Remove *pooled_* mentions from Chroma inpaint (#13026)

Remove `*pooled_*` mentions from Chroma as it has just one TE.

Author: hameerabbasi

src/diffusers/pipelines/chroma/pipeline_chroma_inpainting.py

@@ -482,8 +482,6 @@ def check_inputs(
         negative_prompt=None,
         prompt_embeds=None,
         negative_prompt_embeds=None,
-        pooled_prompt_embeds=None,
-        negative_pooled_prompt_embeds=None,
         callback_on_step_end_tensor_inputs=None,
         padding_mask_crop=None,
         max_sequence_length=None,
@@ -531,15 +529,6 @@ def check_inputs(
                     f" {negative_prompt_embeds.shape}."
                 )
 
-        if prompt_embeds is not None and pooled_prompt_embeds is None:
-            raise ValueError(
-                "If `prompt_embeds` are provided, `pooled_prompt_embeds` also have to be passed. Make sure to generate `pooled_prompt_embeds` from the same text encoder that was used to generate `prompt_embeds`."
-            )
-        if negative_prompt_embeds is not None and negative_pooled_prompt_embeds is None:
-            raise ValueError(
-                "If `negative_prompt_embeds` are provided, `negative_pooled_prompt_embeds` also have to be passed. Make sure to generate `negative_pooled_prompt_embeds` from the same text encoder that was used to generate `negative_prompt_embeds`."
-            )
-
         if prompt_embeds is not None and prompt_attention_mask is None:
             raise ValueError("Cannot provide `prompt_embeds` without also providing `prompt_attention_mask")
 
@@ -793,13 +782,11 @@ def __call__(
         generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
         latents: Optional[torch.FloatTensor] = None,
         prompt_embeds: Optional[torch.FloatTensor] = None,
-        pooled_prompt_embeds: Optional[torch.FloatTensor] = None,
         ip_adapter_image: Optional[PipelineImageInput] = None,
         ip_adapter_image_embeds: Optional[List[torch.Tensor]] = None,
         negative_ip_adapter_image: Optional[PipelineImageInput] = None,
         negative_ip_adapter_image_embeds: Optional[List[torch.Tensor]] = None,
         negative_prompt_embeds: Optional[torch.FloatTensor] = None,
-        negative_pooled_prompt_embeds: Optional[torch.FloatTensor] = None,
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         joint_attention_kwargs: Optional[Dict[str, Any]] = None,