diff --git a/invokeai/backend/model_manager/probe.py b/invokeai/backend/model_manager/probe.py
index c7f3062aa3..46f510de6e 100644
--- a/invokeai/backend/model_manager/probe.py
+++ b/invokeai/backend/model_manager/probe.py
@@ -462,8 +462,9 @@ MODEL_NAME_TO_PREPROCESSOR = {
     "normal": "normalbae_image_processor",
     "sketch": "pidi_image_processor",
     "scribble": "lineart_image_processor",
-    "lineart": "lineart_image_processor",
+    "lineart anime": "lineart_anime_image_processor",
     "lineart_anime": "lineart_anime_image_processor",
+    "lineart": "lineart_image_processor",
     "softedge": "hed_image_processor",
     "hed": "hed_image_processor",
     "shuffle": "content_shuffle_image_processor",
diff --git a/invokeai/backend/model_manager/starter_models.py b/invokeai/backend/model_manager/starter_models.py
index bd55e27db7..182d069cc5 100644
--- a/invokeai/backend/model_manager/starter_models.py
+++ b/invokeai/backend/model_manager/starter_models.py
@@ -323,7 +323,7 @@ inpaint_cnet_sd1 = StarterModel(
     previous_names=["inpaint"],
 )
 mlsd_sd1 = StarterModel(
-    name="Line Drawing",
+    name="Line Drawing (mlsd)",
     base=BaseModelType.StableDiffusion1,
     source="lllyasviel/control_v11p_sd15_mlsd",
     description="Uses straight line detection for controlling the generation.",
@@ -387,7 +387,7 @@ scribble_sd1 = StarterModel(
     previous_names=["scribble"],
 )
 softedge_sd1 = StarterModel(
-    name="Soft Edge Detection",
+    name="Soft Edge Detection (softedge)",
     base=BaseModelType.StableDiffusion1,
     source="lllyasviel/control_v11p_sd15_softedge",
     description="Uses a soft edge detection map to control composition.",
@@ -395,7 +395,7 @@ softedge_sd1 = StarterModel(
     previous_names=["softedge"],
 )
 shuffle_sd1 = StarterModel(
-    name="Remix",
+    name="Remix (shuffle)",
     base=BaseModelType.StableDiffusion1,
     source="lllyasviel/control_v11e_sd15_shuffle",
     description="ControlNet weights trained on sd-1.5 with shuffle image conditioning",
@@ -427,7 +427,7 @@ depth_sdxl = StarterModel(
     previous_names=["depth-sdxl"],
 )
 softedge_sdxl = StarterModel(
-    name="Soft Edge Detection",
+    name="Soft Edge Detection (softedge)",
     base=BaseModelType.StableDiffusionXL,
     source="SargeZT/controlNet-sd-xl-1.0-softedge-dexined",
     description="Uses a soft edge detection map to control composition.",