

"""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 				SCREAMING_SNAKE_CASE					(		lowerCamelCase_       ):






					"""simple docstring"""



					lowercase__				 =       42
					lowercase__				 =       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 				SCREAMING_SNAKE_CASE					(		lowerCamelCase_       ):






												"""simple docstring"""



												lowercase__				 =       42
												lowercase__				 =       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"""




# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


__UpperCamelCase						=      open  # noqa: we just need to have a builtin inside this module to test it properly


