Fix procecss process (#6591)

* Fix words

* Fix

---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>

src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py

@@ -321,7 +321,7 @@ class StableUnCLIPImg2ImgPipeline(DiffusionPipeline, TextualInversionLoaderMixin
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -403,7 +403,7 @@ class StableUnCLIPImg2ImgPipeline(DiffusionPipeline, TextualInversionLoaderMixin
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_attend_and_excite/pipeline_stable_diffusion_attend_and_excite.py

@@ -356,7 +356,7 @@ class StableDiffusionAttendAndExcitePipeline(DiffusionPipeline, TextualInversion
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -438,7 +438,7 @@ class StableDiffusionAttendAndExcitePipeline(DiffusionPipeline, TextualInversion
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_diffedit/pipeline_stable_diffusion_diffedit.py

@@ -498,7 +498,7 @@ class StableDiffusionDiffEditPipeline(DiffusionPipeline, TextualInversionLoaderM
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -580,7 +580,7 @@ class StableDiffusionDiffEditPipeline(DiffusionPipeline, TextualInversionLoaderM
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_gligen/pipeline_stable_diffusion_gligen.py

@@ -295,7 +295,7 @@ class StableDiffusionGLIGENPipeline(DiffusionPipeline):
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -377,7 +377,7 @@ class StableDiffusionGLIGENPipeline(DiffusionPipeline):
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_gligen/pipeline_stable_diffusion_gligen_text_image.py

@@ -320,7 +320,7 @@ class StableDiffusionGLIGENTextImagePipeline(DiffusionPipeline):
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -402,7 +402,7 @@ class StableDiffusionGLIGENTextImagePipeline(DiffusionPipeline):
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_k_diffusion.py

@@ -238,7 +238,7 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline, TextualInversionLoade
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -320,7 +320,7 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline, TextualInversionLoade
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py

@@ -325,7 +325,7 @@ class StableDiffusionXLKDiffusionPipeline(
             prompt_2 = prompt_2 or prompt
             prompt_2 = [prompt_2] if isinstance(prompt_2, str) else prompt_2
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):

src/diffusers/pipelines/stable_diffusion_ldm3d/pipeline_stable_diffusion_ldm3d.py

@@ -292,7 +292,7 @@ class StableDiffusionLDM3DPipeline(
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -374,7 +374,7 @@ class StableDiffusionLDM3DPipeline(
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_panorama/pipeline_stable_diffusion_panorama.py

@@ -250,7 +250,7 @@ class StableDiffusionPanoramaPipeline(DiffusionPipeline, TextualInversionLoaderM
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -332,7 +332,7 @@ class StableDiffusionPanoramaPipeline(DiffusionPipeline, TextualInversionLoaderM
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_sag/pipeline_stable_diffusion_sag.py

@@ -271,7 +271,7 @@ class StableDiffusionSAGPipeline(DiffusionPipeline, TextualInversionLoaderMixin,
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -353,7 +353,7 @@ class StableDiffusionSAGPipeline(DiffusionPipeline, TextualInversionLoaderMixin,
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py

@@ -385,7 +385,7 @@ class StableDiffusionXLPipeline(
             prompt_2 = prompt_2 or prompt
             prompt_2 = [prompt_2] if isinstance(prompt_2, str) else prompt_2
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py

@@ -407,7 +407,7 @@ class StableDiffusionXLImg2ImgPipeline(
             prompt_2 = prompt_2 or prompt
             prompt_2 = [prompt_2] if isinstance(prompt_2, str) else prompt_2
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_inpaint.py

@@ -618,7 +618,7 @@ class StableDiffusionXLInpaintPipeline(
             prompt_2 = prompt_2 or prompt
             prompt_2 = [prompt_2] if isinstance(prompt_2, str) else prompt_2
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_instruct_pix2pix.py

@@ -326,7 +326,7 @@ class StableDiffusionXLInstructPix2PixPipeline(
 
         if prompt_embeds is None:
             prompt_2 = prompt_2 or prompt
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):

src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py

@@ -358,7 +358,7 @@ class StableDiffusionAdapterPipeline(DiffusionPipeline):
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -440,7 +440,7 @@ class StableDiffusionAdapterPipeline(DiffusionPipeline):
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_xl_adapter.py

@@ -399,7 +399,7 @@ class StableDiffusionXLAdapterPipeline(
             prompt_2 = prompt_2 or prompt
             prompt_2 = [prompt_2] if isinstance(prompt_2, str) else prompt_2
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth.py

@@ -256,7 +256,7 @@ class TextToVideoSDPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lora
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -338,7 +338,7 @@ class TextToVideoSDPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lora
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py

@@ -332,7 +332,7 @@ class VideoToVideoSDPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lor
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -414,7 +414,7 @@ class VideoToVideoSDPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lor
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py

@@ -838,7 +838,7 @@ class TextToVideoZeroPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lo
             batch_size = prompt_embeds.shape[0]
 
         if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
 
@@ -920,7 +920,7 @@ class TextToVideoZeroPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lo
             else:
                 uncond_tokens = negative_prompt
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             if isinstance(self, TextualInversionLoaderMixin):
                 uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
 

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py

@@ -685,7 +685,7 @@ class TextToVideoZeroSDXLPipeline(
             prompt_2 = prompt_2 or prompt
             prompt_2 = [prompt_2] if isinstance(prompt_2, str) else prompt_2
 
-            # textual inversion: procecss multi-vector tokens if necessary
+            # textual inversion: process multi-vector tokens if necessary
             prompt_embeds_list = []
             prompts = [prompt, prompt_2]
             for prompt, tokenizer, text_encoder in zip(prompts, tokenizers, text_encoders):