diff --git a/javascript/edit-order.js b/javascript/edit-order.js
index e6e739376..ed4ef9ac3 100644
--- a/javascript/edit-order.js
+++ b/javascript/edit-order.js
@@ -6,11 +6,11 @@ function keyupEditOrder(event) {
     let target = event.originalTarget || event.composedPath()[0];
     if (!target.matches("*:is([id*='_toprow'] [id*='_prompt'], .prompt) textarea")) return;
     if (!event.altKey) return;
-    event.preventDefault();
 
     let isLeft = event.key == "ArrowLeft";
     let isRight = event.key == "ArrowRight";
     if (!isLeft && !isRight) return;
+    event.preventDefault();
 
     let selectionStart = target.selectionStart;
     let selectionEnd = target.selectionEnd;
diff --git a/modules/devices.py b/modules/devices.py
index c5ad950f6..57e51da30 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -54,8 +54,9 @@ def torch_gc():
         with torch.cuda.device(get_cuda_device_string()):
             torch.cuda.empty_cache()
             torch.cuda.ipc_collect()
-    elif has_mps() and hasattr(torch.mps, 'empty_cache'):
-        torch.mps.empty_cache()
+
+    if has_mps():
+        mac_specific.torch_mps_gc()
 
 
 def enable_tf32():
diff --git a/modules/mac_specific.py b/modules/mac_specific.py
index 735847f54..9ceb43bae 100644
--- a/modules/mac_specific.py
+++ b/modules/mac_specific.py
@@ -1,8 +1,12 @@
+import logging
+
 import torch
 import platform
 from modules.sd_hijack_utils import CondFunc
 from packaging import version
 
+log = logging.getLogger(__name__)
+
 
 # before torch version 1.13, has_mps is only available in nightly pytorch and macOS 12.3+,
 # use check `getattr` and try it for compatibility.
@@ -19,9 +23,23 @@ def check_for_mps() -> bool:
             return False
     else:
         return torch.backends.mps.is_available() and torch.backends.mps.is_built()
+
+
 has_mps = check_for_mps()
 
 
+def torch_mps_gc() -> None:
+    try:
+        from modules.shared import state
+        if state.current_latent is not None:
+            log.debug("`current_latent` is set, skipping MPS garbage collection")
+            return
+        from torch.mps import empty_cache
+        empty_cache()
+    except Exception:
+        log.warning("MPS garbage collection failed", exc_info=True)
+
+
 # MPS workaround for https://github.com/pytorch/pytorch/issues/89784
 def cumsum_fix(input, cumsum_func, *args, **kwargs):
     if input.device.type == 'mps':