diff --git a/invokeai/app/invocations/flux_denoise.py b/invokeai/app/invocations/flux_denoise.py
index d00f1d415c..ca593994a1 100644
--- a/invokeai/app/invocations/flux_denoise.py
+++ b/invokeai/app/invocations/flux_denoise.py
@@ -20,7 +20,7 @@ from invokeai.app.invocations.fields import (
 from invokeai.app.invocations.model import TransformerField
 from invokeai.app.invocations.primitives import LatentsOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
-from invokeai.backend.flux.controlnet.controlnet_flux import ControlNetFlux
+from invokeai.backend.flux.controlnet.xlabs_controlnet_flux import XLabsControlNetFlux
 from invokeai.backend.flux.controlnet_extension import ControlNetExtension
 from invokeai.backend.flux.denoise import denoise
 from invokeai.backend.flux.inpaint_extension import InpaintExtension
@@ -328,7 +328,7 @@ class FluxDenoiseInvocation(BaseInvocation, WithMetadata, WithBoard):
         controlnet_extensions: list[ControlNetExtension] = []
         for controlnet in controlnets:
             model = exit_stack.enter_context(context.models.load(controlnet.control_model))
-            assert isinstance(model, ControlNetFlux)
+            assert isinstance(model, XLabsControlNetFlux)
             image = context.images.get_pil(controlnet.image.image_name)
 
             controlnet_extensions.append(
diff --git a/invokeai/backend/flux/controlnet/controlnet_flux.py b/invokeai/backend/flux/controlnet/xlabs_controlnet_flux.py
similarity index 99%
rename from invokeai/backend/flux/controlnet/controlnet_flux.py
rename to invokeai/backend/flux/controlnet/xlabs_controlnet_flux.py
index 90553df9a5..00876394ee 100644
--- a/invokeai/backend/flux/controlnet/controlnet_flux.py
+++ b/invokeai/backend/flux/controlnet/xlabs_controlnet_flux.py
@@ -17,7 +17,7 @@ def _zero_module(module: torch.nn.Module) -> torch.nn.Module:
     return module
 
 
-class ControlNetFlux(nn.Module):
+class XLabsControlNetFlux(nn.Module):
     """A ControlNet model for FLUX.
 
     The architecture is very similar to the base FLUX model, with the following differences:
diff --git a/invokeai/backend/flux/controlnet_extension.py b/invokeai/backend/flux/controlnet_extension.py
index 39c71a1883..3b8b37ca36 100644
--- a/invokeai/backend/flux/controlnet_extension.py
+++ b/invokeai/backend/flux/controlnet_extension.py
@@ -6,13 +6,13 @@ from PIL.Image import Image
 
 from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.util.controlnet_utils import CONTROLNET_MODE_VALUES, CONTROLNET_RESIZE_VALUES, prepare_control_image
-from invokeai.backend.flux.controlnet.controlnet_flux import ControlNetFlux
+from invokeai.backend.flux.controlnet.xlabs_controlnet_flux import XLabsControlNetFlux
 
 
 class ControlNetExtension:
     def __init__(
         self,
-        model: ControlNetFlux,
+        model: XLabsControlNetFlux,
         controlnet_cond: torch.Tensor,
         weight: Union[float, List[float]],
         begin_step_percent: float,
@@ -30,7 +30,7 @@ class ControlNetExtension:
     @classmethod
     def from_controlnet_image(
         cls,
-        model: ControlNetFlux,
+        model: XLabsControlNetFlux,
         controlnet_image: Image,
         latent_height: int,
         latent_width: int,
diff --git a/invokeai/backend/model_manager/load/model_loaders/flux.py b/invokeai/backend/model_manager/load/model_loaders/flux.py
index 01e7dd32bd..1b954bdbc3 100644
--- a/invokeai/backend/model_manager/load/model_loaders/flux.py
+++ b/invokeai/backend/model_manager/load/model_loaders/flux.py
@@ -10,7 +10,7 @@ from safetensors.torch import load_file
 from transformers import AutoConfig, AutoModelForTextEncoding, CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5Tokenizer
 
 from invokeai.app.services.config.config_default import get_config
-from invokeai.backend.flux.controlnet.controlnet_flux import ControlNetFlux
+from invokeai.backend.flux.controlnet.xlabs_controlnet_flux import XLabsControlNetFlux
 from invokeai.backend.flux.model import Flux
 from invokeai.backend.flux.modules.autoencoder import AutoEncoder
 from invokeai.backend.flux.util import ae_params, params
@@ -311,7 +311,7 @@ class FluxControlnetModel(ModelLoader):
 
         with accelerate.init_empty_weights():
             # HACK(ryand): Is it safe to assume dev here?
-            model = ControlNetFlux(params["flux-dev"])
+            model = XLabsControlNetFlux(params["flux-dev"])
 
         sd = load_file(model_path)
         model.load_state_dict(sd, assign=True)