diff --git a/src/transformers/models/llava/image_processing_llava.py b/src/transformers/models/llava/image_processing_llava.py
index ad469984ee606e..5af59911138739 100644
--- a/src/transformers/models/llava/image_processing_llava.py
+++ b/src/transformers/models/llava/image_processing_llava.py
@@ -183,13 +183,13 @@ def pad_to_square(
         input_data_format: Optional[Union[str, ChannelDimension]] = None,
     ) -> np.array:
         """
-        Pads an image to make it square.
+        Pads an image to a square.
 
         Args:
             image (`np.ndarray`):
                 The image to pad.
             background_color (`int` or `Tuple[int, int, int]`, *optional*, defaults to 0):
-
+                The color to use for the padding. Can be an integer or a tuple of integers representing the RGB values.
             input_data_format (`str` or `ChannelDimension`, *optional*):
                 The channel dimension format for the input image. Can be one of:
                     - `"channels_first"` or `ChannelDimension.FIRST`: image in (num_channels, height, width) format.
diff --git a/src/transformers/models/llava/processing_llava.py b/src/transformers/models/llava/processing_llava.py
index 99244d993b71cb..cbf4739fac9aba 100644
--- a/src/transformers/models/llava/processing_llava.py
+++ b/src/transformers/models/llava/processing_llava.py
@@ -30,13 +30,13 @@
 
 class LlavaProcessor(ProcessorMixin):
     r"""
-    Constructs a Llava processor which wraps a Llava image processor and a Llava tokenizer into a single processor.
+    Constructs a LLaVa processor which wraps a LLaVa image processor and a LLaMa tokenizer into a single processor.
 
-    [`LlavaProcessor`] offers all the functionalities of [`CLIPImageProcessor`] and [`LlamaTokenizerFast`]. See the
+    [`LlavaProcessor`] offers all the functionalities of [`LlavaImageProcessor`] and [`LlamaTokenizerFast`]. See the
     [`~LlavaProcessor.__call__`] and [`~LlavaProcessor.decode`] for more information.
 
     Args:
-        image_processor ([`CLIPImageProcessor`], *optional*):
+        image_processor ([`LlavaImageProcessor`], *optional*):
             The image processor is a required input.
         tokenizer ([`LlamaTokenizerFast`], *optional*):
             The tokenizer is a required input.