diff --git a/comfy/ldm/wan/vae.py b/comfy/ldm/wan/vae.py
index a4a567130..d224336a3 100644
--- a/comfy/ldm/wan/vae.py
+++ b/comfy/ldm/wan/vae.py
@@ -109,7 +109,7 @@ class Resample(nn.Module):
                     feat_idx[0] += 1
                 else:
 
-                    cache_x = x[:, :, -CACHE_T:, :, :].clone()
+                    cache_x = x[:, :, -CACHE_T:, :, :]
                     if feat_cache[idx] == 'Rep':
                         x = self.time_conv(x)
                     else:
@@ -130,10 +130,10 @@ class Resample(nn.Module):
             if feat_cache is not None:
                 idx = feat_idx[0]
                 if feat_cache[idx] is None:
-                    feat_cache[idx] = x.clone()
+                    feat_cache[idx] = x
                 else:
 
-                    cache_x = x[:, :, -1:, :, :].clone()
+                    cache_x = x[:, :, -1:, :, :]
                     x = self.time_conv(
                         torch.cat([feat_cache[idx][:, :, -1:, :, :], x], 2))
                     feat_cache[idx] = cache_x
@@ -172,7 +172,7 @@ class ResidualBlock(nn.Module):
         for layer in self.residual:
             if isinstance(layer, CausalConv3d) and feat_cache is not None:
                 idx = feat_idx[0]
-                cache_x = x[:, :, -CACHE_T:, :, :].clone()
+                cache_x = x[:, :, -CACHE_T:, :, :]
                 x = layer(x, cache_list=feat_cache, cache_idx=idx)
                 feat_cache[idx] = cache_x
                 feat_idx[0] += 1
@@ -269,7 +269,7 @@ class Encoder3d(nn.Module):
     def forward(self, x, feat_cache=None, feat_idx=[0], final=False):
         if feat_cache is not None:
             idx = feat_idx[0]
-            cache_x = x[:, :, -CACHE_T:, :, :].clone()
+            cache_x = x[:, :, -CACHE_T:, :, :]
             x = self.conv1(x, feat_cache[idx])
             feat_cache[idx] = cache_x
             feat_idx[0] += 1
@@ -296,7 +296,7 @@ class Encoder3d(nn.Module):
         for layer in self.head:
             if isinstance(layer, CausalConv3d) and feat_cache is not None:
                 idx = feat_idx[0]
-                cache_x = x[:, :, -CACHE_T:, :, :].clone()
+                cache_x = x[:, :, -CACHE_T:, :, :]
                 x = layer(x, feat_cache[idx])
                 feat_cache[idx] = cache_x
                 feat_idx[0] += 1
@@ -364,7 +364,7 @@ class Decoder3d(nn.Module):
         ## conv1
         if feat_cache is not None:
             idx = feat_idx[0]
-            cache_x = x[:, :, -CACHE_T:, :, :].clone()
+            cache_x = x[:, :, -CACHE_T:, :, :]
             x = self.conv1(x, feat_cache[idx])
             feat_cache[idx] = cache_x
             feat_idx[0] += 1
@@ -383,7 +383,7 @@ class Decoder3d(nn.Module):
         def run_head(x, feat_idx):
             for layer in self.head:
                 if isinstance(layer, CausalConv3d) and feat_cache is not None:
-                    cache_x = x[:, :, -CACHE_T:, :, :].clone()
+                    cache_x = x[:, :, -CACHE_T:, :, :]
                     x = layer(x, feat_cache[feat_idx[0]])
                     feat_cache[feat_idx[0]] = cache_x
                     feat_idx[0] += 1