diff --git a/extras/inpaint_mask.py b/extras/inpaint_mask.py
index 85cd7fc5..71a926d1 100644
--- a/extras/inpaint_mask.py
+++ b/extras/inpaint_mask.py
@@ -5,6 +5,7 @@ from segment_anything import sam_model_registry, SamPredictor
 from segment_anything.utils.amg import remove_small_regions
 
 from extras.GroundingDINO.util.inference import default_groundingdino
+import modules.config
 
 
 class SAMOptions:
@@ -17,7 +18,6 @@ class SAMOptions:
 
                  # SAM
                  max_num_boxes=2,
-                 sam_checkpoint="./models/sam/sam_vit_l_0b3195.pth",
                  model_type="vit_l"
                  ):
         self.dino_prompt = dino_prompt
@@ -25,7 +25,6 @@ class SAMOptions:
         self.dino_text_threshold = dino_text_threshold
         self.box_erode_or_dilate = box_erode_or_dilate
         self.max_num_boxes = max_num_boxes
-        self.sam_checkpoint = sam_checkpoint
         self.model_type = model_type
 
 
@@ -99,7 +98,8 @@ def generate_mask_from_image(image: np.ndarray, mask_model: str = 'sam', extras=
     # TODO add model patcher for model logic and device management
     device = "cuda" if torch.cuda.is_available() else "cpu"
 
-    sam = sam_model_registry[sam_options.model_type](checkpoint=sam_options.sam_checkpoint)
+    sam_checkpoint = modules.config.download_sam_model(sam_options.model_type)
+    sam = sam_model_registry[sam_options.model_type](checkpoint=sam_checkpoint)
     sam.to(device=device)
 
     sam_predictor = SamPredictor(sam)
diff --git a/modules/config.py b/modules/config.py
index d7bd2d31..2833413c 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -202,6 +202,7 @@ path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../mo
 path_safety_checker_models = get_dir_or_set_default('path_safety_checker_models', '../models/safety_checker_models/')
 path_wildcards = get_dir_or_set_default('path_wildcards', '../wildcards/')
 path_safety_checker = get_dir_or_set_default('path_safety_checker', '../models/safety_checker/')
+path_sam = get_dir_or_set_default('path_sam', '../models/sam/')
 path_outputs = get_path_output()
 
 
@@ -789,4 +790,43 @@ def downloading_safety_checker_model():
     return os.path.join(path_safety_checker, 'stable-diffusion-safety-checker.bin')
 
 
+def download_sam_model(sam_model: str) -> str:
+    match sam_model:
+        case 'default', 'vit_b':
+            return downloading_sam_vit_b()
+        case 'vit_l':
+            return downloading_sam_vit_l()
+        case 'vit_h':
+            return downloading_sam_vit_h()
+        case _:
+            raise ValueError(f"sam model {sam_model} does not exist.")
+
+
+def downloading_sam_vit_b():
+    load_file_from_url(
+        url='https://huggingface.co/mashb1t/misc/resolve/main/sam_vit_b_01ec64.pth',
+        model_dir=path_sam,
+        file_name='sam_vit_b_01ec64.pth'
+    )
+    return os.path.join(path_sam, 'sam_vit_b_01ec64.pth')
+
+
+def downloading_sam_vit_l():
+    load_file_from_url(
+        url='https://huggingface.co/mashb1t/misc/resolve/main/sam_vit_l_0b3195.pth',
+        model_dir=path_sam,
+        file_name='sam_vit_l_0b3195.pth'
+    )
+    return os.path.join(path_sam, 'sam_vit_l_0b3195.pth')
+
+
+def downloading_sam_vit_h():
+    load_file_from_url(
+        url='https://huggingface.co/mashb1t/misc/resolve/main/sam_vit_h_4b8939.pth',
+        model_dir=path_sam,
+        file_name='sam_vit_h_4b8939.pth'
+    )
+    return os.path.join(path_sam, 'sam_vit_h_4b8939.pth')
+
+
 update_files()
diff --git a/webui.py b/webui.py
index 0d8e2396..a194b4c4 100644
--- a/webui.py
+++ b/webui.py
@@ -245,8 +245,7 @@ with shared.gradio_root:
                                             dino_text_threshold=text_threshold,
                                             box_erode_or_dilate=dino_erode_or_dilate,
                                             max_num_boxes=2, #TODO replace with actual value
-                                            sam_checkpoint="./models/sam/sam_vit_l_0b3195.pth", # TODO replace with actual value
-                                            model_type="vit_l"
+                                            model_type=sam_model
                                         )
 
                                     return generate_mask_from_image(image, mask_model, extras, sam_options)