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typo: docstring spelling fixes
looks like they've already been corrected in the upstream copy
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@ -290,10 +290,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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[CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer).
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unet ([`UNet2DConditionModel`]): Conditional U-Net architecture to denoise the encoded image latents.
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scheduler ([`SchedulerMixin`]):
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A scheduler to be used in combination with `unet` to denoise the encoded image latens. Can be one of
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A scheduler to be used in combination with `unet` to denoise the encoded image latents. Can be one of
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[`DDIMScheduler`], [`LMSDiscreteScheduler`], or [`PNDMScheduler`].
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safety_checker ([`StableDiffusionSafetyChecker`]):
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Classification module that estimates whether generated images could be considered offsensive or harmful.
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Classification module that estimates whether generated images could be considered offensive or harmful.
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Please, refer to the [model card](https://huggingface.co/CompVis/stable-diffusion-v1-4) for details.
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feature_extractor ([`CLIPFeatureExtractor`]):
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Model that extracts features from generated images to be used as inputs for the `safety_checker`.
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@ -436,7 +436,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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"""
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Ready this pipeline's models.
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i.e. pre-load them to the GPU if appropriate.
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i.e. preload them to the GPU if appropriate.
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"""
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self._model_group.ready()
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