

from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_librosa_available,
    is_note_seq_available,
    is_onnx_available,
    is_torch_available,
    is_transformers_available,
)


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_pt_objects import *  # noqa F403
else:
      from .consistency_models import ConsistencyModelPipeline
      from .dance_diffusion import DanceDiffusionPipeline
      from .ddim import DDIMPipeline
      from .ddpm import DDPMPipeline
      from .dit import DiTPipeline
      from .latent_diffusion import LDMSuperResolutionPipeline
      from .latent_diffusion_uncond import LDMPipeline
      from .pipeline_utils import AudioPipelineOutput, DiffusionPipeline, ImagePipelineOutput
      from .pndm import PNDMPipeline
      from .repaint import RePaintPipeline
      from .score_sde_ve import ScoreSdeVePipeline
      from .stochastic_karras_ve import KarrasVePipeline

try:
      if not (is_torch_available() and is_librosa_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_torch_and_librosa_objects import *  # noqa F403
else:
      from .audio_diffusion import AudioDiffusionPipeline, Mel

try:
      if not (is_torch_available() and is_transformers_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
      from .alt_diffusion import AltDiffusionImgaImgPipeline, AltDiffusionPipeline
      from .audioldm import AudioLDMPipeline
      from .controlnet import (
          StableDiffusionControlNetImgaImgPipeline,
          StableDiffusionControlNetInpaintPipeline,
          StableDiffusionControlNetPipeline,
      )
      from .deepfloyd_if import (
          IFImgaImgPipeline,
          IFImgaImgSuperResolutionPipeline,
          IFInpaintingPipeline,
          IFInpaintingSuperResolutionPipeline,
          IFPipeline,
          IFSuperResolutionPipeline,
      )
      from .kandinsky import (
          KandinskyImgaImgPipeline,
          KandinskyInpaintPipeline,
          KandinskyPipeline,
          KandinskyPriorPipeline,
      )
      from .kandinskya_a import (
          KandinskyVaaControlnetImgaImgPipeline,
          KandinskyVaaControlnetPipeline,
          KandinskyVaaImgaImgPipeline,
          KandinskyVaaInpaintPipeline,
          KandinskyVaaPipeline,
          KandinskyVaaPriorEmbaEmbPipeline,
          KandinskyVaaPriorPipeline,
      )
      from .latent_diffusion import LDMTextToImagePipeline
      from .paint_by_example import PaintByExamplePipeline
      from .semantic_stable_diffusion import SemanticStableDiffusionPipeline
      from .shap_e import ShapEImgaImgPipeline, ShapEPipeline
      from .stable_diffusion import (
          CycleDiffusionPipeline,
          StableDiffusionAttendAndExcitePipeline,
          StableDiffusionDepthaImgPipeline,
          StableDiffusionDiffEditPipeline,
          StableDiffusionImageVariationPipeline,
          StableDiffusionImgaImgPipeline,
          StableDiffusionInpaintPipeline,
          StableDiffusionInpaintPipelineLegacy,
          StableDiffusionInstructPixaPixPipeline,
          StableDiffusionLatentUpscalePipeline,
          StableDiffusionLDMaDPipeline,
          StableDiffusionModelEditingPipeline,
          StableDiffusionPanoramaPipeline,
          StableDiffusionParadigmsPipeline,
          StableDiffusionPipeline,
          StableDiffusionPixaPixZeroPipeline,
          StableDiffusionSAGPipeline,
          StableDiffusionUpscalePipeline,
          StableUnCLIPImgaImgPipeline,
          StableUnCLIPPipeline,
      )
      from .stable_diffusion_safe import StableDiffusionPipelineSafe
      from .text_to_video_synthesis import TextToVideoSDPipeline, TextToVideoZeroPipeline, 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


try:
      if not (is_torch_available() and is_transformers_available() and is_invisible_watermark_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_torch_and_transformers_and_invisible_watermark_objects import *  # noqa F403
else:
      from .stable_diffusion_xl import StableDiffusionXLImgaImgPipeline, StableDiffusionXLPipeline

try:
      if not is_onnx_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_onnx_objects import *  # noqa F403
else:
      from .onnx_utils import OnnxRuntimeModel

try:
      if not (is_torch_available() and is_transformers_available() and is_onnx_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_torch_and_transformers_and_onnx_objects import *  # noqa F403
else:
      from .stable_diffusion import (
          OnnxStableDiffusionImgaImgPipeline,
          OnnxStableDiffusionInpaintPipeline,
          OnnxStableDiffusionInpaintPipelineLegacy,
          OnnxStableDiffusionPipeline,
          OnnxStableDiffusionUpscalePipeline,
          StableDiffusionOnnxPipeline,
      )

try:
      if not (is_torch_available() and is_transformers_available() and is_k_diffusion_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
else:
      from .stable_diffusion import StableDiffusionKDiffusionPipeline

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_flax_objects import *  # noqa F403
else:
      from .pipeline_flax_utils import FlaxDiffusionPipeline


try:
      if not (is_flax_available() and is_transformers_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ..utils.dummy_flax_and_transformers_objects import *  # noqa F403
else:
      from .controlnet import FlaxStableDiffusionControlNetPipeline
      from .stable_diffusion import (
          FlaxStableDiffusionImgaImgPipeline,
          FlaxStableDiffusionInpaintPipeline,
          FlaxStableDiffusionPipeline,
      )
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










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


A_		:  Any										=  {
    '''configuration_align''': [
        '''ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AlignConfig''',
        '''AlignTextConfig''',
        '''AlignVisionConfig''',
    ],
    '''processing_align''': ['''AlignProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A_		:  Optional[int]										=  [
         '''ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''AlignModel''',
         '''AlignPreTrainedModel''',
         '''AlignTextModel''',
         '''AlignVisionModel''',
     ]

if TYPE_CHECKING:
     from .configuration_align import (
         ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
         AlignConfig,
         AlignTextConfig,
         AlignVisionConfig,
     )
     from .processing_align import AlignProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_align import (
              ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
              AlignModel,
              AlignPreTrainedModel,
              AlignTextModel,
              AlignVisionModel,
          )

else:
     import sys

     A_		:  int										=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

