
"""simple docstring"""
from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import (
    BaseOutput,
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_onnx_available,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)
@dataclass
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		42
							_snake_case						      =		42


try:
			if not (is_transformers_available() and is_torch_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
			from .pipeline_cycle_diffusion import CycleDiffusionPipeline
			from .pipeline_stable_diffusion import StableDiffusionPipeline
			from .pipeline_stable_diffusion_attend_and_excite import StableDiffusionAttendAndExcitePipeline
			from .pipeline_stable_diffusion_imgaimg import StableDiffusionImgaImgPipeline
			from .pipeline_stable_diffusion_inpaint import StableDiffusionInpaintPipeline
			from .pipeline_stable_diffusion_inpaint_legacy import StableDiffusionInpaintPipelineLegacy
			from .pipeline_stable_diffusion_instruct_pixapix import StableDiffusionInstructPixaPixPipeline
			from .pipeline_stable_diffusion_latent_upscale import StableDiffusionLatentUpscalePipeline
			from .pipeline_stable_diffusion_ldmad import StableDiffusionLDMaDPipeline
			from .pipeline_stable_diffusion_model_editing import StableDiffusionModelEditingPipeline
			from .pipeline_stable_diffusion_panorama import StableDiffusionPanoramaPipeline
			from .pipeline_stable_diffusion_paradigms import StableDiffusionParadigmsPipeline
			from .pipeline_stable_diffusion_sag import StableDiffusionSAGPipeline
			from .pipeline_stable_diffusion_upscale import StableDiffusionUpscalePipeline
			from .pipeline_stable_unclip import StableUnCLIPPipeline
			from .pipeline_stable_unclip_imgaimg import StableUnCLIPImgaImgPipeline
			from .safety_checker import StableDiffusionSafetyChecker
			from .stable_unclip_image_normalizer import StableUnCLIPImageNormalizer

try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import StableDiffusionImageVariationPipeline
else:
			from .pipeline_stable_diffusion_image_variation import StableDiffusionImageVariationPipeline


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.26.0''')):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import (
			    StableDiffusionDepthaImgPipeline,
			    StableDiffusionDiffEditPipeline,
			    StableDiffusionPixaPixZeroPipeline,
			)
else:
			from .pipeline_stable_diffusion_depthaimg import StableDiffusionDepthaImgPipeline
			from .pipeline_stable_diffusion_diffedit import StableDiffusionDiffEditPipeline
			from .pipeline_stable_diffusion_pixapix_zero import StableDiffusionPixaPixZeroPipeline


try:
			if not (
			    is_torch_available()
			    and is_transformers_available()
			    and is_k_diffusion_available()
			    and is_k_diffusion_version('''>=''', '''0.0.12''')
			):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
else:
			from .pipeline_stable_diffusion_k_diffusion import StableDiffusionKDiffusionPipeline

try:
			if not (is_transformers_available() and is_onnx_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_onnx_objects import *  # noqa F403
else:
			from .pipeline_onnx_stable_diffusion import OnnxStableDiffusionPipeline, StableDiffusionOnnxPipeline
			from .pipeline_onnx_stable_diffusion_imgaimg import OnnxStableDiffusionImgaImgPipeline
			from .pipeline_onnx_stable_diffusion_inpaint import OnnxStableDiffusionInpaintPipeline
			from .pipeline_onnx_stable_diffusion_inpaint_legacy import OnnxStableDiffusionInpaintPipelineLegacy
			from .pipeline_onnx_stable_diffusion_upscale import OnnxStableDiffusionUpscalePipeline

if is_transformers_available() and is_flax_available():
			import flax
			@flax.struct.dataclass
			class       lowerCAmelCase_		(				A__ ):



										'''simple docstring'''





										_snake_case						      =		42
										_snake_case						      =		42
			from ...schedulers.scheduling_pndm_flax import PNDMSchedulerState
			from .pipeline_flax_stable_diffusion import FlaxStableDiffusionPipeline
			from .pipeline_flax_stable_diffusion_imgaimg import FlaxStableDiffusionImgaImgPipeline
			from .pipeline_flax_stable_diffusion_inpaint import FlaxStableDiffusionInpaintPipeline
			from .safety_checker_flax import FlaxStableDiffusionSafetyChecker


"""simple docstring"""
import warnings

from ..trainer import Trainer
from ..utils import logging


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							def __init__( self    ,				snake_case_=None    ,				**snake_case_				)       ->  Optional[Any]:
													warnings.warn(
													    """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
													    """instead."""    ,				snake_case_    ,				)
													super().__init__(args=snake_case_    ,				**snake_case_				)
