from typing import TYPE_CHECKING

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
_dummy_objects = {}
_import_structure = {"stable_diffusion": [], "latent_diffusion": [], "controlnet": []}

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(
        [
            "CLIPImageProjection",
            "CycleDiffusionPipeline",
            "StableDiffusionAttendAndExcitePipeline",
            "StableDiffusionDepth2ImgPipeline",
            "StableDiffusionDiffEditPipeline",
            "StableDiffusionGLIGENPipeline",
            "StableDiffusionGLIGENPipeline",
            "StableDiffusionGLIGENTextImagePipeline",
            "StableDiffusionImageVariationPipeline",
            "StableDiffusionImg2ImgPipeline",
            "StableDiffusionInpaintPipeline",
            "StableDiffusionInpaintPipelineLegacy",
            "StableDiffusionInstructPix2PixPipeline",
            "StableDiffusionLatentUpscalePipeline",
            "StableDiffusionLDM3DPipeline",
            "StableDiffusionModelEditingPipeline",
            "StableDiffusionPanoramaPipeline",
            "StableDiffusionParadigmsPipeline",
            "StableDiffusionPipeline",
            "StableDiffusionPix2PixZeroPipeline",
            "StableDiffusionSAGPipeline",
            "StableDiffusionUpscalePipeline",
            "StableUnCLIPImg2ImgPipeline",
            "StableUnCLIPPipeline",
        ]
    )
    _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"]

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

    else:
        from .auto_pipeline import AutoPipelineForImage2Image, AutoPipelineForInpainting, AutoPipelineForText2Image
        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 *
    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 *
    else:
        from .alt_diffusion import AltDiffusionImg2ImgPipeline, AltDiffusionPipeline
        from .audioldm import AudioLDMPipeline
        from .audioldm2 import AudioLDM2Pipeline, AudioLDM2ProjectionModel, AudioLDM2UNet2DConditionModel
        from .controlnet import (
            StableDiffusionControlNetImg2ImgPipeline,
            StableDiffusionControlNetInpaintPipeline,
            StableDiffusionControlNetPipeline,
            StableDiffusionXLControlNetImg2ImgPipeline,
            StableDiffusionXLControlNetInpaintPipeline,
            StableDiffusionXLControlNetPipeline,
        )
        from .deepfloyd_if import (
            IFImg2ImgPipeline,
            IFImg2ImgSuperResolutionPipeline,
            IFInpaintingPipeline,
            IFInpaintingSuperResolutionPipeline,
            IFPipeline,
            IFSuperResolutionPipeline,
        )
        from .kandinsky import (
            KandinskyCombinedPipeline,
            KandinskyImg2ImgCombinedPipeline,
            KandinskyImg2ImgPipeline,
            KandinskyInpaintCombinedPipeline,
            KandinskyInpaintPipeline,
            KandinskyPipeline,
            KandinskyPriorPipeline,
        )
        from .kandinsky2_2 import (
            KandinskyV22CombinedPipeline,
            KandinskyV22ControlnetImg2ImgPipeline,
            KandinskyV22ControlnetPipeline,
            KandinskyV22Img2ImgCombinedPipeline,
            KandinskyV22Img2ImgPipeline,
            KandinskyV22InpaintCombinedPipeline,
            KandinskyV22InpaintPipeline,
            KandinskyV22Pipeline,
            KandinskyV22PriorEmb2EmbPipeline,
            KandinskyV22PriorPipeline,
        )
        from .latent_diffusion import LDMTextToImagePipeline
        from .musicldm import MusicLDMPipeline
        from .paint_by_example import PaintByExamplePipeline
        from .semantic_stable_diffusion import SemanticStableDiffusionPipeline
        from .shap_e import ShapEImg2ImgPipeline, ShapEPipeline
        from .stable_diffusion import (
            CLIPImageProjection,
            CycleDiffusionPipeline,
            StableDiffusionAttendAndExcitePipeline,
            StableDiffusionDepth2ImgPipeline,
            StableDiffusionDiffEditPipeline,
            StableDiffusionGLIGENPipeline,
            StableDiffusionGLIGENTextImagePipeline,
            StableDiffusionImageVariationPipeline,
            StableDiffusionImg2ImgPipeline,
            StableDiffusionInpaintPipeline,
            StableDiffusionInpaintPipelineLegacy,
            StableDiffusionInstructPix2PixPipeline,
            StableDiffusionLatentUpscalePipeline,
            StableDiffusionLDM3DPipeline,
            StableDiffusionModelEditingPipeline,
            StableDiffusionPanoramaPipeline,
            StableDiffusionParadigmsPipeline,
            StableDiffusionPipeline,
            StableDiffusionPix2PixZeroPipeline,
            StableDiffusionSAGPipeline,
            StableDiffusionUpscalePipeline,
            StableUnCLIPImg2ImgPipeline,
            StableUnCLIPPipeline,
        )
        from .stable_diffusion_safe import StableDiffusionPipelineSafe
        from .stable_diffusion_xl import (
            StableDiffusionXLImg2ImgPipeline,
            StableDiffusionXLInpaintPipeline,
            StableDiffusionXLInstructPix2PixPipeline,
            StableDiffusionXLPipeline,
        )
        from .t2i_adapter import StableDiffusionAdapterPipeline, StableDiffusionXLAdapterPipeline
        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
        from .wuerstchen import (
            WuerstchenCombinedPipeline,
            WuerstchenDecoderPipeline,
            WuerstchenPriorPipeline,
        )

        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 *
        else:
            from .stable_diffusion import (
                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.dummy_torch_and_transformers_and_k_diffusion_objects import *
        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 *
        else:
            from .controlnet import FlaxStableDiffusionControlNetPipeline
            from .stable_diffusion import (
                FlaxStableDiffusionImg2ImgPipeline,
                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

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)
