diff --git a/fme/downscaling/data/config.py b/fme/downscaling/data/config.py
index 4ce1f928b..697196b7b 100644
--- a/fme/downscaling/data/config.py
+++ b/fme/downscaling/data/config.py
@@ -182,6 +182,7 @@ def build_topography(
         coarse_coords: LatLonCoordinates,
         requires_topography: bool,
         static_inputs_from_checkpoint: StaticInputs | None = None,
+        downscale_factor: int | None = None,
     ) -> Topography | None:
         if requires_topography is False:
             return None
@@ -202,11 +203,13 @@ def build_topography(
             self.lat_extent,
             full_coarse_coord=coarse_coords.lat,
             full_fine_coord=topography.coords.lat,
+            downscale_factor=downscale_factor,
         )
         fine_lon_interval = adjust_fine_coord_range(
             self.lon_extent,
             full_coarse_coord=coarse_coords.lon,
             full_fine_coord=topography.coords.lon,
+            downscale_factor=downscale_factor,
         )
         subset_topography = topography.subset_latlon(
             lat_interval=fine_lat_interval, lon_interval=fine_lon_interval
diff --git a/fme/downscaling/data/datasets.py b/fme/downscaling/data/datasets.py
index eb13893a9..314926b61 100644
--- a/fme/downscaling/data/datasets.py
+++ b/fme/downscaling/data/datasets.py
@@ -154,7 +154,6 @@ def __init__(
                 f"lon wraparound not implemented, received lon_min {lon_min} but "
                 f"expected lon_min < {self.lon_interval.start + 360.0}"
             )
-
         assert lats.numel() > 0, "No latitudes found in the specified range."
         assert lons.numel() > 0, "No longitudes found in the specified range."
 
diff --git a/fme/downscaling/inference/inference.py b/fme/downscaling/inference/inference.py
index cf1ce055c..5143a1943 100644
--- a/fme/downscaling/inference/inference.py
+++ b/fme/downscaling/inference/inference.py
@@ -243,6 +243,7 @@ def build(self) -> Downscaler:
                 requirements=self.model.data_requirements,
                 patch=self.patch,
                 static_inputs_from_checkpoint=model.static_inputs,
+                downscale_factor=model.downscale_factor,
             )
             for output_cfg in self.outputs
         ]
diff --git a/fme/downscaling/inference/output.py b/fme/downscaling/inference/output.py
index a794f103b..ec5da7d9c 100644
--- a/fme/downscaling/inference/output.py
+++ b/fme/downscaling/inference/output.py
@@ -217,6 +217,7 @@ def _build_gridded_data(
         requirements: DataRequirements,
         dist: Distributed | None = None,
         static_inputs_from_checkpoint: StaticInputs | None = None,
+        downscale_factor: int | None = None,
     ) -> SliceWorkItemGriddedData:
         xr_dataset, properties = loader_config.get_xarray_dataset(
             names=requirements.coarse_names, n_timesteps=1
@@ -232,6 +233,7 @@ def _build_gridded_data(
             requires_topography=requirements.use_fine_topography,
             # TODO: update to support full list of static inputs
             static_inputs_from_checkpoint=static_inputs_from_checkpoint,
+            downscale_factor=downscale_factor,
         )
         if topography is None:
             raise ValueError("Topography is required for downscaling generation.")
@@ -286,6 +288,7 @@ def _build(
         patch: PatchPredictionConfig,
         coarse: list[XarrayDataConfig],
         static_inputs_from_checkpoint: StaticInputs | None = None,
+        downscale_factor: int | None = None,
     ) -> DownscalingOutput:
         updated_loader_config = self._replace_loader_config(
             time,
@@ -299,6 +302,7 @@ def _build(
             updated_loader_config,
             requirements,
             static_inputs_from_checkpoint=static_inputs_from_checkpoint,
+            downscale_factor=downscale_factor,
         )
 
         if self.zarr_chunks is None:
@@ -386,6 +390,7 @@ def build(
         requirements: DataRequirements,
         patch: PatchPredictionConfig,
         static_inputs_from_checkpoint: StaticInputs | None = None,
+        downscale_factor: int | None = None,
     ) -> DownscalingOutput:
         # Convert single time to TimeSlice
         time: Slice | TimeSlice
@@ -409,6 +414,7 @@ def build(
             patch=patch,
             coarse=coarse,
             static_inputs_from_checkpoint=static_inputs_from_checkpoint,
+            downscale_factor=downscale_factor,
         )
 
 
@@ -469,6 +475,7 @@ def build(
         requirements: DataRequirements,
         patch: PatchPredictionConfig,
         static_inputs_from_checkpoint: StaticInputs | None = None,
+        downscale_factor: int | None = None,
     ) -> DownscalingOutput:
         coarse = self._single_xarray_config(loader_config.coarse)
         return self._build(
@@ -480,4 +487,5 @@ def build(
             patch=patch,
             coarse=coarse,
             static_inputs_from_checkpoint=static_inputs_from_checkpoint,
+            downscale_factor=downscale_factor,
         )