diff --git a/tests/pipelines/controlnet/test_controlnet.py b/tests/pipelines/controlnet/test_controlnet.py
index bd6330c12c40..8c391becc757 100644
--- a/tests/pipelines/controlnet/test_controlnet.py
+++ b/tests/pipelines/controlnet/test_controlnet.py
@@ -302,7 +302,7 @@ def get_dummy_components(self):
 
         def init_weights(m):
             if isinstance(m, torch.nn.Conv2d):
-                torch.nn.init.normal(m.weight)
+                torch.nn.init.normal_(m.weight)
                 m.bias.data.fill_(1.0)
 
         controlnet1 = ControlNetModel(
@@ -519,7 +519,7 @@ def get_dummy_components(self):
 
         def init_weights(m):
             if isinstance(m, torch.nn.Conv2d):
-                torch.nn.init.normal(m.weight)
+                torch.nn.init.normal_(m.weight)
                 m.bias.data.fill_(1.0)
 
         controlnet = ControlNetModel(
diff --git a/tests/pipelines/controlnet/test_controlnet_img2img.py b/tests/pipelines/controlnet/test_controlnet_img2img.py
index 0e04325d85b2..7496021a2c1b 100644
--- a/tests/pipelines/controlnet/test_controlnet_img2img.py
+++ b/tests/pipelines/controlnet/test_controlnet_img2img.py
@@ -210,7 +210,7 @@ def get_dummy_components(self):
 
         def init_weights(m):
             if isinstance(m, torch.nn.Conv2d):
-                torch.nn.init.normal(m.weight)
+                torch.nn.init.normal_(m.weight)
                 m.bias.data.fill_(1.0)
 
         controlnet1 = ControlNetModel(
diff --git a/tests/pipelines/controlnet/test_controlnet_inpaint.py b/tests/pipelines/controlnet/test_controlnet_inpaint.py
index 4cefa4a0463c..6a4ec79d1eb2 100644
--- a/tests/pipelines/controlnet/test_controlnet_inpaint.py
+++ b/tests/pipelines/controlnet/test_controlnet_inpaint.py
@@ -273,7 +273,7 @@ def get_dummy_components(self):
 
         def init_weights(m):
             if isinstance(m, torch.nn.Conv2d):
-                torch.nn.init.normal(m.weight)
+                torch.nn.init.normal_(m.weight)
                 m.bias.data.fill_(1.0)
 
         controlnet1 = ControlNetModel(
diff --git a/tests/pipelines/controlnet/test_controlnet_sdxl.py b/tests/pipelines/controlnet/test_controlnet_sdxl.py
index c82ce6c39cca..e06f228a7d30 100644
--- a/tests/pipelines/controlnet/test_controlnet_sdxl.py
+++ b/tests/pipelines/controlnet/test_controlnet_sdxl.py
@@ -503,7 +503,7 @@ def get_dummy_components(self):
 
         def init_weights(m):
             if isinstance(m, torch.nn.Conv2d):
-                torch.nn.init.normal(m.weight)
+                torch.nn.init.normal_(m.weight)
                 m.bias.data.fill_(1.0)
 
         controlnet1 = ControlNetModel(
@@ -708,7 +708,7 @@ def get_dummy_components(self):
 
         def init_weights(m):
             if isinstance(m, torch.nn.Conv2d):
-                torch.nn.init.normal(m.weight)
+                torch.nn.init.normal_(m.weight)
                 m.bias.data.fill_(1.0)
 
         controlnet = ControlNetModel(