diff --git a/invokeai/backend/stable_diffusion/diffusion/custom_atttention.py b/invokeai/backend/stable_diffusion/diffusion/custom_atttention.py
index 1dc4a43b2f..3386c72556 100644
--- a/invokeai/backend/stable_diffusion/diffusion/custom_atttention.py
+++ b/invokeai/backend/stable_diffusion/diffusion/custom_atttention.py
@@ -1,3 +1,4 @@
+from itertools import cycle, islice
 from typing import List, Optional, TypedDict, cast
 
 import torch
@@ -137,12 +138,22 @@ class CustomAttnProcessor2_0(AttnProcessor2_0):
             if self._ip_adapter_attention_weights:
                 assert regional_ip_data is not None
                 ip_masks = regional_ip_data.get_masks(query_seq_len=query_seq_len)
+
+                # Pad weight tensor list to match size of regional embeds
+                self._ip_adapter_attention_weights["ip_adapter_weights"] = list(
+                    islice(
+                        cycle(self._ip_adapter_attention_weights["ip_adapter_weights"]),
+                        len(regional_ip_data.image_prompt_embeds),
+                    )
+                )
+
                 assert (
                     len(regional_ip_data.image_prompt_embeds)
                     == len(self._ip_adapter_attention_weights["ip_adapter_weights"])
                     == len(regional_ip_data.scales)
                     == ip_masks.shape[1]
                 )
+
                 for ipa_index, ipa_embed in enumerate(regional_ip_data.image_prompt_embeds):
                     ipa_weights = self._ip_adapter_attention_weights["ip_adapter_weights"][ipa_index]
                     ipa_scale = regional_ip_data.scales[ipa_index]