diff --git a/invokeai/app/invocations/constants.py b/invokeai/app/invocations/constants.py
new file mode 100644
index 0000000000..95b16f0d05
--- /dev/null
+++ b/invokeai/app/invocations/constants.py
@@ -0,0 +1,7 @@
+LATENT_SCALE_FACTOR = 8
+"""
+HACK: Many nodes are currently hard-coded to use a fixed latent scale factor of 8. This is fragile, and will need to
+be addressed if future models use a different latent scale factor. Also, note that there may be places where the scale
+factor is hard-coded to a literal '8' rather than using this constant.
+The ratio of image:latent dimensions is LATENT_SCALE_FACTOR:1, or 8:1.
+"""
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 4137ab6e2f..fedfc38402 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -23,6 +23,7 @@ from diffusers.schedulers import SchedulerMixin as Scheduler
 from pydantic import field_validator
 from torchvision.transforms.functional import resize as tv_resize
 
+from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.invocations.fields import (
     ConditioningField,
     DenoiseMaskField,
@@ -79,12 +80,6 @@ DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 SAMPLER_NAME_VALUES = Literal[tuple(SCHEDULER_MAP.keys())]
 
-# HACK: Many nodes are currently hard-coded to use a fixed latent scale factor of 8. This is fragile, and will need to
-# be addressed if future models use a different latent scale factor. Also, note that there may be places where the scale
-# factor is hard-coded to a literal '8' rather than using this constant.
-# The ratio of image:latent dimensions is LATENT_SCALE_FACTOR:1, or 8:1.
-LATENT_SCALE_FACTOR = 8
-
 
 @invocation_output("scheduler_output")
 class SchedulerOutput(BaseInvocationOutput):
diff --git a/invokeai/backend/tiles/tiles.py b/invokeai/backend/tiles/tiles.py
index 3c400fc87c..2757dadba2 100644
--- a/invokeai/backend/tiles/tiles.py
+++ b/invokeai/backend/tiles/tiles.py
@@ -3,7 +3,7 @@ from typing import Union
 
 import numpy as np
 
-from invokeai.app.invocations.latent import LATENT_SCALE_FACTOR
+from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.backend.tiles.utils import TBLR, Tile, paste, seam_blend