From 081397737b2fc4cc1444e9c142a44c9e094867c2 Mon Sep 17 00:00:00 2001 From: Kevin Turner <83819+keturn@users.noreply.github.com> Date: Thu, 9 Mar 2023 17:33:06 -0800 Subject: [PATCH] typo: docstring spelling fixes looks like they've already been corrected in the upstream copy --- invokeai/backend/stable_diffusion/diffusers_pipeline.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py index cb842356e4..8e73cc0bb2 100644 --- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py +++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py @@ -290,10 +290,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): [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. 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`]. 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. feature_extractor ([`CLIPFeatureExtractor`]): 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. - i.e. pre-load them to the GPU if appropriate. + i.e. preload them to the GPU if appropriate. """ self._model_group.ready()