diff --git a/vllm_omni/diffusion/cache/teacache/extractors.py b/vllm_omni/diffusion/cache/teacache/extractors.py
index 7802979191..41ff4fa271 100644
--- a/vllm_omni/diffusion/cache/teacache/extractors.py
+++ b/vllm_omni/diffusion/cache/teacache/extractors.py
@@ -188,8 +188,21 @@ def extract_qwen_context(
     # ============================================================================
     # PREPROCESSING (Qwen-specific)
     # ============================================================================
-    hidden_states = module.img_in(hidden_states)
+    # Call image_rope_prepare instead of img_in + pos_embed directly.
+    # This ensures the SequenceParallelSplitHook registered on image_rope_prepare
+    # fires when SP is enabled, correctly sharding hidden_states and vid_freqs.
+    hidden_states, vid_freqs, txt_freqs = module.image_rope_prepare(hidden_states, img_shapes, txt_seq_lens)
+    image_rotary_emb = (vid_freqs, txt_freqs)
+
     timestep = timestep.to(device=hidden_states.device, dtype=hidden_states.dtype)
+
+    # Call modulate_index_prepare instead of handling timestep directly.
+    # For zero_cond_t=False: timestep unchanged, modulate_index=None.
+    # For zero_cond_t=True: timestep is doubled, modulate_index is created and
+    # sharded by the SequenceParallelSplitHook on modulate_index_prepare so that
+    # its sequence dimension matches the already-sharded hidden_states.
+    timestep, modulate_index = module.modulate_index_prepare(timestep, img_shapes)
+
     encoder_hidden_states = module.txt_norm(encoder_hidden_states)
     encoder_hidden_states = module.txt_in(encoder_hidden_states)
 
@@ -202,8 +215,6 @@ def extract_qwen_context(
         else module.time_text_embed(timestep, guidance, hidden_states, additional_t_cond)
     )
 
-    image_rotary_emb = module.pos_embed(img_shapes, txt_seq_lens, device=hidden_states.device)
-
     # ============================================================================
     # EXTRACT MODULATED INPUT (for cache decision)
     # ============================================================================
@@ -249,6 +260,7 @@ def run_transformer_blocks():
                 temb=temb,
                 image_rotary_emb=image_rotary_emb,
                 joint_attention_kwargs=attention_kwargs,
+                modulate_index=modulate_index,
                 hidden_states_mask=hidden_states_mask,
             )
         return (h, e)