish_v1.1_personal_HDmix",
127
- "Yntec/AnimephilesAnonymous", #875
128
- "digiplay/CCTV2.5d_v1", #219
129
- "Yntec/InsaneSurreality", #873
130
- "digiplay/bluePencil_v09b", #766
131
- "Yntec/WinningBlunder", #868
132
- "digiplay/Colorful_v1.3", #774
133
- "Yntec/DreamlikePhotoReal2", #872
134
- "digiplay/BeenYouLiteL11_diffusers",
135
- "Yntec/Surreality", #870
136
- "digiplay/xxgSl526_v1", ##400
137
- "Yntec/beLIEve", #865
138
- "digiplay/MilkyWonderland_v1", #866
139
- "Yntec/Hyperlink", #861
140
- "digiplay/AnalogMadness-realistic-model-v5", #864
141
- "Yntec/HyperRemix", #859
142
- "digiplay/CleanLinearMix",
143
- "Yntec/realisticStockPhoto3", #863
144
- "digiplay/fishmix_other_v1",
145
- "Yntec/HyperPhotoGASM", #858
146
- "digiplay/XRYCJ_RealisticModel",
147
- "Yntec/CrystalReality", #855
148
- "John6666/meinamix-meinav11-sd15", #857
149
- "Yntec/Roleplay", #850
150
- "digiplay/ya3p_VAE", #258
151
- "Yntec/ICantBelieveItSNotPhotography", #856
152
- "digiplay/ZemiHR_v2_diffusers",
153
- "Yntec/Neurogen", #854
154
- "John6666/am-i-real-v45-sd15", #852
155
- "Yntec/lnkdn", #851
156
- "digiplay/ShadowGost_v1",
157
- "Yntec/ArtisticVision", #845
158
- "digiplay/DetailAsianRealistic_v2.5_hinablue", #849
159
- "Yntec/Chip_n_DallE", #844
160
- "digiplay/rRealism_v1.0_riiwa", #848
161
- "Yntec/ClayStyle", #838
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- "digiplay/TWingshadow_v1.0", #847
163
- "Yntec/HassanRemix",
164
- "digiplay/TWingshadow_v1.0_finetune", #846
165
- "Yntec/Reddit",
166
- "digiplay/V3_by_Hans_Asian",
167
- "Yntec/CinematicReality",
168
- "digiplay/Maji5PlusCCTV", #843
169
- "Yntec/3DKX2",
170
- "digiplay/cosfMix_v1", #223
171
- "Yntec/Epsilon_Naught", #831
172
- "digiplay/LusterMix_v1.5_safetensors", #256
173
- "Yntec/TrueSight", #841
174
- "digiplay/XtReMixUltimateMerge_v1.8", #840
175
- "Yntec/epiCDream", #839
176
- "digiplay/counterfeitV2525d_tweak",
177
- "Yntec/Ponygraphy", #827
178
- "digiplay/m3u", #263
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- "Yntec/DucHaitenGODofSIMP", #836
180
- "digiplay/STRANGER-ANIME", #835
181
- "Yntec/ElldrethSDaydreamMix", #834
182
- "digiplay/DonutHoleMix_Beta", #832
183
- "Yntec/DramaLlama", #820
184
- "digiplay/STRANGER", #816
185
- "Yntec/RevAnimatedV2Rebirth", #829
186
- "digiplay/KawaiiRealisticAsian_v0.7", #828
187
- "Yntec/ZootVisionEpsilon", #817
188
- "digiplay/AsianBrmBeautyrealmix_v2.0", #826
189
- "Yntec/BetterPonyDiffusion", #825
190
- "digiplay/Realisian_v6", #824
191
- "Yntec/SCMIX_NightSkyMeina", #823
192
- "digiplay/chosen-Mix", #821
193
- "Yntec/ZooFun", #815
194
- "digiplay/OnlyRealistic_v29", #819
195
- "Yntec/Wonder", #812
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- "digiplay/2K-VAE",
197
- "Yntec/WaifuDiffusion", #822
198
- "digiplay/Cetus-Mix-Codaedition_diffusers", #813
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- "Yntec/TheWonderMix", #814
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- "digiplay/HenmixArt_v1",
201
- "Yntec/MostClassical", #810
202
- "digiplay/m0nst3rfy3-testfix", #811
203
- "Yntec/DreamlikeShaper", #806
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- "Ojimi/anime-kawai-diffusion",
205
- "Yntec/DreamShaperRemix", #2K
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- "digiplay/MilkyWonderland_v2", #808
207
- "Yntec/DigitalSoul", #807
208
- "digiplay/incursiosMemeDiffusion_v1.6",
209
- "Yntec/ProjectKawai", #809
210
- "digiplay/CamelliaMix_NSFW_diffusers_v1.1", #837
211
- "Yntec/AbsoluteReality", #15K
212
- "digiplay/PikasAnimatedMix_v1", #805
213
- "Yntec/BeautyFoolRemix", #800
214
- "digiplay/yiSMix2.8D_v1", ##600
215
- "Yntec/DisneyPixarCartoon768", #803
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- "digiplay/AgainMix_v2.0", #802
217
- "Yntec/mistoonRuby3", #801
218
- "digiplay/OldFish_v1.1mix_hello",
219
- "Yntec/AtoZ", #799
220
- "digiplay/fantasticmix_k1", #797
221
- "Yntec/FilmGirlRemix", #795
222
- "digiplay/hellopure_v2.23", ##1K
223
- "Yntec/Vintage", #794
224
- "digiplay/BeautyFoolReality_4", #796
225
- "Yntec/UltraHighDefinition", #791
226
- "digiplay/endlessMixRenatus_v1.1", #Added 2023.07.10 updated 2024.05.30
227
- "Yntec/XenoGASM", #793
228
- "digiplay/DarkSushi2.5D_v1", #792
229
- "Yntec/DegreesOfFreedom", #790
230
- "digiplay/Perfect_Gap_Blend_v1",
231
- "Yntec/ChickFlick", #787
232
- "digiplay/fCAnimeMix_v3", #786
233
- "Yntec/Film", #784
234
- "digiplay/BeautifulArt_v1", #785
235
- "Yntec/AnythingV7", #779
236
- "digiplay/BadAnime_v1",
237
- "Yntec/LEOSAMsFilmGirlUltra", #783
238
- "digiplay/7pa-VAE", #782
239
- "Yntec/ArthemyComics", #781
240
- "digiplay/EtherRealMix_LUX2",
241
- "Yntec/ReVAnimatedRemix", #780
242
- "digiplay/majicMIXfantasy_v1", ##700
243
- "Yntec/AnythingNostalgic", #775
244
- "digiplay/WhiteDreamyHillMix_v1_VAE", #713
245
- "Yntec/AnyLoRa-768", #778
246
- "digiplay/CuriousMerge2.5D_v40E", #771
247
- "Yntec/AnythingV5-768", #777
248
- "digiplay/LEAU",
249
- "Yntec/Moistalgia", #773
250
- "digiplay/AnalogMadness-realistic-model-v7", #842
251
- "Yntec/DeleteThis", #770
252
- "digiplay/LemonTea2.5D",
253
- "Yntec/ModernDisney", #764
254
- "John6666/cute-illustration-style-reinforced-model-v61-sd15", #878
255
- "Yntec/IsThisDisney", #767
256
- "digiplay/MRMD_0505", #769
257
- "Yntec/RetroArt", #760
258
- "digiplay/YabaLMixAnimeRealistic_V1.0_VAE", #765
259
- "Yntec/Fanatic", #758
260
- "digiplay/fantastel_V1", #759
261
- "Yntec/Mo-Di-Diffusion-768", #768
262
- "digiplay/WhiteDreamyHillMix_v1", #220
263
- "Yntec/AnythingV4.5.6.7.8", #763
264
- "digiplay/majicMIX_realistic_v7", #761
265
- "Yntec/ElldrethsRetroMix", #4K
266
- "digiplay/LemonCreami", #762
267
- "Yntec/Luxury", #750
268
- "digiplay/insaneRealistic_v1",
269
- "Yntec/EpicMadness", #751
270
- "digiplay/ValMix2-byHemlok", #755
271
- "Yntec/DucHaitenAIart-beta", #3K
272
- "digiplay/Acorn_Photo_v1", #757
273
- "Yntec/a-ZovyaRPGV4", #756
274
- "digiplay/Gap_2.6",
275
- "Yntec/KrazyGlue", #745
276
- "digiplay/AnyPastel", #752
277
- "Yntec/EpicDiffusion", #753
278
- "digiplay/darkphoenix3D_v1.1", #748
279
- "Yntec/Crybaby", #739
280
- "digiplay/OldFish_v1.1_diffusers_recover",
281
- "digiplay/majicMIXfantasy_v2", #741
282
- "Yntec/majicmixLux", #749
283
- "digiplay/asyncsMIX_v2",
284
- "digiplay/majicMIX_realistic_v5", #742
285
- "Yntec/insaneRealistic_v2", #746
286
- "digiplay/xiaomeige_outlineColor_v10", #744
287
- "digiplay/MixTape_RocknRoll_v3punk_bake_fp16",
288
- "Yntec/AbyssOrangeMix", #740
289
- "digiplay/PerfectDeliberate-Anime_v2", #734
290
- "digiplay/XXMix_9realistic_v1",
291
- "Yntec/CocaCola", #733
292
- "digiplay/majicMixHorror_v1", #738
293
- "digiplay/Noosphere_v4.2", #737
294
- "Yntec/Fanta", #730
295
- "digiplay/K-main_NEO", #731
296
- "digiplay/COCOtiFaMix_v2", #732
297
- "Yntec/endlessReality", #736
298
- "digiplay/Blazarot_blazaroshi", #729
299
- "digiplay/Photon_v1",
300
- "Yntec/DreamPhotoGASM", #727
301
- "digiplay/Sweet-mix_v2.2_flat", #726
302
- "digiplay/snowpear_anime", #714
303
- "Yntec/NostalgicLife", #718
304
- "digiplay/pan04", #725
305
- "Yntec/Voxel", #715
306
- "digiplay/FishMix_v1.1",
307
- "digiplay/Dolka_Rusalka_v0.5.1",
308
- "Yntec/DreamlikeDiffusion", #722
309
- "digiplay/XtReMixUltimateMerge_v1.5", #710
310
- "digiplay/RealCartoon3D_v6",
311
- "Yntec/HyperRealism", #721
312
- "digiplay/CamelliaMIx_2.5D_v1_VAE", #696
313
- "digiplay/aurorafantasy_v1", #717
314
- "Yntec/Prodigy", #712
315
- "digiplay/ya3_xt", #711
316
- "Yntec/Protogen_Unofficial_Release", #709
317
- "digiplay/AnalogMadness-realistic-model-v4", #705
318
- "Yntec/Timeless", #703
319
- "digiplay/2-KWI", #213 ##900
320
- "Yntec/Fabulous", #700
321
- "digiplay/realspice_v2", #702
322
- "Yntec/DucHaitenRetro2", #704
323
- "digiplay/BeautifulFantasyRealMix_diffusers", #698
324
- "Yntec/IncredibleLife", #699
325
- "digiplay/NextGenMix_R2.8VAE",
326
- "Yntec/AnythingV3.1", #699
327
- "digiplay/AstrAnime_v6", #698
328
- "Yntec/TimelessDiffusion768", #699
329
- "digiplay/YutaMix_realistic_v11",
330
- "Yntec/RetroLife", #691
331
- "digiplay/nk15_diffusers", #230
332
- "Yntec/CuteFurry",
333
- "digiplay/NightmareShaper_v2DarkageLobotomy",
334
- "Yntec/theallysMixIIChurned", #694
335
- "digiplay/MengX_Mix_Real_v3",
336
- "Yntec/BrainDance", #693
337
- "digiplay/ARRealVX1.1",
338
- "Yntec/Remedy", #697
339
- "digiplay/Hassaku_1.3", #830
340
- "Yntec/Paramount",
341
- "digiplay/BeenReal_diffusers",
342
- "Yntec/Playground", #690
343
- "digiplay/AM-mix1",
344
- "Yntec/Analog",
345
- "digiplay/MeinaPastel_v1",
346
- "Yntec/Tea", #687
347
- "digiplay/AingDiffusion7.5",
348
- "Yntec/StableDiffusion768", #686
349
- "digiplay/perfectlevel10", #685
350
- "Yntec/IdleFancy",
351
- "digiplay/Shadir_Diffusion_AR_v2.1_fp16_test1",
352
- "Yntec/NyankoMotsiX",
353
- "digiplay/GhostMixV1.2VAE",
354
- "Yntec/DreamWorksRemix",
355
- "digiplay/LuckyStrikeMix1.05_Lovelylady",
356
- "Yntec/Looking-Glass",
357
- "digiplay/AbsoluteReality_v1.0_diffusers",
358
- "Yntec/epiCCartoon",
359
- "digiplay/quincemix_v1",
360
- "Yntec/DaintyMix",
361
- "digiplay/fantasticmix_v7",
362
- "Yntec/DucHaiten-AnyUnreal",
363
- "digiplay/OrangeChillMix_v7fix",
364
- "Yntec/Genuine",
365
- "Yntec/GoFish",
366
- "Yntec/nuipenimix",
367
- "Yntec/iffyMix",
368
- "Yntec/EmeraldCity",
369
- "Yntec/animeSIXTYNINE",
370
- "Yntec/AsianMix",
371
- "Yntec/ResidentCNZCartoon3D",
372
- "Yntec/Memento",
373
- "Yntec/RealLife",
374
- "Yntec/Vintedois",
375
- "Yntec/Based64",
376
- "Yntec/SQUEE",
377
- "Yntec/Aurora",
378
- "Yntec/Paragon",
379
- "Yntec/Infinite80s",
380
- "Yntec/InfiniteLiberty",
381
- "Yntec/aBagOfChips",
382
- "Yntec/IsThisArt",
383
- "Yntec/Jackpot",
384
- "Yntec/C-.-_-.-Aravaggio",
385
- "Yntec/Stuff",
386
- "Yntec/LiberteRedmond",
387
- "Yntec/Emoticons",
388
- "Yntec/BabeBae",
389
- "Yntec/SinkOrSwim",
390
- "Yntec/Nostalgic",
391
- "Yntec/mixRealisticFantasy",
392
- "Yntec/Astro_-_-Gemu",
393
- "John6666/cookie-run-character-style-v1-sd15-lora", #853
394
- "Yntec/StorybookRedmond",
395
- "Yntec/Cheesecake",
396
- "Yntec/GimmeDatDing",
397
- "Yntec/GenerateMe",
398
- "Yntec/Gacha",
399
- "Yntec/incha_re_zoro",
400
- "Yntec/GodMode",
401
- "Yntec/FantassifiedIcons",
402
- "Yntec/IncredibleWorld2",
403
- "Yntec/IncredibleWorld",
404
- "Yntec/TheDarkNight",
405
- "Yntec/Cryptids",
406
- "Yntec/Tantrum",
407
- "Yntec/CutesyAnime",
408
- "Yntec/HellSKitchen",
409
- "Yntec/Kitsch-In-Sync",
410
- "Yntec/La-dee-dah-.-_",
411
- "Yntec/HELLmix",
412
- "Yntec/AnalogMadness4",
413
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414
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415
- "Yntec/KomowataHaruka",
416
- "Yntec/FotoPhoto",
417
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418
- "Yntec/Reliberate",
419
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420
- "Yntec/ChilloutMix",
421
- "Yntec/Shirayuki",
422
- "Yntec/foto-assisted-diffusion",
423
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424
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425
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426
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427
- "Yntec/IronCatFateToons",
428
- "Yntec/CultClassic", #1K
429
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430
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431
- "Yntec/Synthwave",
432
- "Yntec/OG", #1k
433
- "Yntec/Crayon", #1K
434
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435
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436
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437
- "Yntec/EstheticRetroAnime", #1K
438
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439
- "Yntec/3DCuteWave",
440
- "Yntec/GoldenEra", #1K
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
- "Yntec/SamaritanDoesArt", #1K
452
- "Yntec/CinemaEros", #1K
453
- "Yntec/CartoonStyleClassic", #1K
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
- "Yntec/SuperCuteRemix", #2K
464
- "Yntec/Trending", #2K
465
- "Yntec/a-ZovyaRPGV3VAE", #3K
466
- "Yntec/StolenDreams", #3k
467
- "Yntec/LeyLines", #3k
468
- "Yntec/SillySymphonies", #3K
469
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470
- "Yntec/WoopWoopAnime", #3K
471
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472
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473
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474
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475
- "Yntec/Cute", #3K
476
- "Yntec/DreamFulV2", #3K
477
- "Yntec/Citrus", #3K
478
- "Yntec/Classic", #3K
479
- "Yntec/BasilRemix", #3K
480
- "Yntec/Yuzu", #4K
481
- "Yntec/Protogen", #4K
482
- "Yntec/BeautyFool", #4K
483
- "Yntec/CyberRealistic", #4K
484
- "Yntec/Lyriel", #4K
485
- "Yntec/3DRendering", #4K
486
- "Yntec/aMovieTrend", #2K
487
- "Yntec/Dreamscape", #2K
488
- "Yntec/elldrethSVividMix", #2K
489
- "Yntec/elldrethSLucidMix", #2K
490
- "Yntec/CitrineDreamMix", #2K
491
- "Yntec/elldrethsImagination", #2K
492
- "Yntec/ReVAnimated768", #2K
493
- "Yntec/OpenNijiRemix", #2K
494
- "Yntec/RadiantCinemagic", #2K
495
- "Yntec/RadiantVibes", #1K
496
- "Yntec/NeverEndingDream768", #2K
497
- "Yntec/vividicAnime", #2K
498
- "Yntec/WoopWoopRemix", #2K
499
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500
- "Yntec/CrystalClear", #3k
501
- "Yntec/Reanimate", #5k
502
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503
- "Yntec/526", #5k
504
- "Yntec/526Mix", #5k
505
- "Yntec/Dreamful3", #5K
506
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507
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508
- "Yntec/BrandiMilne", #6K
509
- "Yntec/dosmixVAE", #3K
510
- "Yntec/aPhotographicTrend", #3K
511
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512
- "Yntec/level4", #3K
513
- "Yntec/dreamlike-photoreal-remix", #3K
514
- "Yntec/lamettaRemix", #3K
515
- "Yntec/lametta", #2K
516
- "Yntec/AgarthaChadstyle", #7k
517
- "Yntec/DucHaitenLofi", #7k
518
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519
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520
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521
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522
- "Yntec/3Danimation", #4K
523
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524
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525
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526
- "Yntec/Dreamscapes_n_Dragonfire_v2", #4K
527
- "Yntec/Cetus", #4K
528
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529
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530
- "Yntec/Dreamlike", #3K
531
- "Yntec/AnythingV4-768", #9k
532
- "Yntec/makeitdoubleplz", #10k
533
- "Yntec/ChiliConCarne", #11k
534
- "Yntec/Dreamshaper8", #12K
535
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536
- "Yntec/Oiran", #6K
537
- "Yntec/RealCartoon3D", #6K
538
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539
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540
- "Yntec/REV", #6K
541
- "Yntec/NaughtyChildren", #6K
542
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543
- "Yntec/Thriller", #13K
544
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545
- "Yntec/Splash", #7K
546
- "Yntec/OpenGenDiffusers", #7K
547
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548
- "Yntec/epiCRealismVAE", #8K
549
- "Yntec/LehinaModel", #8K
550
- "Yntec/realistic-vision-v12", #14K
551
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552
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553
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554
- "Yntec/edgeOfRealism", #25K
555
- "Yntec/fennPhoto", #27k
556
- "Yntec/aMovieX/", #28K
557
- "Yntec/photoMovieXFinal", #31K
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
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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
- "Yntec/NeverExisted",
582
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583
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584
- "Yntec/GOLDFish",
585
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586
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587
- "Yntec/Photosphere",
588
- "Yntec/yabalMixTrue25D_v2_VAE",
589
- "dreamlike-art/dreamlike-anime-1.0",
590
- "Yntec/RainbowDreams",
591
- "Yntec/rainbowpatch",
592
- "Yntec/DucHaiten-Retro-Diffusers",
593
- "Yntec/sexyToons",
594
- "Yntec/photoMovieX/",
595
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596
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597
- "Yntec/CuteYuki2",
598
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599
- "Yntec/COOLKIDSV2",
600
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601
- "Yntec/RPG_Remix",
602
- "Yntec/OrangeRemix",
603
- "Yntec/PeachMix3",
604
- "Yntec/samdoesartsUlt",
605
- "Yntec/NovelAI",
606
- "Yntec/NovelAIRemix",
607
- "Yntec/Hiten",
608
- "digiplay/kencanmix_v1.5",
609
- "digiplay/fCAnimeMix_v6", #776
610
- "digiplay/YabaLMixAnimeRealistic_V1.0", #754
611
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612
- "digiplay/majicMIX_realistic_v6",
613
- "digiplay/Noosphere_v4", #723
614
- "digiplay/RunDiffusionFXPhotorealistic_v1",
615
- "digiplay/HadrianDelice_DeliceV1", #772
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
- "digiplay/Yntec_Wonder_0508_DDIM", #818
640
-
641
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642
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643
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644
- "digiplay/hellopure_v2.24Beta", #943
645
- "digiplay/Realisian_v4", #941
646
- "digiplay/Realisian_v5", #937
647
- "digiplay/2.5DSET_new1a25d_FFver", #934
648
- "digiplay/chilled_remix_v1vae.safetensors", #931
649
- "digiplay/Pika_v1", #927
650
- "digiplay/PrefixFantasyMix_v1", #926
651
- "digiplay/SoapMix2.5D_v2", #921
652
- "digiplay/ISOmix_v3.22", #918
653
- "digiplay/Zevinemix_v1.0", #917
654
- "digiplay/CoffeeMix_v1", #913
655
- "digiplay/PeachMixsRelistic_R0", #907
656
- "digiplay/PerfectDeliberate_v5", #904
657
- "digiplay/majicMIX_sombre_v2", #900
658
- "digiplay/majicMIX_sombre_v1", #899
659
- "digiplay/GhostMix", #899
660
- "digiplay/CiderMix_ciderR", #898
661
- "digiplay/MeinaPastel_v3", #896
662
- "digiplay/quincemix_v2", #896
663
- "digiplay/chilled_remixb_v1vae.safetensors", #887
664
- "digiplay/PerfectDeliberate_v4", #885
665
- "digiplay/K-main2.1", #881
666
- "digiplay/YabaLMixTrue25D_V2.0", #874
667
- "digiplay/realdosmix_diffusers", #873
668
- "digiplay/fantasticmix2.5D_test", #871
669
- "John6666/juggernaut-reborn-sd15", #860
670
- "digiplay/AnalogMadness-realistic-model-v6", #862
671
- "DucHaiten/DucHaitenDreamWorld",
672
- "digiplay/LemonteaMixPainterly2_v1",
673
- "Hius/DreamFul-V2",
674
- "lambdalabs/sd-naruto-diffusers", #201
675
- "digiplay/SweetMuse_diffusers",
676
- "stablediffusionapi/icomix-2",
677
- "digiplay/Realisian_v1",
678
- "digiplay/RMHF_2.5D_v2",
679
- "digiplay/Remedy",
680
- "Hemlok/QuinceMix",
681
- "digiplay/K-main",
682
- "digiplay/perfectLewdFantasy_v1.01",
683
- "digiplay/Opiate_v2",
684
- "digiplay/PhotoSomnia_vFinal",
685
- "stablediffusionapi/all-526-animated",
686
- "digiplay/polla_mix_2.5D",
687
- "AstraliteHeart/pony-diffusion",
688
- "stablediffusionapi/chilloutmixsf",
689
- "Masagin/Deliberate", #235
690
- "DucHaiten/DucHaitenSuperCute",
691
- "stablediffusionapi/all-526",
692
- "theintuitiveye/HARDblend",
693
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694
- "stablediffusionapi/cusp-of-serenity",
695
- "SG161222/Realistic_Vision_V1.4",
696
- "digiplay/paulEberSRealismMix_v1",
697
-
698
- "LottePeisch/RevAnimated-Diffusers", #833
699
- "hassanblend/hassanblend1.4",
700
- "digiplay/zodiac_eclipse_DAY1",
701
- "claudfuen/photorealistic-fuen-v1",
702
- "stablediffusionapi/chillout-app-factory",
703
- "DucHaiten/DucHaitenJourney",
704
- "robotjung/SemiRealMix",
705
- "Joeythemonster/anything-midjourney-v-4-1",
706
- "prompthero/midjourney-v4-diffusion",
707
- "prompthero/openjourney-v4",
708
- "x67/shortjourney",
709
- "FredZhang7/paint-journey-v2",
710
- "digiplay/PersonaStyleCheckpoint",
711
- "darkstorm2150/Protogen_Infinity_Official_Release",
712
- "PeggyWang/openjourney-v2",
713
- "darkstorm2150/Protogen_x3.4_Official_Release",
714
- "stablediffusionapi/deliberateappfactory", #236
715
- "digiplay/CrossoverMix_v2",
716
- "stablediffusionapi/spybg",
717
- "stablediffusionapi/dreamshaper-v6", #239
718
- "stablediffusionapi/the-ally",
719
- "darkstorm2150/Protogen_x5.8_Official_Release",
720
- "coreco/seek.art_MEGA",
721
- "digiplay/BlankCanvas_v1", #07.11
722
- "digiplay/OnlyAnime_v2.3",
723
- "Korakoe/OpenNiji",
724
- "digiplay/Pika_v2",
725
- "digiplay/RealCartoon3D_F16full_v3.1", #254
726
- "digiplay/realidefmix_3.5VAE",
727
- "digiplay/realmixUnrealjourney_v1",
728
- "digiplay/SyncMix_v1.5",
729
- "stablediffusionapi/chilledremixsazyou-r", #195
730
- "digiplay/TWingshadow_v1.2",
731
- "digiplay/whatamix_v1",
732
-
733
- "digiplay/AIGEN_v1.4_diffusers",
734
- "digiplay/BrickAndMortarMix_v2.0_diffusers", #224
735
- "digiplay/BeautyFool_v1.2VAE_pruned",
736
- "digiplay/breakdomainrealistic_R2333",
737
- "digiplay/CityEdge_StyleMix_v1.44",
738
- "stablediffusionapi/dalcefopainting2", #199
739
- "digiplay/DiamondCoalMix_v2_pruned_diffusers",
740
- "digiplay/DreamShaper_7", #259
741
- "digiplay/elegantEntropy_v1.1", #221
742
- "digiplay/KawaiiRealisticAnimeMix_A0.3",
743
- "digiplay/HIMAWARI_v1",
744
- "digiplay/Hodgepodge_v2.1", #217
745
- "digiplay/illustro1stEdition_illustroV1", #214
746
- "digiplay/Juggernaut_final", #07.11
747
- "digiplay/Landscape_PhotoReal_v1",
748
- "digiplay/LuckyStrikeMix0.2Realistic", #07.10
749
- "digiplay/Matrix_Stellar_VAE_v1",
750
- "digiplay/PrefixRealisticMix_v1",
751
- "digiplay/RealEpicMajicRevolution_v1", #07.11
752
- "digiplay/ShampooMix_4", #252
753
- "digiplay/ShowmakerMix_v1",
754
- "digiplay/SoapMix2.5D_v1",
755
-
756
- "Redamancy2299/dreambooth",
757
- "Lykon/DreamShaper", #240
758
- "trysem/DreamShaper-3.3",
759
- "HusseinHE/hussein-deliberate-1000steps", #237
760
- "stablediffusionapi/majicmixfantasy",
761
- "stablediffusionapi/majicmixsombre", #247
762
- "wavymulder/modelshoot",
763
- "digiplay/ChillyMix_v1", #215
764
- "stablediffusionapi/foto-assisted-diffusion", #197
765
- "wavymulder/portraitplus",
766
- "stablediffusionapi/chilloutmix-4264",
767
- "stablediffusionapi/product-design", #194
768
- "kandinsky-community/kandinsky-2-1", #251
769
-
770
- "digiplay/2.5DSET_diffusers", #227
771
- "digiplay/alstroemeriaMix_v1",
772
- "wavymulder/Analog-Diffusion",
773
- "digiplay/AniRealityMix_v1", #257
774
- "digiplay/BasilKorea_v2", #07.11
775
- "digiplay/bluePencilRealistic_v01",
776
- "digiplay/bra_v40_diffusers",
777
- "digiplay/Burger_Mix_semiR2Lite", #222
778
- "digiplay/calicomixreal_v2.0_diffusers",
779
- "digiplay/CampurSari_Gen1",
780
- "digiplay/cocotifacute_v1", #07.10
781
- "digiplay/CounterMix_v2", #211
782
- "digiplay/CuriousMerge2.5D_v5",
783
- "digiplay/dosmix",
784
- "digiplay/epi_2.5Dphotogodess_diffusers",
785
- "stablediffusionapi/droodlyrielv15",
786
- "digiplay/fantexi_v0.7",
787
- "digiplay/FumizukiMix_v1",
788
- "digiplay/helloworld_v3",
789
- "digiplay/ISOmix_v3.22",
790
- "digiplay/JF-Cu_v1",
791
- "digiplay/kencanmix_v2.0beta",
792
- "wavymulder/lomo-diffusion",
793
- "stablediffusionapi/majicmixv5", #192
794
- "digiplay/MiracleMixGlitter_v1",
795
- "digiplay/Noosphere_v3",
796
- "digiplay/PeachMixsRelistic_R0", #262
797
- "wavymulder/timeless-diffusion",
798
-
799
- "DucHaiten/DucHaitenAnime",
800
- "DucHaiten/DucHaitenAIart",
801
- "Manseo/Colorful-v4.5-Plus", #244
802
- "Guizmus/SDArt_ChaosAndOrder",
803
- "DucHaiten/DH_ClassicAnime",
804
- "stablediffusionapi/disneypixar",
805
- "johnslegers/epic-diffusion-v1.1",
806
- "emilianJR/epiCRealism",
807
- "johnslegers/epic-diffusion",
808
- "stablediffusionapi/ghostmix",
809
- "Duskfallcrew/EpicMix_Realism",
810
- "nitrosocke/Nitro-Diffusion",
811
- "prompthero/openjourney",
812
- "Guizmus/SDArt_something",
813
- "DucHaiten/DucHaiten-StyleLikeMe",
814
- "ddPn08/subtly", #250
815
- "22h/vintedois-diffusion-v0-1",
816
-
817
- "circulus/sd-anireal-v2.7",
818
- "0xJustin/Dungeons-and-Diffusion",
819
- "darkstorm2150/Protogen_v2.2_Official_Release",
820
- "Guizmus/SDArt_AliceInDiffusionLand",
821
- "stablediffusionapi/realistic-vision-v20-2047",
822
- "redstonehero/RPG-v5-itr17_A10T",
823
-
824
- "stablediffusionapi/camelliamix25d",
825
- "Guizmus/SDArt_cosmichorrors",
826
- "DGSpitzer/DGSpitzer-Art-Diffusion",
827
- "stablediffusionapi/emotion-puppeteer-v2",
828
- "stablediffusionapi/fengjing",
829
- "stablediffusionapi/fuwafuwamix",
830
- "Fred99774/girlnew1",
831
- "stablediffusionapi/majicmixrealistic",
832
- "ItsJayQz/SynthwavePunk-v2",
833
- "zhyemmmm/ToonYou",
834
- "stablediffusionapi/uber-realistic-merge",
835
- "stablediffusionapi/vne732h9dh4",
836
- "stablediffusionapi/wand-magic2",
837
- "stablediffusionapi/waifu-journey-2",
838
- "stablediffusionapi/zovya",
839
-
840
- "Guizmus/SDArt_cosmichorrors768",
841
- "stablediffusionapi/counterfeit-v30",
842
- "stablediffusionapi/amireal",
843
- #"JamesFlare/pastel-mix", #"andite/pastel-mix",
844
- "stablediffusionapi/rev-anim",
845
- "aipicasso/picasso-diffusion-1-1",
846
- "xiaolxl/Gf_style2",
847
- "circulus/sd-semireal-v2.8",
848
- "Crosstyan/BPModel", #07.11
849
-
850
- "digiplay/Dusk-1",
851
- "ogkalu/Comic-Diffusion",
852
- "Guizmus/SDArt_ChaosAndOrder768",
853
- "gsdf/Counterfeit-V2.0",
854
- ##"dwancin/memoji", #07.11
855
- "nousr/robo-diffusion-2-base",
856
-
857
- ##"hakurei/waifu-diffusion",
858
- "WarriorMama777/AbyssOrangeMix2",
859
- "stablediffusionapi/abyssorangemix2nsfw", #200
860
- ##"cag/anything-v3-1",
861
- "iZELX1/Anything-V3-X",
862
- "xyn-ai/anything-v4.0", #"andite/anything-v4.0",
863
- #"D1b4l4p/AsianMix",
864
- #"Fred99774/chilloutvlara",
865
- "aipicasso/cool-japan-diffusion-2-1-2",
866
- "stablediffusionapi/corneos-7th-heaven-m", #196
867
- "DGSpitzer/Cyberpunk-Anime-Diffusion",
868
- "stablediffusionapi/dark-sushi-mix",
869
- "joachimsallstrom/Double-Exposure-Diffusion",
870
- "eimiss/EimisAnimeDiffusion_1.0v",
871
- #"prompthero/funko-diffusion",
872
- "nitrosocke/Ghibli-Diffusion",
873
- ###"iZELX1/Grapefruit",
874
- "xiaolxl/GuoFeng3",
875
- "stablediffusionapi/tmnd-mix",
876
- "coder119/Vectorartz_Diffusion", #203
877
-
878
- "WarriorMama777/AbyssOrangeMix",
879
- "AIARTCHAN/7pa",
880
- "JosephusCheung/ACertainModel",
881
- "JosephusCheung/ACertainThing",
882
- "JosephusCheung/ACertainty",
883
- "AIARTCHAN/AbyssHellVer3",
884
- "AIARTCHAN/AbyssMapleVer3",
885
- "stablediffusionapi/abyssorangemixsfw",
886
- "AIARTCHAN/anidosmixV2",
887
- "stablediffusionapi/anime-model-v2",
888
- "kubanemil/AnyLORA",
889
- "stablediffusionapi/hc-anything-v3-vae", #231
890
- "mm00/anything-v3.0-light",
891
- "stablediffusionapi/anythingelse-v4",
892
- "stablediffusionapi/anything-v45-fixed",
893
- "stablediffusionapi/anything-v5",
894
- "nitrosocke/Arcane-Diffusion",
895
- "nitrosocke/archer-diffusion",
896
- "stablediffusionapi/architecture-tuned-model",
897
- "WarriorMama777/BloodOrangeMix",
898
- "wavymulder/collage-diffusion",
899
- "stablediffusionapi/camelliamixline",
900
- "Johnhex/Clam", #243
901
- "stablediffusionapi/cosmic-babes",
902
- "digiplay/CoffeeDonut_v1",
903
- "stablediffusionapi/dark-sushi-25d",
904
- "digiplay/Defacta_v1_diffusers", #226
905
- ## "WarriorMama777/EerieOrangeMix",
906
- "digiplay/DuelAnimeMix_v1", #225
907
- "Envvi/Inkpunk-Diffusion",
908
- "digiplay/kotosmix_diffusers", #229
909
- "stablediffusionapi/meinaalter",
910
- "Nacholmo/meinamixv7-diffusers",
911
- "stablediffusionapi/meinapastel",
912
- "AIARTCHAN/MIX-Pro-V4",
913
- "stablediffusionapi/shirataki-mix", #191
914
- "NoCrypt/SomethingV2_2",
915
- "NoCrypt/SomethingV2",
916
- ## "stablediffusionapi/three-delicacy",
917
- ## "stablediffusionapi/three-delicacy-wonto",
918
- "etherealxx/systemy-csrmodel-cutesexyrobutts", #"andite/cutesexyrobutts-diffusion",
919
- "sd-dreambooth-library/true-guweiz-style", # "andite/guweiz-diffusion",
920
- "stablediffusionapi/vector-art", #198
921
- "digiplay/xxMix_4",
922
- ###"mio/hiten", #"andite/hiten-diffusion",
923
- ### "andite/mashuu-diffusion",
924
- ### "andite/mignon-diffusion",
925
- ### "andite/mikapikazo-diffusion",
926
- ### "andite/piromizu-diffusion",
927
- "digiplay/Zevinemix_v1.0/",
928
-
929
- "digiplay/AnaMix_v2", #07.11
930
- "stablediffusionapi/animetestmodelv3",
931
- "yulet1de/anything", #232
932
- "hakurei/artstation-diffusion", #07.11
933
- "Fictiverse/Stable_Diffusion_BalloonArt_Model",
934
- "stablediffusionapi/bg-dream-irl",
935
- "stablediffusionapi/bg-dream-model-b", #193
936
- "Rardilit/Ciffusion_v0.1",
937
- "circulus/sd-anireal-2d-v2",
938
- "circulus/sd-photoreal-v2.7",
939
- "circulus/sd-photoreal-photo-v2",
940
- "circulus/sd-anireal-2.5d-v2",
941
- "circulus/sd-anireal-v2.5",
942
- "circulus/sd-photoreal-semi-v2",
943
- "circulus/sd-photoreal-real-v2",
944
- "circulus/sd-photoreal-v2.5",
945
- "circulus/sd-anireal-3d-v2",
946
- "circulus/sd-anireal-v2.8",
947
- "nitrosocke/classic-anim-diffusion",
948
- "Conflictx/Complex-Lineart", #245
949
- "justinpinkney/pokemon-stable-diffusion",
950
- "nitrosocke/elden-ring-diffusion",
951
- "digiplay/EtherBluMix_1", #07.11
952
- "digiplay/fantasticmix_v40_test", #261
953
- "theintuitiveye/FantasyMix",
954
- "Fictiverse/Stable_Diffusion_FluidArt_Model",
955
- "nitrosocke/Future-Diffusion",
956
- "ItsJayQz/GTA5_Artwork_Diffusion", #205
957
- "TheLastBen/hrrzg-style-768px", #246
958
- "nevernotsean/IllustratedPaperMini", #242
959
- "dallinmackay/JWST-Deep-Space-diffusion",
960
- #"prompthero/linkedin-diffusion",
961
- "mann-e/mann-e_4_rev-0-1", #210
962
- "ItsJayQz/Marvel_WhatIf_Diffusion", #206
963
- "yuanbit/max-15-1e-6-1500",
964
- "MyneFactory/MF-Base", #248
965
- "Fictiverse/Stable_Diffusion_Microscopic_model", #249
966
- "nitrosocke/mo-di-diffusion",
967
- "luongphamit/NeverEnding-Dream2", #241
968
- "Vernon-2/output_test",
969
- "Fictiverse/Stable_Diffusion_PaperCut_Model",
970
- "bsuutari/path_to_saved_model",
971
- "bsuutari/path_to_saved_model_rafa",
972
- "lambdalabs/sd-pokemon-diffusers", #202
973
- "prompthero/poolsuite-diffusion",
974
- "digiplay/RealismEngine_v1",
975
- "nitrosocke/redshift-diffusion",
976
- "nitrosocke/redshift-diffusion-768",
977
- "nousr/robo-diffusion",
978
- "digiplay/SDVN1-Real_v1", #255
979
- "nitrosocke/spider-verse-diffusion",
980
- #"runwayml/stable-diffusion-v1-5",
981
- "nicky007/stable-diffusion-logo-fine-tuned",
982
- "stablediffusionapi/three-delicacy", #233
983
- "stablediffusionapi/three-delicacy-wonto", #234
984
- "naclbit/trinart_stable_diffusion_v2",
985
- "dallinmackay/Tron-Legacy-diffusion",
986
- "digiplay/unstableDiffusersYamerMIX_v3",
987
- "dallinmackay/Van-Gogh-diffusion",
988
- "ItsJayQz/Valorant_Diffusion",
989
- "Fictiverse/Stable_Diffusion_VoxelArt_Model", #204
990
- "wavymulder/wavyfusion",
991
- "CompVis/stable-diffusion-v1-4", #530
992
- "CompVis/stable-diffusion-v1-3", #207
993
- "CompVis/stable-diffusion-v1-2", #208
994
- "CompVis/stable-diffusion-v1-1", #209
995
- ]
996
- #from externalmod import find_model_list
997
-
998
- #models = find_model_list("Yntec", [], "", "last_modified", 20)
999
-
1000
- # Examples:
1001
- #models = ['yodayo-ai/kivotos-xl-2.0', 'yodayo-ai/holodayo-xl-2.1'] # specific models
1002
- #models = find_model_list("Yntec", [], "", "last_modified", 20) # Yntec's latest 20 models
1003
- #models = find_model_list("Yntec", ["anime"], "", "last_modified", 20) # Yntec's latest 20 models with 'anime' tag
1004
- #models = find_model_list("Yntec", [], "anime", "last_modified", 20) # Yntec's latest 20 models without 'anime' tag
1005
- #models = find_model_list("", [], "", "last_modified", 20) # latest 20 text-to-image models of huggingface
1006
- #models = find_model_list("", [], "", "downloads", 20) # monthly most downloaded 20 text-to-image models of huggingface
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
app.py CHANGED
@@ -1,174 +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, token=HF_TOKEN))
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
- finally:
85
- loop.close()
86
- return result
87
-
88
- css="""
89
- .wrapper img {font-size: 98% !important; white-space: nowrap !important; text-align: center !important;
90
- display: inline-block !important;}
91
- """
92
-
93
- with gr.Blocks(css=css) as demo:
94
-
95
- with gr.Tab('Toy World'):
96
- txt_input = gr.Textbox(label='Your prompt:', lines=4)
97
- gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
98
- #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
99
- gen_button.click(lambda s: gr.update(interactive = True), None)
100
- gr.HTML(
101
- """
102
- <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
103
- <div>
104
- <body>
105
- <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
106
- </div>
107
- </body>
108
- </div>
109
- </div>
110
- """
111
- )
112
- with gr.Row():
113
- output = [gr.Image(label = m, min_width=480) for m in default_models]
114
- current_models = [gr.Textbox(m, visible = False) for m in default_models]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
115
 
116
- for m, o in zip(current_models, output):
117
- gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn,
118
- inputs=[m, txt_input], outputs=[o], concurrency_limit=None, queue=False)
119
- #stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
120
- with gr.Accordion('Model selection'):
121
- 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)
122
- #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)
123
- model_choice.change(update_imgbox, model_choice, output)
124
- model_choice.change(extend_choices, model_choice, current_models)
125
- with gr.Row():
126
- gr.HTML(
127
- """
128
- <div class="footer">
129
- <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>
130
- </p>
131
- """
132
- )
133
- with gr.Tab('🌱 Use seeds!'):
134
- txt_inputseed = gr.Textbox(label='Your prompt:', lines=4)
135
- gen_buttonseed = gr.Button('Generate up to 6 images with the same seed in up to 3 minutes total')
136
- 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)
137
- #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
138
- gen_buttonseed.click(lambda s: gr.update(interactive = True), None)
139
- gr.HTML(
140
- """
141
- <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
142
- <div>
143
- <body>
144
- <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
145
- </div>
146
- </body>
147
- </div>
148
- </div>
149
- """
150
- )
151
- with gr.Row():
152
- output = [gr.Image(label = m, min_width=480) for m in default_models]
153
- current_models = [gr.Textbox(m, visible = False) for m in default_models]
154
 
155
- for m, o in zip(current_models, output):
156
- gen_eventseed = gr.on(triggers=[gen_buttonseed.click, txt_inputseed.submit], fn=gen_fnseed,
157
- inputs=[m, txt_inputseed, seed], outputs=[o], concurrency_limit=None, queue=False)
158
- #stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
159
- with gr.Accordion('Model selection'):
160
- 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)
161
- #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)
162
- model_choice.change(update_imgbox, model_choice, output)
163
- model_choice.change(extend_choices, model_choice, current_models)
164
- with gr.Row():
165
- gr.HTML(
166
- """
167
- <div class="footer">
168
- <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>
169
- </p>
170
- """
171
- )
172
-
173
- demo.queue(default_concurrency_limit=200, max_size=200)
174
- 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)
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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
style.css DELETED
@@ -1,3 +0,0 @@
1
- .gradio-container {
2
- background-image: linear-gradient(#660099, #000000) !important;
3
- }