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typo: docstring spelling fixes

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looks like they've already been corrected in the upstream copy
This commit is contained in:
Kevin Turner 2023-03-09 17:33:06 -08:00
parent 55d36eaf4f
commit 081397737b
1 changed files with 3 additions and 3 deletions
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invokeai/backend/stable_diffusion/diffusers_pipeline.py
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@ -290,10 +290,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
[CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer). [CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer).
unet ([`UNet2DConditionModel`]): Conditional U-Net architecture to denoise the encoded image latents. unet ([`UNet2DConditionModel`]): Conditional U-Net architecture to denoise the encoded image latents.
scheduler ([`SchedulerMixin`]): scheduler ([`SchedulerMixin`]):
A scheduler to be used in combination with `unet` to denoise the encoded image latens. Can be one of A scheduler to be used in combination with `unet` to denoise the encoded image latents. Can be one of
[`DDIMScheduler`], [`LMSDiscreteScheduler`], or [`PNDMScheduler`]. [`DDIMScheduler`], [`LMSDiscreteScheduler`], or [`PNDMScheduler`].
safety_checker ([`StableDiffusionSafetyChecker`]): safety_checker ([`StableDiffusionSafetyChecker`]):
Classification module that estimates whether generated images could be considered offsensive or harmful. Classification module that estimates whether generated images could be considered offensive or harmful.
Please, refer to the [model card](https://huggingface.co/CompVis/stable-diffusion-v1-4) for details. Please, refer to the [model card](https://huggingface.co/CompVis/stable-diffusion-v1-4) for details.
feature_extractor ([`CLIPFeatureExtractor`]): feature_extractor ([`CLIPFeatureExtractor`]):
Model that extracts features from generated images to be used as inputs for the `safety_checker`. Model that extracts features from generated images to be used as inputs for the `safety_checker`.
@ -436,7 +436,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
""" """
Ready this pipeline's models. Ready this pipeline's models.
i.e. pre-load them to the GPU if appropriate. i.e. preload them to the GPU if appropriate.
""" """
self._model_group.ready() self._model_group.ready()