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[Docs] fix docstring typo in SD3 pipeline (#9765)
* fix docstring typo in SD3 pipeline * fix docstring typo in SD3 pipeline
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@@ -762,8 +762,8 @@ class StableDiffusion3Pipeline(DiffusionPipeline, SD3LoraLoaderMixin, FromSingle
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The output format of the generate image. Choose between
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[PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
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return_dict (`bool`, *optional*, defaults to `True`):
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Whether or not to return a [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] instead
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of a plain tuple.
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Whether or not to return a [`~pipelines.stable_diffusion_3.StableDiffusion3PipelineOutput`] instead of
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a plain tuple.
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joint_attention_kwargs (`dict`, *optional*):
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A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
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`self.processor` in
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@@ -800,8 +800,8 @@ class StableDiffusion3Img2ImgPipeline(DiffusionPipeline, SD3LoraLoaderMixin, Fro
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The output format of the generate image. Choose between
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[PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
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return_dict (`bool`, *optional*, defaults to `True`):
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Whether or not to return a [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] instead
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of a plain tuple.
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Whether or not to return a [`~pipelines.stable_diffusion_3.StableDiffusion3PipelineOutput`] instead of
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a plain tuple.
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joint_attention_kwargs (`dict`, *optional*):
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A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
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`self.processor` in
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@@ -921,8 +921,8 @@ class StableDiffusion3InpaintPipeline(DiffusionPipeline, SD3LoraLoaderMixin, Fro
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The output format of the generate image. Choose between
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[PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
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return_dict (`bool`, *optional*, defaults to `True`):
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Whether or not to return a [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] instead
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of a plain tuple.
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Whether or not to return a [`~pipelines.stable_diffusion_3.StableDiffusion3PipelineOutput`] instead of
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a plain tuple.
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callback_on_step_end (`Callable`, *optional*):
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A function that calls at the end of each denoising steps during the inference. The function is called
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with the following arguments: `callback_on_step_end(self: DiffusionPipeline, step: int, timestep: int,
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