diff --git a/comfy/ldm/wan/model.py b/comfy/ldm/wan/model.py
index e53a49769..075902752 100644
--- a/comfy/ldm/wan/model.py
+++ b/comfy/ldm/wan/model.py
@@ -117,7 +117,7 @@ class WanI2VCrossAttention(WanSelfAttention):
         # self.alpha = nn.Parameter(torch.zeros((1, )))
         self.norm_k_img = operation_settings.get("operations").RMSNorm(dim, eps=eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) if qk_norm else nn.Identity()
 
-    def forward(self, x, context, context_img_len):
+    def forward(self, x, context, context_img_len, transformer_options={}):
         r"""
         Args:
             x(Tensor): Shape [B, L1, C]
@@ -132,9 +132,9 @@ class WanI2VCrossAttention(WanSelfAttention):
         v = self.v(context)
         k_img = self.norm_k_img(self.k_img(context_img))
         v_img = self.v_img(context_img)
-        img_x = optimized_attention(q, k_img, v_img, heads=self.num_heads)
+        img_x = optimized_attention(q, k_img, v_img, heads=self.num_heads, transformer_options=transformer_options)
         # compute attention
-        x = optimized_attention(q, k, v, heads=self.num_heads)
+        x = optimized_attention(q, k, v, heads=self.num_heads, transformer_options=transformer_options)
 
         # output
         x = x + img_x