Super tiny update (huggingface#39727)

super tiny update

Author: zucchini-nlp

src/transformers/models/qwen2_5_omni/processing_qwen2_5_omni.py

@@ -172,15 +172,15 @@ def __call__(
             audio_lengths = iter([])
 
         if images is not None:
-            images_inputs = self.image_processor(images=images, videos=None, **output_kwargs["images_kwargs"])
+            images_inputs = self.image_processor(images=images, **output_kwargs["images_kwargs"])
             image_grid_thw = iter(images_inputs["image_grid_thw"])
         else:
             images_inputs = {}
             image_grid_thw = iter([])
 
         if videos is not None:
             videos = make_batched_videos(videos)
-            videos_inputs = self.video_processor(images=None, videos=videos, **output_kwargs["videos_kwargs"])
+            videos_inputs = self.video_processor(videos=videos, **output_kwargs["videos_kwargs"])
             fps = [fps] * len(videos)
             videos_inputs["video_second_per_grid"] = [
                 self.video_processor.temporal_patch_size / fps[i] for i in range(len(fps))