diff --git a/py/imagefunc.py b/py/imagefunc.py
index 4b7366c..18fa25a 100644
--- a/py/imagefunc.py
+++ b/py/imagefunc.py
@@ -91,6 +91,14 @@ def load_light_leak_images() -> list:
     file = os.path.join(folder_paths.models_dir, "layerstyle", "light_leak.pkl")
     return load_pickle(file)
 
+def check_and_download_model(model_path, repo_id):
+    model_path = os.path.join(folder_paths.models_dir, model_path)
+
+    if not os.path.exists(model_path):
+        print(f"Downloading {repo_id} model...")
+        from huggingface_hub import snapshot_download
+        snapshot_download(repo_id=repo_id, local_dir=model_path, ignore_patterns=["*.md", "*.txt", "onnx", ".git"])
+
 '''Converter'''
 
 def cv22ski(cv2_image:np.ndarray) -> np.array:
@@ -1518,12 +1526,13 @@ class VITMatteModel:
         self.processor = processor
 
 def load_VITMatte_model(model_name:str, local_files_only:bool=False) -> object:
-    if local_files_only:
-        model_name = Path(os.path.join(folder_paths.models_dir, "vitmatte"))
-    # model_name = Path(os.path.join(folder_paths.models_dir, "vitmatte"))
+    model_name = "vitmatte"
+    model_path = os.path.join(folder_paths.models_dir, model_name)
+    model_repo = "hustvl/vitmatte-small-composition-1k"
+    check_and_download_model(model_name, model_repo)
     from transformers import VitMatteImageProcessor, VitMatteForImageMatting
-    model = VitMatteForImageMatting.from_pretrained(model_name, local_files_only=local_files_only)
-    processor = VitMatteImageProcessor.from_pretrained(model_name, local_files_only=local_files_only)
+    model = VitMatteForImageMatting.from_pretrained(model_path, local_files_only=local_files_only)
+    processor = VitMatteImageProcessor.from_pretrained(model_path, local_files_only=local_files_only)
     vitmatte = VITMatteModel(model, processor)
     return vitmatte