diff --git a/ldm/modules/diffusionmodules/model.py b/ldm/modules/diffusionmodules/model.py
index 78876a0919..d10676c841 100644
--- a/ldm/modules/diffusionmodules/model.py
+++ b/ldm/modules/diffusionmodules/model.py
@@ -49,9 +49,15 @@ class Upsample(nn.Module):
                                         padding=1)
 
     def forward(self, x):
+        cpu_m1_cond = True if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available() and \
+                              x.size()[0] * x.size()[1] * x.size()[2] * x.size()[3] % 2**27 == 0 else False
+        if cpu_m1_cond:
+            x = x.to('cpu')  # send to cpu
         x = torch.nn.functional.interpolate(x, scale_factor=2.0, mode="nearest")
         if self.with_conv:
             x = self.conv(x)
+        if cpu_m1_cond:
+            x = x.to('mps')  # return to mps
         return x
 
 
@@ -117,6 +123,14 @@ class ResnetBlock(nn.Module):
                                                     padding=0)
 
     def forward(self, x, temb):
+        if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+            x_size = x.size()
+            if (x_size[0] * x_size[1] * x_size[2] * x_size[3]) % 2**29 == 0:
+                self.to('cpu')
+                x = x.to('cpu')
+            else:
+                self.to('mps')
+                x = x.to('mps')
         h = self.norm1(x)
         h = silu(h)
         h = self.conv1(h)