diff --git a/modules/videoInference.py b/modules/videoInference.py
index d636823..96a03df 100644
--- a/modules/videoInference.py
+++ b/modules/videoInference.py
@@ -5,11 +5,12 @@ import comfy.model_management
 
 class txt2vid:
     @staticmethod
-    def _format_reference_images(referenceImages, model):
+    def _format_reference_images(referenceImages):
         """
-        Shape referenceImages based on model requirements:
-        - skywork:skyreels@v4 -> grouped objects [{type, tag, images, audio?}]
-        - others -> flat list[str] (legacy behavior)
+        Shape referenceImages by payload style:
+        - If any entry uses `images` (Images1..N style), return grouped objects
+          [{type, tag, images, audio?}]
+        - Otherwise return flat list[str] (legacy behavior)
         """
         if referenceImages is None:
             return []
@@ -17,9 +18,12 @@ class txt2vid:
         if not isinstance(referenceImages, list):
             referenceImages = [referenceImages]
 
-        is_skyreels = isinstance(model, str) and model.strip().lower() == "skywork:skyreels@v4"
+        has_grouped_images = any(
+            isinstance(ref, dict) and isinstance(ref.get("images"), list) and len(ref.get("images")) > 0
+            for ref in referenceImages
+        )
 
-        if is_skyreels:
+        if has_grouped_images:
             grouped = []
             for idx, ref in enumerate(referenceImages, start=1):
                 images = []
@@ -357,7 +361,7 @@ class txt2vid:
             print(f"[Debugging] Frame images array: {rwUtils.sanitize_for_logging(frameImages)}")
         # Add referenceImages if provided from Runware Reference Images node
         if referenceImages is not None and len(referenceImages) > 0:
-            formattedReferenceImages = self._format_reference_images(referenceImages, model)
+            formattedReferenceImages = self._format_reference_images(referenceImages)
             if len(formattedReferenceImages) > 0:
                 genConfig[0]["referenceImages"] = formattedReferenceImages
                 print(f"[Debugging] Reference images array: {rwUtils.sanitize_for_logging(formattedReferenceImages)}")
@@ -389,11 +393,10 @@ class txt2vid:
             
             # Merge each input from inputs (only actual input data, not provider settings)
             for key, value in inputs.items():
-                # Normalize referenceImages:
-                # - skyreels -> grouped objects
-                # - others -> flat string[] payload
+                # Normalize referenceImages by payload style:
+                # grouped objects when using ImagesN; otherwise flat string[]
                 if key == "referenceImages":
-                    formatted_input_refs = self._format_reference_images(value, model)
+                    formatted_input_refs = self._format_reference_images(value)
                     if len(formatted_input_refs) > 0:
                         genConfig[0]["inputs"][key] = formatted_input_refs
                     continue
diff --git a/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json b/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json
index e9a2d76..8ade166 100644
--- a/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json
+++ b/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json
@@ -1 +1 @@
-{"id":"060883ac-23f5-4182-8eb3-de6584318ea5","revision":0,"last_node_id":14,"last_link_id":12,"nodes":[{"id":1,"type":"Runware Video Inference","pos":[400.08449596206253,-170.43007921081468],"size":[400,818],"flags":{},"order":5,"mode":0,"inputs":[{"localized_name":"Model","name":"Model","type":"RUNWAREVIDEOMODEL","link":4},{"localized_name":"frameImages","name":"frameImages","shape":7,"type":"RUNWAREFRAMEIMAGES","link":null},{"localized_name":"referenceImages","name":"referenceImages","shape":7,"type":"RUNWAREREFERENCEIMAGES","link":null},{"localized_name":"providerSettings","name":"providerSettings","shape":7,"type":"RUNWAREPROVIDERSETTINGS","link":null},{"localized_name":"inputAudios","name":"inputAudios","shape":7,"type":"RUNWAREINPUTAUDIOS","link":null},{"localized_name":"referenceVideos","name":"referenceVideos","shape":7,"type":"RUNWAREREFERENCEVIDEOS","link":null},{"localized_name":"speech","name":"speech","shape":7,"type":"RUNWAREVIDEOINFERENCESPEECHINPUT","link":null},{"localized_name":"inputs","name":"inputs","shape":7,"type":"RUNWAREVIDEOINFERENCEINPUTS","link":6},{"localized_name":"safetyInputs","name":"safetyInputs","shape":7,"type":"RUNWARESAFETYINPUTS","link":null},{"localized_name":"videoAdvancedFeatureInputs","name":"videoAdvancedFeatureInputs","shape":7,"type":"RUNWAREVIDEOADVANCEDFEATUREINPUTS","link":null},{"localized_name":"Accelerator","name":"Accelerator","shape":7,"type":"RUNWAREACCELERATOR","link":null},{"localized_name":"settings","name":"settings","shape":7,"type":"RUNWAREVIDEOSETTINGS","link":null},{"localized_name":"Multi 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diff --git a/workflows/Runware_Video_Inference_xAI_Grok_Ref_Image.json b/workflows/Runware_Video_Inference_xAI_Grok_Ref_Image.json
index 0f94d00..f09e2d3 100644
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