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README.md

@@ -1,14 +1,13 @@
 ---
-title: 866 AI Art Models 6 Outputs (Gradio 4.x, Gallery)
+title: Huggingface Diffusion
 emoji: 🛕🛕
 colorFrom: green
 colorTo: blue
 sdk: gradio
-sdk_version: 4.41.0
+sdk_version: 5.0.1
 app_file: app.py
-pinned: false
-duplicated_from: Yntec/Diffusion80XX
-short_description: Compare up to 6 image models!
+pinned: true
+short_description: Compare 909+ AI Art Models 6 at a time!
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

all_models.py

@@ -1,14 +1,75 @@
 models = [ 
+    "Yntec/LadyNostalgia", #909
+    "digiplay/SomethingPhenomenal_vivacityV2", #735
+    "Yntec/darelitesFantasyMix", #908
+    "digiplay/chrysanthemumMix_v1",
+    "Yntec/handpaintedRPGIcons", #906
+    "digiplay/majicMIX_realistic_v1",
+    "Yntec/MemojiRemix", #905
+    "digiplay/asyncsMIX_v2",
+    "Yntec/StaticMVintage", #903
+    "digiplay/Koji_v2.1_diffusers",
+    "Yntec/animeFIVEHUNDREDTWENTY-SIX", #902
+    "digiplay/ZHMix-Dramatic-v3.0",
+    "Yntec/3DCartoonVision", #901
+    "digiplay/Gap",
+    "Yntec/TwoAndAHalfDimensions", #900
+    "digiplay/EdisonNilMix_v1", # Added 7.10 Updated 12.5
+    "Yntec/RadiantDiversions", #899
+    "digiplay/MengX_Mix_Fantasy_v4", #689
+    "Yntec/RetroRetro", #897
+    "digiplay/PlanetBumix_v1",
+    "Yntec/ClassicToons", #897
+    "digiplay/CamelliaMIx_2.5D_v1_VAE", #696
+    "Yntec/Disneyify", #896
+    "black-forest-labs/FLUX.1-schnell", #876
+    "digiplay/supashymix_v30Lite", #701
+    "Yntec/epiCEpic", #889
+    "LostMedia/RetroDiffusion", #894
+    "Yntec/QGO", #893
+    "digiplay/seizamix_v2", #706
+    "Yntec/PixelKicks", #895
+    "digiplay/majicMIX_lux_v3", #708
+    "Yntec/VisionVision", #888
+    "LostMedia/0-1982-1084-0065", #892
+    "Yntec/m0nst3rfy3",
+    "digiplay/fantasticAnime_diffusers",
+    "Yntec/photographerAlpha7", #891
+    "digiplay/richyrichmix_V2Fp16", #707
+    "Yntec/ChunkyCat", #880
+    "digiplay/dosmixVAE-mangled", #804
+    "Yntec/TickleYourFancy", #879
+    "digiplay/fCAnimeMix_v4", #747
+    "Yntec/realistic-vision-v13", #886
+    "John6666/naclo74models-mih-entrance-sd15", #883
+    "Yntec/ZootVision", #884
+    "digiplay/HadrianDelice_BYC1.0", #728
+    "Yntec/breakdomain", #882
+    "digiplay/PerfectDeliberate-Anime_v1", #724
+    "Yntec/CrystalClearRemix", ##4
+    "digiplay/BreakDro_i1464", #719
+    "Yntec/AllRoadsLeadToRetro", #877
+    "digiplay/mothmix_v1.41", #720
+    "Yntec/AnimephilesAnonymous", #875
+    "digiplay/CCTV2.5d_v1", #219
+    "Yntec/InsaneSurreality", #873
+    "digiplay/bluePencil_v09b", #766
+    "Yntec/WinningBlunder", #868
+    "digiplay/Colorful_v1.3", #774
+    "Yntec/DreamlikePhotoReal2", #872
+    "digiplay/BeenYouLiteL11_diffusers",
+    "Yntec/Surreality", #870    
+    "digiplay/xxgSl526_v1", ##400
     "Yntec/beLIEve", #865
     "digiplay/MilkyWonderland_v1", #866
     "Yntec/Hyperlink", #861
     "digiplay/AnalogMadness-realistic-model-v5", #864
     "Yntec/HyperRemix", #859
-    "digiplay/ZHMix-Dramatic-v2.0",
+    "digiplay/RunDiffusionFX2.5D_v1_diffusers",
     "Yntec/realisticStockPhoto3", #863
     "digiplay/fishmix_other_v1",
     "Yntec/HyperPhotoGASM", #858
-    "digiplay/Gap_2.6",
+    "digiplay/XRYCJ_RealisticModel",
     "Yntec/CrystalReality", #855
     "John6666/meinamix-meinav11-sd15", #857
     "Yntec/Roleplay", #850
@@ -25,8 +86,11 @@ models = [
     "digiplay/rRealism_v1.0_riiwa", #848
     "Yntec/ClayStyle", #838
     "digiplay/TWingshadow_v1.0", #847
+    "Yntec/HassanRemix",
     "digiplay/TWingshadow_v1.0_finetune", #846
+    "Yntec/Reddit",
     "digiplay/V3_by_Hans_Asian",
+    "Yntec/CinematicReality",
     "digiplay/Maji5PlusCCTV", #843
     "Yntec/3DKX2",
     "digiplay/cosfMix_v1", #223
@@ -73,7 +137,7 @@ models = [
     "Yntec/AbsoluteReality",      #15K
     "digiplay/PikasAnimatedMix_v1", #805
     "Yntec/BeautyFoolRemix", #800
-    "digiplay/dosmixVAE-mangled", #804
+    "digiplay/yiSMix2.8D_v1", ##600
     "Yntec/DisneyPixarCartoon768", #803
     "digiplay/AgainMix_v2.0", #802
     "Yntec/mistoonRuby3", #801
@@ -81,7 +145,7 @@ models = [
     "Yntec/AtoZ", #799
     "digiplay/fantasticmix_k1", #797
     "Yntec/FilmGirlRemix", #795
-    "digiplay/fCAnimeMix_v5", #798
+    "digiplay/hellopure_v2.23", ##1K   
     "Yntec/Vintage", #794
     "digiplay/BeautyFoolReality_4", #796
     "Yntec/UltraHighDefinition", #791
@@ -101,19 +165,19 @@ models = [
     "Yntec/ArthemyComics", #781
     "digiplay/EtherRealMix_LUX2",
     "Yntec/ReVAnimatedRemix", #780
-    "digiplay/CampurSari_Gen1",
+    "digiplay/majicMIXfantasy_v1", ##700
     "Yntec/AnythingNostalgic", #775
     "digiplay/WhiteDreamyHillMix_v1_VAE", #713    
     "Yntec/AnyLoRa-768", #778
-    "digiplay/CCTV2.5d_v1", #219
+    "digiplay/CuriousMerge2.5D_v40E", #771
     "Yntec/AnythingV5-768", #777
     "digiplay/LEAU",
     "Yntec/Moistalgia", #773
-    "digiplay/Colorful_v1.3", #774
+    "digiplay/AnalogMadness-realistic-model-v7", #842
     "Yntec/DeleteThis", #770
     "digiplay/LemonTea2.5D",
     "Yntec/ModernDisney", #764
-    "digiplay/HadrianDelice_DeliceV1", #772
+    "John6666/cute-illustration-style-reinforced-model-v61-sd15", #878
     "Yntec/IsThisDisney", #767
     "digiplay/MRMD_0505", #769
     "Yntec/RetroArt", #760
@@ -121,7 +185,7 @@ models = [
     "Yntec/Fanatic", #758
     "digiplay/fantastel_V1", #759    
     "Yntec/Mo-Di-Diffusion-768", #768
-    "digiplay/bluePencil_v09b", #766
+    "digiplay/WhiteDreamyHillMix_v1", #220
     "Yntec/AnythingV4.5.6.7.8", #763
     "digiplay/majicMIX_realistic_v7", #761
     "Yntec/ElldrethsRetroMix", #4K
@@ -133,7 +197,7 @@ models = [
     "Yntec/DucHaitenAIart-beta", #3K
     "digiplay/Acorn_Photo_v1", #757 
     "Yntec/a-ZovyaRPGV4", #756
-    "digiplay/EdisonNilMix_v1", # Added 7.10 Updated 12.5
+    "digiplay/Gap_2.6",
     "Yntec/KrazyGlue", #745
     "digiplay/AnyPastel", #752
     "Yntec/EpicDiffusion", #753
@@ -148,7 +212,7 @@ models = [
     "digiplay/MixTape_RocknRoll_v3punk_bake_fp16",
     "Yntec/AbyssOrangeMix", #740
     "digiplay/PerfectDeliberate-Anime_v2", #734
-    "digiplay/SomethingPhenomenal_vivacityV2", #735
+    "digiplay/XXMix_9realistic_v1",
     "Yntec/CocaCola", #733
     "digiplay/majicMixHorror_v1", #738
     "digiplay/Noosphere_v4.2", #737
@@ -165,25 +229,21 @@ models = [
     "digiplay/pan04", #725
     "Yntec/Voxel", #715
     "digiplay/FishMix_v1.1",
-    "digiplay/chrysanthemumMix_v1",
+    "digiplay/Dolka_Rusalka_v0.5.1",
     "Yntec/DreamlikeDiffusion", #722
-    "digiplay/mothmix_v1.41", #720
-    "digiplay/BreakDro_i1464", #719
+    "digiplay/XtReMixUltimateMerge_v1.5", #710
+    "digiplay/YabaLMixTrue25D_V1.0", ##900
     "Yntec/HyperRealism", #721
     "digiplay/aurorafantasy_v1", #717
     "digiplay/CoharuMix_real",
     "Yntec/Prodigy", #712
     "digiplay/ya3_xt",  #711
-    "digiplay/XtReMixUltimateMerge_v1.5", #710
     "Yntec/Protogen_Unofficial_Release", #709
-    "digiplay/majicMIX_lux_v3", #708
-    "digiplay/richyrichmix_V2Fp16", #707
-    "Yntec/Timeless", #703
-    "digiplay/seizamix_v2", #706
     "digiplay/AnalogMadness-realistic-model-v4", #705
+    "Yntec/Timeless", #703
+    "digiplay/2-KWI", #213 ##900
     "Yntec/Fabulous", #700
     "digiplay/realspice_v2", #702
-    "digiplay/supashymix_v30Lite", #701
     "Yntec/DucHaitenRetro2", #704
     "digiplay/BeautifulFantasyRealMix_diffusers", #698
     "Yntec/IncredibleLife", #699
@@ -191,17 +251,17 @@ models = [
     "Yntec/AnythingV3.1", #699
     "digiplay/AstrAnime_v6", #698
     "Yntec/TimelessDiffusion768", #699
-    "digiplay/Koji_v2.1_diffusers",
+    "digiplay/YutaMix_realistic_v11",
     "Yntec/RetroLife", #691
-    "digiplay/CamelliaMIx_2.5D_v1_VAE", #696
+    "digiplay/nk15_diffusers", #230
     "Yntec/CuteFurry",
-    "digiplay/MengX_Mix_Fantasy_v4", #689
+    "digiplay/NightmareShaper_v2DarkageLobotomy",
     "Yntec/theallysMixIIChurned", #694
     "digiplay/MengX_Mix_Real_v3",
     "Yntec/BrainDance", #693
     "digiplay/ARRealVX1.1",
     "Yntec/Remedy", #697
-    "digiplay/PlanetBumix_v1",
+    "digiplay/Hassaku_1.3", #830
     "Yntec/Paramount",
     "digiplay/Yuzu_v1.1", #688
     "Yntec/Playground", #690
@@ -259,39 +319,23 @@ models = [
     "Yntec/Infinite80s",
     "digiplay/AI-infinity-V1-fp16",
     "Yntec/InfiniteLiberty",
-    "digiplay/XXMix_9realistic_v1",
     "Yntec/aBagOfChips",
-    "digiplay/Dolka_Rusalka_v0.5.1",
     "Yntec/IsThisArt",
-    "digiplay/YutaMix_realistic_v11",
     "Yntec/Jackpot",
-    "digiplay/XRYCJ_RealisticModel",
     "Yntec/C-.-_-.-Aravaggio",
-    "digiplay/RunDiffusionFX2.5D_v1_diffusers",
     "Yntec/Stuff",
-    "digiplay/NightmareShaper_v2DarkageLobotomy",
     "Yntec/LiberteRedmond",
-    "digiplay/nk15_diffusers", #230
     "Yntec/Emoticons",
-    "digiplay/xxgSl526_v1",
     "Yntec/BabeBae",
-    "digiplay/2-KWI", #213
     "Yntec/SinkOrSwim",
-    "digiplay/majicMIXfantasy_v1",
     "Yntec/Nostalgic",
-    "digiplay/yiSMix2.8D_v1",
     "Yntec/mixRealisticFantasy",
-    "digiplay/hellopure_v2.23",
     "Yntec/Astro_-_-Gemu",
-    "digiplay/YabaLMixTrue25D_V1.0",
+    "John6666/cookie-run-character-style-v1-sd15-lora", #853
     "Yntec/StorybookRedmond",
-    "digiplay/AnalogMadness-realistic-model-v7", #842
     "Yntec/Cheesecake",
-    "digiplay/CuriousMerge2.5D_v40E", #771
     "Yntec/GimmeDatDing",
-    "John6666/cookie-run-character-style-v1-sd15-lora", #853
     "Yntec/GenerateMe",
-    "digiplay/Hassaku_1.3", #830
     "Yntec/Gacha",
     "Yntec/incha_re_zoro",
     "Yntec/GodMode",
@@ -355,7 +399,6 @@ models = [
     "Yntec/Abased", #2k
     "Yntec/SCMix", #2k
     "Yntec/Hassaku", #2k
-    "Yntec/m0nst3rfy3",    #2k
     "Yntec/PotaytoPotahto",    #2K
     "Yntec/3DCute",               #2K
     "Yntec/SuperCuteRemix",       #2K
@@ -396,7 +439,6 @@ models = [
     "Yntec/vividicAnime", #2K
     "Yntec/WoopWoopRemix",     #2K
     "Yntec/ArcticFowl",        #2K
-    "Yntec/CrystalClearRemix", #5k
     "Yntec/CrystalClear",   #3k
     "Yntec/Reanimate", #5k
     "Yntec/Deliberate2",     #5k
@@ -507,26 +549,21 @@ models = [
     "Yntec/Hiten",
     "digiplay/fCAnimeMix_v6", #776
     "digiplay/YabaLMixAnimeRealistic_V1.0", #754  
-    "digiplay/WhiteDreamyHillMix_v1", #220
-    "digiplay/fCAnimeMix_v4", #747
-    "digiplay/HadrianDelice_DeliceV1.5", #743
-    "digiplay/fCAnimeMix_v2", #716
-    "digiplay/HadrianDelice_BYC1.0", #728
+    "digiplay/fCAnimeMix_v5", #798
     "digiplay/majicMIX_realistic_v6",
     "digiplay/Noosphere_v4", #723
-    "digiplay/PerfectDeliberate-Anime_v1", #724
     "digiplay/CamelliaMIx_2.5D_v1", #695
     "digiplay/CamelliaMIx_2.5D_diffusers", #692
     "digiplay/fantasticmix2.5D_v4.0",
-    "digiplay/majicMIX_realistic_v1",
     "digiplay/RunDiffusionFXPhotorealistic_v1",
-    
+    "digiplay/HadrianDelice_DeliceV1", #772
+    "digiplay/HadrianDelice_DeliceV1.5", #743
+    "digiplay/fCAnimeMix_v2", #716
+    "digiplay/ZHMix-Dramatic-v2.0",
     "digiplay/DucHaiten-Real3D-NSFW-V1",
     "digiplay/kencanmix_v1.5",
-    "digiplay/ZHMix-Dramatic-v3.0",
-    "digiplay/Gap",
+    
     "digiplay/ya3_VAE",
-    "digiplay/asyncsMIX_v2",
     "digiplay/fantasticmix_v65_test",
     "digiplay/AingDiffusion8",
     "digiplay/AingDiffusion9",
@@ -553,7 +590,23 @@ models = [
     "digiplay/OldFish_v1.1mix_hello",
     "digiplay/OldFish_v1.1_personal_HDmix",
     "digiplay/FishMix_v1",
+    "digiplay/majicMIX_realistic_v5preview", #867
     "digiplay/Yntec_Wonder_0508_DDIM", #818
+
+    "digiplay/PeachMixsRelistic_R0", #907
+    "digiplay/PerfectDeliberate_v5", #904
+    "digiplay/majicMIX_sombre_v2", #900
+    "digiplay/majicMIX_sombre_v1", #899
+    "digiplay/GhostMix", #899
+    "digiplay/CiderMix_ciderR", #898
+    "digiplay/MeinaPastel_v3", #896
+    "digiplay/quincemix_v2", #896
+    "digiplay/chilled_remixb_v1vae.safetensors", #887
+    "digiplay/PerfectDeliberate_v4", #885
+    "digiplay/K-main2.1", #881
+    "digiplay/YabaLMixTrue25D_V2.0", #874
+    "digiplay/realdosmix_diffusers", #873
+    "digiplay/fantasticmix2.5D_test", #871
     "John6666/juggernaut-reborn-sd15", #860
     "digiplay/AnalogMadness-realistic-model-v6", #862
     "DucHaiten/DucHaitenDreamWorld",
@@ -688,11 +741,9 @@ models = [
     "digiplay/Noosphere_v3",
     "digiplay/PeachMixsRelistic_R0", #262
     "wavymulder/timeless-diffusion",
-    "digiplay/WhiteDreamyHillMix_v1", #220
-    
+        
     "DucHaiten/DucHaitenAnime",
     "DucHaiten/DucHaitenAIart",
-    "digiplay/BeenYouLiteL11_diffusers",
     "Manseo/Colorful-v4.5-Plus", #244
     "Guizmus/SDArt_ChaosAndOrder",
     "DucHaiten/DH_ClassicAnime",
@@ -700,7 +751,6 @@ models = [
     "johnslegers/epic-diffusion-v1.1",
     "emilianJR/epiCRealism",
     "johnslegers/epic-diffusion",
-    "digiplay/fantasticAnime_diffusers",
     "stablediffusionapi/ghostmix",
     "Duskfallcrew/EpicMix_Realism",
     "nitrosocke/Nitro-Diffusion",
@@ -748,7 +798,7 @@ models = [
     "ogkalu/Comic-Diffusion",
     "Guizmus/SDArt_ChaosAndOrder768",
     "gsdf/Counterfeit-V2.0",
-    "dwancin/memoji", #07.11
+    ##"dwancin/memoji", #07.11
     "nousr/robo-diffusion-2-base",
         
     ##"hakurei/waifu-diffusion",
@@ -794,7 +844,6 @@ models = [
     "WarriorMama777/BloodOrangeMix",
     "wavymulder/collage-diffusion",
     "stablediffusionapi/camelliamixline",
-    "digiplay/CiderMix_ciderR", #260
     "Johnhex/Clam", #243
     "stablediffusionapi/cosmic-babes",
     "digiplay/CoffeeDonut_v1",
@@ -887,12 +936,20 @@ models = [
     "ItsJayQz/Valorant_Diffusion",
     "Fictiverse/Stable_Diffusion_VoxelArt_Model", #204
     "wavymulder/wavyfusion",
-    "Yntec/HassanRemix",
-    "Yntec/Reddit",
-    "Yntec/CinematicReality",
-    "runwayml/stable-diffusion-v1-5", #555
     "CompVis/stable-diffusion-v1-4", #530
     "CompVis/stable-diffusion-v1-3", #207
     "CompVis/stable-diffusion-v1-2", #208
     "CompVis/stable-diffusion-v1-1", #209
 ]
+    
+#from externalmod import find_model_list    
+
+#models = find_model_list("Yntec", [], "", "last_modified", 20)
+
+# Examples:
+#models = ['yodayo-ai/kivotos-xl-2.0', 'yodayo-ai/holodayo-xl-2.1'] # specific models
+#models = find_model_list("Yntec", [], "", "last_modified", 20) # Yntec's latest 20 models
+#models = find_model_list("Yntec", ["anime"], "", "last_modified", 20) # Yntec's latest 20 models with 'anime' tag
+#models = find_model_list("Yntec", [], "anime", "last_modified", 20) # Yntec's latest 20 models without 'anime' tag
+#models = find_model_list("", [], "", "last_modified", 20) # latest 20 text-to-image models of huggingface
+#models = find_model_list("", [], "", "downloads", 20) # monthly most downloaded 20 text-to-image models of huggingface

app.py

@@ -1,18 +1,20 @@
 import gradio as gr
-from random import randint
 from all_models import models
-from externalmod import gr_Interface_load
+from externalmod import gr_Interface_load, save_image, randomize_seed
 import asyncio
+import os
+from threading import RLock
+lock = RLock()
+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.
 
 
 def load_fn(models):
     global models_load
     models_load = {}
-    
     for model in models:
         if model not in models_load.keys():
             try:
-                m = gr_Interface_load(f'models/{model}')
+                m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
             except Exception as error:
                 print(error)
                 m = gr.Interface(lambda: None, ['text'], ['image'])
@@ -23,8 +25,11 @@ load_fn(models)
 
 
 num_models = 6
+max_images = 6
+inference_timeout = 300
 default_models = models[:num_models]
-timeout = 60
+MAX_SEED = 2**32-1
+
 
 def extend_choices(choices):
     return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
@@ -32,106 +37,183 @@ def extend_choices(choices):
 
 def update_imgbox(choices):
     choices_plus = extend_choices(choices[:num_models])
-    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
-
-
-def update_imgbox_gallery(choices):
-    choices_plus = extend_choices(choices[:num_models])
-    return [gr.Gallery(None, label = m, visible = (m != 'NA')) for m in choices_plus]
-
-
-async def infer(model_str, prompt, timeout):
-    noise = ""
-    rand = randint(1, 500)
-    for i in range(rand):
-        noise += " "
-    task = asyncio.create_task(asyncio.to_thread(models_load[model_str], f'{prompt} {noise}'))
+    return [gr.Image(None, label=m, visible=(m!='NA')) for m in choices_plus]
+
+
+def random_choices():
+    import random
+    random.seed()
+    return random.choices(models, k=num_models)
+
+
+# https://huggingface.co/docs/api-inference/detailed_parameters
+# https://huggingface.co/docs/huggingface_hub/package_reference/inference_client
+async def infer(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, seed=-1, timeout=inference_timeout):
+    kwargs = {}
+    if height > 0: kwargs["height"] = height
+    if width > 0: kwargs["width"] = width
+    if steps > 0: kwargs["num_inference_steps"] = steps
+    if cfg > 0: cfg = kwargs["guidance_scale"] = cfg
+    if seed == -1: kwargs["seed"] = randomize_seed()
+    else: kwargs["seed"] = seed
+    task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn,
+                               prompt=prompt, negative_prompt=nprompt, **kwargs, token=HF_TOKEN))
     await asyncio.sleep(0)
     try:
         result = await asyncio.wait_for(task, timeout=timeout)
-    except (Exception, asyncio.TimeoutError) as e:
+    except asyncio.TimeoutError as e:
         print(e)
-        print(f"Task timed-out: {model_str}")
+        print(f"Task timed out: {model_str}")
         if not task.done(): task.cancel()
         result = None
-    return result
+        raise Exception(f"Task timed out: {model_str}") from e
+    except Exception as e:
+        print(e)
+        if not task.done(): task.cancel()
+        result = None
+        raise Exception() from e
+    if task.done() and result is not None and not isinstance(result, tuple):
+        with lock:
+            png_path = "image.png"
+            image = save_image(result, png_path, model_str, prompt, nprompt, height, width, steps, cfg, seed)
+        return image
+    return None
 
 
-def gen_fn(model_str, prompt):
-    if model_str == 'NA':
-        return None
+def gen_fn(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, seed=-1):
     try:
         loop = asyncio.new_event_loop()
-        result = loop.run_until_complete(infer(model_str, prompt, timeout))
+        result = loop.run_until_complete(infer(model_str, prompt, nprompt,
+                                         height, width, steps, cfg, seed, inference_timeout))
     except (Exception, asyncio.CancelledError) as e:
         print(e)
         print(f"Task aborted: {model_str}")
         result = None
+        raise gr.Error(f"Task aborted: {model_str}, Error: {e}")
     finally:
         loop.close()
     return result
 
 
-def gen_fn_gallery(model_str, prompt, gallery):
+def add_gallery(image, model_str, gallery):
     if gallery is None: gallery = []
-    if model_str == 'NA':
-        yield gallery
-    try:
-        loop = asyncio.new_event_loop()
-        result = loop.run_until_complete(infer(model_str, prompt, timeout))
-        if result: gallery.append(result)
-    except (Exception, asyncio.CancelledError) as e:
-        print(e)
-        print(f"Task aborted: {model_str}")
-    finally:
-        loop.close()
-    yield gallery
+    with lock:
+        if image is not None: gallery.insert(0, (image, model_str))
+    return gallery
 
 
 CSS="""
-.output { width=480px; height=480px !important; }
+.gradio-container { max-width: 1200px; margin: 0 auto; !important; }
+.output { width=112px; height=112px; max_width=112px; max_height=112px; !important; }
+.gallery { min_width=512px; min_height=512px; max_height=1024px; !important; }
+.guide { text-align: center; !important; }
 """
 
-with gr.Blocks(css=CSS) as demo:
-    with gr.Tab('The Dream'): 
-        txt_input = gr.Textbox(label = 'Your prompt:', lines=4) #.style(container=False,min_width=1200)
-        gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
-        stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
-        gen_button.click(lambda: gr.update(interactive = True), None, stop_button)
-        gr.HTML(
-        """
-            <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
-              <div>
-                <body>
-                <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
-                </div>
-                </body>
-              </div>
-            </div>
-        """
-               )
-        with gr.Row():
-            #output = [gr.Image(label = m, show_download_button=True, elem_classes="output", show_share_button=True) for m in default_models]
-            output = [gr.Gallery(label = m, show_download_button=True, elem_classes="output", interactive=False, show_share_button=True, container=True, format="png", object_fit="contain") for m in default_models]
-            current_models = [gr.Textbox(m, visible = False) for m in default_models]
-                        
-            for m, o in zip(current_models, output):
-                #gen_event = gen_button.click(gen_fn, [m, txt_input], o)
-                gen_event = gen_button.click(gen_fn_gallery, [m, txt_input, o], o)
-                stop_button.click(lambda: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
-        with gr.Accordion('Model selection'):
-            model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 866 available!', value = default_models, interactive = True)
-            #model_choice.change(update_imgbox, model_choice, output)
-            model_choice.change(update_imgbox_gallery, model_choice, output)
-            model_choice.change(extend_choices, model_choice, current_models)
-        with gr.Row():
-            gr.HTML(
+
+with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', fill_width=True, css=CSS) as demo:
+    gr.HTML(
     """
-        <div class="footer">
-        <p> Based on the <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!
-        </p>
+        <div>
+        <p> <center>For simultaneous generations without hidden queue check out <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! For more options like single model x6 check out <a href="https://huggingface.co/spaces/John6666/Diffusion80XX4sg">Diffusion80XX4sg</a> by John6666!</center>
+        </p></div>
     """
-)
-
-demo.queue()
-demo.launch()
+)  
+    with gr.Tab('Huggingface Diffusion'):
+        with gr.Column(scale=2):
+            with gr.Group():
+                txt_input = gr.Textbox(label='Your prompt:', lines=4)
+                neg_input = gr.Textbox(label='Negative prompt:', lines=1)
+                with gr.Accordion("Advanced", open=False, visible=True):
+                    with gr.Row():
+                        width = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
+                        height = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
+                    with gr.Row():
+                        steps = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
+                        cfg = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
+                        seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
+                        seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")
+                        seed_rand.click(randomize_seed, None, [seed], queue=False)
+            with gr.Row():
+                gen_button = gr.Button(f'Generate up to {int(num_models)} images in up to 3 minutes total', variant='primary', scale=3)
+                random_button = gr.Button(f'Random {int(num_models)} 🎲', variant='secondary', scale=1)
+                #stop_button = gr.Button('Stop', variant='stop', interactive=False, scale=1)
+                #gen_button.click(lambda: gr.update(interactive=True), None, stop_button)
+            gr.Markdown("Scroll down to see more images and select models.", elem_classes="guide")
+
+        with gr.Column(scale=1):
+            with gr.Group():
+                with gr.Row():
+                    output = [gr.Image(label=m, show_download_button=True, elem_classes="output",
+                              interactive=False, width=112, height=112, show_share_button=False, format="png",
+                              visible=True) for m in default_models]
+                    current_models = [gr.Textbox(m, visible=False) for m in default_models]
+
+        with gr.Column(scale=2):
+            gallery = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery",
+                                interactive=False, show_share_button=True, container=True, format="png",
+                                preview=True, object_fit="cover", columns=2, rows=2) 
+
+        for m, o in zip(current_models, output):
+            gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn,
+                              inputs=[m, txt_input, neg_input, height, width, steps, cfg, seed], outputs=[o],
+                              concurrency_limit=None, queue=False) # Be sure to delete ", queue=False" when activating the stop button
+            o.change(add_gallery, [o, m, gallery], [gallery])
+            #stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event])
+
+        with gr.Column(scale=4):
+            with gr.Accordion('Model selection'):
+                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)
+                model_choice.change(update_imgbox, model_choice, output)
+                model_choice.change(extend_choices, model_choice, current_models)
+                random_button.click(random_choices, None, model_choice)
+
+    with gr.Tab('Single model'):
+        with gr.Column(scale=2):
+            model_choice2 = gr.Dropdown(models, label='Choose model', value=models[0])
+            with gr.Group():
+                txt_input2 = gr.Textbox(label='Your prompt:', lines=4)
+                neg_input2 = gr.Textbox(label='Negative prompt:', lines=1)
+                with gr.Accordion("Advanced", open=False, visible=True):
+                    with gr.Row():
+                        width2 = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
+                        height2 = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
+                    with gr.Row():
+                        steps2 = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
+                        cfg2 = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
+                        seed2 = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
+                        seed_rand2 = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")
+                        seed_rand2.click(randomize_seed, None, [seed2], queue=False)
+            num_images = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images')
+            with gr.Row():
+                gen_button2 = gr.Button('Generate', variant='primary', scale=2)
+                #stop_button2 = gr.Button('Stop', variant='stop', interactive=False, scale=1)
+                #gen_button2.click(lambda: gr.update(interactive=True), None, stop_button2)
+
+        with gr.Column(scale=1):
+            with gr.Group():
+                with gr.Row():
+                    output2 = [gr.Image(label='', show_download_button=True, elem_classes="output",
+                               interactive=False, width=112, height=112, visible=True, format="png",
+                               show_share_button=False, show_label=False) for _ in range(max_images)]
+
+        with gr.Column(scale=2):
+            gallery2 = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery",
+                                interactive=False, show_share_button=True, container=True, format="png",
+                                preview=True, object_fit="cover", columns=2, rows=2) 
+
+        for i, o in enumerate(output2):
+            img_i = gr.Number(i, visible=False)
+            num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o, queue=False)
+            gen_event2 = gr.on(triggers=[gen_button2.click, txt_input2.submit],
+                               fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5: gen_fn(m, t1, t2, n1, n2, n3, n4, n5) if (i < n) else None,
+                               inputs=[img_i, num_images, model_choice2, txt_input2, neg_input2,
+                                       height2, width2, steps2, cfg2, seed2], outputs=[o],
+                                       concurrency_limit=None, queue=False)  # Be sure to delete ", queue=False" when activating the stop button
+            o.change(add_gallery, [o, model_choice2, gallery2], [gallery2])
+            #stop_button2.click(lambda: gr.update(interactive=False), None, stop_button2, cancels=[gen_event2])
+
+    gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!")
+
+#demo.queue(default_concurrency_limit=200, max_size=200)
+demo.launch(show_api=False, max_threads=400)
+# https://github.com/gradio-app/gradio/issues/6339

externalmod.py

@@ -9,7 +9,7 @@ import re
 import tempfile
 import warnings
 from pathlib import Path
-from typing import TYPE_CHECKING, Callable
+from typing import TYPE_CHECKING, Callable, Literal
 
 import httpx
 import huggingface_hub
@@ -33,11 +33,15 @@ if TYPE_CHECKING:
     from gradio.interface import Interface
 
 
+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.
+server_timeout = 600
+
+
 @document()
 def load(
     name: str,
     src: str | None = None,
-    hf_token: str | None = None,
+    hf_token: str | Literal[False] | None = None,
     alias: str | None = None,
     **kwargs,
 ) -> Blocks:
@@ -48,7 +52,7 @@ def load(
     Parameters:
         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")
         src: the source of the model: `models` or `spaces` (or leave empty if source is provided as a prefix in `name`)
-        hf_token: optional access token for loading private Hugging Face Hub models or spaces. Find your token here: https://huggingface.co/settings/tokens.  Warning: only provide this if you are loading a trusted private Space as it can be read by the Space you are loading.
+        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.
         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)
     Returns:
         a Gradio Blocks object for the given model
@@ -65,7 +69,7 @@ def load(
 def load_blocks_from_repo(
     name: str,
     src: str | None = None,
-    hf_token: str | None = None,
+    hf_token: str | Literal[False] | None = None,
     alias: str | None = None,
     **kwargs,
 ) -> Blocks:
@@ -89,7 +93,7 @@ def load_blocks_from_repo(
     if src.lower() not in factory_methods:
         raise ValueError(f"parameter: src must be one of {factory_methods.keys()}")
 
-    if hf_token is not None:
+    if hf_token is not None and hf_token is not False:
         if Context.hf_token is not None and Context.hf_token != hf_token:
             warnings.warn(
                 """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."""
@@ -100,12 +104,16 @@ def load_blocks_from_repo(
     return blocks
 
 
-def from_model(model_name: str, hf_token: str | None, alias: str | None, **kwargs):
+def from_model(
+    model_name: str, hf_token: str | Literal[False] | None, alias: str | None, **kwargs
+):
     model_url = f"https://huggingface.co/{model_name}"
     api_url = f"https://api-inference.huggingface.co/models/{model_name}"
     print(f"Fetching model from: {model_url}")
 
-    headers = {"Authorization": f"Bearer {hf_token}"} if hf_token is not None else {}
+    headers = (
+        {} if hf_token in [False, None] else {"Authorization": f"Bearer {hf_token}"}
+    )
     response = httpx.request("GET", api_url, headers=headers)
     if response.status_code != 200:
         raise ModelNotFoundError(
@@ -115,7 +123,7 @@ def from_model(model_name: str, hf_token: str | None, alias: str | None, **kwarg
 
     headers["X-Wait-For-Model"] = "true"
     client = huggingface_hub.InferenceClient(
-        model=model_name, headers=headers, token=hf_token, timeout=120,
+        model=model_name, headers=headers, token=hf_token, timeout=server_timeout,
     )
 
     # For tasks that are not yet supported by the InferenceClient
@@ -365,10 +373,14 @@ def from_model(model_name: str, hf_token: str | None, alias: str | None, **kwarg
     else:
         raise ValueError(f"Unsupported pipeline type: {p}")
 
-    def query_huggingface_inference_endpoints(*data):
+    def query_huggingface_inference_endpoints(*data, **kwargs):
         if preprocess is not None:
             data = preprocess(*data)
-        data = fn(*data)  # type: ignore
+        try:
+            data = fn(*data, **kwargs)  # type: ignore
+        except huggingface_hub.utils.HfHubHTTPError as e:
+            if "429" in str(e):
+                raise TooManyRequestsError() from e
         if postprocess is not None:
             data = postprocess(data)  # type: ignore
         return data
@@ -380,7 +392,7 @@ def from_model(model_name: str, hf_token: str | None, alias: str | None, **kwarg
         "inputs": inputs,
         "outputs": outputs,
         "title": model_name,
-    #    "examples": examples,
+        #"examples": examples,
     }
 
     kwargs = dict(interface_info, **kwargs)
@@ -391,19 +403,12 @@ def from_model(model_name: str, hf_token: str | None, alias: str | None, **kwarg
 def from_spaces(
     space_name: str, hf_token: str | None, alias: str | None, **kwargs
 ) -> Blocks:
-    client = Client(
-        space_name,
-        hf_token=hf_token,
-        download_files=False,
-        _skip_components=False,
-    )
-
     space_url = f"https://huggingface.co/spaces/{space_name}"
 
     print(f"Fetching Space from: {space_url}")
 
     headers = {}
-    if hf_token is not None:
+    if hf_token not in [False, None]:
         headers["Authorization"] = f"Bearer {hf_token}"
 
     iframe_url = (
@@ -440,8 +445,7 @@ def from_spaces(
                 "Blocks or Interface locally. You may find this Guide helpful: "
                 "https://gradio.app/using_blocks_like_functions/"
             )
-        if client.app_version < version.Version("4.0.0b14"):
-            return from_spaces_blocks(space=space_name, hf_token=hf_token)
+        return from_spaces_blocks(space=space_name, hf_token=hf_token)
 
 
 def from_spaces_blocks(space: str, hf_token: str | None) -> Blocks:
@@ -486,7 +490,7 @@ def from_spaces_interface(
     config = external_utils.streamline_spaces_interface(config)
     api_url = f"{iframe_url}/api/predict/"
     headers = {"Content-Type": "application/json"}
-    if hf_token is not None:
+    if hf_token not in [False, None]:
         headers["Authorization"] = f"Bearer {hf_token}"
 
     # The function should call the API with preprocessed data
@@ -526,6 +530,83 @@ def gr_Interface_load(
     src: str | None = None,
     hf_token: str | None = None,
     alias: str | None = None,
-    **kwargs,
+    **kwargs, # ignore
 ) -> Blocks:
-    return load_blocks_from_repo(name, src, hf_token, alias)
+    try:
+        return load_blocks_from_repo(name, src, hf_token, alias)
+    except Exception as e:
+        print(e)
+        return gradio.Interface(lambda: None, ['text'], ['image'])
+
+
+def list_uniq(l):
+    return sorted(set(l), key=l.index)
+
+
+def get_status(model_name: str):
+    from huggingface_hub import AsyncInferenceClient
+    client = AsyncInferenceClient(token=HF_TOKEN, timeout=10)
+    return client.get_model_status(model_name)
+
+
+def is_loadable(model_name: str, force_gpu: bool = False):
+    try:
+        status = get_status(model_name)
+    except Exception as e:
+        print(e)
+        print(f"Couldn't load {model_name}.")
+        return False
+    gpu_state = isinstance(status.compute_type, dict) and "gpu" in status.compute_type.keys()
+    if status is None or status.state not in ["Loadable", "Loaded"] or (force_gpu and not gpu_state):
+        print(f"Couldn't load {model_name}. Model state:'{status.state}', GPU:{gpu_state}")
+    return status is not None and status.state in ["Loadable", "Loaded"] and (not force_gpu or gpu_state)
+
+
+def find_model_list(author: str="", tags: list[str]=[], not_tag="", sort: str="last_modified", limit: int=30, force_gpu=False, check_status=False):
+    from huggingface_hub import HfApi
+    api = HfApi(token=HF_TOKEN)
+    default_tags = ["diffusers"]
+    if not sort: sort = "last_modified"
+    limit = limit * 20 if check_status and force_gpu else limit * 5
+    models = []
+    try:
+        model_infos = api.list_models(author=author, #task="text-to-image",
+                                       tags=list_uniq(default_tags + tags), cardData=True, sort=sort, limit=limit)
+    except Exception as e:
+        print(f"Error: Failed to list models.")
+        print(e)
+        return models
+    for model in model_infos:
+        if not model.private and not model.gated or HF_TOKEN is not None:
+           loadable = is_loadable(model.id, force_gpu) if check_status else True
+           if not_tag and not_tag in model.tags or not loadable: continue
+           models.append(model.id)
+           if len(models) == limit: break
+    return models
+
+
+def save_image(image, savefile, modelname, prompt, nprompt, height=0, width=0, steps=0, cfg=0, seed=-1):
+    from PIL import Image, PngImagePlugin
+    import json
+    try:
+        metadata = {"prompt": prompt, "negative_prompt": nprompt, "Model": {"Model": modelname.split("/")[-1]}}
+        if steps > 0: metadata["num_inference_steps"] = steps
+        if cfg > 0: metadata["guidance_scale"] = cfg
+        if seed != -1: metadata["seed"] = seed
+        if width > 0 and height > 0: metadata["resolution"] = f"{width} x {height}"
+        metadata_str = json.dumps(metadata)
+        info = PngImagePlugin.PngInfo()
+        info.add_text("metadata", metadata_str)
+        image.save(savefile, "PNG", pnginfo=info)
+        return str(Path(savefile).resolve())
+    except Exception as e:
+        print(f"Failed to save image file: {e}")
+        raise Exception(f"Failed to save image file:") from e
+
+
+def randomize_seed():
+    from random import seed, randint
+    MAX_SEED = 2**32-1
+    seed()
+    rseed = randint(0, MAX_SEED)
+    return rseed