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update __init__
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@@ -39,6 +39,7 @@ _import_structure = {
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"loaders": ["FromOriginalModelMixin"],
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"models": [],
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"pipelines": [],
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"modular_pipelines": [],
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"quantizers.quantization_config": [],
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"schedulers": [],
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"utils": [
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@@ -254,13 +255,19 @@ else:
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"KarrasVePipeline",
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"LDMPipeline",
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"LDMSuperResolutionPipeline",
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"ModularLoader",
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"PNDMPipeline",
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"RePaintPipeline",
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"ScoreSdeVePipeline",
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"StableDiffusionMixin",
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]
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)
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_import_structure["modular_pipelines"].extend(
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[
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"ModularLoader",
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"ComponentSpec",
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"ComponentsManager",
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]
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)
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_import_structure["quantizers"] = ["DiffusersQuantizer"]
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_import_structure["schedulers"].extend(
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[
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@@ -509,12 +516,10 @@ else:
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"StableDiffusionXLImg2ImgPipeline",
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"StableDiffusionXLInpaintPipeline",
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"StableDiffusionXLInstructPix2PixPipeline",
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"StableDiffusionXLModularLoader",
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"StableDiffusionXLPAGImg2ImgPipeline",
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"StableDiffusionXLPAGInpaintPipeline",
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"StableDiffusionXLPAGPipeline",
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"StableDiffusionXLPipeline",
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"StableDiffusionXLAutoPipeline",
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"StableUnCLIPImg2ImgPipeline",
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"StableUnCLIPPipeline",
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"StableVideoDiffusionPipeline",
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@@ -541,6 +546,24 @@ else:
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]
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)
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try:
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if not (is_torch_available() and is_transformers_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from .utils import dummy_torch_and_transformers_objects # noqa F403
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_import_structure["utils.dummy_torch_and_transformers_objects"] = [
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name for name in dir(dummy_torch_and_transformers_objects) if not name.startswith("_")
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]
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else:
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_import_structure["modular_pipelines"].extend(
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[
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"StableDiffusionXLAutoPipeline",
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"StableDiffusionXLModularLoader",
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]
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)
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try:
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if not (is_torch_available() and is_transformers_available() and is_opencv_available()):
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raise OptionalDependencyNotAvailable()
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@@ -864,12 +887,16 @@ if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
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KarrasVePipeline,
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LDMPipeline,
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LDMSuperResolutionPipeline,
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ModularLoader,
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PNDMPipeline,
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RePaintPipeline,
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ScoreSdeVePipeline,
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StableDiffusionMixin,
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)
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from .modular_pipelines import (
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ModularLoader,
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ComponentSpec,
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ComponentsManager,
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)
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from .quantizers import DiffusersQuantizer
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from .schedulers import (
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AmusedScheduler,
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@@ -1097,12 +1124,10 @@ if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
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StableDiffusionXLImg2ImgPipeline,
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StableDiffusionXLInpaintPipeline,
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StableDiffusionXLInstructPix2PixPipeline,
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StableDiffusionXLModularLoader,
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StableDiffusionXLPAGImg2ImgPipeline,
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StableDiffusionXLPAGInpaintPipeline,
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StableDiffusionXLPAGPipeline,
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StableDiffusionXLPipeline,
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StableDiffusionXLAutoPipeline,
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StableUnCLIPImg2ImgPipeline,
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StableUnCLIPPipeline,
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StableVideoDiffusionPipeline,
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@@ -1127,7 +1152,16 @@ if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
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WuerstchenDecoderPipeline,
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WuerstchenPriorPipeline,
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)
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try:
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if not (is_torch_available() and is_transformers_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from .utils.dummy_torch_and_transformers_objects import * # noqa F403
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else:
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from .modular_pipelines import (
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StableDiffusionXLAutoPipeline,
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StableDiffusionXLModularLoader,
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)
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try:
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if not (is_torch_available() and is_transformers_available() and is_k_diffusion_available()):
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raise OptionalDependencyNotAvailable()
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