diff --git a/comfy_extras/nodes_upscale_model.py b/comfy_extras/nodes_upscale_model.py
index ed587851c..dae8b3722 100644
--- a/comfy_extras/nodes_upscale_model.py
+++ b/comfy_extras/nodes_upscale_model.py
@@ -78,20 +78,19 @@ class ImageUpscaleWithModel(io.ComfyNode):
         overlap = 32
 
         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)
-                    oom = False
-                except model_management.OOM_EXCEPTION as e:
-                    tile //= 2
-                    if tile < 128:
-                        raise e
-        finally:
-            upscale_model.to("cpu")
+        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)
+                 # KEY CHANGE: Pass device as output_device instead of default "cpu"
+                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, output_device=device, pbar=pbar)
+                oom = False
+            except model_management.OOM_EXCEPTION as e:
+                tile //= 2
+                if tile < 128:
+                    raise e
 
+        # upscale_model.to("cpu")  # Commented out to keep model on GPU because when processing batch images then model unnecessarily moves to CPU
         s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
         return io.NodeOutput(s)