diff --git a/modules/impact/config.py b/modules/impact/config.py
index b64f16c..c453140 100644
--- a/modules/impact/config.py
+++ b/modules/impact/config.py
@@ -1,7 +1,7 @@
 import configparser
 import os
 
-version_code = [8, 5, 1]
+version_code = [8, 5, 2]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 dependency_version = 24
diff --git a/modules/impact/impact_server.py b/modules/impact/impact_server.py
index e6a232d..35d7727 100644
--- a/modules/impact/impact_server.py
+++ b/modules/impact/impact_server.py
@@ -78,9 +78,13 @@ async def sam_prepare(request):
         if data['sam_model_name'] == 'auto':
             model_name = impact.config.get_config()['sam_editor_model']
 
-        model_name = os.path.join(impact_pack.model_path, "sams", model_name)
+        model_path = folder_paths.get_full_path("sams", model_name)
 
-        logging.info(f"[Impact Pack] Loading SAM model '{impact_pack.model_path}'")
+        if model_path is None:
+            logging.error(f"[Impact Pack] The '{model_name}' model file cannot be found in any sams model path.")
+            return web.Response(status=400)
+
+        logging.info(f"[Impact Pack] Loading SAM model '{model_path}'")
 
         filename, image_dir = folder_paths.annotated_filepath(data["filename"])
 
@@ -93,7 +97,7 @@ async def sam_prepare(request):
         if image_dir is None:
             return web.Response(status=400)
 
-        thread = threading.Thread(target=async_prepare_sam, args=(image_dir, model_name, filename,))
+        thread = threading.Thread(target=async_prepare_sam, args=(image_dir, model_path, filename,))
         thread.start()
 
         logging.info("[Impact Pack] SAM model loaded. ")
diff --git a/pyproject.toml b/pyproject.toml
index aeef754..48ec8d8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-pack"
 description = "This node pack offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
-version = "8.5.1"
+version = "8.5.2"
 license = { file = "LICENSE.txt" }
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]