code: 
  
  
  
  
  
  '''simple docstring'''
  
  from typing import Any, Callable, Dict, List, Optional, Union
  
  import PIL.Image
  import torch
  from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
  
  from diffusers import (
      AutoencoderKL,
      DDIMScheduler,
      DiffusionPipeline,
      LMSDiscreteScheduler,
      PNDMScheduler,
      StableDiffusionImgaImgPipeline,
      StableDiffusionInpaintPipelineLegacy,
      StableDiffusionPipeline,
      UNetaDConditionModel,
  )
  from diffusers.configuration_utils import FrozenDict
  from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
  from diffusers.utils import deprecate, logging
  
  
  lowercase_			       =				logging.get_logger(__name__)  # pylint: disable=invalid-name
  
  
  class       a_  (       snake_case_ ):
  
      '''simple docstring'''
      UpperCamelCase									=				['''safety_checker''', '''feature_extractor''']
  
  
      def __init__(	self				,	A				,	A				,	A				,	A				,	A				,	A				,	A				,	A = True				,	)	->     List[Any]:
          super().__init__()
          if hasattr(scheduler.config				,	"""steps_offset""" ) and scheduler.config.steps_offset != 1:
              _SCREAMING_SNAKE_CASE             =    (
                  f'The configuration file of this scheduler: {scheduler} is outdated. `steps_offset`'
                  f' should be set to 1 instead of {scheduler.config.steps_offset}. Please make sure '
                  """to update the config accordingly as leaving `steps_offset` might led to incorrect results"""
                  """ in future versions. If you have downloaded this checkpoint from the Hugging Face Hub,"""
                  """ it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json`"""
                  """ file"""
              )
              deprecate("""steps_offset!=1"""				,	"""1.0.0"""				,	A				,	standard_warn=A )
              _SCREAMING_SNAKE_CASE             =    dict(scheduler.config )
              _SCREAMING_SNAKE_CASE             =    1
              _SCREAMING_SNAKE_CASE             =    FrozenDict(A )
  
          self.register_modules(
              vae=A				,	text_encoder=A				,	tokenizer=A				,	unet=A				,	scheduler=A				,	safety_checker=A				,	feature_extractor=A				,	)
          self.register_to_config(requires_safety_checker=A )
  
  
      @property
      def     snake_case_(	self )	->     Dict[str, Any]:
          return {k: getattr(self				,	A ) for k in self.config.keys() if not k.startswith("""_""" )}
  
  
      def     snake_case_(	self				,	A = "auto" )	->     Union[str, Any]:
          if slice_size == "auto":
              # half the attention head size is usually a good trade-off between
              # speed and memory
              _SCREAMING_SNAKE_CASE             =    self.unet.config.attention_head_dim // 2
          self.unet.set_attention_slice(A )
  
  
      def     snake_case_(	self )	->     Any:
          self.enable_attention_slicing(A )
  
  
      @torch.no_grad()
      def     snake_case_(	self				,	A				,	A				,	A				,	A = 0.8				,	A = 50				,	A = 7.5				,	A = None				,	A = 1				,	A = 0.0				,	A = None				,	A = "pil"				,	A = True				,	A = None				,	A = 1				,	)	->     Union[str, Any]:
          # For more information on how this function works, please see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionImg2ImgPipeline
          return StableDiffusionInpaintPipelineLegacy(**self.components )(
              prompt=A				,	image=A				,	mask_image=A				,	strength=A				,	num_inference_steps=A				,	guidance_scale=A				,	negative_prompt=A				,	num_images_per_prompt=A				,	eta=A				,	generator=A				,	output_type=A				,	return_dict=A				,	callback=A				,	)
  
  
      @torch.no_grad()
      def     snake_case_(	self				,	A				,	A				,	A = 0.8				,	A = 50				,	A = 7.5				,	A = None				,	A = 1				,	A = 0.0				,	A = None				,	A = "pil"				,	A = True				,	A = None				,	A = 1				,	**A				,	)	->     Optional[Any]:
          # For more information on how this function works, please see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionImg2ImgPipeline
          return StableDiffusionImgaImgPipeline(**self.components )(
              prompt=A				,	image=A				,	strength=A				,	num_inference_steps=A				,	guidance_scale=A				,	negative_prompt=A				,	num_images_per_prompt=A				,	eta=A				,	generator=A				,	output_type=A				,	return_dict=A				,	callback=A				,	callback_steps=A				,	)
  
  
  
  
  
      @torch.no_grad()
      def     snake_case_(	self				,	A				,	A = 512				,	A = 512				,	A = 50				,	A = 7.5				,	A = None				,	A = 1				,	A = 0.0				,	A = None				,	A = None				,	A = "pil"				,	A = True				,	A = None				,	A = 1				,	)	->     Any:
          # For more information on how this function https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionPipeline
          return StableDiffusionPipeline(**self.components )(
              prompt=A				,	height=A				,	width=A				,	num_inference_steps=A				,	guidance_scale=A				,	negative_prompt=A				,	num_images_per_prompt=A				,	eta=A				,	generator=A				,	latents=A				,	output_type=A				,	return_dict=A				,	callback=A				,	callback_steps=A				,	)
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  def lowerCamelCase		(  __lowerCamelCase				:					float      , __lowerCamelCase				:					float      , __lowerCamelCase				:					float					)		->list[int]:
      if hue < 0 or hue > 360:
          raise Exception("""hue should be between 0 and 360"""					)
  
      if saturation < 0 or saturation > 1:
          raise Exception("""saturation should be between 0 and 1"""					)
  
      if value < 0 or value > 1:
          raise Exception("""value should be between 0 and 1"""					)
  
      _SCREAMING_SNAKE_CASE             =    value * saturation
      _SCREAMING_SNAKE_CASE             =    hue / 60
      _SCREAMING_SNAKE_CASE             =    chroma * (1 - abs(hue_section % 2 - 1					))
      _SCREAMING_SNAKE_CASE             =    value - chroma
  
      if hue_section >= 0 and hue_section <= 1:
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
      elif hue_section > 1 and hue_section <= 2:
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
      elif hue_section > 2 and hue_section <= 3:
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
      elif hue_section > 3 and hue_section <= 4:
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
      elif hue_section > 4 and hue_section <= 5:
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
      else:
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
  
      return [red, green, blue]
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					int      , __lowerCamelCase				:					int      , __lowerCamelCase				:					int					)		->list[float]:
      if red < 0 or red > 255:
          raise Exception("""red should be between 0 and 255"""					)
  
      if green < 0 or green > 255:
          raise Exception("""green should be between 0 and 255"""					)
  
      if blue < 0 or blue > 255:
          raise Exception("""blue should be between 0 and 255"""					)
  
      _SCREAMING_SNAKE_CASE             =    red / 255
      _SCREAMING_SNAKE_CASE             =    green / 255
      _SCREAMING_SNAKE_CASE             =    blue / 255
      _SCREAMING_SNAKE_CASE             =    max(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)
      _SCREAMING_SNAKE_CASE             =    value - min(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)
      _SCREAMING_SNAKE_CASE             =    0 if value == 0 else chroma / value
  
      if chroma == 0:
          _SCREAMING_SNAKE_CASE             =    0.0
      elif value == float_red:
          _SCREAMING_SNAKE_CASE             =    60 * (0 + (float_green - float_blue) / chroma)
      elif value == float_green:
          _SCREAMING_SNAKE_CASE             =    60 * (2 + (float_blue - float_red) / chroma)
      else:
          _SCREAMING_SNAKE_CASE             =    60 * (4 + (float_red - float_green) / chroma)
  
      _SCREAMING_SNAKE_CASE             =    (hue + 360) % 360
  
      return [hue, saturation, value]
  
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					list[float]      , __lowerCamelCase				:					list[float]					)		->bool:
      _SCREAMING_SNAKE_CASE             =    abs(hsv_a[0] - hsv_a[0]					) < 0.2
      _SCREAMING_SNAKE_CASE             =    abs(hsv_a[1] - hsv_a[1]					) < 0.002
      _SCREAMING_SNAKE_CASE             =    abs(hsv_a[2] - hsv_a[2]					) < 0.002
  
      return check_hue and check_saturation and check_value
  
  
  
  