__init__.py

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


# These modules contain pipelines from multiple libraries/frameworks
_import_structure = {"stable_diffusion": [], "latent_diffusion": [], "controlnet": []}
_dummy_objects = {}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_pt_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_pt_objects))

else:
    _import_structure["auto_pipeline"] = [
        "AutoPipelineForImage2Image",
        "AutoPipelineForInpainting",
        "AutoPipelineForText2Image",
    ]
    _import_structure["consistency_models"] = ["ConsistencyModelPipeline"]
    _import_structure["dance_diffusion"] = ["DanceDiffusionPipeline"]
    _import_structure["ddim"] = ["DDIMPipeline"]
    _import_structure["ddpm"] = ["DDPMPipeline"]
    _import_structure["dit"] = ["DiTPipeline"]
    _import_structure["latent_diffusion"].extend(["LDMSuperResolutionPipeline"])
    _import_structure["latent_diffusion_uncond"] = ["LDMPipeline"]
    _import_structure["pipeline_utils"] = ["AudioPipelineOutput", "DiffusionPipeline", "ImagePipelineOutput"]
    _import_structure["pndm"] = ["PNDMPipeline"]
    _import_structure["repaint"] = ["RePaintPipeline"]
    _import_structure["score_sde_ve"] = ["ScoreSdeVePipeline"]
    _import_structure["stochastic_karras_ve"] = ["KarrasVePipeline"]

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_torch_available() and is_transformers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_torch_and_transformers_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))

else:
    _import_structure["alt_diffusion"] = ["AltDiffusionImg2ImgPipeline", "AltDiffusionPipeline"]
    _import_structure["audioldm"] = ["AudioLDMPipeline"]
    _import_structure["audioldm2"] = ["AudioLDM2Pipeline", "AudioLDM2ProjectionModel", "AudioLDM2UNet2DConditionModel"]
    _import_structure["controlnet"].extend(
        [
            "StableDiffusionControlNetImg2ImgPipeline",
            "StableDiffusionControlNetInpaintPipeline",
            "StableDiffusionControlNetPipeline",
            "StableDiffusionXLControlNetImg2ImgPipeline",
            "StableDiffusionXLControlNetInpaintPipeline",
            "StableDiffusionXLControlNetPipeline",
        ]
    )
    _import_structure["deepfloyd_if"] = [
        "IFImg2ImgPipeline",
        "IFImg2ImgSuperResolutionPipeline",
        "IFInpaintingPipeline",
        "IFInpaintingSuperResolutionPipeline",
        "IFPipeline",
        "IFSuperResolutionPipeline",
    ]
    _import_structure["kandinsky"] = [
        "KandinskyCombinedPipeline",
        "KandinskyImg2ImgCombinedPipeline",
        "KandinskyImg2ImgPipeline",
        "KandinskyInpaintCombinedPipeline",
        "KandinskyInpaintPipeline",
        "KandinskyPipeline",
        "KandinskyPriorPipeline",
    ]
    _import_structure["kandinsky2_2"] = [
        "KandinskyV22CombinedPipeline",
        "KandinskyV22ControlnetImg2ImgPipeline",
        "KandinskyV22ControlnetPipeline",
        "KandinskyV22Img2ImgCombinedPipeline",
        "KandinskyV22Img2ImgPipeline",
        "KandinskyV22InpaintCombinedPipeline",
        "KandinskyV22InpaintPipeline",
        "KandinskyV22Pipeline",
        "KandinskyV22PriorEmb2EmbPipeline",
        "KandinskyV22PriorPipeline",
    ]
    _import_structure["latent_diffusion"].extend(["LDMTextToImagePipeline"])
    _import_structure["musicldm"] = ["MusicLDMPipeline"]
    _import_structure["paint_by_example"] = ["PaintByExamplePipeline"]
    _import_structure["semantic_stable_diffusion"] = ["SemanticStableDiffusionPipeline"]
    _import_structure["shap_e"] = ["ShapEImg2ImgPipeline", "ShapEPipeline"]
    _import_structure["stable_diffusion"].extend(
        [
            "CycleDiffusionPipeline",
            "StableDiffusionAttendAndExcitePipeline",
            "StableDiffusionDepth2ImgPipeline",
            "StableDiffusionDiffEditPipeline",
            "StableDiffusionGLIGENPipeline",
            "StableDiffusionImageVariationPipeline",
            "StableDiffusionImg2ImgPipeline",
            "StableDiffusionInpaintPipeline",
            "StableDiffusionInpaintPipelineLegacy",
            "StableDiffusionInstructPix2PixPipeline",
            "StableDiffusionLatentUpscalePipeline",
            "StableDiffusionLDM3DPipeline",
            "StableDiffusionModelEditingPipeline",
            "StableDiffusionPanoramaPipeline",
            "StableDiffusionParadigmsPipeline",
            "StableDiffusionPipeline",
            "StableDiffusionPix2PixZeroPipeline",
            "StableDiffusionSAGPipeline",
            "StableDiffusionUpscalePipeline",
            "StableUnCLIPImg2ImgPipeline",
            "StableUnCLIPPipeline",
            "StableDiffusionGLIGENTextImagePipeline",
            "StableDiffusionGLIGENPipeline",
        ]
    )
    _import_structure["stable_diffusion_safe"] = ["StableDiffusionPipelineSafe"]
    _import_structure["stable_diffusion_xl"] = [
        "StableDiffusionXLImg2ImgPipeline",
        "StableDiffusionXLInpaintPipeline",
        "StableDiffusionXLInstructPix2PixPipeline",
        "StableDiffusionXLPipeline",
    ]
    _import_structure["t2i_adapter"] = ["StableDiffusionAdapterPipeline", "StableDiffusionXLAdapterPipeline"]
    _import_structure["text_to_video_synthesis"] = [
        "TextToVideoSDPipeline",
        "TextToVideoZeroPipeline",
        "VideoToVideoSDPipeline",
    ]
    _import_structure["unclip"] = ["UnCLIPImageVariationPipeline", "UnCLIPPipeline"]
    _import_structure["unidiffuser"] = [
        "ImageTextPipelineOutput",
        "UniDiffuserModel",
        "UniDiffuserPipeline",
        "UniDiffuserTextDecoder",
    ]
    _import_structure["versatile_diffusion"] = [
        "VersatileDiffusionDualGuidedPipeline",
        "VersatileDiffusionImageVariationPipeline",
        "VersatileDiffusionPipeline",
        "VersatileDiffusionTextToImagePipeline",
    ]
    _import_structure["vq_diffusion"] = ["VQDiffusionPipeline"]
    _import_structure["wuerstchen"] = [
        "WuerstchenCombinedPipeline",
        "WuerstchenDecoderPipeline",
        "WuerstchenPriorPipeline",
    ]


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

    _dummy_objects.update(get_objects_from_module(dummy_onnx_objects))

else:
    _import_structure["onnx_utils"] = ["OnnxRuntimeModel"]

try:
    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_torch_and_transformers_and_onnx_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_and_onnx_objects))

else:
    _import_structure["stable_diffusion"].extend(
        [
            "OnnxStableDiffusionImg2ImgPipeline",
            "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 import dummy_torch_and_transformers_and_k_diffusion_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_and_k_diffusion_objects))

else:
    _import_structure["stable_diffusion"].extend(["StableDiffusionKDiffusionPipeline"])

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

    _dummy_objects.update(get_objects_from_module(dummy_flax_objects))

else:
    _import_structure["pipeline_flax_utils"] = ["FlaxDiffusionPipeline"]


try:
    if not (is_flax_available() and is_transformers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ..utils import dummy_flax_and_transformers_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_flax_and_transformers_objects))

else:
    _import_structure["controlnet"].extend(["FlaxStableDiffusionControlNetPipeline"])
    _import_structure["stable_diffusion"].extend(
        [
            "FlaxStableDiffusionImg2ImgPipeline",
            "FlaxStableDiffusionInpaintPipeline",
            "FlaxStableDiffusionPipeline",
        ]
    )
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"]


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)