[Diffusion] Add Minimax-H3 modular pipeline support (#5720)

Signed-off-by: Isotr0py <Isotr0py@outlook.com>
Signed-off-by: lishunyang12 <lishunyang12@163.com>
Signed-off-by: David Chen <530634352@qq.com>
Co-authored-by: lishunyang12 <lishunyang12@163.com>
Co-authored-by: SYLAR <125541396+lishunyang12@users.noreply.github.com>
Co-authored-by: David Chen <530634352@qq.com>

vllm_omni/diffusion/model_metadata.py

@@ -45,6 +45,13 @@ _DIFFUSION_MODEL_METADATA: dict[str, DiffusionModelMetadata] = {
         # packed TRTLLM backend consumes cu_seqlens and isolates that padding.
         attention_mask_free=True,
     ),
+    # The modular alias is served by MiniMaxH3Pipeline and has the same
+    # Ref2VA request contract. Keep admission limits in sync with it.
+    "MiniMaxH3ModularPipeline": DiffusionModelMetadata(
+        supports_multimodal_inputs=True,
+        max_multimodal_image_inputs=9,
+        supports_mixed_reference_inputs=True,
+    ),
     "WanPipeline": DiffusionModelMetadata(attention_mask_free=True),
     "WanImageToVideoPipeline": DiffusionModelMetadata(attention_mask_free=True),
     "WanVACEPipeline": DiffusionModelMetadata(attention_mask_free=True),