diff --git a/comfy_extras/nodes_upscale_model.py b/comfy_extras/nodes_upscale_model.py
index db4f9d231..d3ee3f1c1 100644
--- a/comfy_extras/nodes_upscale_model.py
+++ b/comfy_extras/nodes_upscale_model.py
@@ -6,6 +6,7 @@ import comfy.utils
 import folder_paths
 from typing_extensions import override
 from comfy_api.latest import ComfyExtension, io
+import comfy.model_management
 
 try:
     from spandrel_extra_arches import EXTRA_REGISTRY
@@ -78,13 +79,15 @@ class ImageUpscaleWithModel(io.ComfyNode):
         tile = 512
         overlap = 32
 
+        output_device = comfy.model_management.intermediate_device()
+
         oom = True
         try:
             while oom:
                 try:
                     steps = in_img.shape[0] * comfy.utils.get_tiled_scale_steps(in_img.shape[3], in_img.shape[2], tile_x=tile, tile_y=tile, overlap=overlap)
                     pbar = comfy.utils.ProgressBar(steps)
-                    s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
+                    s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a.float()), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar, output_device=output_device)
                     oom = False
                 except Exception as e:
                     model_management.raise_non_oom(e)
@@ -94,7 +97,7 @@ class ImageUpscaleWithModel(io.ComfyNode):
         finally:
             upscale_model.to("cpu")
 
-        s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
+        s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0).to(comfy.model_management.intermediate_dtype())
         return io.NodeOutput(s)
 
     upscale = execute  # TODO: remove
diff --git a/tests-unit/test_aggressive_offload.py b/tests-unit/test_aggressive_offload.py
index 6caa468d1..130023242 100644
--- a/tests-unit/test_aggressive_offload.py
+++ b/tests-unit/test_aggressive_offload.py
@@ -18,6 +18,7 @@ class FakeLinearModel(nn.Module):
     """Minimal nn.Module whose parameters consume measurable memory."""
 
     def __init__(self, size_mb: float = 2.0):
+        """Create a model with approximately ``size_mb`` MB of float32 params."""
         super().__init__()
         # Each float32 param = 4 bytes, so `n` params ≈ size_mb * 1024² / 4
         n = int(size_mb * 1024 * 1024 / 4)
@@ -28,13 +29,16 @@ class FakeModelPatcher:
     """Mimics the subset of ModelPatcher used by model_management.free_memory."""
 
     def __init__(self, size_mb: float = 2.0):
+        """Create a patcher wrapping a ``FakeLinearModel`` of the given size."""
         self.model = FakeLinearModel(size_mb)
         self._loaded_size = int(size_mb * 1024 * 1024)
 
     def loaded_size(self):
+        """Return reported loaded size in bytes."""
         return self._loaded_size
 
     def is_dynamic(self):
+        """Static model — never dynamically offloaded."""
         return False
 
 
@@ -42,20 +46,25 @@ class FakeLoadedModel:
     """Mimics LoadedModel entries in current_loaded_models."""
 
     def __init__(self, patcher: FakeModelPatcher, *, currently_used: bool = False):
+        """Wrap a ``FakeModelPatcher`` as a loaded-model entry."""
         self._model = patcher
         self.currently_used = currently_used
 
     @property
     def model(self):
+        """Return the underlying model patcher."""
         return self._model
 
     def model_memory(self):
+        """Return memory footprint in bytes."""
         return self._model.loaded_size()
 
     def model_unload(self, _memory_to_free):
+        """Simulate successful unload."""
         return True
 
     def model_load(self, _device, _keep_loaded):
+        """No-op load for testing."""
         pass
 
 
@@ -142,18 +151,19 @@ class TestModelDestroyedCallbacks:
     """Validate the on_model_destroyed lifecycle callback system."""
 
     def setup_method(self):
-        """Reset the callback list before every test."""
+        """Save and reset the callback list before every test."""
         import comfy.model_management as mm
         self._original = mm._on_model_destroyed_callbacks.copy()
         mm._on_model_destroyed_callbacks.clear()
 
     def teardown_method(self):
-        """Restore the original callback list."""
+        """Restore the original callback list after every test."""
         import comfy.model_management as mm
         mm._on_model_destroyed_callbacks.clear()
         mm._on_model_destroyed_callbacks.extend(self._original)
 
     def test_register_single_callback(self):
+        """A single registered callback must be stored and callable."""
         import comfy.model_management as mm
 
         invocations = []
@@ -269,7 +279,7 @@ class TestMpsFlushConditionality:
             mm.AGGRESSIVE_OFFLOAD = original
 
     def test_flush_requires_mps_device(self):
-        """The flush condition checks device.type == 'mps'."""
+        """The flush must only activate on MPS devices, not CPU or CUDA."""
         # Simulate CPU device — flush should not activate
         cpu_device = torch.device("cpu")
         assert cpu_device.type != "mps"