declare-lab/tango2

1# This file is autogenerated by the command `make fix-copies`, do not edit.2from ..utils import DummyObject, requires_backends3 4 5class TextualInversionLoaderMixin(metaclass=DummyObject):6    _backends = ["torch", "transformers"]7 8    def __init__(self, *args, **kwargs):9        requires_backends(self, ["torch", "transformers"])10 11    @classmethod12    def from_config(cls, *args, **kwargs):13        requires_backends(cls, ["torch", "transformers"])14 15    @classmethod16    def from_pretrained(cls, *args, **kwargs):17        requires_backends(cls, ["torch", "transformers"])18 19 20class AltDiffusionImg2ImgPipeline(metaclass=DummyObject):21    _backends = ["torch", "transformers"]22 23    def __init__(self, *args, **kwargs):24        requires_backends(self, ["torch", "transformers"])25 26    @classmethod27    def from_config(cls, *args, **kwargs):28        requires_backends(cls, ["torch", "transformers"])29 30    @classmethod31    def from_pretrained(cls, *args, **kwargs):32        requires_backends(cls, ["torch", "transformers"])33 34 35class AltDiffusionPipeline(metaclass=DummyObject):36    _backends = ["torch", "transformers"]37 38    def __init__(self, *args, **kwargs):39        requires_backends(self, ["torch", "transformers"])40 41    @classmethod42    def from_config(cls, *args, **kwargs):43        requires_backends(cls, ["torch", "transformers"])44 45    @classmethod46    def from_pretrained(cls, *args, **kwargs):47        requires_backends(cls, ["torch", "transformers"])48 49 50class AudioLDMPipeline(metaclass=DummyObject):51    _backends = ["torch", "transformers"]52 53    def __init__(self, *args, **kwargs):54        requires_backends(self, ["torch", "transformers"])55 56    @classmethod57    def from_config(cls, *args, **kwargs):58        requires_backends(cls, ["torch", "transformers"])59 60    @classmethod61    def from_pretrained(cls, *args, **kwargs):62        requires_backends(cls, ["torch", "transformers"])63 64 65class CycleDiffusionPipeline(metaclass=DummyObject):66    _backends = ["torch", "transformers"]67 68    def __init__(self, *args, **kwargs):69        requires_backends(self, ["torch", "transformers"])70 71    @classmethod72    def from_config(cls, *args, **kwargs):73        requires_backends(cls, ["torch", "transformers"])74 75    @classmethod76    def from_pretrained(cls, *args, **kwargs):77        requires_backends(cls, ["torch", "transformers"])78 79 80class LDMTextToImagePipeline(metaclass=DummyObject):81    _backends = ["torch", "transformers"]82 83    def __init__(self, *args, **kwargs):84        requires_backends(self, ["torch", "transformers"])85 86    @classmethod87    def from_config(cls, *args, **kwargs):88        requires_backends(cls, ["torch", "transformers"])89 90    @classmethod91    def from_pretrained(cls, *args, **kwargs):92        requires_backends(cls, ["torch", "transformers"])93 94 95class PaintByExamplePipeline(metaclass=DummyObject):96    _backends = ["torch", "transformers"]97 98    def __init__(self, *args, **kwargs):99        requires_backends(self, ["torch", "transformers"])100 101    @classmethod102    def from_config(cls, *args, **kwargs):103        requires_backends(cls, ["torch", "transformers"])104 105    @classmethod106    def from_pretrained(cls, *args, **kwargs):107        requires_backends(cls, ["torch", "transformers"])108 109 110class SemanticStableDiffusionPipeline(metaclass=DummyObject):111    _backends = ["torch", "transformers"]112 113    def __init__(self, *args, **kwargs):114        requires_backends(self, ["torch", "transformers"])115 116    @classmethod117    def from_config(cls, *args, **kwargs):118        requires_backends(cls, ["torch", "transformers"])119 120    @classmethod121    def from_pretrained(cls, *args, **kwargs):122        requires_backends(cls, ["torch", "transformers"])123 124 125class StableDiffusionAttendAndExcitePipeline(metaclass=DummyObject):126    _backends = ["torch", "transformers"]127 128    def __init__(self, *args, **kwargs):129        requires_backends(self, ["torch", "transformers"])130 131    @classmethod132    def from_config(cls, *args, **kwargs):133        requires_backends(cls, ["torch", "transformers"])134 135    @classmethod136    def from_pretrained(cls, *args, **kwargs):137        requires_backends(cls, ["torch", "transformers"])138 139 140class StableDiffusionControlNetPipeline(metaclass=DummyObject):141    _backends = ["torch", "transformers"]142 143    def __init__(self, *args, **kwargs):144        requires_backends(self, ["torch", "transformers"])145 146    @classmethod147    def from_config(cls, *args, **kwargs):148        requires_backends(cls, ["torch", "transformers"])149 150    @classmethod151    def from_pretrained(cls, *args, **kwargs):152        requires_backends(cls, ["torch", "transformers"])153 154 155class StableDiffusionDepth2ImgPipeline(metaclass=DummyObject):156    _backends = ["torch", "transformers"]157 158    def __init__(self, *args, **kwargs):159        requires_backends(self, ["torch", "transformers"])160 161    @classmethod162    def from_config(cls, *args, **kwargs):163        requires_backends(cls, ["torch", "transformers"])164 165    @classmethod166    def from_pretrained(cls, *args, **kwargs):167        requires_backends(cls, ["torch", "transformers"])168 169 170class StableDiffusionImageVariationPipeline(metaclass=DummyObject):171    _backends = ["torch", "transformers"]172 173    def __init__(self, *args, **kwargs):174        requires_backends(self, ["torch", "transformers"])175 176    @classmethod177    def from_config(cls, *args, **kwargs):178        requires_backends(cls, ["torch", "transformers"])179 180    @classmethod181    def from_pretrained(cls, *args, **kwargs):182        requires_backends(cls, ["torch", "transformers"])183 184 185class StableDiffusionImg2ImgPipeline(metaclass=DummyObject):186    _backends = ["torch", "transformers"]187 188    def __init__(self, *args, **kwargs):189        requires_backends(self, ["torch", "transformers"])190 191    @classmethod192    def from_config(cls, *args, **kwargs):193        requires_backends(cls, ["torch", "transformers"])194 195    @classmethod196    def from_pretrained(cls, *args, **kwargs):197        requires_backends(cls, ["torch", "transformers"])198 199 200class StableDiffusionInpaintPipeline(metaclass=DummyObject):201    _backends = ["torch", "transformers"]202 203    def __init__(self, *args, **kwargs):204        requires_backends(self, ["torch", "transformers"])205 206    @classmethod207    def from_config(cls, *args, **kwargs):208        requires_backends(cls, ["torch", "transformers"])209 210    @classmethod211    def from_pretrained(cls, *args, **kwargs):212        requires_backends(cls, ["torch", "transformers"])213 214 215class StableDiffusionInpaintPipelineLegacy(metaclass=DummyObject):216    _backends = ["torch", "transformers"]217 218    def __init__(self, *args, **kwargs):219        requires_backends(self, ["torch", "transformers"])220 221    @classmethod222    def from_config(cls, *args, **kwargs):223        requires_backends(cls, ["torch", "transformers"])224 225    @classmethod226    def from_pretrained(cls, *args, **kwargs):227        requires_backends(cls, ["torch", "transformers"])228 229 230class StableDiffusionInstructPix2PixPipeline(metaclass=DummyObject):231    _backends = ["torch", "transformers"]232 233    def __init__(self, *args, **kwargs):234        requires_backends(self, ["torch", "transformers"])235 236    @classmethod237    def from_config(cls, *args, **kwargs):238        requires_backends(cls, ["torch", "transformers"])239 240    @classmethod241    def from_pretrained(cls, *args, **kwargs):242        requires_backends(cls, ["torch", "transformers"])243 244 245class StableDiffusionLatentUpscalePipeline(metaclass=DummyObject):246    _backends = ["torch", "transformers"]247 248    def __init__(self, *args, **kwargs):249        requires_backends(self, ["torch", "transformers"])250 251    @classmethod252    def from_config(cls, *args, **kwargs):253        requires_backends(cls, ["torch", "transformers"])254 255    @classmethod256    def from_pretrained(cls, *args, **kwargs):257        requires_backends(cls, ["torch", "transformers"])258 259 260class StableDiffusionModelEditingPipeline(metaclass=DummyObject):261    _backends = ["torch", "transformers"]262 263    def __init__(self, *args, **kwargs):264        requires_backends(self, ["torch", "transformers"])265 266    @classmethod267    def from_config(cls, *args, **kwargs):268        requires_backends(cls, ["torch", "transformers"])269 270    @classmethod271    def from_pretrained(cls, *args, **kwargs):272        requires_backends(cls, ["torch", "transformers"])273 274 275class StableDiffusionPanoramaPipeline(metaclass=DummyObject):276    _backends = ["torch", "transformers"]277 278    def __init__(self, *args, **kwargs):279        requires_backends(self, ["torch", "transformers"])280 281    @classmethod282    def from_config(cls, *args, **kwargs):283        requires_backends(cls, ["torch", "transformers"])284 285    @classmethod286    def from_pretrained(cls, *args, **kwargs):287        requires_backends(cls, ["torch", "transformers"])288 289 290class StableDiffusionPipeline(metaclass=DummyObject):291    _backends = ["torch", "transformers"]292 293    def __init__(self, *args, **kwargs):294        requires_backends(self, ["torch", "transformers"])295 296    @classmethod297    def from_config(cls, *args, **kwargs):298        requires_backends(cls, ["torch", "transformers"])299 300    @classmethod301    def from_pretrained(cls, *args, **kwargs):302        requires_backends(cls, ["torch", "transformers"])303 304 305class StableDiffusionPipelineSafe(metaclass=DummyObject):306    _backends = ["torch", "transformers"]307 308    def __init__(self, *args, **kwargs):309        requires_backends(self, ["torch", "transformers"])310 311    @classmethod312    def from_config(cls, *args, **kwargs):313        requires_backends(cls, ["torch", "transformers"])314 315    @classmethod316    def from_pretrained(cls, *args, **kwargs):317        requires_backends(cls, ["torch", "transformers"])318 319 320class StableDiffusionPix2PixZeroPipeline(metaclass=DummyObject):321    _backends = ["torch", "transformers"]322 323    def __init__(self, *args, **kwargs):324        requires_backends(self, ["torch", "transformers"])325 326    @classmethod327    def from_config(cls, *args, **kwargs):328        requires_backends(cls, ["torch", "transformers"])329 330    @classmethod331    def from_pretrained(cls, *args, **kwargs):332        requires_backends(cls, ["torch", "transformers"])333 334 335class StableDiffusionSAGPipeline(metaclass=DummyObject):336    _backends = ["torch", "transformers"]337 338    def __init__(self, *args, **kwargs):339        requires_backends(self, ["torch", "transformers"])340 341    @classmethod342    def from_config(cls, *args, **kwargs):343        requires_backends(cls, ["torch", "transformers"])344 345    @classmethod346    def from_pretrained(cls, *args, **kwargs):347        requires_backends(cls, ["torch", "transformers"])348 349 350class StableDiffusionUpscalePipeline(metaclass=DummyObject):351    _backends = ["torch", "transformers"]352 353    def __init__(self, *args, **kwargs):354        requires_backends(self, ["torch", "transformers"])355 356    @classmethod357    def from_config(cls, *args, **kwargs):358        requires_backends(cls, ["torch", "transformers"])359 360    @classmethod361    def from_pretrained(cls, *args, **kwargs):362        requires_backends(cls, ["torch", "transformers"])363 364 365class StableUnCLIPImg2ImgPipeline(metaclass=DummyObject):366    _backends = ["torch", "transformers"]367 368    def __init__(self, *args, **kwargs):369        requires_backends(self, ["torch", "transformers"])370 371    @classmethod372    def from_config(cls, *args, **kwargs):373        requires_backends(cls, ["torch", "transformers"])374 375    @classmethod376    def from_pretrained(cls, *args, **kwargs):377        requires_backends(cls, ["torch", "transformers"])378 379 380class StableUnCLIPPipeline(metaclass=DummyObject):381    _backends = ["torch", "transformers"]382 383    def __init__(self, *args, **kwargs):384        requires_backends(self, ["torch", "transformers"])385 386    @classmethod387    def from_config(cls, *args, **kwargs):388        requires_backends(cls, ["torch", "transformers"])389 390    @classmethod391    def from_pretrained(cls, *args, **kwargs):392        requires_backends(cls, ["torch", "transformers"])393 394 395class TextToVideoSDPipeline(metaclass=DummyObject):396    _backends = ["torch", "transformers"]397 398    def __init__(self, *args, **kwargs):399        requires_backends(self, ["torch", "transformers"])400 401    @classmethod402    def from_config(cls, *args, **kwargs):403        requires_backends(cls, ["torch", "transformers"])404 405    @classmethod406    def from_pretrained(cls, *args, **kwargs):407        requires_backends(cls, ["torch", "transformers"])408 409 410class UnCLIPImageVariationPipeline(metaclass=DummyObject):411    _backends = ["torch", "transformers"]412 413    def __init__(self, *args, **kwargs):414        requires_backends(self, ["torch", "transformers"])415 416    @classmethod417    def from_config(cls, *args, **kwargs):418        requires_backends(cls, ["torch", "transformers"])419 420    @classmethod421    def from_pretrained(cls, *args, **kwargs):422        requires_backends(cls, ["torch", "transformers"])423 424 425class UnCLIPPipeline(metaclass=DummyObject):426    _backends = ["torch", "transformers"]427 428    def __init__(self, *args, **kwargs):429        requires_backends(self, ["torch", "transformers"])430 431    @classmethod432    def from_config(cls, *args, **kwargs):433        requires_backends(cls, ["torch", "transformers"])434 435    @classmethod436    def from_pretrained(cls, *args, **kwargs):437        requires_backends(cls, ["torch", "transformers"])438 439 440class VersatileDiffusionDualGuidedPipeline(metaclass=DummyObject):441    _backends = ["torch", "transformers"]442 443    def __init__(self, *args, **kwargs):444        requires_backends(self, ["torch", "transformers"])445 446    @classmethod447    def from_config(cls, *args, **kwargs):448        requires_backends(cls, ["torch", "transformers"])449 450    @classmethod451    def from_pretrained(cls, *args, **kwargs):452        requires_backends(cls, ["torch", "transformers"])453 454 455class VersatileDiffusionImageVariationPipeline(metaclass=DummyObject):456    _backends = ["torch", "transformers"]457 458    def __init__(self, *args, **kwargs):459        requires_backends(self, ["torch", "transformers"])460 461    @classmethod462    def from_config(cls, *args, **kwargs):463        requires_backends(cls, ["torch", "transformers"])464 465    @classmethod466    def from_pretrained(cls, *args, **kwargs):467        requires_backends(cls, ["torch", "transformers"])468 469 470class VersatileDiffusionPipeline(metaclass=DummyObject):471    _backends = ["torch", "transformers"]472 473    def __init__(self, *args, **kwargs):474        requires_backends(self, ["torch", "transformers"])475 476    @classmethod477    def from_config(cls, *args, **kwargs):478        requires_backends(cls, ["torch", "transformers"])479 480    @classmethod481    def from_pretrained(cls, *args, **kwargs):482        requires_backends(cls, ["torch", "transformers"])483 484 485class VersatileDiffusionTextToImagePipeline(metaclass=DummyObject):486    _backends = ["torch", "transformers"]487 488    def __init__(self, *args, **kwargs):489        requires_backends(self, ["torch", "transformers"])490 491    @classmethod492    def from_config(cls, *args, **kwargs):493        requires_backends(cls, ["torch", "transformers"])494 495    @classmethod496    def from_pretrained(cls, *args, **kwargs):497        requires_backends(cls, ["torch", "transformers"])498 499 500class VQDiffusionPipeline(metaclass=DummyObject):501    _backends = ["torch", "transformers"]502 503    def __init__(self, *args, **kwargs):504        requires_backends(self, ["torch", "transformers"])505 506    @classmethod507    def from_config(cls, *args, **kwargs):508        requires_backends(cls, ["torch", "transformers"])509 510    @classmethod511    def from_pretrained(cls, *args, **kwargs):512        requires_backends(cls, ["torch", "transformers"])513