Passing cross_attention_kwargs to StableDiffusionInstructPix2PixPipeline (#7961)

* Update pipeline_stable_diffusion_instruct_pix2pix.py

Add `cross_attention_kwargs` to `__call__` method of `StableDiffusionInstructPix2PixPipeline`, which are passed to UNet.

* Update documentation for pipeline_stable_diffusion_instruct_pix2pix.py

* Update docstring

* Update docstring

* Fix typing import

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 import inspect
-from typing import Callable, Dict, List, Optional, Union
+from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
 import PIL.Image
@@ -180,6 +180,7 @@ class StableDiffusionInstructPix2PixPipeline(
             Union[Callable[[int, int, Dict], None], PipelineCallback, MultiPipelineCallbacks]
         ] = None,
         callback_on_step_end_tensor_inputs: List[str] = ["latents"],
+        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
         **kwargs,
     ):
         r"""
@@ -239,6 +240,9 @@ class StableDiffusionInstructPix2PixPipeline(
                 The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
                 will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
                 `._callback_tensor_inputs` attribute of your pipeline class.
+            cross_attention_kwargs (`dict`, *optional*):
+                A kwargs dictionary that if specified is passed along to the [`AttentionProcessor`] as defined in
+                [`self.processor`](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
 
         Examples:
 
@@ -415,6 +419,7 @@ class StableDiffusionInstructPix2PixPipeline(
                     t,
                     encoder_hidden_states=prompt_embeds,
                     added_cond_kwargs=added_cond_kwargs,
+                    cross_attention_kwargs=cross_attention_kwargs,
                     return_dict=False,
                 )[0]