




'''simple docstring'''





from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    '''cross_attention''',
    '''0.20.0''',
    '''Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.''',
    standard_warn=False,
)


a		:  Dict   			=			AttentionProcessor




class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       Any       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       Union[str, Any]       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       Optional[int]       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       Tuple       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       Tuple       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       List[str]       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       Optional[int]       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )






class     UpperCamelCase					(  snake_case__					):



  def __init__( self		,    *__lowerCAmelCase		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      _a							:       str       					=			f'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
      deprecate("""cross_attention"""		,    """0.20.0"""		,    __lowerCAmelCase		,    standard_warn=__lowerCAmelCase   )
      super().__init__(*__lowerCAmelCase		,    **__lowerCAmelCase   )








'''simple docstring'''





import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference




@slow
@require_torch_gpu
class     UpperCamelCase					(  unittest.TestCase					):



  def 						a_       ( self   ):







      '''simple docstring'''


      _a							:       List[Any]       					=			"""runwayml/stable-diffusion-v1-5"""
      _a							:       Tuple       					=			TextToVideoZeroPipeline.from_pretrained(__lowerCAmelCase		,    torch_dtype=torch.floataa   ).to("""cuda"""   )
      _a							:       Dict       					=			DDIMScheduler.from_config(pipe.scheduler.config   )
      _a							:       int       					=			torch.Generator(device="""cuda"""   ).manual_seed(0   )

      _a							:       Union[str, Any]       					=			"""A bear is playing a guitar on Times Square"""
      _a							:       List[Any]       					=			pipe(prompt=__lowerCAmelCase		,    generator=__lowerCAmelCase   ).images

      _a							:       Any       					=			load_pt(
          """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt"""   )

      assert_mean_pixel_difference(__lowerCAmelCase		,    __lowerCAmelCase   )


