






'''simple docstring'''







from PIL import Image
def     A__      (					__lowerCAmelCase		:      Image ,     __lowerCAmelCase		:      float    ):

						def brightness(__lowerCAmelCase		:      int    ) -> float:
												return 128 + level + (c - 128)

						if not -255.0 <= level <= 255.0:
												raise ValueError("""level must be between -255.0 (black) and 255.0 (white)"""    )
						return img.point(__lowerCAmelCase    )


if __name__ == "__main__":
							# Load image
							with Image.open('image_data/lena.jpg') as img:
														# Change brightness to 100
														UpperCamelCase     :   Union[str, Any]	      =		change_brightness(img, 1_00)
														brigt_img.save('image_data/lena_brightness.png', format='png')




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


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 (
       VersatileDiffusionDualGuidedPipeline,
       VersatileDiffusionImageVariationPipeline,
       VersatileDiffusionPipeline,
       VersatileDiffusionTextToImagePipeline,
   )
else:
   from .modeling_text_unet import UNetFlatConditionModel
   from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
   from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
   from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
   from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline


