From 3028089e5e6554a7e20a07d87153228d39f91695 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?M=2E=20Tolga=20Cang=C3=B6z?=
 <46008593+standardAI@users.noreply.github.com>
Date: Thu, 21 Mar 2024 04:46:47 +0300
Subject: [PATCH] Fix typos (#7411)

* Fix typos

* Fix typo in SVD.md
---
 docs/source/en/using-diffusers/svd.md                       | 4 ++--
 examples/community/unclip_text_interpolation.py             | 2 +-
 .../pipelines/kandinsky/pipeline_kandinsky_combined.py      | 6 +++---
 .../pipelines/kandinsky/pipeline_kandinsky_prior.py         | 2 +-
 .../kandinsky2_2/pipeline_kandinsky2_2_combined.py          | 6 +++---
 .../pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py   | 2 +-
 .../kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py     | 2 +-
 src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py   | 2 +-
 .../stable_diffusion/pipeline_stable_diffusion_depth2img.py | 4 ++--
 .../pipeline_stable_diffusion_instruct_pix2pix.py           | 2 +-
 .../pipelines/stable_diffusion/pipeline_stable_unclip.py    | 2 +-
 .../pipeline_stable_diffusion_xl_instruct_pix2pix.py        | 2 +-
 src/diffusers/schedulers/scheduling_consistency_models.py   | 2 +-
 src/diffusers/schedulers/scheduling_deis_multistep.py       | 2 +-
 src/diffusers/schedulers/scheduling_dpmsolver_multistep.py  | 2 +-
 src/diffusers/schedulers/scheduling_dpmsolver_sde.py        | 2 +-
 src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py | 2 +-
 .../schedulers/scheduling_edm_dpmsolver_multistep.py        | 2 +-
 src/diffusers/schedulers/scheduling_edm_euler.py            | 2 +-
 .../schedulers/scheduling_euler_ancestral_discrete.py       | 2 +-
 src/diffusers/schedulers/scheduling_euler_discrete.py       | 2 +-
 src/diffusers/schedulers/scheduling_heun_discrete.py        | 2 +-
 .../schedulers/scheduling_k_dpm_2_ancestral_discrete.py     | 2 +-
 src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py     | 2 +-
 src/diffusers/schedulers/scheduling_lms_discrete.py         | 2 +-
 src/diffusers/schedulers/scheduling_unipc_multistep.py      | 2 +-
 26 files changed, 32 insertions(+), 32 deletions(-)

diff --git a/docs/source/en/using-diffusers/svd.md b/docs/source/en/using-diffusers/svd.md
index c9c51f55f0..cbb74d7b10 100644
--- a/docs/source/en/using-diffusers/svd.md
+++ b/docs/source/en/using-diffusers/svd.md
@@ -21,7 +21,7 @@ This guide will show you how to use SVD to generate short videos from images.
 Before you begin, make sure you have the following libraries installed:
 
 ```py
-!pip install -q -U diffusers transformers accelerate 
+!pip install -q -U diffusers transformers accelerate
 ```
 
 The are two variants of this model, [SVD](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid) and [SVD-XT](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt). The SVD checkpoint is trained to generate 14 frames and the SVD-XT checkpoint is further finetuned to generate 25 frames.
@@ -86,7 +86,7 @@ Video generation is very memory intensive because you're essentially generating
 + frames = pipe(image, decode_chunk_size=2, generator=generator, num_frames=25).frames[0]
 ```
 
-Using all these tricks togethere should lower the memory requirement to less than 8GB VRAM.
+Using all these tricks together should lower the memory requirement to less than 8GB VRAM.
 
 ## Micro-conditioning
 
diff --git a/examples/community/unclip_text_interpolation.py b/examples/community/unclip_text_interpolation.py
index a92ecc8b87..84f1c5a21f 100644
--- a/examples/community/unclip_text_interpolation.py
+++ b/examples/community/unclip_text_interpolation.py
@@ -48,7 +48,7 @@ class UnCLIPTextInterpolationPipeline(DiffusionPipeline):
             Tokenizer of class
             [CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer).
         prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         text_proj ([`UnCLIPTextProjModel`]):
             Utility class to prepare and combine the embeddings before they are passed to the decoder.
         decoder ([`UNet2DConditionModel`]):
diff --git a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py
index da5ff52ed1..6b1ed62f8a 100644
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py
@@ -129,7 +129,7 @@ class KandinskyCombinedPipeline(DiffusionPipeline):
         movq ([`VQModel`]):
             MoVQ Decoder to generate the image from the latents.
         prior_prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
@@ -346,7 +346,7 @@ class KandinskyImg2ImgCombinedPipeline(DiffusionPipeline):
         movq ([`VQModel`]):
             MoVQ Decoder to generate the image from the latents.
         prior_prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
@@ -586,7 +586,7 @@ class KandinskyInpaintCombinedPipeline(DiffusionPipeline):
         movq ([`VQModel`]):
             MoVQ Decoder to generate the image from the latents.
         prior_prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
diff --git a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
index 0d9f543496..7d9be4570f 100644
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
@@ -134,7 +134,7 @@ class KandinskyPriorPipeline(DiffusionPipeline):
 
     Args:
         prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         text_encoder ([`CLIPTextModelWithProjection`]):
diff --git a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py
index 65ba22cd6e..32f6b4415f 100644
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py
@@ -119,7 +119,7 @@ class KandinskyV22CombinedPipeline(DiffusionPipeline):
         movq ([`VQModel`]):
             MoVQ Decoder to generate the image from the latents.
         prior_prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
@@ -346,7 +346,7 @@ class KandinskyV22Img2ImgCombinedPipeline(DiffusionPipeline):
         movq ([`VQModel`]):
             MoVQ Decoder to generate the image from the latents.
         prior_prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
@@ -594,7 +594,7 @@ class KandinskyV22InpaintCombinedPipeline(DiffusionPipeline):
         movq ([`VQModel`]):
             MoVQ Decoder to generate the image from the latents.
         prior_prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
diff --git a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py
index 83427c68f2..1455e20ab5 100644
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py
@@ -90,7 +90,7 @@ class KandinskyV22PriorPipeline(DiffusionPipeline):
 
     Args:
         prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         text_encoder ([`CLIPTextModelWithProjection`]):
diff --git a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py
index bef70821c6..26442735e8 100644
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py
@@ -108,7 +108,7 @@ class KandinskyV22PriorEmb2EmbPipeline(DiffusionPipeline):
 
     Args:
         prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         image_encoder ([`CLIPVisionModelWithProjection`]):
             Frozen image-encoder.
         text_encoder ([`CLIPTextModelWithProjection`]):
diff --git a/src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py b/src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py
index 641ec56a15..02e32633ce 100644
--- a/src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py
+++ b/src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py
@@ -86,7 +86,7 @@ class ShapEImg2ImgPipeline(DiffusionPipeline):
 
     Args:
         prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         image_encoder ([`~transformers.CLIPVisionModel`]):
             Frozen image-encoder.
         image_processor ([`~transformers.CLIPImageProcessor`]):
diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py
index c410acbeda..72b438cd33 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py
@@ -700,8 +700,8 @@ class StableDiffusionDepth2ImgPipeline(DiffusionPipeline, TextualInversionLoader
         >>> url = "http://images.cocodataset.org/val2017/000000039769.jpg"
         >>> init_image = Image.open(requests.get(url, stream=True).raw)
         >>> prompt = "two tigers"
-        >>> n_propmt = "bad, deformed, ugly, bad anotomy"
-        >>> image = pipe(prompt=prompt, image=init_image, negative_prompt=n_propmt, strength=0.7).images[0]
+        >>> n_prompt = "bad, deformed, ugly, bad anotomy"
+        >>> image = pipe(prompt=prompt, image=init_image, negative_prompt=n_prompt, strength=0.7).images[0]
         ```
 
         Returns:
diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py
index cbb6ed4fa1..01c2eaea06 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py
@@ -194,7 +194,7 @@ class StableDiffusionInstructPix2PixPipeline(
                 A higher guidance scale value encourages the model to generate images closely linked to the text
                 `prompt` at the expense of lower image quality. Guidance scale is enabled when `guidance_scale > 1`.
             image_guidance_scale (`float`, *optional*, defaults to 1.5):
-                Push the generated image towards the inital `image`. Image guidance scale is enabled by setting
+                Push the generated image towards the initial `image`. Image guidance scale is enabled by setting
                 `image_guidance_scale > 1`. Higher image guidance scale encourages generated images that are closely
                 linked to the source `image`, usually at the expense of lower image quality. This pipeline requires a
                 value of at least `1`.
diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py
index c62e0f4ec5..32b43a8e7f 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py
@@ -76,7 +76,7 @@ class StableUnCLIPPipeline(DiffusionPipeline, StableDiffusionMixin, TextualInver
         prior_text_encoder ([`CLIPTextModelWithProjection`]):
             Frozen [`CLIPTextModelWithProjection`] text-encoder.
         prior ([`PriorTransformer`]):
-            The canonincal unCLIP prior to approximate the image embedding from the text embedding.
+            The canonical unCLIP prior to approximate the image embedding from the text embedding.
         prior_scheduler ([`KarrasDiffusionSchedulers`]):
             Scheduler used in the prior denoising process.
         image_normalizer ([`StableUnCLIPImageNormalizer`]):
diff --git a/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_instruct_pix2pix.py b/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_instruct_pix2pix.py
index 51e413d4b5..026854d5c4 100644
--- a/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_instruct_pix2pix.py
+++ b/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_instruct_pix2pix.py
@@ -659,7 +659,7 @@ class StableDiffusionXLInstructPix2PixPipeline(
                 1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
                 usually at the expense of lower image quality.
             image_guidance_scale (`float`, *optional*, defaults to 1.5):
-                Image guidance scale is to push the generated image towards the inital image `image`. Image guidance
+                Image guidance scale is to push the generated image towards the initial image `image`. Image guidance
                 scale is enabled by setting `image_guidance_scale > 1`. Higher image guidance scale encourages to
                 generate images that are closely linked to the source image `image`, usually at the expense of lower
                 image quality. This pipeline requires a value of at least `1`.
diff --git a/src/diffusers/schedulers/scheduling_consistency_models.py b/src/diffusers/schedulers/scheduling_consistency_models.py
index 316d657e8d..3abf52f0af 100644
--- a/src/diffusers/schedulers/scheduling_consistency_models.py
+++ b/src/diffusers/schedulers/scheduling_consistency_models.py
@@ -438,7 +438,7 @@ class CMStochasticIterativeScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_deis_multistep.py b/src/diffusers/schedulers/scheduling_deis_multistep.py
index 27213c0af1..f25fbf029b 100644
--- a/src/diffusers/schedulers/scheduling_deis_multistep.py
+++ b/src/diffusers/schedulers/scheduling_deis_multistep.py
@@ -775,7 +775,7 @@ class DEISMultistepScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py b/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py
index 1c8ec1090b..5b452bddba 100644
--- a/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py
+++ b/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py
@@ -1018,7 +1018,7 @@ class DPMSolverMultistepScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_dpmsolver_sde.py b/src/diffusers/schedulers/scheduling_dpmsolver_sde.py
index 22aeba5750..54455b0f2e 100644
--- a/src/diffusers/schedulers/scheduling_dpmsolver_sde.py
+++ b/src/diffusers/schedulers/scheduling_dpmsolver_sde.py
@@ -547,7 +547,7 @@ class DPMSolverSDEScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py b/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py
index 3113d61a94..215d94a786 100644
--- a/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py
+++ b/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py
@@ -968,7 +968,7 @@ class DPMSolverSinglestepScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_edm_dpmsolver_multistep.py b/src/diffusers/schedulers/scheduling_edm_dpmsolver_multistep.py
index f490da07ab..9422d57cff 100644
--- a/src/diffusers/schedulers/scheduling_edm_dpmsolver_multistep.py
+++ b/src/diffusers/schedulers/scheduling_edm_dpmsolver_multistep.py
@@ -673,7 +673,7 @@ class EDMDPMSolverMultistepScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_edm_euler.py b/src/diffusers/schedulers/scheduling_edm_euler.py
index 7f0ef90294..bad6aeff8b 100644
--- a/src/diffusers/schedulers/scheduling_edm_euler.py
+++ b/src/diffusers/schedulers/scheduling_edm_euler.py
@@ -371,7 +371,7 @@ class EDMEulerScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py b/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py
index 81009b4fe7..6631ef63a8 100644
--- a/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py
+++ b/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py
@@ -471,7 +471,7 @@ class EulerAncestralDiscreteScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_euler_discrete.py b/src/diffusers/schedulers/scheduling_euler_discrete.py
index 62d0caa4e2..1e3252c0bd 100644
--- a/src/diffusers/schedulers/scheduling_euler_discrete.py
+++ b/src/diffusers/schedulers/scheduling_euler_discrete.py
@@ -566,7 +566,7 @@ class EulerDiscreteScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_heun_discrete.py b/src/diffusers/schedulers/scheduling_heun_discrete.py
index 14ab01da74..fb8f28f73d 100644
--- a/src/diffusers/schedulers/scheduling_heun_discrete.py
+++ b/src/diffusers/schedulers/scheduling_heun_discrete.py
@@ -472,7 +472,7 @@ class HeunDiscreteScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py b/src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py
index af50fcf54f..fd2b94759f 100644
--- a/src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py
+++ b/src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py
@@ -498,7 +498,7 @@ class KDPM2AncestralDiscreteScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py b/src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py
index 888ba311a9..57a1af6b79 100644
--- a/src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py
+++ b/src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py
@@ -473,7 +473,7 @@ class KDPM2DiscreteScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_lms_discrete.py b/src/diffusers/schedulers/scheduling_lms_discrete.py
index c8abade3e5..61a91783c2 100644
--- a/src/diffusers/schedulers/scheduling_lms_discrete.py
+++ b/src/diffusers/schedulers/scheduling_lms_discrete.py
@@ -465,7 +465,7 @@ class LMSDiscreteScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()
diff --git a/src/diffusers/schedulers/scheduling_unipc_multistep.py b/src/diffusers/schedulers/scheduling_unipc_multistep.py
index a844bcaec3..3c0955ce4e 100644
--- a/src/diffusers/schedulers/scheduling_unipc_multistep.py
+++ b/src/diffusers/schedulers/scheduling_unipc_multistep.py
@@ -869,7 +869,7 @@ class UniPCMultistepScheduler(SchedulerMixin, ConfigMixin):
             # add_noise is called after first denoising step (for inpainting)
             step_indices = [self.step_index] * timesteps.shape[0]
         else:
-            # add noise is called bevore first denoising step to create inital latent(img2img)
+            # add noise is called before first denoising step to create initial latent(img2img)
             step_indices = [self.begin_index] * timesteps.shape[0]
 
         sigma = sigmas[step_indices].flatten()