from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_librosa_available, is_note_seq_available, is_torch_available, is_transformers_available, ) _dummy_objects = {} _import_structure = {} try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_pt_objects _dummy_objects.update(get_objects_from_module(dummy_pt_objects)) else: _import_structure["dance_diffusion"] = ["DanceDiffusionPipeline"] _import_structure["latent_diffusion_uncond"] = ["LDMPipeline"] _import_structure["pndm"] = ["PNDMPipeline"] _import_structure["repaint"] = ["RePaintPipeline"] _import_structure["score_sde_ve"] = ["ScoreSdeVePipeline"] _import_structure["stochastic_karras_ve"] = ["KarrasVePipeline"] try: if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_torch_and_transformers_objects _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects)) else: _import_structure["alt_diffusion"] = [ "AltDiffusionImg2ImgPipeline", "AltDiffusionPipeline", "AltDiffusionPipelineOutput", ] _import_structure["versatile_diffusion"] = [ "VersatileDiffusionDualGuidedPipeline", "VersatileDiffusionImageVariationPipeline", "VersatileDiffusionPipeline", "VersatileDiffusionTextToImagePipeline", ] _import_structure["vq_diffusion"] = ["VQDiffusionPipeline"] _import_structure["amused"] = ["AmusedImg2ImgPipeline", "AmusedInpaintPipeline", "AmusedPipeline"] _import_structure["audioldm"] = ["AudioLDMPipeline"] _import_structure["blip_diffusion"] = ["BlipDiffusionPipeline"] _import_structure["controlnet_xs"] = [ "StableDiffusionControlNetXSPipeline", "StableDiffusionXLControlNetXSPipeline", ] _import_structure["i2vgen_xl"] = ["I2VGenXLPipeline"] _import_structure["musicldm"] = ["MusicLDMPipeline"] _import_structure["paint_by_example"] = ["PaintByExamplePipeline"] _import_structure["pia"] = ["PIAPipeline"] _import_structure["semantic_stable_diffusion"] = ["SemanticStableDiffusionPipeline"] _import_structure["stable_diffusion_attend_and_excite"] = ["StableDiffusionAttendAndExcitePipeline"] _import_structure["stable_diffusion_diffedit"] = ["StableDiffusionDiffEditPipeline"] _import_structure["stable_diffusion_gligen"] = [ "StableDiffusionGLIGENPipeline", "StableDiffusionGLIGENTextImagePipeline", ] _import_structure["stable_diffusion_ldm3d"] = ["StableDiffusionLDM3DPipeline"] _import_structure["stable_diffusion_panorama"] = ["StableDiffusionPanoramaPipeline"] _import_structure["stable_diffusion_safe"] = ["StableDiffusionPipelineSafe"] _import_structure["stable_diffusion_sag"] = ["StableDiffusionSAGPipeline"] _import_structure["stable_diffusion_variants"] = [ "CycleDiffusionPipeline", "StableDiffusionInpaintPipelineLegacy", "StableDiffusionPix2PixZeroPipeline", "StableDiffusionParadigmsPipeline", "StableDiffusionModelEditingPipeline", ] _import_structure["text_to_video_synthesis"] = [ "TextToVideoSDPipeline", "TextToVideoZeroPipeline", "TextToVideoZeroSDXLPipeline", "VideoToVideoSDPipeline", ] _import_structure["unclip"] = ["UnCLIPImageVariationPipeline", "UnCLIPPipeline"] _import_structure["unidiffuser"] = [ "ImageTextPipelineOutput", "UniDiffuserModel", "UniDiffuserPipeline", "UniDiffuserTextDecoder", ] _import_structure["wuerstchen"] = [ "WuerstchenCombinedPipeline", "WuerstchenDecoderPipeline", "WuerstchenPriorPipeline", ] try: if not (is_torch_available() and is_librosa_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_torch_and_librosa_objects # noqa F403 _dummy_objects.update(get_objects_from_module(dummy_torch_and_librosa_objects)) else: _import_structure["audio_diffusion"] = ["AudioDiffusionPipeline", "Mel"] try: if not (is_transformers_available() and is_torch_available() and is_note_seq_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_transformers_and_torch_and_note_seq_objects # noqa F403 _dummy_objects.update(get_objects_from_module(dummy_transformers_and_torch_and_note_seq_objects)) else: _import_structure["spectrogram_diffusion"] = ["MidiProcessor", "SpectrogramDiffusionPipeline"] if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_pt_objects import * else: from .dance_diffusion import DanceDiffusionPipeline from .latent_diffusion_uncond import LDMPipeline from .pndm import PNDMPipeline from .repaint import RePaintPipeline from .score_sde_ve import ScoreSdeVePipeline from .stochastic_karras_ve import KarrasVePipeline try: if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import * else: from .alt_diffusion import AltDiffusionImg2ImgPipeline, AltDiffusionPipeline, AltDiffusionPipelineOutput from .amused import AmusedImg2ImgPipeline, AmusedInpaintPipeline, AmusedPipeline from .audio_diffusion import AudioDiffusionPipeline, Mel from .audioldm import AudioLDMPipeline from .blip_diffusion import BlipDiffusionPipeline from .controlnet_xs import StableDiffusionControlNetXSPipeline, StableDiffusionXLControlNetXSPipeline from .i2vgen_xl import I2VGenXLPipeline from .musicldm import MusicLDMPipeline from .paint_by_example import PaintByExamplePipeline from .pia import PIAPipeline from .semantic_stable_diffusion import SemanticStableDiffusionPipeline from .spectrogram_diffusion import SpectrogramDiffusionPipeline from .stable_diffusion_attend_and_excite import StableDiffusionAttendAndExcitePipeline from .stable_diffusion_diffedit import StableDiffusionDiffEditPipeline from .stable_diffusion_gligen import StableDiffusionGLIGENPipeline, StableDiffusionGLIGENTextImagePipeline from .stable_diffusion_ldm3d import StableDiffusionLDM3DPipeline from .stable_diffusion_panorama import StableDiffusionPanoramaPipeline from .stable_diffusion_safe import StableDiffusionPipelineSafe from .stable_diffusion_sag import StableDiffusionSAGPipeline from .stable_diffusion_variants import ( CycleDiffusionPipeline, StableDiffusionInpaintPipelineLegacy, StableDiffusionModelEditingPipeline, StableDiffusionParadigmsPipeline, StableDiffusionPix2PixZeroPipeline, ) from .stochastic_karras_ve import KarrasVePipeline from .text_to_video_synthesis import ( TextToVideoSDPipeline, TextToVideoZeroPipeline, TextToVideoZeroSDXLPipeline, VideoToVideoSDPipeline, ) from .unclip import UnCLIPImageVariationPipeline, UnCLIPPipeline from .unidiffuser import ImageTextPipelineOutput, UniDiffuserModel, UniDiffuserPipeline, UniDiffuserTextDecoder from .versatile_diffusion import ( VersatileDiffusionDualGuidedPipeline, VersatileDiffusionImageVariationPipeline, VersatileDiffusionPipeline, VersatileDiffusionTextToImagePipeline, ) from .vq_diffusion import VQDiffusionPipeline from .wuerstchen import WuerstchenCombinedPipeline, WuerstchenDecoderPipeline, WuerstchenPriorPipeline try: if not (is_torch_available() and is_librosa_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_librosa_objects import * else: from .audio_diffusion import AudioDiffusionPipeline, Mel try: if not (is_transformers_available() and is_torch_available() and is_note_seq_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_transformers_and_torch_and_note_seq_objects import * # noqa F403 else: from .spectrogram_diffusion import ( MidiProcessor, SpectrogramDiffusionPipeline, ) else: import sys sys.modules[__name__] = _LazyModule( __name__, globals()["__file__"], _import_structure, module_spec=__spec__, ) for name, value in _dummy_objects.items(): setattr(sys.modules[__name__], name, value)