diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py
index 07d07cc60e..526e1ffcb2 100644
--- a/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py
+++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py
@@ -912,11 +912,11 @@ class StableDiffusionXLControlNetImg2ImgPipeline(
                 f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
             )
 
-            latents_mean = latents_std = None
-            if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
-                latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
-            if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
-                latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
+        latents_mean = latents_std = None
+        if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
+            latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
+        if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
+            latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
 
         # Offload text encoder if `enable_model_cpu_offload` was enabled
         if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet_union_sd_xl_img2img.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet_union_sd_xl_img2img.py
index 4b283710d0..82ef4b6391 100644
--- a/src/diffusers/pipelines/controlnet/pipeline_controlnet_union_sd_xl_img2img.py
+++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet_union_sd_xl_img2img.py
@@ -867,11 +867,11 @@ class StableDiffusionXLControlNetUnionImg2ImgPipeline(
                 f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
             )
 
-            latents_mean = latents_std = None
-            if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
-                latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
-            if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
-                latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
+        latents_mean = latents_std = None
+        if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
+            latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
+        if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
+            latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
 
         # Offload text encoder if `enable_model_cpu_offload` was enabled
         if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
diff --git a/src/diffusers/pipelines/kolors/pipeline_kolors_img2img.py b/src/diffusers/pipelines/kolors/pipeline_kolors_img2img.py
index a9af5512cc..e3cf4f2276 100644
--- a/src/diffusers/pipelines/kolors/pipeline_kolors_img2img.py
+++ b/src/diffusers/pipelines/kolors/pipeline_kolors_img2img.py
@@ -609,11 +609,11 @@ class KolorsImg2ImgPipeline(DiffusionPipeline, StableDiffusionMixin, StableDiffu
                 f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
             )
 
-            latents_mean = latents_std = None
-            if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
-                latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
-            if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
-                latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
+        latents_mean = latents_std = None
+        if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
+            latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
+        if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
+            latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
 
         # Offload text encoder if `enable_model_cpu_offload` was enabled
         if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
diff --git a/src/diffusers/pipelines/pag/pipeline_pag_controlnet_sd_xl_img2img.py b/src/diffusers/pipelines/pag/pipeline_pag_controlnet_sd_xl_img2img.py
index 8059fa5c79..913a647fae 100644
--- a/src/diffusers/pipelines/pag/pipeline_pag_controlnet_sd_xl_img2img.py
+++ b/src/diffusers/pipelines/pag/pipeline_pag_controlnet_sd_xl_img2img.py
@@ -917,11 +917,11 @@ class StableDiffusionXLControlNetPAGImg2ImgPipeline(
                 f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
             )
 
-            latents_mean = latents_std = None
-            if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
-                latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
-            if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
-                latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
+        latents_mean = latents_std = None
+        if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
+            latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
+        if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
+            latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
 
         # Offload text encoder if `enable_model_cpu_offload` was enabled
         if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
diff --git a/src/diffusers/pipelines/pag/pipeline_pag_sd_xl_img2img.py b/src/diffusers/pipelines/pag/pipeline_pag_sd_xl_img2img.py
index e582558f52..8c355a5fb1 100644
--- a/src/diffusers/pipelines/pag/pipeline_pag_sd_xl_img2img.py
+++ b/src/diffusers/pipelines/pag/pipeline_pag_sd_xl_img2img.py
@@ -707,11 +707,11 @@ class StableDiffusionXLPAGImg2ImgPipeline(
                 f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
             )
 
-            latents_mean = latents_std = None
-            if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
-                latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
-            if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
-                latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
+        latents_mean = latents_std = None
+        if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
+            latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
+        if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
+            latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
 
         # Offload text encoder if `enable_model_cpu_offload` was enabled
         if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
diff --git a/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py b/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py
index 31a701d082..e63c7a55ce 100644
--- a/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py
+++ b/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py
@@ -695,11 +695,11 @@ class StableDiffusionXLImg2ImgPipeline(
                 f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
             )
 
-            latents_mean = latents_std = None
-            if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
-                latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
-            if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
-                latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
+        latents_mean = latents_std = None
+        if hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None:
+            latents_mean = torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1)
+        if hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None:
+            latents_std = torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1)
 
         # Offload text encoder if `enable_model_cpu_offload` was enabled
         if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None: