diff --git a/ldm/util.py b/ldm/util.py
index 459816cf30..94ad492e22 100644
--- a/ldm/util.py
+++ b/ldm/util.py
@@ -218,7 +218,7 @@ def rand_perlin_2d(shape, res, fade = lambda t: 6*t**5 - 15*t**4 + 10*t**3):
     delta = (res[0] / shape[0], res[1] / shape[1])
     d = (shape[0] // res[0], shape[1] // res[1])
 
-    grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1])), dim = -1) % 1
+    grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1]), indexing='ij'), dim = -1) % 1
     angles = 2*math.pi*torch.rand(res[0]+1, res[1]+1)
     gradients = torch.stack((torch.cos(angles), torch.sin(angles)), dim = -1)
 
@@ -230,4 +230,4 @@ def rand_perlin_2d(shape, res, fade = lambda t: 6*t**5 - 15*t**4 + 10*t**3):
     n01 = dot(tile_grads([0, -1],[1, None]), [0, -1])
     n11 = dot(tile_grads([1, None], [1, None]), [-1,-1])
     t = fade(grid[:shape[0], :shape[1]])
-    return math.sqrt(2) * torch.lerp(torch.lerp(n00, n10, t[..., 0]), torch.lerp(n01, n11, t[..., 0]), t[..., 1])
\ No newline at end of file
+    return math.sqrt(2) * torch.lerp(torch.lerp(n00, n10, t[..., 0]), torch.lerp(n01, n11, t[..., 0]), t[..., 1])