Add Sourceful provider Settings

modules/imageInferenceInputs.py

@@ -5,6 +5,7 @@ class imageInferenceInputs:
     """Image Inference Inputs node for configuring image generation inputs"""
     
     MAX_REFERENCE_IMAGES = 14
+    MAX_SUPER_RESOLUTION_REFERENCE_IMAGES = 5
     
     @classmethod
     def INPUT_TYPES(cls):
@@ -27,6 +28,12 @@ class imageInferenceInputs:
                 "default": "",
             })
         
+        for i in range(1, cls.MAX_SUPER_RESOLUTION_REFERENCE_IMAGES + 1):
+            ordinal = rwUtils.getOrdinal(i)
+            optionalInputs[f"Super Resolution Reference Image {i}"] = ("IMAGE", {
+                "tooltip": f"Specifies {ordinal.capitalize()} Super Resolution Reference Image for the inputs.",
+            })
+        
         return {
             "required": {},
             "optional": optionalInputs
@@ -54,6 +61,10 @@ class imageInferenceInputs:
         if len(references) > 0:
             inputs["referenceImages"] = references
 
+        super_resolution_refs = self._collectSuperResolutionReferences(kwargs)
+        if len(super_resolution_refs) > 0:
+            inputs["superResolutionReferenceImages"] = super_resolution_refs
+
         return (inputs,)
 
     def _collectReferences(self, kwargs):
@@ -91,3 +102,12 @@ class imageInferenceInputs:
             references.append(entry)
 
         return references
+
+    def _collectSuperResolutionReferences(self, kwargs):
+        """Collect and convert super resolution reference images to list (same pattern as referenceImages)"""
+        images = []
+        for i in range(1, self.MAX_SUPER_RESOLUTION_REFERENCE_IMAGES + 1):
+            image = kwargs.get(f"Super Resolution Reference Image {i}", None)
+            if image is not None:
+                images.append(rwUtils.convertTensor2IMG(image))
+        return images