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| import os | |
| import numpy as np | |
| import torch | |
| import PIL.Image | |
| import gradio as gr | |
| import dnnlib | |
| import legacy | |
| from huggingface_hub import hf_hub_download | |
| # ImageNet class names (1000 classes) | |
| imagenet_classes = { | |
| 0: "tench, Tinca tinca", | |
| 1: "goldfish, Carassius auratus", | |
| 2: "great white shark, white shark, man-eater, man-eating shark, Carcharodon caharias',", | |
| 3: "tiger shark, Galeocerdo cuvieri", | |
| 4: "hammerhead, hammerhead shark", | |
| 5: "electric ray, crampfish, numbfish, torpedo", | |
| 6: "stingray", | |
| 7: "cock", | |
| 8: "hen", | |
| 9: "ostrich, Struthio camelus", | |
| 10: "brambling, Fringilla montifringilla", | |
| 11: "goldfinch, Carduelis carduelis", | |
| 12: "house finch, linnet, Carpodacus mexicanus", | |
| 13: "junco, snowbird", | |
| 14: "indigo bunting, indigo finch, indigo bird, Passerina cyanea", | |
| 15: "robin, American robin, Turdus migratorius", | |
| 16: "bulbul", | |
| 17: "jay", | |
| 18: "magpie", | |
| 19: "chickadee", | |
| 20: "water ouzel, dipper", | |
| 21: "kite", | |
| 22: "bald eagle, American eagle, Haliaeetus leucocephalus", | |
| 23: "vulture", | |
| 24: "great grey owl, great gray owl, Strix nebulosa", | |
| 25: "European fire salamander, Salamandra salamandra", | |
| 26: "common newt, Triturus vulgaris", | |
| 27: "eft", | |
| 28: "spotted salamander, Ambystoma maculatum", | |
| 29: "axolotl, mud puppy, Ambystoma mexicanum", | |
| 30: "bullfrog, Rana catesbeiana", | |
| 31: "tree frog, tree-frog", | |
| 32: "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", | |
| 33: "loggerhead, loggerhead turtle, Caretta caretta", | |
| 34: "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", | |
| 35: "mud turtle", | |
| 36: "terrapin", | |
| 37: "box turtle, box tortoise", | |
| 38: "banded gecko", | |
| 39: "common iguana, iguana, Iguana iguana", | |
| 40: "American chameleon, anole, Anolis carolinensis", | |
| 41: "whiptail, whiptail lizard", | |
| 42: "agama", | |
| 43: "frilled lizard, Chlamydosaurus kingi", | |
| 44: "alligator lizard", | |
| 45: "Gila monster, Heloderma suspectum", | |
| 46: "green lizard, Lacerta viridis", | |
| 47: "African chameleon, Chamaeleo chamaeleon", | |
| 48: "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoeis',", | |
| 49: "African crocodile, Nile crocodile, Crocodylus niloticus", | |
| 50: "American alligator, Alligator mississipiensis", | |
| 51: "triceratops", | |
| 52: "thunder snake, worm snake, Carphophis amoenus", | |
| 53: "ringneck snake, ring-necked snake, ring snake", | |
| 54: "hognose snake, puff adder, sand viper", | |
| 55: "green snake, grass snake", | |
| 56: "king snake, kingsnake", | |
| 57: "garter snake, grass snake", | |
| 58: "water snake", | |
| 59: "vine snake", | |
| 60: "night snake, Hypsiglena torquata", | |
| 61: "boa constrictor, Constrictor constrictor", | |
| 62: "rock python, rock snake, Python sebae", | |
| 63: "Indian cobra, Naja naja", | |
| 64: "green mamba", | |
| 65: "sea snake", | |
| 66: "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", | |
| 67: "diamondback, diamondback rattlesnake, Crotalus adamanteus", | |
| 68: "sidewinder, horned rattlesnake, Crotalus cerastes", | |
| 69: "trilobite", | |
| 70: "harvestman, daddy longlegs, Phalangium opilio", | |
| 71: "scorpion", | |
| 72: "black and gold garden spider, Argiope aurantia", | |
| 73: "barn spider, Araneus cavaticus", | |
| 74: "garden spider, Aranea diademata", | |
| 75: "black widow, Latrodectus mactans", | |
| 76: "tarantula", | |
| 77: "wolf spider, hunting spider", | |
| 78: "tick", | |
| 79: "centipede", | |
| 80: "black grouse", | |
| 81: "ptarmigan", | |
| 82: "ruffed grouse, partridge, Bonasa umbellus", | |
| 83: "prairie chicken, prairie grouse, prairie fowl", | |
| 84: "peacock", | |
| 85: "quail", | |
| 86: "partridge", | |
| 87: "African grey, African gray, Psittacus erithacus", | |
| 88: "macaw", | |
| 89: "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", | |
| 90: "lorikeet", | |
| 91: "coucal", | |
| 92: "bee eater", | |
| 93: "hornbill", | |
| 94: "hummingbird", | |
| 95: "jacamar", | |
| 96: "toucan", | |
| 97: "drake", | |
| 98: "red-breasted merganser, Mergus serrator", | |
| 99: "goose", | |
| 100: "black swan, Cygnus atratus", | |
| 101: "tusker", | |
| 102: "echidna, spiny anteater, anteater", | |
| 103: "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhyhus anatinus',", | |
| 104: "wallaby, brush kangaroo", | |
| 105: "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", | |
| 106: "wombat", | |
| 107: "jellyfish", | |
| 108: "sea anemone, anemone", | |
| 109: "brain coral", | |
| 110: "flatworm, platyhelminth", | |
| 111: "nematode, nematode worm, roundworm", | |
| 112: "conch", | |
| 113: "snail", | |
| 114: "slug", | |
| 115: "sea slug, nudibranch", | |
| 116: "chiton, coat-of-mail shell, sea cradle, polyplacophore", | |
| 117: "chambered nautilus, pearly nautilus, nautilus", | |
| 118: "Dungeness crab, Cancer magister", | |
| 119: "rock crab, Cancer irroratus", | |
| 120: "fiddler crab", | |
| 121: "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodesamtschatica',", | |
| 122: "American lobster, Northern lobster, Maine lobster, Homarus americanus", | |
| 123: "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", | |
| 124: "crayfish, crawfish, crawdad, crawdaddy", | |
| 125: "hermit crab", | |
| 126: "isopod", | |
| 127: "white stork, Ciconia ciconia", | |
| 128: "black stork, Ciconia nigra", | |
| 129: "spoonbill", | |
| 130: "flamingo", | |
| 131: "little blue heron, Egretta caerulea", | |
| 132: "American egret, great white heron, Egretta albus", | |
| 133: "bittern", | |
| 134: "crane, bird", | |
| 135: "limpkin, Aramus pictus", | |
| 136: "European gallinule, Porphyrio porphyrio", | |
| 137: "American coot, marsh hen, mud hen, water hen, Fulica americana", | |
| 138: "bustard", | |
| 139: "ruddy turnstone, Arenaria interpres", | |
| 140: "red-backed sandpiper, dunlin, Erolia alpina", | |
| 141: "redshank, Tringa totanus", | |
| 142: "dowitcher", | |
| 143: "oystercatcher, oyster catcher", | |
| 144: "pelican", | |
| 145: "king penguin, Aptenodytes patagonica", | |
| 146: "albatross, mollymawk", | |
| 147: "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius rostus',", | |
| 148: "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", | |
| 149: "dugong, Dugong dugon", | |
| 150: "sea lion", | |
| 151: "Chihuahua", | |
| 152: "Japanese spaniel", | |
| 153: "Maltese dog, Maltese terrier, Maltese", | |
| 154: "Pekinese, Pekingese, Peke", | |
| 155: "Shih-Tzu", | |
| 156: "Blenheim spaniel", | |
| 157: "papillon", | |
| 158: "toy terrier", | |
| 159: "Rhodesian ridgeback", | |
| 160: "Afghan hound, Afghan", | |
| 161: "basset, basset hound", | |
| 162: "beagle", | |
| 163: "bloodhound, sleuthhound", | |
| 164: "bluetick", | |
| 165: "black-and-tan coonhound", | |
| 166: "Walker hound, Walker foxhound", | |
| 167: "English foxhound", | |
| 168: "redbone", | |
| 169: "borzoi, Russian wolfhound", | |
| 170: "Irish wolfhound", | |
| 171: "Italian greyhound", | |
| 172: "whippet", | |
| 173: "Ibizan hound, Ibizan Podenco", | |
| 174: "Norwegian elkhound, elkhound", | |
| 175: "otterhound, otter hound", | |
| 176: "Saluki, gazelle hound", | |
| 177: "Scottish deerhound, deerhound", | |
| 178: "Weimaraner", | |
| 179: "Staffordshire bullterrier, Staffordshire bull terrier", | |
| 180: "American Staffordshire terrier, Staffordshire terrier, American pit bull rrier, pit bull terrier',", | |
| 181: "Bedlington terrier", | |
| 182: "Border terrier", | |
| 183: "Kerry blue terrier", | |
| 184: "Irish terrier", | |
| 185: "Norfolk terrier", | |
| 186: "Norwich terrier", | |
| 187: "Yorkshire terrier", | |
| 188: "wire-haired fox terrier", | |
| 189: "Lakeland terrier", | |
| 190: "Sealyham terrier, Sealyham", | |
| 191: "Airedale, Airedale terrier", | |
| 192: "cairn, cairn terrier", | |
| 193: "Australian terrier", | |
| 194: "Dandie Dinmont, Dandie Dinmont terrier", | |
| 195: "Boston bull, Boston terrier", | |
| 196: "miniature schnauzer", | |
| 197: "giant schnauzer", | |
| 198: "standard schnauzer", | |
| 199: "Scotch terrier, Scottish terrier, Scottie", | |
| 200: "Tibetan terrier, chrysanthemum dog", | |
| 201: "silky terrier, Sydney silky", | |
| 202: "soft-coated wheaten terrier", | |
| 203: "West Highland white terrier", | |
| 204: "Lhasa, Lhasa apso", | |
| 205: "flat-coated retriever", | |
| 206: "curly-coated retriever", | |
| 207: "golden retriever", | |
| 208: "Labrador retriever", | |
| 209: "Chesapeake Bay retriever", | |
| 210: "German short-haired pointer", | |
| 211: "vizsla, Hungarian pointer", | |
| 212: "English setter", | |
| 213: "Irish setter, red setter", | |
| 214: "Gordon setter", | |
| 215: "Brittany spaniel", | |
| 216: "clumber, clumber spaniel", | |
| 217: "English springer, English springer spaniel", | |
| 218: "Welsh springer spaniel", | |
| 219: "cocker spaniel, English cocker spaniel, cocker", | |
| 220: "Sussex spaniel", | |
| 221: "Irish water spaniel", | |
| 222: "kuvasz", | |
| 223: "schipperke", | |
| 224: "groenendael", | |
| 225: "malinois", | |
| 226: "briard", | |
| 227: "kelpie", | |
| 228: "komondor", | |
| 229: "Old English sheepdog, bobtail", | |
| 230: "Shetland sheepdog, Shetland sheep dog, Shetland", | |
| 231: "collie", | |
| 232: "Border collie", | |
| 233: "Bouvier des Flandres, Bouviers des Flandres", | |
| 234: "Rottweiler", | |
| 235: "German shepherd, German shepherd dog, German police dog, alsatian", | |
| 236: "Doberman, Doberman pinscher", | |
| 237: "miniature pinscher", | |
| 238: "Greater Swiss Mountain dog", | |
| 239: "Bernese mountain dog", | |
| 240: "Appenzeller", | |
| 241: "EntleBucher", | |
| 242: "boxer", | |
| 243: "bull mastiff", | |
| 244: "Tibetan mastiff", | |
| 245: "French bulldog", | |
| 246: "Great Dane", | |
| 247: "Saint Bernard, St Bernard", | |
| 248: "Eskimo dog, husky", | |
| 249: "malamute, malemute, Alaskan malamute", | |
| 250: "Siberian husky", | |
| 251: "dalmatian, coach dog, carriage dog", | |
| 252: "affenpinscher, monkey pinscher, monkey dog", | |
| 253: "basenji", | |
| 254: "pug, pug-dog", | |
| 255: "Leonberg", | |
| 256: "Newfoundland, Newfoundland dog", | |
| 257: "Great Pyrenees", | |
| 258: "Samoyed, Samoyede", | |
| 259: "Pomeranian", | |
| 260: "chow, chow chow", | |
| 261: "keeshond", | |
| 262: "Brabancon griffon", | |
| 263: "Pembroke, Pembroke Welsh corgi", | |
| 264: "Cardigan, Cardigan Welsh corgi", | |
| 265: "toy poodle", | |
| 266: "miniature poodle", | |
| 267: "standard poodle", | |
| 268: "Mexican hairless", | |
| 269: "timber wolf, grey wolf, gray wolf, Canis lupus", | |
| 270: "white wolf, Arctic wolf, Canis lupus tundrarum", | |
| 271: "red wolf, maned wolf, Canis rufus, Canis niger", | |
| 272: "coyote, prairie wolf, brush wolf, Canis latrans", | |
| 273: "dingo, warrigal, warragal, Canis dingo", | |
| 274: "dhole, Cuon alpinus", | |
| 275: "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", | |
| 276: "hyena, hyaena", | |
| 277: "red fox, Vulpes vulpes", | |
| 278: "kit fox, Vulpes macrotis", | |
| 279: "Arctic fox, white fox, Alopex lagopus", | |
| 280: "grey fox, gray fox, Urocyon cinereoargenteus", | |
| 281: "tabby, tabby cat", | |
| 282: "tiger cat", | |
| 283: "Persian cat", | |
| 284: "Siamese cat, Siamese", | |
| 285: "Egyptian cat", | |
| 286: "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", | |
| 287: "lynx, catamount", | |
| 288: "leopard, Panthera pardus", | |
| 289: "snow leopard, ounce, Panthera uncia", | |
| 290: "jaguar, panther, Panthera onca, Felis onca", | |
| 291: "lion, king of beasts, Panthera leo", | |
| 292: "tiger, Panthera tigris", | |
| 293: "cheetah, chetah, Acinonyx jubatus", | |
| 294: "brown bear, bruin, Ursus arctos", | |
| 295: "American black bear, black bear, Ursus americanus, Euarctos americanus", | |
| 296: "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", | |
| 297: "sloth bear, Melursus ursinus, Ursus ursinus", | |
| 298: "mongoose", | |
| 299: "meerkat, mierkat", | |
| 300: "tiger beetle", | |
| 301: "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", | |
| 302: "ground beetle, carabid beetle", | |
| 303: "long-horned beetle, longicorn, longicorn beetle", | |
| 304: "leaf beetle, chrysomelid", | |
| 305: "dung beetle", | |
| 306: "rhinoceros beetle", | |
| 307: "weevil", | |
| 308: "fly", | |
| 309: "bee", | |
| 310: "ant, emmet, pismire", | |
| 311: "grasshopper, hopper", | |
| 312: "cricket", | |
| 313: "walking stick, walkingstick, stick insect", | |
| 314: "cockroach, roach", | |
| 315: "mantis, mantid", | |
| 316: "cicada, cicala", | |
| 317: "leafhopper", | |
| 318: "lacewing, lacewing fly", | |
| 319: "dragonfly, darning needle, devil's darning needle, sewing needle, snake fder, snake doctor, mosquito hawk, skeeter hawk", | |
| 320: "damselfly", | |
| 321: "admiral", | |
| 322: "ringlet, ringlet butterfly", | |
| 323: "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", | |
| 324: "cabbage butterfly", | |
| 325: "sulphur butterfly, sulfur butterfly", | |
| 326: "lycaenid, lycaenid butterfly", | |
| 327: "starfish, sea star", | |
| 328: "sea urchin", | |
| 329: "sea cucumber, holothurian", | |
| 330: "wood rabbit, cottontail, cottontail rabbit", | |
| 331: "hare", | |
| 332: "Angora, Angora rabbit", | |
| 333: "hamster", | |
| 334: "porcupine, hedgehog", | |
| 335: "fox squirrel, eastern fox squirrel, Sciurus niger", | |
| 336: "marmot", | |
| 337: "beaver", | |
| 338: "guinea pig, Cavia cobaya", | |
| 339: "sorrel", | |
| 340: "zebra", | |
| 341: "hog, pig, grunter, squealer, Sus scrofa", | |
| 342: "wild boar, boar, Sus scrofa", | |
| 343: "warthog", | |
| 344: "hippopotamus, hippo, river horse, Hippopotamus amphibius", | |
| 345: "ox", | |
| 346: "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", | |
| 347: "bison", | |
| 348: "ram, tup", | |
| 349: "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain eep, Ovis canadensis',", | |
| 350: "ibex, Capra ibex", | |
| 351: "hartebeest", | |
| 352: "impala, Aepyceros melampus", | |
| 353: "gazelle", | |
| 354: "Arabian camel, dromedary, Camelus dromedarius", | |
| 355: "llama", | |
| 356: "weasel", | |
| 357: "mink", | |
| 358: "polecat, fitch, foulmart, foumart, Mustela putorius", | |
| 359: "black-footed ferret, ferret, Mustela nigripes", | |
| 360: "otter", | |
| 361: "skunk, polecat, wood pussy", | |
| 362: "badger", | |
| 363: "armadillo", | |
| 364: "three-toed sloth, ai, Bradypus tridactylus", | |
| 365: "orangutan, orang, orangutang, Pongo pygmaeus", | |
| 366: "gorilla, Gorilla gorilla", | |
| 367: "chimpanzee, chimp, Pan troglodytes", | |
| 368: "gibbon, Hylobates lar", | |
| 369: "siamang, Hylobates syndactylus, Symphalangus syndactylus", | |
| 370: "guenon, guenon monkey", | |
| 371: "patas, hussar monkey, Erythrocebus patas", | |
| 372: "baboon", | |
| 373: "macaque", | |
| 374: "langur", | |
| 375: "colobus, colobus monkey", | |
| 376: "proboscis monkey, Nasalis larvatus", | |
| 377: "marmoset", | |
| 378: "capuchin, ringtail, Cebus capucinus", | |
| 379: "howler monkey, howler", | |
| 380: "titi, titi monkey", | |
| 381: "spider monkey, Ateles geoffroyi", | |
| 382: "squirrel monkey, Saimiri sciureus", | |
| 383: "Madagascar cat, ring-tailed lemur, Lemur catta", | |
| 384: "indri, indris, Indri indri, Indri brevicaudatus", | |
| 385: "Indian elephant, Elephas maximus", | |
| 386: "African elephant, Loxodonta africana", | |
| 387: "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", | |
| 388: "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", | |
| 389: "barracouta, snoek", | |
| 390: "eel", | |
| 391: "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", | |
| 392: "rock beauty, Holocanthus tricolor", | |
| 393: "anemone fish", | |
| 394: "sturgeon", | |
| 395: "gar, garfish, garpike, billfish, Lepisosteus osseus", | |
| 396: "lionfish", | |
| 397: "puffer, pufferfish, blowfish, globefish", | |
| 398: "abacus", | |
| 399: "abaya", | |
| 400: "academic gown, academic robe, judge's robe", | |
| 401: "accordion, piano accordion, squeeze box", | |
| 402: "acoustic guitar", | |
| 403: "aircraft carrier, carrier, flattop, attack aircraft carrier", | |
| 404: "airliner", | |
| 405: "airship, dirigible", | |
| 406: "altar", | |
| 407: "ambulance", | |
| 408: "amphibian, amphibious vehicle", | |
| 409: "analog clock", | |
| 410: "apiary, bee house", | |
| 411: "apron", | |
| 412: "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustb, trash barrel, trash bin',", | |
| 413: "assault rifle, assault gun", | |
| 414: "backpack, back pack, knapsack, packsack, rucksack, haversack", | |
| 415: "bakery, bakeshop, bakehouse", | |
| 416: "balance beam, beam", | |
| 417: "balloon", | |
| 418: "ballpoint, ballpoint pen, ballpen, Biro", | |
| 419: "Band Aid", | |
| 420: "banjo", | |
| 421: "bannister, banister, balustrade, balusters, handrail", | |
| 422: "barbell", | |
| 423: "barber chair", | |
| 424: "barbershop", | |
| 425: "barn", | |
| 426: "barometer", | |
| 427: "barrel, cask", | |
| 428: "barrow, garden cart, lawn cart, wheelbarrow", | |
| 429: "baseball", | |
| 430: "basketball", | |
| 431: "bassinet", | |
| 432: "bassoon", | |
| 433: "bathing cap, swimming cap", | |
| 434: "bath towel", | |
| 435: "bathtub, bathing tub, bath, tub", | |
| 436: "beach wagon, station wagon, wagon, estate car, beach waggon, station wagg, waggon',", | |
| 437: "beacon, lighthouse, beacon light, pharos", | |
| 438: "beaker", | |
| 439: "bearskin, busby, shako", | |
| 440: "beer bottle", | |
| 441: "beer glass", | |
| 442: "bell cote, bell cot", | |
| 443: "bib", | |
| 444: "bicycle-built-for-two, tandem bicycle, tandem", | |
| 445: "bikini, two-piece", | |
| 446: "binder, ring-binder", | |
| 447: "binoculars, field glasses, opera glasses", | |
| 448: "birdhouse", | |
| 449: "boathouse", | |
| 450: "bobsled, bobsleigh, bob", | |
| 451: "bolo tie, bolo, bola tie, bola", | |
| 452: "bonnet, poke bonnet", | |
| 453: "bookcase", | |
| 454: "bookshop, bookstore, bookstall", | |
| 455: "bottlecap", | |
| 456: "bow", | |
| 457: "bow tie, bow-tie, bowtie", | |
| 458: "brass, memorial tablet, plaque", | |
| 459: "brassiere, bra, bandeau", | |
| 460: "breakwater, groin, groyne, mole, bulwark, seawall, jetty", | |
| 461: "breastplate, aegis, egis", | |
| 462: "broom", | |
| 463: "bucket, pail", | |
| 464: "buckle", | |
| 465: "bulletproof vest", | |
| 466: "bullet train, bullet", | |
| 467: "butcher shop, meat market", | |
| 468: "cab, hack, taxi, taxicab", | |
| 469: "caldron, cauldron", | |
| 470: "candle, taper, wax light", | |
| 471: "cannon", | |
| 472: "canoe", | |
| 473: "can opener, tin opener", | |
| 474: "cardigan", | |
| 475: "car mirror", | |
| 476: "carousel, carrousel, merry-go-round, roundabout, whirligig", | |
| 477: "carpenter's kit, tool kit", | |
| 478: "carton", | |
| 479: "car wheel", | |
| 480: "cash machine, cash dispenser, automated teller machine, automatic teller chine, automated teller, automatic teller, ATM',", | |
| 481: "cassette", | |
| 482: "cassette player", | |
| 483: "castle", | |
| 484: "catamaran", | |
| 485: "CD player", | |
| 486: "cello, violoncello", | |
| 487: "cellular telephone, cellular phone, cellphone, cell, mobile phone", | |
| 488: "chain", | |
| 489: "chainlink fence", | |
| 490: "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring mour',", | |
| 491: "chain saw, chainsaw", | |
| 492: "chest", | |
| 493: "chiffonier, commode", | |
| 494: "chime, bell, gong", | |
| 495: "china cabinet, china closet", | |
| 496: "Christmas stocking", | |
| 497: "church, church building", | |
| 498: "cinema, movie theater, movie theatre, movie house, picture palace", | |
| 499: "cleaver, meat cleaver, chopper", | |
| 500: "cliff dwelling", | |
| 501: "cloak", | |
| 502: "clog, geta, patten, sabot", | |
| 503: "cocktail shaker", | |
| 504: "coffee mug", | |
| 505: "coffeepot", | |
| 506: "coil, spiral, volute, whorl, helix", | |
| 507: "combination lock", | |
| 508: "computer keyboard, keypad", | |
| 509: "confectionery, confectionary, candy store", | |
| 510: "container ship, containership, container vessel", | |
| 511: "convertible", | |
| 512: "corkscrew, bottle screw", | |
| 513: "cornet, horn, trumpet, trump", | |
| 514: "cowboy boot", | |
| 515: "cowboy hat, ten-gallon hat", | |
| 516: "cradle", | |
| 517: "crane", | |
| 518: "crash helmet", | |
| 519: "crate", | |
| 520: "crib, cot", | |
| 521: "Crock Pot", | |
| 522: "croquet ball", | |
| 523: "crutch", | |
| 524: "cuirass", | |
| 525: "dam, dike, dyke", | |
| 526: "desk", | |
| 527: "desktop computer", | |
| 528: "dial telephone, dial phone", | |
| 529: "diaper, nappy, napkin", | |
| 530: "digital clock", | |
| 531: "digital watch", | |
| 532: "dining table, board", | |
| 533: "dishrag, dishcloth", | |
| 534: "dishwasher, dish washer, dishwashing machine", | |
| 535: "disk brake, disc brake", | |
| 536: "dock, dockage, docking facility", | |
| 537: "dogsled, dog sled, dog sleigh", | |
| 538: "dome", | |
| 539: "doormat, welcome mat", | |
| 540: "drilling platform, offshore rig", | |
| 541: "drum, membranophone, tympan", | |
| 542: "drumstick", | |
| 543: "dumbbell", | |
| 544: "Dutch oven", | |
| 545: "electric fan, blower", | |
| 546: "electric guitar", | |
| 547: "electric locomotive", | |
| 548: "entertainment center", | |
| 549: "envelope", | |
| 550: "espresso maker", | |
| 551: "face powder", | |
| 552: "feather boa, boa", | |
| 553: "file, file cabinet, filing cabinet", | |
| 554: "fireboat", | |
| 555: "fire engine, fire truck", | |
| 556: "fire screen, fireguard", | |
| 557: "flagpole, flagstaff", | |
| 558: "flute, transverse flute", | |
| 559: "folding chair", | |
| 560: "football helmet", | |
| 561: "forklift", | |
| 562: "fountain", | |
| 563: "fountain pen", | |
| 564: "four-poster", | |
| 565: "freight car", | |
| 566: "French horn, horn", | |
| 567: "frying pan, frypan, skillet", | |
| 568: "fur coat", | |
| 569: "garbage truck, dustcart", | |
| 570: "gasmask, respirator, gas helmet", | |
| 571: "gas pump, gasoline pump, petrol pump, island dispenser", | |
| 572: "goblet", | |
| 573: "go-kart", | |
| 574: "golf ball", | |
| 575: "golfcart, golf cart", | |
| 576: "gondola", | |
| 577: "gong, tam-tam", | |
| 578: "gown", | |
| 579: "grand piano, grand", | |
| 580: "greenhouse, nursery, glasshouse", | |
| 581: "grille, radiator grille", | |
| 582: "grocery store, grocery, food market, market", | |
| 583: "guillotine", | |
| 584: "hair slide", | |
| 585: "hair spray", | |
| 586: "half track", | |
| 587: "hammer", | |
| 588: "hamper", | |
| 589: "hand blower, blow dryer, blow drier, hair dryer, hair drier", | |
| 590: "hand-held computer, hand-held microcomputer", | |
| 591: "handkerchief, hankie, hanky, hankey", | |
| 592: "hard disc, hard disk, fixed disk", | |
| 593: "harmonica, mouth organ, harp, mouth harp", | |
| 594: "harp", | |
| 595: "harvester, reaper", | |
| 596: "hatchet", | |
| 597: "holster", | |
| 598: "home theater, home theatre", | |
| 599: "honeycomb", | |
| 600: "hook, claw", | |
| 601: "hoopskirt, crinoline", | |
| 602: "horizontal bar, high bar", | |
| 603: "horse cart, horse-cart", | |
| 604: "hourglass", | |
| 605: "iPod", | |
| 606: "iron, smoothing iron", | |
| 607: "jack-o'-lantern", | |
| 608: "jean, blue jean, denim", | |
| 609: "jeep, landrover", | |
| 610: "jersey, T-shirt, tee shirt", | |
| 611: "jigsaw puzzle", | |
| 612: "jinrikisha, ricksha, rickshaw", | |
| 613: "joystick", | |
| 614: "kimono", | |
| 615: "knee pad", | |
| 616: "knot", | |
| 617: "lab coat, laboratory coat", | |
| 618: "ladle", | |
| 619: "lampshade, lamp shade", | |
| 620: "laptop, laptop computer", | |
| 621: "lawn mower, mower", | |
| 622: "lens cap, lens cover", | |
| 623: "letter opener, paper knife, paperknife", | |
| 624: "library", | |
| 625: "lifeboat", | |
| 626: "lighter, light, igniter, ignitor", | |
| 627: "limousine, limo", | |
| 628: "liner, ocean liner", | |
| 629: "lipstick, lip rouge", | |
| 630: "Loafer", | |
| 631: "lotion", | |
| 632: "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", | |
| 633: "loupe, jeweler's loupe", | |
| 634: "lumbermill, sawmill", | |
| 635: "magnetic compass", | |
| 636: "mailbag, postbag", | |
| 637: "mailbox, letter box", | |
| 638: "maillot", | |
| 639: "maillot, tank suit", | |
| 640: "manhole cover", | |
| 641: "maraca", | |
| 642: "marimba, xylophone", | |
| 643: "mask", | |
| 644: "matchstick", | |
| 645: "maypole", | |
| 646: "maze, labyrinth", | |
| 647: "measuring cup", | |
| 648: "medicine chest, medicine cabinet", | |
| 649: "megalith, megalithic structure", | |
| 650: "microphone, mike", | |
| 651: "microwave, microwave oven", | |
| 652: "military uniform", | |
| 653: "milk can", | |
| 654: "minibus", | |
| 655: "miniskirt, mini", | |
| 656: "minivan", | |
| 657: "missile", | |
| 658: "mitten", | |
| 659: "mixing bowl", | |
| 660: "mobile home, manufactured home", | |
| 661: "Model T", | |
| 662: "modem", | |
| 663: "monastery", | |
| 664: "monitor", | |
| 665: "moped", | |
| 666: "mortar", | |
| 667: "mortarboard", | |
| 668: "mosque", | |
| 669: "mosquito net", | |
| 670: "motor scooter, scooter", | |
| 671: "mountain bike, all-terrain bike, off-roader", | |
| 672: "mountain tent", | |
| 673: "mouse, computer mouse", | |
| 674: "mousetrap", | |
| 675: "moving van", | |
| 676: "muzzle", | |
| 677: "nail", | |
| 678: "neck brace", | |
| 679: "necklace", | |
| 680: "nipple", | |
| 681: "notebook, notebook computer", | |
| 682: "obelisk", | |
| 683: "oboe, hautboy, hautbois", | |
| 684: "ocarina, sweet potato", | |
| 685: "odometer, hodometer, mileometer, milometer", | |
| 686: "oil filter", | |
| 687: "organ, pipe organ", | |
| 688: "oscilloscope, scope, cathode-ray oscilloscope, CRO", | |
| 689: "overskirt", | |
| 690: "oxcart", | |
| 691: "oxygen mask", | |
| 692: "packet", | |
| 693: "paddle, boat paddle", | |
| 694: "paddlewheel, paddle wheel", | |
| 695: "padlock", | |
| 696: "paintbrush", | |
| 697: "pajama, pyjama, pj's, jammies", | |
| 698: "palace", | |
| 699: "panpipe, pandean pipe, syrinx", | |
| 700: "paper towel", | |
| 701: "parachute, chute", | |
| 702: "parallel bars, bars", | |
| 703: "park bench", | |
| 704: "parking meter", | |
| 705: "passenger car, coach, carriage", | |
| 706: "patio, terrace", | |
| 707: "pay-phone, pay-station", | |
| 708: "pedestal, plinth, footstall", | |
| 709: "pencil box, pencil case", | |
| 710: "pencil sharpener", | |
| 711: "perfume, essence", | |
| 712: "Petri dish", | |
| 713: "photocopier", | |
| 714: "pick, plectrum, plectron", | |
| 715: "pickelhaube", | |
| 716: "picket fence, paling", | |
| 717: "pickup, pickup truck", | |
| 718: "pier", | |
| 719: "piggy bank, penny bank", | |
| 720: "pill bottle", | |
| 721: "pillow", | |
| 722: "ping-pong ball", | |
| 723: "pinwheel", | |
| 724: "pirate, pirate ship", | |
| 725: "pitcher, ewer", | |
| 726: "plane, carpenter's plane, woodworking plane", | |
| 727: "planetarium", | |
| 728: "plastic bag", | |
| 729: "plate rack", | |
| 730: "plow, plough", | |
| 731: "plunger, plumber's helper", | |
| 732: "Polaroid camera, Polaroid Land camera", | |
| 733: "pole", | |
| 734: "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", | |
| 735: "poncho", | |
| 736: "pool table, billiard table, snooker table", | |
| 737: "pop bottle, soda bottle", | |
| 738: "pot, flowerpot", | |
| 739: "potter's wheel", | |
| 740: "power drill", | |
| 741: "prayer rug, prayer mat", | |
| 742: "printer", | |
| 743: "prison, prison house", | |
| 744: "projectile, missile", | |
| 745: "projector", | |
| 746: "puck, hockey puck", | |
| 747: "punching bag, punch bag, punching ball, punchball", | |
| 748: "purse", | |
| 749: "quill, quill pen", | |
| 750: "quilt, comforter, comfort, puff", | |
| 751: "racer, race car, racing car", | |
| 752: "racket, racquet", | |
| 753: "radiator", | |
| 754: "radio, wireless", | |
| 755: "radio telescope, radio reflector", | |
| 756: "rain barrel", | |
| 757: "recreational vehicle, RV, R.V.", | |
| 758: "reel", | |
| 759: "reflex camera", | |
| 760: "refrigerator, icebox", | |
| 761: "remote control, remote", | |
| 762: "restaurant, eating house, eating place, eatery", | |
| 763: "revolver, six-gun, six-shooter", | |
| 764: "rifle", | |
| 765: "rocking chair, rocker", | |
| 766: "rotisserie", | |
| 767: "rubber eraser, rubber, pencil eraser", | |
| 768: "rugby ball", | |
| 769: "rule, ruler", | |
| 770: "running shoe", | |
| 771: "safe", | |
| 772: "safety pin", | |
| 773: "saltshaker, salt shaker", | |
| 774: "sandal", | |
| 775: "sarong", | |
| 776: "sax, saxophone", | |
| 777: "scabbard", | |
| 778: "scale, weighing machine", | |
| 779: "school bus", | |
| 780: "schooner", | |
| 781: "scoreboard", | |
| 782: "screen, CRT screen", | |
| 783: "screw", | |
| 784: "screwdriver", | |
| 785: "seat belt, seatbelt", | |
| 786: "sewing machine", | |
| 787: "shield, buckler", | |
| 788: "shoe shop, shoe-shop, shoe store", | |
| 789: "shoji", | |
| 790: "shopping basket", | |
| 791: "shopping cart", | |
| 792: "shovel", | |
| 793: "shower cap", | |
| 794: "shower curtain", | |
| 795: "ski", | |
| 796: "ski mask", | |
| 797: "sleeping bag", | |
| 798: "slide rule, slipstick", | |
| 799: "sliding door", | |
| 800: "slot, one-armed bandit", | |
| 801: "snorkel", | |
| 802: "snowmobile", | |
| 803: "snowplow, snowplough", | |
| 804: "soap dispenser", | |
| 805: "soccer ball", | |
| 806: "sock", | |
| 807: "solar dish, solar collector, solar furnace", | |
| 808: "sombrero", | |
| 809: "soup bowl", | |
| 810: "space bar", | |
| 811: "space heater", | |
| 812: "space shuttle", | |
| 813: "spatula", | |
| 814: "speedboat", | |
| 815: "spider web, spider's web", | |
| 816: "spindle", | |
| 817: "sports car, sport car", | |
| 818: "spotlight, spot", | |
| 819: "stage", | |
| 820: "steam locomotive", | |
| 821: "steel arch bridge", | |
| 822: "steel drum", | |
| 823: "stethoscope", | |
| 824: "stole", | |
| 825: "stone wall", | |
| 826: "stopwatch, stop watch", | |
| 827: "stove", | |
| 828: "strainer", | |
| 829: "streetcar, tram, tramcar, trolley, trolley car", | |
| 830: "stretcher", | |
| 831: "studio couch, day bed", | |
| 832: "stupa, tope", | |
| 833: "submarine, pigboat, sub, U-boat", | |
| 834: "suit, suit of clothes", | |
| 835: "sundial", | |
| 836: "sunglass", | |
| 837: "sunglasses, dark glasses, shades", | |
| 838: "sunscreen, sunblock, sun blocker", | |
| 839: "suspension bridge", | |
| 840: "swab, swob, mop", | |
| 841: "sweatshirt", | |
| 842: "swimming trunks, bathing trunks", | |
| 843: "swing", | |
| 844: "switch, electric switch, electrical switch", | |
| 845: "syringe", | |
| 846: "table lamp", | |
| 847: "tank, army tank, armored combat vehicle, armoured combat vehicle", | |
| 848: "tape player", | |
| 849: "teapot", | |
| 850: "teddy, teddy bear", | |
| 851: "television, television system", | |
| 852: "tennis ball", | |
| 853: "thatch, thatched roof", | |
| 854: "theater curtain, theatre curtain", | |
| 855: "thimble", | |
| 856: "thresher, thrasher, threshing machine", | |
| 857: "throne", | |
| 858: "tile roof", | |
| 859: "toaster", | |
| 860: "tobacco shop, tobacconist shop, tobacconist", | |
| 861: "toilet seat", | |
| 862: "torch", | |
| 863: "totem pole", | |
| 864: "tow truck, tow car, wrecker", | |
| 865: "toyshop", | |
| 866: "tractor", | |
| 867: "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, sem,", | |
| 868: "tray", | |
| 869: "trench coat", | |
| 870: "tricycle, trike, velocipede", | |
| 871: "trimaran", | |
| 872: "tripod", | |
| 873: "triumphal arch", | |
| 874: "trolleybus, trolley coach, trackless trolley", | |
| 875: "trombone", | |
| 876: "tub, vat", | |
| 877: "turnstile", | |
| 878: "typewriter keyboard", | |
| 879: "umbrella", | |
| 880: "unicycle, monocycle", | |
| 881: "upright, upright piano", | |
| 882: "vacuum, vacuum cleaner", | |
| 883: "vase", | |
| 884: "vault", | |
| 885: "velvet", | |
| 886: "vending machine", | |
| 887: "vestment", | |
| 888: "viaduct", | |
| 889: "violin, fiddle", | |
| 890: "volleyball", | |
| 891: "waffle iron", | |
| 892: "wall clock", | |
| 893: "wallet, billfold, notecase, pocketbook", | |
| 894: "wardrobe, closet, press", | |
| 895: "warplane, military plane", | |
| 896: "washbasin, handbasin, washbowl, lavabo, wash-hand basin", | |
| 897: "washer, automatic washer, washing machine", | |
| 898: "water bottle", | |
| 899: "water jug", | |
| 900: "water tower", | |
| 901: "whiskey jug", | |
| 902: "whistle", | |
| 903: "wig", | |
| 904: "window screen", | |
| 905: "window shade", | |
| 906: "Windsor tie", | |
| 907: "wine bottle", | |
| 908: "wing", | |
| 909: "wok", | |
| 910: "wooden spoon", | |
| 911: "wool, woolen, woollen", | |
| 912: "worm fence, snake fence, snake-rail fence, Virginia fence", | |
| 913: "wreck", | |
| 914: "yawl", | |
| 915: "yurt", | |
| 916: "web site, website, internet site, site", | |
| 917: "comic book", | |
| 918: "crossword puzzle, crossword", | |
| 919: "street sign", | |
| 920: "traffic light, traffic signal, stoplight", | |
| 921: "book jacket, dust cover, dust jacket, dust wrapper", | |
| 922: "menu", | |
| 923: "plate", | |
| 924: "guacamole", | |
| 925: "consomme", | |
| 926: "hot pot, hotpot", | |
| 927: "trifle", | |
| 928: "ice cream, icecream", | |
| 929: "ice lolly, lolly, lollipop, popsicle", | |
| 930: "French loaf", | |
| 931: "bagel, beigel", | |
| 932: "pretzel", | |
| 933: "cheeseburger", | |
| 934: "hotdog, hot dog, red hot", | |
| 935: "mashed potato", | |
| 936: "head cabbage", | |
| 937: "broccoli", | |
| 938: "cauliflower", | |
| 939: "zucchini, courgette", | |
| 940: "spaghetti squash", | |
| 941: "acorn squash", | |
| 942: "butternut squash", | |
| 943: "cucumber, cuke", | |
| 944: "artichoke, globe artichoke", | |
| 945: "bell pepper", | |
| 946: "cardoon", | |
| 947: "mushroom", | |
| 948: "Granny Smith", | |
| 949: "strawberry", | |
| 950: "orange", | |
| 951: "lemon", | |
| 952: "fig", | |
| 953: "pineapple, ananas", | |
| 954: "banana", | |
| 955: "jackfruit, jak, jack", | |
| 956: "custard apple", | |
| 957: "pomegranate", | |
| 958: "hay", | |
| 959: "carbonara", | |
| 960: "chocolate sauce, chocolate syrup", | |
| 961: "dough", | |
| 962: "meat loaf, meatloaf", | |
| 963: "pizza, pizza pie", | |
| 964: "potpie", | |
| 965: "burrito", | |
| 966: "red wine", | |
| 967: "espresso", | |
| 968: "cup", | |
| 969: "eggnog", | |
| 970: "alp", | |
| 971: "bubble", | |
| 972: "cliff, drop, drop-off", | |
| 973: "coral reef", | |
| 974: "geyser", | |
| 975: "lakeside, lakeshore", | |
| 976: "promontory, headland, head, foreland", | |
| 977: "sandbar, sand bar", | |
| 978: "seashore, coast, seacoast, sea-coast", | |
| 979: "valley, vale", | |
| 980: "volcano", | |
| 981: "ballplayer, baseball player", | |
| 982: "groom, bridegroom", | |
| 983: "scuba diver", | |
| 984: "rapeseed", | |
| 985: "daisy", | |
| 986: "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripium parviflorum", | |
| 987: "corn", | |
| 988: "acorn", | |
| 989: "hip, rose hip, rosehip", | |
| 990: "buckeye, horse chestnut, conker", | |
| 991: "coral fungus", | |
| 992: "agaric", | |
| 993: "gyromitra", | |
| 994: "stinkhorn, carrion fungus", | |
| 995: "earthstar", | |
| 996: "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", | |
| 997: "bolete", | |
| 998: "ear, spike, capitulum", | |
| 999: "toilet tissue, toilet paper, bathroom tissue", | |
| } | |
| path_ffhq = hf_hub_download(repo_id="brownvc/BaselineGAN-FFHQ-256x256", filename="network-snapshot-final.pkl", local_dir="ffhq") | |
| path_imagenet = hf_hub_download(repo_id="brownvc/BaselineGAN-ImgNet-64x64-v0", filename="network-snapshot-final.pkl", local_dir="imagenet") | |
| # Configuration | |
| networks = { | |
| "FFHQ (Faces) 256px": { | |
| "path": path_ffhq, | |
| "G": None, | |
| "conditional": False | |
| }, | |
| "ImageNet 64px": { | |
| "path": path_imagenet, | |
| "G": None, | |
| "conditional": True | |
| } | |
| } | |
| device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') | |
| # Preload all networks | |
| for network_name, network_info in networks.items(): | |
| print(f'Loading network {network_name} from "{network_info["path"]}"...') | |
| with dnnlib.util.open_url(network_info["path"]) as f: | |
| network_info["G"] = legacy.load_network_pkl(f)['G_ema'].to(device) | |
| def generate_random_images(network_choice, class_label=None, num_images=2): | |
| # Get the selected generator | |
| G = networks[network_choice]["G"] | |
| # Generate random seeds | |
| seeds = np.random.randint(0, 100000, num_images) | |
| # Setup labels | |
| if networks[network_choice]["conditional"] and class_label is not None: | |
| # Extract class index from the selection string | |
| class_idx = int(class_label.split(':')[0]) | |
| label = torch.zeros([1, G.c_dim], device=device) | |
| label[:, class_idx] = 1 | |
| else: | |
| label = torch.zeros([1, G.c_dim], device=device) | |
| # Generate and save images | |
| output_images = [] | |
| for seed_idx, seed in enumerate(seeds): | |
| print(f'Generating image for seed {seed} ({seed_idx+1}/{num_images}) ...') | |
| z = torch.from_numpy(np.random.RandomState(seed).randn(1, G.z_dim)).to(device) | |
| img = G(z, label) | |
| img = (img.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8) | |
| pil_img = PIL.Image.fromarray(img[0].cpu().numpy(), 'RGB') | |
| output_images.append(pil_img) | |
| return output_images | |
| # Format ImageNet classes for dropdown | |
| imagenet_choices = [f"{idx}: {name}" for idx, name in imagenet_classes.items()] | |
| css = ''' | |
| .gradio-container{max-width: 640px !important} | |
| ''' | |
| # Create Gradio interface | |
| with gr.Blocks(css=css) as demo: | |
| with gr.Column(): | |
| gr.Markdown("# GANs are so back!? R3GAN Demo") | |
| gr.Markdown("Demo for the stable, easy to train and modern R3GAN") | |
| gr.Markdown("[[Paper](https://huggingface.co/papers/2501.05441)] [[Models](https://huggingface.co/collections/brownvc/r3gan-6780a350063dd44ffb1fe08a)] [[Code](https://github.com/brownvc/R3GAN/)]") | |
| total_images = gr.State(2) | |
| # Add radio buttons for network selection | |
| network_choice = gr.Radio( | |
| choices=list(networks.keys()), | |
| value=list(networks.keys())[0], | |
| label="Choose Network" | |
| ) | |
| # Add conditional class selector for ImageNet | |
| with gr.Column(visible=False) as class_selector: | |
| class_label = gr.Dropdown( | |
| choices=imagenet_choices, | |
| label="ImageNet Class", | |
| value=imagenet_choices[0], | |
| filterable=True | |
| ) | |
| generate_btn = gr.Button("Generate Images") | |
| # Create a gallery to display images | |
| gallery = gr.Gallery( | |
| label="Generated Images", | |
| show_label=True, | |
| elem_id="gallery", | |
| columns=2, | |
| rows=1, | |
| height="auto" | |
| ) | |
| with gr.Accordion("How does it work?", open=False): | |
| gr.Markdown('''# The GAN is dead; long live the GAN! A Modern GAN Baseline | |
|  | |
| Abstract: There is a widely-spread claim that GANs are difficult to train, and GAN architectures in the literature are littered with empirical tricks. We provide evidence against this claim and build a modern GAN baseline in a more principled manner. First, we derive a well-behaved regularized relativistic GAN loss that addresses issues of mode dropping and non-convergence that were previously tackled via a bag of ad-hoc tricks. We analyze our loss mathematically and prove that it admits local convergence guarantees, unlike most existing relativistic losses. Second, our new loss allows us to discard all ad-hoc tricks and replace outdated backbones used in common GANs with modern architectures. Using StyleGAN2 as an example, we present a roadmap of simplification and modernization that results in a new minimalist baseline -- R3GAN. Despite being simple, our approach surpasses StyleGAN2 on FFHQ, ImageNet, CIFAR, and Stacked MNIST datasets, and compares favorably against state-of-the-art GANs and diffusion models. | |
| [Read the paper](https://huggingface.co/papers/2501.05441)''') | |
| # Show/hide class selector based on network choice | |
| def update_class_selector(choice): | |
| if(choice == "ImageNet 64px"): | |
| return gr.update(visible=True), gr.update(columns=5, rows=1), 5 | |
| else: | |
| return gr.update(visible=False), gr.update(columns=2, rows=1), 2 | |
| network_choice.change( | |
| fn=update_class_selector, | |
| inputs=[network_choice], | |
| outputs=[class_selector, gallery, total_images] | |
| ) | |
| # Connect the button to the generation function | |
| generate_btn.click( | |
| fn=generate_random_images, | |
| inputs=[network_choice, class_label, total_images], | |
| outputs=gallery | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(share=True) |