@@ -892,7 +892,7 @@ def __call__(
892892 mask_image : PipelineImageInput = None ,
893893 height : Optional [int ] = None ,
894894 width : Optional [int ] = None ,
895- strength : float = 1.0 ,
895+ strength : float = 0.9999 ,
896896 num_inference_steps : int = 50 ,
897897 denoising_start : Optional [float ] = None ,
898898 denoising_end : Optional [float ] = None ,
@@ -944,7 +944,7 @@ def __call__(
944944 The height in pixels of the generated image.
945945 width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
946946 The width in pixels of the generated image.
947- strength (`float`, *optional*, defaults to 1. ):
947+ strength (`float`, *optional*, defaults to 0.9999 ):
948948 Conceptually, indicates how much to transform the masked portion of the reference `image`. Must be
949949 between 0 and 1. `image` will be used as a starting point, adding more noise to it the larger the
950950 `strength`. The number of denoising steps depends on the amount of noise initially added. When
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