diff --git a/ivy/functional/frontends/jax/numpy/creation.py b/ivy/functional/frontends/jax/numpy/creation.py
index 65de35d7444d1..0ee3781d3c64b 100644
--- a/ivy/functional/frontends/jax/numpy/creation.py
+++ b/ivy/functional/frontends/jax/numpy/creation.py
@@ -1,7 +1,7 @@
 import ivy
 from ivy.func_wrapper import with_unsupported_dtypes
 from ivy.functional.frontends.jax.array import Array
-import ivy.functional.frontends.jax.numpy as jnp
+import ivy.functional.frontends.jax.numpy as jnp_frontend
 from ivy.functional.frontends.jax.func_wrapper import (
     to_ivy_arrays_and_back,
     outputs_to_frontend_arrays,
@@ -270,7 +270,7 @@ def setdiff1d(ar1, ar2, assume_unique=False, *, size=None, fill_value=None):
             if ivy.is_bool_dtype(ar1.dtype)
             else ivy.to_scalar(ivy.min(ar1))
         )
-        ar1 = jnp.unique(ar1, size=size and ar1.size, fill_value=val).ivy_array
+        ar1 = jnp_frontend.unique(ar1, size=size and ar1.size, fill_value=val).ivy_array
     mask = in1d(ar1, ar2, invert=True).ivy_array
     if size is None:
         return ar1[mask]
@@ -281,7 +281,7 @@ def setdiff1d(ar1, ar2, assume_unique=False, *, size=None, fill_value=None):
             mask = ivy.where(ivy.arange(ar1.size) < n_unique, mask, False)
         return ivy.where(
             ivy.arange(size) < mask.sum(dtype=ivy.int64),
-            ar1[jnp.where(mask, size=size)[0].ivy_array],
+            ar1[jnp_frontend.where(mask, size=size)[0].ivy_array],
             fill_value,
         )