diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py
index 87275f0e1f..513e84d66d 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/default_graphs.py
@@ -29,8 +29,7 @@ def create_text_to_image() -> LibraryGraph:
                 Edge(source=EdgeConnection(node_id='seed', field='a'), destination=EdgeConnection(node_id='3', field='seed')),
                 Edge(source=EdgeConnection(node_id='3', field='noise'), destination=EdgeConnection(node_id='5', field='noise')),
                 Edge(source=EdgeConnection(node_id='5', field='latents'), destination=EdgeConnection(node_id='6', field='latents')),
-                Edge(source=EdgeConnection(node_id='4', field='positive'), destination=EdgeConnection(node_id='5', field='positive')),
-                Edge(source=EdgeConnection(node_id='4', field='negative'), destination=EdgeConnection(node_id='5', field='negative')),
+                Edge(source=EdgeConnection(node_id='4', field='conditioning'), destination=EdgeConnection(node_id='5', field='conditioning')),
             ]
         ),
         exposed_inputs=[
diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index c7693b59c9..293de421c2 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -463,16 +463,16 @@ def test_graph_subgraph_t2i():
     
     n4 = ShowImageInvocation(id = "4")
     g.add_node(n4)
-    g.add_edge(create_edge("1.5","image","4","image"))
+    g.add_edge(create_edge("1.6","image","4","image"))
 
     # Validate
     dg = g.nx_graph_flat()
-    assert set(dg.nodes) == set(['1.width', '1.height', '1.3', '1.4', '1.5', '2', '3', '4'])
+    assert set(dg.nodes) == set(['1.width', '1.height', '1.seed', '1.3', '1.4', '1.5', '1.6', '2', '3', '4'])
     expected_edges = [(f'1.{e.source.node_id}',f'1.{e.destination.node_id}') for e in lg.graph.edges]
     expected_edges.extend([
         ('2','1.width'),
         ('3','1.height'),
-        ('1.5','4')
+        ('1.6','4')
     ])
     print(expected_edges)
     print(list(dg.edges))