Fix docs typo in PipelineForImageToImage name (#4800)

docs/source/en/api/pipelines/auto_pipeline.md

@@ -21,7 +21,7 @@ For example, to perform Image-to-Image with the SD1.5 checkpoint, you can do
 ```python
 from diffusers import PipelineForImageToImage
 
-pipe_i2i = PipelineForImageoImage.from_pretrained("runwayml/stable-diffusion-v1-5")
+pipe_i2i = PipelineForImageToImage.from_pretrained("runwayml/stable-diffusion-v1-5")
 ```
 
 It will also help you switch between tasks seamlessly using the same checkpoint without reallocating additional memory. For example, to re-use the Image-to-Image pipeline we just created for inpainting, you can do 

setup.py

@@ -233,7 +233,7 @@ install_requires = [
 
 setup(
     name="diffusers",
-    version="0.19.2",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="0.19.3",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     description="Diffusers",
     long_description=open("README.md", "r", encoding="utf-8").read(),
     long_description_content_type="text/markdown",

src/diffusers/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.19.2"
+__version__ = "0.19.3"
 
 from .configuration_utils import ConfigMixin
 from .utils import (

src/diffusers/pipelines/stable_diffusion_xl/__init__.py

@@ -30,7 +30,7 @@ try:
     if not (is_transformers_available() and is_torch_available()):
         raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
-    from ...utils.dummy_torch_and_transformers_and_objects import *  # noqa F403
+    from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
 else:
     from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
     from .pipeline_stable_diffusion_xl_img2img import StableDiffusionXLImg2ImgPipeline