

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 						__magic_name__			(							lowerCamelCase__							):

   '''simple docstring'''




   lowerCamelCase__ :	Union[List[PIL.Image.Image], np.ndarray]
   lowerCamelCase__ :	Optional[List[bool]]


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 						__magic_name__			(							lowerCamelCase__							):

          '''simple docstring'''




          lowerCamelCase__ :	np.ndarray
          lowerCamelCase__ :	List[bool]





       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 diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    '''The `inpainting.py` script is outdated. Please use directly `from diffusers import'''
    ''' StableDiffusionInpaintPipeline` instead.'''
)