[Feat] ERNIE image model (T2I) (#2861)

Signed-off-by: Lancer <maruixiang6688@gmail.com>

vllm_omni/diffusion/cache/cache_dit_backend.py

@@ -1320,6 +1320,69 @@ def enable_cache_for_glm_image(pipeline: Any, cache_config: Any) -> Callable[[in
     return refresh_cache_context
 
 
+def enable_cache_for_ernie_image(pipeline: Any, cache_config: Any) -> Callable[[int], None]:
+    """Enable cache-dit for ERNIE-Image pipeline.
+
+    ERNIE-Image blocks have signature:
+        forward(x, rotary_pos_emb, temb, attention_mask) -> x
+
+    Where x is hidden_states (concatenated image + text tokens).
+    This matches Pattern_3 which expects:
+        - Input: hidden_states only
+        - Output: hidden_states only
+
+    Args:
+        pipeline: The ERNIE-Image pipeline 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 ERNIE-Image 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}, "
+    )
+
+    cache_dit.enable_cache(
+        BlockAdapter(
+            transformer=pipeline.transformer,
+            blocks=pipeline.transformer.layers,
+            forward_pattern=ForwardPattern.Pattern_3,
+            check_forward_pattern=False,
+        ),
+        cache_config=db_cache_config,
+        calibrator_config=calibrator_config,
+    )
+
+    def refresh_cache_context(pipeline: Any, num_inference_steps: int, verbose: bool = True) -> None:
+        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
+
+
 # Register custom cache-dit enablers after function definitions
 CUSTOM_DIT_ENABLERS.update(
     {
@@ -1342,6 +1405,7 @@ CUSTOM_DIT_ENABLERS.update(
         "BagelPipeline": enable_cache_for_bagel,
         "GlmImagePipeline": enable_cache_for_glm_image,
         "Flux2Pipeline": enable_cache_for_flux2,
+        "ErnieImagePipeline": enable_cache_for_ernie_image,
     }
 )