Repository: huggingface/diffusers

Issue:
Issues in the docstrings for Kandinsky pipeline(s)
### Describe the bug

I noticed a few issues with the docstrings in Kandinsky pipelines:

1. Wrong model name in the [pipeline_kandinsky.py example](https://github.com/huggingface/diffusers/blob/8669e8313dfedd5da1fd84e8abab92eda82623c0/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py#LL44C48-L44C48):
```py
pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/Kandinsky-prior")
```
should be
```py
pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/kandinsky-2-1-prior")
```

2. The `KandinskyPriorPipelineOutput`'s members were renamed in 32ea2142c056fae722b0cabaa799697a861cd039 but the relevant docstrings throughout the Kandinsky pipelines were not. For example, the [`src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py`](https://github.com/huggingface/diffusers/blob/8669e8313dfedd5da1fd84e8abab92eda82623c0/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py#L49) has this docstring:

```py
pipe_prior = ...
out = pipe_prior(prompt)
image_emb = out.images
zero_image_emb = out.zero_embeds
```

In addition to using the correct member names, I would suggest renaming the variables:
```py
pipe_prior = ...
out = pipe_prior(prompt)
image_emb = out.image_embeds
negative_image_embeds = out.negative_image_embeds
```

### Reproduction

```py
from diffusers import KandinskyPipeline, KandinskyPriorPipeline
import torch

pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/Kandinsky-prior") # wrong model id
pipe_prior.to("cuda")

prompt = "red cat, 4k photo"
out = pipe_prior(prompt)
image_emb = out.images # wrong name
zero_image_emb = out.zero_embeds # wrong name
```


### Logs

_No response_

### System Info

latest commit: 3c0579b1b70aeb3873f0002b8271eb69cd4bcced



Discussion:
If the proposed solution seems OK I would be happy to make a PR.
@freespirit oh thanks!! a PR would be great 🤗🤗🤗🤗😇😇😇😇

Resolving patch:
diff --git a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py
@@ -41,13 +41,13 @@
         >>> from diffusers import KandinskyPipeline, KandinskyPriorPipeline
         >>> import torch
 
-        >>> pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/Kandinsky-prior")
+        >>> pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/Kandinsky-2-1-prior")
         >>> pipe_prior.to("cuda")
 
         >>> prompt = "red cat, 4k photo"
         >>> out = pipe_prior(prompt)
-        >>> image_emb = out.images
-        >>> zero_image_emb = out.zero_embeds
+        >>> image_emb = out.image_embeds
+        >>> negative_image_emb = out.negative_image_embeds
 
         >>> pipe = KandinskyPipeline.from_pretrained("kandinsky-community/kandinsky-2-1")
         >>> pipe.to("cuda")
@@ -55,7 +55,7 @@
         >>> image = pipe(
         ...     prompt,
         ...     image_embeds=image_emb,
-        ...     negative_image_embeds=zero_image_emb,
+        ...     negative_image_embeds=negative_image_emb,
         ...     height=768,
         ...     width=768,
         ...     num_inference_steps=100,
diff --git a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
@@ -45,8 +45,8 @@
 
         >>> prompt = "red cat, 4k photo"
         >>> out = pipe_prior(prompt)
-        >>> image_emb = out.images
-        >>> zero_image_emb = out.zero_embeds
+        >>> image_emb = out.image_embeds
+        >>> negative_image_emb = out.negative_image_embeds
 
         >>> pipe = KandinskyPipeline.from_pretrained("kandinsky-community/kandinsky-2-1")
         >>> pipe.to("cuda")
@@ -54,7 +54,7 @@
         >>> image = pipe(
         ...     prompt,
         ...     image_embeds=image_emb,
-        ...     negative_image_embeds=zero_image_emb,
+        ...     negative_image_embeds=negative_image_emb,
         ...     height=768,
         ...     width=768,
         ...     num_inference_steps=100,


Test patch: