



"""simple docstring"""

import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


A_						:    Dict				=      {
    'debug': logging.DEBUG,
    'info': logging.INFO,
    'warning': logging.WARNING,
    'error': logging.ERROR,
    'critical': logging.CRITICAL,
}

A_						:    int				=      logging.WARNING
def  __snake_case							(	)     ->       int:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     os.getenv('DATASETS_VERBOSITY'							,		__A     )
				if env_level_str:
								if env_level_str in log_levels:
												return log_levels[env_level_str]
								else:
												logging.getLogger().warning(
												    F"""Unknown option DATASETS_VERBOSITY={env_level_str}, """
												    F"""has to be one of: { ", ".join(log_levels.keys()     ) }"""     )
				return _default_log_level
def  __snake_case							(	)     ->       str:






				'''simple docstring'''
				return __name__.split('.'     )[0]
def  __snake_case							(	)     ->       logging.Logger:






				'''simple docstring'''
				return logging.getLogger(_get_library_name()     )
def  __snake_case							(	)     ->       None:






				'''simple docstring'''
				# Apply our default configuration to the library root logger.
				SCREAMING_SNAKE_CASE						:							List[Any]							=     _get_library_root_logger()
				library_root_logger.setLevel(_get_default_logging_level()     )
def  __snake_case							(	)     ->       None:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     _get_library_root_logger()
				library_root_logger.setLevel(logging.NOTSET     )
def  __snake_case							(	__A      :						Optional[str] = None     )     ->       logging.Logger:






				'''simple docstring'''
				if name is None:
								SCREAMING_SNAKE_CASE						:							str							=     _get_library_name()
				return logging.getLogger(__A     )
def  __snake_case							(	)     ->       int:






				'''simple docstring'''
				return _get_library_root_logger().getEffectiveLevel()
def  __snake_case							(	__A      :						int     )     ->       None:






				'''simple docstring'''
				_get_library_root_logger().setLevel(__A     )
def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				return set_verbosity(__A     )
def  __snake_case							(	)     ->       int:






				'''simple docstring'''
				return set_verbosity(__A     )
def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				return set_verbosity(__A     )
def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				return set_verbosity(__A     )
def  __snake_case							(	)     ->       None:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     False
def  __snake_case							(	)     ->       None:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()
class     lowerCAmelCase__						:


	'''simple docstring'''







	def __init__(      self				:       Union[str, Any]     ,       *_SCREAMING_SNAKE_CASE				:       Optional[int]     ,       **_SCREAMING_SNAKE_CASE				:       int    )						->	Tuple:  # pylint: disable=unused-argument





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Tuple							=     args[0] if args else None





	def __iter__(      self				:       List[str]    )						->	Union[str, Any]:





					"""simple docstring"""


					return iter(self._iterator    )





	def __getattr__(      self				:       Dict     ,       _SCREAMING_SNAKE_CASE				:       List[str]    )						->	List[Any]:





					"""simple docstring"""


					def empty_fn(*_SCREAMING_SNAKE_CASE				:       Union[str, Any]     ,       **_SCREAMING_SNAKE_CASE				:       List[str]    ):  # pylint: disable=unused-argument
									return

					return empty_fn





	def __enter__(      self				:       List[Any]    )						->	List[Any]:





					"""simple docstring"""


					return self







	def __exit__(      self				:       List[str]     ,       _SCREAMING_SNAKE_CASE				:       Dict     ,       _SCREAMING_SNAKE_CASE				:       Union[str, Any]     ,       _SCREAMING_SNAKE_CASE				:       Optional[int]    )						->	List[Any]:





					"""simple docstring"""


					return




A_						:    Union[str, Any]				=      True
class     lowerCAmelCase__						:


	'''simple docstring'''







	def __call__(      self				:       List[Any]     ,       *_SCREAMING_SNAKE_CASE				:       Optional[int]     ,       _SCREAMING_SNAKE_CASE				:       Optional[Any]=False     ,       **_SCREAMING_SNAKE_CASE				:       Optional[int]    )						->	Optional[int]:





					"""simple docstring"""


					if _tqdm_active and not disable:
									return tqdm_lib.tqdm(*_SCREAMING_SNAKE_CASE     ,       **_SCREAMING_SNAKE_CASE    )
					else:
									return EmptyTqdm(*_SCREAMING_SNAKE_CASE     ,       **_SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       Union[str, Any]     ,       *_SCREAMING_SNAKE_CASE				:       List[str]     ,       **_SCREAMING_SNAKE_CASE				:       Optional[int]    )						->	str:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							str							=     None
					if _tqdm_active:
									return tqdm_lib.tqdm.set_lock(*_SCREAMING_SNAKE_CASE     ,       **_SCREAMING_SNAKE_CASE    )







	def 			_lowerCAmelCase     (      self				:       Union[str, Any]    )						->	str:





					"""simple docstring"""


					if _tqdm_active:
									return tqdm_lib.tqdm.get_lock()




A_						:    Dict				=      _tqdm_cls()
def  __snake_case							(	)     ->       bool:






				'''simple docstring'''
				global _tqdm_active
				return bool(_tqdm_active     )
def  __snake_case							(	)     ->       Any:






				'''simple docstring'''
				global _tqdm_active
				SCREAMING_SNAKE_CASE						:							Any							=     True







def  __snake_case							(	)     ->       List[str]:






				'''simple docstring'''
				global _tqdm_active
				SCREAMING_SNAKE_CASE						:							Tuple							=     False










"""simple docstring"""

import argparse

import intel_extension_for_pytorch as ipex
import torch

from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline


A_						:    List[Any]				=      argparse.ArgumentParser('Stable Diffusion script with intel optimization', add_help=False)
parser.add_argument('--dpm', action='store_true', help='Enable DPMSolver or not')
parser.add_argument('--steps', default=None, type=int, help='Num inference steps')
A_						:    Tuple				=      parser.parse_args()


A_						:    Optional[int]				=      'cpu'
A_						:    Dict				=      'a lovely <dicoo> in red dress and hat, in the snowly and brightly night, with many brighly buildings'

A_						:    List[str]				=      'path-to-your-trained-model'
A_						:    Any				=      StableDiffusionPipeline.from_pretrained(model_id)
if args.dpm:
							A_						:    Tuple				=      DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
A_						:    Tuple				=      pipe.to(device)

# to channels last
A_						:    List[str]				=      pipe.unet.to(memory_format=torch.channels_last)
A_						:    List[str]				=      pipe.vae.to(memory_format=torch.channels_last)
A_						:    Optional[int]				=      pipe.text_encoder.to(memory_format=torch.channels_last)
if pipe.requires_safety_checker:
							A_						:    Union[str, Any]				=      pipe.safety_checker.to(memory_format=torch.channels_last)

# optimize with ipex
A_						:    List[Any]				=      torch.randn(2, 4, 64, 64)
A_						:    int				=      torch.rand(1) * 999
A_						:    int				=      torch.randn(2, 77, 768)
A_						:    Tuple				=      (sample, timestep, encoder_hidden_status)
try:
							A_						:    Any				=      ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True, sample_input=input_example)
except Exception:
							A_						:    List[str]				=      ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True)
A_						:    str				=      ipex.optimize(pipe.vae.eval(), dtype=torch.bfloataa, inplace=True)
A_						:    Optional[int]				=      ipex.optimize(pipe.text_encoder.eval(), dtype=torch.bfloataa, inplace=True)
if pipe.requires_safety_checker:
							A_						:    List[str]				=      ipex.optimize(pipe.safety_checker.eval(), dtype=torch.bfloataa, inplace=True)

# compute
A_						:    Union[str, Any]				=      666
A_						:    Optional[Any]				=      torch.Generator(device).manual_seed(seed)
A_						:    Union[str, Any]				=      {'generator': generator}
if args.steps is not None:
							A_						:    int				=      args.steps

with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloataa):
							A_						:    int				=      pipe(prompt, **generate_kwargs).images[0]

# save image
image.save('generated.png')





