add: pushtohubmixin to pipelines and schedulers docs overview. (huggingface#4607)

* add: pushtohubmixin to pipelines and schedulers docs overview.

* Apply suggestions from code review

Co-authored-by: Steven Liu <[email protected]>

---------

Co-authored-by: Steven Liu <[email protected]>

Author: sayakpaul

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

@@ -34,3 +34,7 @@ Pipelines do not offer any training functionality. You'll notice PyTorch's autog
 ## FlaxDiffusionPipeline
 
 [[autodoc]] pipelines.pipeline_flax_utils.FlaxDiffusionPipeline
+
+## PushToHubMixin
+
+[[autodoc]] utils.PushToHubMixin

docs/source/en/api/schedulers/overview.md

@@ -57,4 +57,8 @@ All schedulers are built from the base [`SchedulerMixin`] class which implements
 
 [`KarrasDiffusionSchedulers`] are a broad generalization of schedulers in 🤗 Diffusers. The schedulers in this class are distinguished at a high level by their noise sampling strategy, the type of network and scaling, the training strategy, and how the loss is weighed.
 
-The different schedulers in this class, depending on the ordinary differential equations (ODE) solver type, fall into the above taxonomy and provide a good abstraction for the design of the main schedulers implemented in 🤗 Diffusers. The schedulers in this class are given [here](https://github.com/huggingface/diffusers/blob/a69754bb879ed55b9b6dc9dd0b3cf4fa4124c765/src/diffusers/schedulers/scheduling_utils.py#L32).
+The different schedulers in this class, depending on the ordinary differential equations (ODE) solver type, fall into the above taxonomy and provide a good abstraction for the design of the main schedulers implemented in 🤗 Diffusers. The schedulers in this class are given [here](https://github.com/huggingface/diffusers/blob/a69754bb879ed55b9b6dc9dd0b3cf4fa4124c765/src/diffusers/schedulers/scheduling_utils.py#L32).
+
+## PushToHubMixin
+
+[[autodoc]] utils.PushToHubMixin

src/diffusers/utils/hub_utils.py

@@ -372,7 +372,7 @@ def _get_model_file(
 
 class PushToHubMixin:
     """
-    A Mixin containing the functionality to push a model/scheduler to the Hugging Face Hub.
+    A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub.
     """
 
     def _upload_folder(
@@ -440,7 +440,7 @@ def push_to_hub(
         # Push the `unet` to your namespace with the name "my-finetuned-unet".
         unet.push_to_hub("my-finetuned-unet")
 
-        # Push the {object} to an organization with the name "my-finetuned-unet".
+        # Push the `unet` to an organization with the name "my-finetuned-unet".
         unet.push_to_hub("your-org/my-finetuned-unet")
         ```
         """