diff --git a/src/diffusers/models/autoencoders/autoencoder_kl_qwenimage21.py b/src/diffusers/models/autoencoders/autoencoder_kl_qwenimage21.py
index ac6af47ab493..665f9377648d 100644
--- a/src/diffusers/models/autoencoders/autoencoder_kl_qwenimage21.py
+++ b/src/diffusers/models/autoencoders/autoencoder_kl_qwenimage21.py
@@ -515,7 +515,7 @@ def __init__(self, in_dim, out_dim, dropout, num_res_blocks, temperal_downsample
     def forward(self, x, feat_cache=None, feat_idx=None) -> torch.Tensor:
         if feat_idx is None:
             feat_idx = [0]
-        x_copy = x.clone()
+        x_copy = x
         for resnet in self.resnets:
             x = resnet(x, feat_cache=feat_cache, feat_idx=feat_idx)
         if self.downsampler is not None:
@@ -714,7 +714,7 @@ def forward(self, x, feat_cache=None, feat_idx=None, first_chunk=False) -> torch
         Returns:
             torch.Tensor: Output tensor
         """
-        x_copy = x.clone()
+        x_copy = x
 
         for resnet in self.resnets:
             if feat_cache is not None:
diff --git a/src/diffusers/models/autoencoders/autoencoder_kl_wan.py b/src/diffusers/models/autoencoders/autoencoder_kl_wan.py
index dcb280ff21a2..e05c0a1c18cd 100644
--- a/src/diffusers/models/autoencoders/autoencoder_kl_wan.py
+++ b/src/diffusers/models/autoencoders/autoencoder_kl_wan.py
@@ -501,7 +501,7 @@ def __init__(self, in_dim, out_dim, dropout, num_res_blocks, temperal_downsample
             self.downsampler = None
 
     def forward(self, x, feat_cache=None, feat_idx=[0]) -> torch.Tensor:
-        x_copy = x.clone()
+        x_copy = x
         for resnet in self.resnets:
             x = resnet(x, feat_cache=feat_cache, feat_idx=feat_idx)
         if self.downsampler is not None:
@@ -700,7 +700,7 @@ def forward(self, x, feat_cache=None, feat_idx=[0], first_chunk=False) -> torch.
         Returns:
             torch.Tensor: Output tensor
         """
-        x_copy = x.clone()
+        x_copy = x
 
         for resnet in self.resnets:
             if feat_cache is not None: