diff --git a/src/common/diffusion/timesteps/sampling/trailing.py b/src/common/diffusion/timesteps/sampling/trailing.py
index 955c8e5..a6524b0 100644
--- a/src/common/diffusion/timesteps/sampling/trailing.py
+++ b/src/common/diffusion/timesteps/sampling/trailing.py
@@ -36,7 +36,7 @@ class UniformTrailingSamplingTimesteps(SamplingTimesteps):
         dtype: torch.dtype = torch.float32,
     ):
         # Create trailing timesteps with specified dtype
-        timesteps = torch.arange(1.0, 0.0, -1.0 / steps, device=device, dtype=dtype)
+        timesteps = torch.arange(1.0, 0.0, -1.0 / steps, device='cpu').to(device=device, dtype=dtype)
 
         # Shift timesteps.
         timesteps = shift * timesteps / (1 + (shift - 1) * timesteps)
diff --git a/src/data/image/transforms/area_resize.py b/src/data/image/transforms/area_resize.py
index ead8188..5873b85 100644
--- a/src/data/image/transforms/area_resize.py
+++ b/src/data/image/transforms/area_resize.py
@@ -50,10 +50,12 @@ class AreaResize:
 
         resized_height, resized_width = round(height * scale), round(width * scale)
 
+        antialias = not (isinstance(image, torch.Tensor) and image.device.type == 'mps')
         return TVF.resize(
             image,
             size=(resized_height, resized_width),
             interpolation=self.interpolation,
+            antialias=antialias,
         )
 
 
diff --git a/src/data/image/transforms/side_resize.py b/src/data/image/transforms/side_resize.py
index 6fff1f4..6d5273f 100644
--- a/src/data/image/transforms/side_resize.py
+++ b/src/data/image/transforms/side_resize.py
@@ -56,8 +56,9 @@ class SideResize:
         else:
             size = self.size
 
-        # Resize to shortest edge
-        resized = TVF.resize(image, size, self.interpolation)
+        # Resize to shortest edge (disable antialias only for MPS tensors - not supported)
+        antialias = not (isinstance(image, torch.Tensor) and image.device.type == 'mps')
+        resized = TVF.resize(image, size, self.interpolation, antialias=antialias)
         
         # Apply max_size constraint if specified
         if self.max_size > 0:
@@ -69,6 +70,6 @@ class SideResize:
             if max(h, w) > self.max_size:
                 scale = self.max_size / max(h, w)
                 new_h, new_w = round(h * scale), round(w * scale)
-                resized = TVF.resize(resized, (new_h, new_w), self.interpolation)
+                resized = TVF.resize(resized, (new_h, new_w), self.interpolation, antialias=antialias)
         
         return resized