diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index bc79efdeba..8ad1684bcb 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -14,12 +14,10 @@ from diffusers import AutoencoderKL, AutoencoderTiny
 from diffusers.configuration_utils import ConfigMixin
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.models.adapter import T2IAdapter
-from diffusers.models.attention_processor import (
-    AttnProcessor2_0,
-    LoRAAttnProcessor2_0,
-    LoRAXFormersAttnProcessor,
-    XFormersAttnProcessor,
-)
+from diffusers.models.attention_processor import (AttnProcessor2_0,
+                                                  LoRAAttnProcessor2_0,
+                                                  LoRAXFormersAttnProcessor,
+                                                  XFormersAttnProcessor)
 from diffusers.models.unets.unet_2d_condition import UNet2DConditionModel
 from diffusers.schedulers import DPMSolverSDEScheduler
 from diffusers.schedulers import SchedulerMixin as Scheduler
@@ -28,26 +26,17 @@ from pydantic import field_validator
 from torchvision.transforms.functional import resize as tv_resize
 from transformers import CLIPVisionModelWithProjection
 
-from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR, SCHEDULER_NAME_VALUES
-from invokeai.app.invocations.fields import (
-    ConditioningField,
-    DenoiseMaskField,
-    FieldDescriptions,
-    ImageField,
-    Input,
-    InputField,
-    LatentsField,
-    OutputField,
-    UIType,
-    WithBoard,
-    WithMetadata,
-)
+from invokeai.app.invocations.constants import (LATENT_SCALE_FACTOR,
+                                                SCHEDULER_NAME_VALUES)
+from invokeai.app.invocations.fields import (ConditioningField,
+                                             DenoiseMaskField,
+                                             FieldDescriptions, ImageField,
+                                             Input, InputField, LatentsField,
+                                             OutputField, UIType, WithBoard,
+                                             WithMetadata)
 from invokeai.app.invocations.ip_adapter import IPAdapterField
-from invokeai.app.invocations.primitives import (
-    DenoiseMaskOutput,
-    ImageOutput,
-    LatentsOutput,
-)
+from invokeai.app.invocations.primitives import (DenoiseMaskOutput,
+                                                 ImageOutput, LatentsOutput)
 from invokeai.app.invocations.t2i_adapter import T2IAdapterField
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.app.util.controlnet_utils import prepare_control_image
@@ -55,25 +44,19 @@ from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
 from invokeai.backend.lora import LoRAModelRaw
 from invokeai.backend.model_manager import BaseModelType, LoadedModel
 from invokeai.backend.model_patcher import ModelPatcher
-from invokeai.backend.stable_diffusion import PipelineIntermediateState, set_seamless
-from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData, IPAdapterConditioningInfo
+from invokeai.backend.stable_diffusion import (PipelineIntermediateState,
+                                               set_seamless)
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
+    ConditioningData, IPAdapterConditioningInfo)
 from invokeai.backend.util.silence_warnings import SilenceWarnings
 
 from ...backend.stable_diffusion.diffusers_pipeline import (
-    ControlNetData,
-    IPAdapterData,
-    StableDiffusionGeneratorPipeline,
-    T2IAdapterData,
-    image_resized_to_grid_as_tensor,
-)
+    ControlNetData, IPAdapterData, StableDiffusionGeneratorPipeline,
+    T2IAdapterData, image_resized_to_grid_as_tensor)
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    invocation,
-    invocation_output,
-)
+from .baseinvocation import (BaseInvocation, BaseInvocationOutput, invocation,
+                             invocation_output)
 from .controlnet_image_processors import ControlField
 from .model import ModelIdentifierField, UNetField, VAEField
 
diff --git a/invokeai/backend/model_manager/probe.py b/invokeai/backend/model_manager/probe.py
index ed73fc56c6..bd47cc1a48 100644
--- a/invokeai/backend/model_manager/probe.py
+++ b/invokeai/backend/model_manager/probe.py
@@ -535,7 +535,18 @@ class IPAdapterCheckpointProbe(CheckpointProbeBase):
         for key in checkpoint.keys():
             if not key.startswith(("image_proj.", "ip_adapter.")):
                 continue
-            return BaseModelType.StableDiffusionXL
+            cross_attention_dim = checkpoint["ip_adapter.1.to_k_ip.weight"].shape[-1]
+            print(cross_attention_dim)
+            if cross_attention_dim == 768:
+                return BaseModelType.StableDiffusion1
+            elif cross_attention_dim == 1024:
+                return BaseModelType.StableDiffusion2
+            elif cross_attention_dim == 2048:
+                return BaseModelType.StableDiffusionXL
+            else:
+                raise InvalidModelConfigException(
+                    f"IP-Adapter had unexpected cross-attention dimension: {cross_attention_dim}."
+                )
         raise InvalidModelConfigException(f"{self.model_path}: Unable to determine base type")