diff --git a/tests/pipelines/controlnet/test_controlnet.py b/tests/pipelines/controlnet/test_controlnet.py
index 114a36b37f..cc0696bae9 100644
--- a/tests/pipelines/controlnet/test_controlnet.py
+++ b/tests/pipelines/controlnet/test_controlnet.py
@@ -302,7 +302,7 @@ class StableDiffusionMultiControlNetPipelineFastTests(
 
         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 @@ class StableDiffusionMultiControlNetOneModelPipelineFastTests(
 
         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 89e2b3803d..46821a51b7 100644
--- a/tests/pipelines/controlnet/test_controlnet_img2img.py
+++ b/tests/pipelines/controlnet/test_controlnet_img2img.py
@@ -210,7 +210,7 @@ class StableDiffusionMultiControlNetPipelineFastTests(
 
         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 67e0da4de9..32ae8d125a 100644
--- a/tests/pipelines/controlnet/test_controlnet_inpaint.py
+++ b/tests/pipelines/controlnet/test_controlnet_inpaint.py
@@ -273,7 +273,7 @@ class MultiControlNetInpaintPipelineFastTests(
 
         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 c82ce6c39c..e06f228a7d 100644
--- a/tests/pipelines/controlnet/test_controlnet_sdxl.py
+++ b/tests/pipelines/controlnet/test_controlnet_sdxl.py
@@ -503,7 +503,7 @@ class StableDiffusionXLMultiControlNetPipelineFastTests(
 
         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 @@ class StableDiffusionXLMultiControlNetOneModelPipelineFastTests(
 
         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(