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		Running
		
			on 
			
			Zero
	| 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["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["stable_diffusion_variants"] = [ | |
| "CycleDiffusionPipeline", | |
| "StableDiffusionInpaintPipelineLegacy", | |
| "StableDiffusionPix2PixZeroPipeline", | |
| "StableDiffusionParadigmsPipeline", | |
| "StableDiffusionModelEditingPipeline", | |
| ] | |
| 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 .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 .audio_diffusion import AudioDiffusionPipeline, Mel | |
| from .spectrogram_diffusion import SpectrogramDiffusionPipeline | |
| from .stable_diffusion_variants import ( | |
| CycleDiffusionPipeline, | |
| StableDiffusionInpaintPipelineLegacy, | |
| StableDiffusionModelEditingPipeline, | |
| StableDiffusionParadigmsPipeline, | |
| StableDiffusionPix2PixZeroPipeline, | |
| ) | |
| from .stochastic_karras_ve import KarrasVePipeline | |
| from .versatile_diffusion import ( | |
| VersatileDiffusionDualGuidedPipeline, | |
| VersatileDiffusionImageVariationPipeline, | |
| VersatileDiffusionPipeline, | |
| VersatileDiffusionTextToImagePipeline, | |
| ) | |
| from .vq_diffusion import VQDiffusionPipeline | |
| 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) | |
 
			
