diff --git a/docs/user_guide/diffusion_acceleration.md b/docs/user_guide/diffusion_acceleration.md
index 1a2e0a7d23..8ce689ed4f 100644
--- a/docs/user_guide/diffusion_acceleration.md
+++ b/docs/user_guide/diffusion_acceleration.md
@@ -72,6 +72,12 @@ The following table shows which models are currently supported by each accelerat
 |-------|------------------|:--------:|:---------:|:----------:|:--------------:|:----------------:|
 | **Wan2.2** | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | ❌ | ✅ | ✅ | ✅ | ✅ |
 
+### AudioGen
+
+| Model | Model Identifier | TeaCache | Cache-DiT | Ulysses-SP | Ring-Attention |CFG-Parallel |Tensor-Parallel |
+|-------|------------------|:--------:|:---------:|:----------:|:--------------:|:----------------:|:----------------:|
+| **Stable-Audio-Open** | `stabilityai/stable-audio-open-1.0` | | ✅ | ✅ | ❓ | ❓ | ❓ |  ❌ |
+
 ### Quantization
 
 | Model | Model Identifier | FP8 |
diff --git a/vllm_omni/diffusion/cache/cache_dit_backend.py b/vllm_omni/diffusion/cache/cache_dit_backend.py
index f014d073e8..ee9c0d34a9 100644
--- a/vllm_omni/diffusion/cache/cache_dit_backend.py
+++ b/vllm_omni/diffusion/cache/cache_dit_backend.py
@@ -346,6 +346,79 @@ def refresh_cache_context(pipeline: Any, num_inference_steps: int, verbose: bool
     return refresh_cache_context
 
 
+def enable_cache_for_stable_audio_open(pipeline: Any, cache_config: Any) -> Callable[[int], None]:
+    """Enable cache-dit for Stable Audio Open pipeline.
+
+    Args:
+        pipeline: The StableAudioPipeline instance.
+        cache_config: DiffusionCacheConfig instance with cache configuration.
+
+    Returns:
+        A refresh function that can be called to update cache context with new num_inference_steps.
+    """
+    db_cache_config = _build_db_cache_config(cache_config)
+
+    calibrator_config = None
+    if cache_config.enable_taylorseer:
+        taylorseer_order = cache_config.taylorseer_order
+        calibrator_config = TaylorSeerCalibratorConfig(taylorseer_order=taylorseer_order)
+        logger.info(f"TaylorSeer enabled with order={taylorseer_order}")
+
+    logger.info(
+        f"Enabling cache-dit on Stable Audio transformer: "
+        f"Fn={db_cache_config.Fn_compute_blocks}, "
+        f"Bn={db_cache_config.Bn_compute_blocks}, "
+        f"W={db_cache_config.max_warmup_steps}, "
+    )
+
+    # StableAudio is officially registered in CacheDiT as Pattern_3:
+    # https://github.com/vipshop/cache-dit/blob/69e82bd1/src/cache_dit/caching/block_adapters/__init__.py#L562
+    #
+    # Pattern_3 is required because StableAudioDiT uses cross-attention
+    # with static encoder_hidden_states that do not change inside the
+    # transformer block loop.
+    cache_dit.enable_cache(
+        BlockAdapter(
+            transformer=pipeline.transformer,
+            blocks=pipeline.transformer.transformer_blocks,
+            forward_pattern=ForwardPattern.Pattern_3,
+            params_modifiers=[
+                ParamsModifier(
+                    cache_config=db_cache_config,
+                    calibrator_config=calibrator_config,
+                )
+            ],
+        ),
+        cache_config=db_cache_config,
+    )
+
+    def refresh_cache_context(pipeline: Any, num_inference_steps: int, verbose: bool = True) -> None:
+        """Refresh cache context for the transformer with new num_inference_steps.
+
+        Args:
+            pipeline: The StableAudioPipeline instance.
+            num_inference_steps: New number of inference steps.
+            verbose: Whether to log refresh operations.
+        """
+        if cache_config.scm_steps_mask_policy is None:
+            cache_dit.refresh_context(pipeline.transformer, num_inference_steps=num_inference_steps, verbose=verbose)
+        else:
+            cache_dit.refresh_context(
+                pipeline.transformer,
+                cache_config=DBCacheConfig().reset(
+                    num_inference_steps=num_inference_steps,
+                    steps_computation_mask=cache_dit.steps_mask(
+                        mask_policy=cache_config.scm_steps_mask_policy,
+                        total_steps=num_inference_steps,
+                    ),
+                    steps_computation_policy=cache_config.scm_steps_policy,
+                ),
+                verbose=verbose,
+            )
+
+    return refresh_cache_context
+
+
 def enable_cache_for_sd3(pipeline: Any, cache_config: Any) -> Callable[[int], None]:
     """Enable cache-dit for StableDiffusion3Pipeline.
 
@@ -861,6 +934,7 @@ def refresh_cache_context(pipeline: Any, num_inference_steps: int, verbose: bool
         "FluxPipeline": enable_cache_for_flux,
         "LongCatImagePipeline": enable_cache_for_longcat_image,
         "LongCatImageEditPipeline": enable_cache_for_longcat_image,
+        "StableAudioPipeline": enable_cache_for_stable_audio_open,
         "StableDiffusion3Pipeline": enable_cache_for_sd3,
         "BagelPipeline": enable_cache_for_bagel,
     }
diff --git a/vllm_omni/diffusion/models/stable_audio/stable_audio_transformer.py b/vllm_omni/diffusion/models/stable_audio/stable_audio_transformer.py
index 22d56ac1fd..4a4892673f 100644
--- a/vllm_omni/diffusion/models/stable_audio/stable_audio_transformer.py
+++ b/vllm_omni/diffusion/models/stable_audio/stable_audio_transformer.py
@@ -375,6 +375,8 @@ class StableAudioDiTModel(nn.Module):
     - Output: [B, out_channels, L]
     """
 
+    _repeated_blocks = ["StableAudioDiTBlock"]
+
     def __init__(
         self,
         od_config: OmniDiffusionConfig | None = None,