diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index fb3855f8ed..711101ad97 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -803,7 +803,7 @@ class GraphExecutionState(BaseModel):
     # TODO: Store a reference to the graph instead of the actual graph?
     graph: Graph = Field(description="The graph being executed")
 
-    batch_index: list[int] = Field(description="Tracker for which batch is currently being processed", default_factory=list)
+    batch_indices: list[int] = Field(description="Tracker for which batch is currently being processed", default_factory=list)
 
     # The graph of materialized nodes
     execution_graph: Graph = Field(
@@ -877,11 +877,11 @@ class GraphExecutionState(BaseModel):
         if next_node is not None:
             self._prepare_inputs(next_node)
 
-        if sum(self.batch_index) != 0:
-            for index in self.batch_index:
-                if self.batch_index[index] > 0:
+        if sum(self.batch_indices) != 0:
+            for index in self.batch_indices:
+                if self.batch_indices[index] > 0:
                     self.executed.clear()
-                    self.batch_index[index] -= 1
+                    self.batch_indices[index] -= 1
                     return next(self)
 
         # If next is still none, there's no next node, return None
diff --git a/invokeai/app/services/invoker.py b/invokeai/app/services/invoker.py
index 3092b15cd3..340aeceadf 100644
--- a/invokeai/app/services/invoker.py
+++ b/invokeai/app/services/invoker.py
@@ -28,7 +28,7 @@ class Invoker:
         (index, batch) = next(((i,b) for i,b in enumerate(graph_execution_state.graph.batches) if b.node_id in invocation.id), (None, None))
         if batch:
             # assert(isinstance(invocation.type, batch.node_type), f"Type mismatch between nodes and batch config on {invocation.id}")
-            batch_index = graph_execution_state.batch_index[index]
+            batch_index = graph_execution_state.batch_indices[index]
             datum = batch.data[batch_index]
             for param in datum.keys():
                 invocation[param] = datum[param]