diff --git a/invokeai/backend/model_manager/util/select_hf_files.py b/invokeai/backend/model_manager/util/select_hf_files.py
index 4a63ab27b7..325a11882c 100644
--- a/invokeai/backend/model_manager/util/select_hf_files.py
+++ b/invokeai/backend/model_manager/util/select_hf_files.py
@@ -35,6 +35,16 @@ def filter_files(
     The file list can be obtained from the `files` field of HuggingFaceMetadata,
     as defined in `invokeai.backend.model_manager.metadata.metadata_base`.
     """
+
+    # BRITTLENESS WARNING!!
+    # The following pattern is designed to match model files that are components of diffusers submodels,
+    # but not to match other random stuff found in huggingface repos.
+    # Diffusers models always seem to have "model" in their name, and the regex filter below is applied to avoid
+    # downloading random checkpoints that might also be in the repo. However there is no guarantee
+    # that a checkpoint doesn't contain "model" in its name, and no guarantee that future diffusers models
+    # will adhere to this naming convention, so this is an area to be careful of.
+    DIFFUSERS_COMPONENT_PATTERN = r"model(-\d+-of-\d+)?(\.[^.]+)?\.(safetensors|bin|onnx|xml|pth|pt|ckpt|msgpack)$"
+
     variant = variant or ModelRepoVariant.Default
     paths: List[Path] = []
     root = files[0].parts[0]
@@ -45,24 +55,20 @@ def filter_files(
 
     # Start by filtering on model file extensions, discarding images, docs, etc
     for file in files:
-        if file.name.endswith((".json", ".txt")):
-            paths.append(file)
-        elif file.name.endswith(
+        if file.name.endswith(
             (
+                ".json",
+                ".txt",
                 "learned_embeds.bin",
                 "ip_adapter.bin",
                 "lora_weights.safetensors",
                 "weights.pb",
                 "onnx_data",
+                "spiece.model",
             )
         ):
             paths.append(file)
-        # BRITTLENESS WARNING!!
-        # Diffusers models always seem to have "model" in their name, and the regex filter below is applied to avoid
-        # downloading random checkpoints that might also be in the repo. However there is no guarantee
-        # that a checkpoint doesn't contain "model" in its name, and no guarantee that future diffusers models
-        # will adhere to this naming convention, so this is an area to be careful of.
-        elif re.search(r"model(\.[^.]+)?\.(safetensors|bin|onnx|xml|pth|pt|ckpt|msgpack)$", file.name):
+        elif re.search(DIFFUSERS_COMPONENT_PATTERN, file.name):
             paths.append(file)
 
     # limit search to subfolder if requested