[App] Fix AutoScaler trying to replicate multiple works in a single machine

src/lightning_app/CHANGELOG.md

@@ -43,6 +43,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed Registration for CloudComputes of Works in `L.app.structures` ([#15964](https://github.com/Lightning-AI/lightning/pull/15964))
 
 
+- Fixed `AutoScaler` raising an exception when non-default cloud compute is specified ([#15991](https://github.com/Lightning-AI/lightning/pull/15991))
+
+
 ## [1.8.4] - 2022-12-08
 
 ### Added

src/lightning_app/components/auto_scaler.py

@@ -449,8 +449,15 @@ def workers(self) -> List[LightningWork]:
 
     def create_work(self) -> LightningWork:
         """Replicates a LightningWork instance with args and kwargs provided via ``__init__``."""
-        # TODO: Remove `start_with_flow=False` for faster initialization on the cloud
-        self._work_kwargs.update(dict(start_with_flow=False))
+        cloud_compute = self._work_kwargs.get("cloud_compute", None)
+        self._work_kwargs.update(
+            dict(
+                # TODO: Remove `start_with_flow=False` for faster initialization on the cloud
+                start_with_flow=False,
+                # don't try to create a work inside a running machine
+                cloud_compute=cloud_compute.clone() if cloud_compute else None,
+            )
+        )
         return self._work_cls(*self._work_args, **self._work_kwargs)
 
     def add_work(self, work) -> str: