Refactor target_fps handling in TorchrunInferenceWorker (#580)

lightx2v/server/services/inference/worker.py

@@ -61,10 +61,13 @@ class TorchrunInferenceWorker:
             task_data["return_result_tensor"] = False
             task_data["negative_prompt"] = task_data.get("negative_prompt", "")
 
-            if task_data.get("target_fps") is not None and "video_frame_interpolation" in self.runner.config:
-                task_data["video_frame_interpolation"] = dict(self.runner.config["video_frame_interpolation"])
-                task_data["video_frame_interpolation"]["target_fps"] = task_data["target_fps"]
-                del task_data["target_fps"]
+            target_fps = task_data.pop("target_fps", None)
+            if target_fps is not None:
+                vfi_cfg = self.runner.config.get("video_frame_interpolation")
+                if vfi_cfg:
+                    task_data["video_frame_interpolation"] = {**vfi_cfg, "target_fps": target_fps}
+                else:
+                    logger.warning(f"Target FPS {target_fps} is set, but video frame interpolation is not configured")
 
             task_data = EasyDict(task_data)
             input_info = set_input_info(task_data)