Add a conditioning concat node.

nodes.py

@@ -102,6 +102,34 @@ class ConditioningAverage :
             out.append(n)
         return (out, )
 
+class ConditioningConcat:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "conditioning_to": ("CONDITIONING",),
+            "conditioning_from": ("CONDITIONING",),
+            }}
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "concat"
+
+    CATEGORY = "advanced/conditioning"
+
+    def concat(self, conditioning_to, conditioning_from):
+        out = []
+
+        if len(conditioning_from) > 1:
+            print("Warning: ConditioningConcat conditioning_from contains more than 1 cond, only the first one will actually be applied to conditioning_to.")
+
+        cond_from = conditioning_from[0][0]
+
+        for i in range(len(conditioning_to)):
+            t1 = conditioning_to[i][0]
+            tw = torch.cat((t1, cond_from),1)
+            n = [tw, conditioning_to[i][1].copy()]
+            out.append(n)
+
+        return (out, )
+
 class ConditioningSetArea:
     @classmethod
     def INPUT_TYPES(s):
@@ -1409,6 +1437,7 @@ NODE_CLASS_MAPPINGS = {
     "SaveLatent": SaveLatent,
 
     "ConditioningZeroOut": ConditioningZeroOut,
+    "ConditioningConcat": ConditioningConcat,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {