From cd502b25cf0debac6f98d27a6638ef95208d1ea2 Mon Sep 17 00:00:00 2001 From: "Duong A. Nguyen" <38061659+duongna21@users.noreply.github.com> Date: Mon, 7 Nov 2022 19:34:45 +0700 Subject: [PATCH] Fix typo latens -> latents (#1171) fix typo --- examples/community/composable_stable_diffusion.py | 2 +- examples/community/imagic_stable_diffusion.py | 2 +- examples/community/interpolate_stable_diffusion.py | 2 +- examples/community/lpw_stable_diffusion.py | 2 +- examples/community/seed_resize_stable_diffusion.py | 2 +- examples/community/stable_diffusion_mega.py | 2 +- examples/community/wildcard_stable_diffusion.py | 2 +- .../pipelines/latent_diffusion/pipeline_latent_diffusion.py | 2 +- .../latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py | 2 +- .../pipelines/stable_diffusion/pipeline_cycle_diffusion.py | 2 +- .../stable_diffusion/pipeline_flax_stable_diffusion.py | 2 +- .../stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py | 2 +- .../stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py | 2 +- .../pipelines/stable_diffusion/pipeline_stable_diffusion.py | 2 +- .../stable_diffusion/pipeline_stable_diffusion_img2img.py | 2 +- .../stable_diffusion/pipeline_stable_diffusion_inpaint.py | 2 +- .../pipeline_stable_diffusion_inpaint_legacy.py | 2 +- 17 files changed, 17 insertions(+), 17 deletions(-) diff --git a/examples/community/composable_stable_diffusion.py b/examples/community/composable_stable_diffusion.py index 10d34d255a..eb207e1bdd 100644 --- a/examples/community/composable_stable_diffusion.py +++ b/examples/community/composable_stable_diffusion.py @@ -32,7 +32,7 @@ class ComposableStableDiffusionPipeline(DiffusionPipeline): [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. diff --git a/examples/community/imagic_stable_diffusion.py b/examples/community/imagic_stable_diffusion.py index 92aa677b46..0c95fb4358 100644 --- a/examples/community/imagic_stable_diffusion.py +++ b/examples/community/imagic_stable_diffusion.py @@ -54,7 +54,7 @@ class ImagicStableDiffusionPipeline(DiffusionPipeline): [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. diff --git a/examples/community/interpolate_stable_diffusion.py b/examples/community/interpolate_stable_diffusion.py index de1c6f687a..761aaeca69 100644 --- a/examples/community/interpolate_stable_diffusion.py +++ b/examples/community/interpolate_stable_diffusion.py @@ -65,7 +65,7 @@ class StableDiffusionWalkPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/examples/community/lpw_stable_diffusion.py b/examples/community/lpw_stable_diffusion.py index 39a266dec9..e4ee7bf3c6 100644 --- a/examples/community/lpw_stable_diffusion.py +++ b/examples/community/lpw_stable_diffusion.py @@ -398,7 +398,7 @@ class StableDiffusionLongPromptWeightingPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/examples/community/seed_resize_stable_diffusion.py b/examples/community/seed_resize_stable_diffusion.py index f912663a68..92cd1c04f9 100644 --- a/examples/community/seed_resize_stable_diffusion.py +++ b/examples/community/seed_resize_stable_diffusion.py @@ -37,7 +37,7 @@ class SeedResizeStableDiffusionPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/examples/community/stable_diffusion_mega.py b/examples/community/stable_diffusion_mega.py index 7239519415..67112b282b 100644 --- a/examples/community/stable_diffusion_mega.py +++ b/examples/community/stable_diffusion_mega.py @@ -42,7 +42,7 @@ class StableDiffusionMegaPipeline(DiffusionPipeline): [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 ([`StableDiffusionMegaSafetyChecker`]): Classification module that estimates whether generated images could be considered offensive or harmful. diff --git a/examples/community/wildcard_stable_diffusion.py b/examples/community/wildcard_stable_diffusion.py index b0f6375d50..9ad0d8e9fa 100644 --- a/examples/community/wildcard_stable_diffusion.py +++ b/examples/community/wildcard_stable_diffusion.py @@ -99,7 +99,7 @@ class WildcardStableDiffusionPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py b/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py index d894886284..cfa3994913 100644 --- a/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py +++ b/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py @@ -32,7 +32,7 @@ class LDMTextToImagePipeline(DiffusionPipeline): [BertTokenizer](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertTokenizer). 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`]. """ diff --git a/src/diffusers/pipelines/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py b/src/diffusers/pipelines/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py index a7ffb4adc9..c8da6f193e 100644 --- a/src/diffusers/pipelines/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py +++ b/src/diffusers/pipelines/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py @@ -18,7 +18,7 @@ class LDMPipeline(DiffusionPipeline): Vector-quantized (VQ) Model to encode and decode images to and from latent representations. unet ([`UNet2DModel`]): U-Net architecture to denoise the encoded image latents. scheduler ([`SchedulerMixin`]): - [`DDIMScheduler`] is to be used in combination with `unet` to denoise the encoded image latens. + [`DDIMScheduler`] is to be used in combination with `unet` to denoise the encoded image latents. """ def __init__(self, vqvae: VQModel, unet: UNet2DModel, scheduler: DDIMScheduler): diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py b/src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py index f38e57983f..3d2ec7d55b 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py @@ -107,7 +107,7 @@ class CycleDiffusionPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py b/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py index 5a910f8453..73ec322c66 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py @@ -47,7 +47,7 @@ class FlaxStableDiffusionPipeline(FlaxDiffusionPipeline): [CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer). unet ([`FlaxUNet2DConditionModel`]): 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 [`FlaxDDIMScheduler`], [`FlaxLMSDiscreteScheduler`], [`FlaxPNDMScheduler`], or [`FlaxDPMSolverMultistepScheduler`]. safety_checker ([`FlaxStableDiffusionSafetyChecker`]): diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py b/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py index 5e6b2e6f2f..04ecdbecc6 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py @@ -46,7 +46,7 @@ class OnnxStableDiffusionImg2ImgPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py b/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py index 2ce9831a16..517242921d 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py @@ -59,7 +59,7 @@ class OnnxStableDiffusionInpaintPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py index 094841f977..9c7edabf69 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py @@ -44,7 +44,7 @@ class StableDiffusionPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py index 08b14b36be..f6f38ab1d3 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py @@ -55,7 +55,7 @@ class StableDiffusionImg2ImgPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py index 34e8231c63..a7af1c9d33 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py @@ -56,7 +56,7 @@ class StableDiffusionInpaintPipeline(DiffusionPipeline): [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 offensive or harmful. diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py index 5c06b74bfa..91dcefc91d 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py @@ -62,7 +62,7 @@ class StableDiffusionInpaintPipelineLegacy(DiffusionPipeline): [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 offensive or harmful.