diff --git a/invokeai/backend/model_manager/probe.py b/invokeai/backend/model_manager/probe.py
index 2f18f1a8a6..ce68b1e902 100644
--- a/invokeai/backend/model_manager/probe.py
+++ b/invokeai/backend/model_manager/probe.py
@@ -221,17 +221,17 @@ class ModelProbe(object):
         ckpt = ckpt.get("state_dict", ckpt)
 
         for key in [str(k) for k in ckpt.keys()]:
-            if any(key.startswith(v) for v in {"cond_stage_model.", "first_stage_model.", "model.diffusion_model."}):
+            if key.startswith(("cond_stage_model.", "first_stage_model.", "model.diffusion_model.")):
                 return ModelType.Main
-            elif any(key.startswith(v) for v in {"encoder.conv_in", "decoder.conv_in"}):
+            elif key.startswith(("encoder.conv_in", "decoder.conv_in")):
                 return ModelType.VAE
-            elif any(key.startswith(v) for v in {"lora_te_", "lora_unet_"}):
+            elif key.startswith(("lora_te_", "lora_unet_")):
                 return ModelType.LoRA
-            elif any(key.endswith(v) for v in {"to_k_lora.up.weight", "to_q_lora.down.weight"}):
+            elif key.endswith(("to_k_lora.up.weight", "to_q_lora.down.weight")):
                 return ModelType.LoRA
-            elif any(key.startswith(v) for v in {"controlnet", "control_model", "input_blocks"}):
+            elif key.startswith(("controlnet", "control_model", "input_blocks")):
                 return ModelType.ControlNet
-            elif any(key.startswith(v) for v in {"image_proj.", "ip_adapter."}):
+            elif key.startswith(("image_proj.", "ip_adapter.")):
                 return ModelType.IPAdapter
             elif key in {"emb_params", "string_to_param"}:
                 return ModelType.TextualInversion