diff --git a/totalsegmentator/bin/totalseg_download_weights.py b/totalsegmentator/bin/totalseg_download_weights.py
index 18a191ae2..430c0f52d 100644
--- a/totalsegmentator/bin/totalseg_download_weights.py
+++ b/totalsegmentator/bin/totalseg_download_weights.py
@@ -27,7 +27,8 @@ def main():
                                                  "head_glands_cavities", "head_muscles", "headneck_bones_vessels",
                                                  "headneck_muscles", "liver_vessels", "brain_structures",
                                                  "lung_nodules", "kidney_cysts", "breasts",
-                                                 "thigh_shoulder_muscles", "thigh_shoulder_muscles_mr"],
+                                                 "thigh_shoulder_muscles", "thigh_shoulder_muscles_mr",
+                                                 "all"],
                         help="Task for which to download the weights", default="total")
 
     args = parser.parse_args()
@@ -55,9 +56,11 @@ def main():
         "lung_nodules": [913],
         "kidney_cysts": [789],
         "breasts": [527],
+        "oculomotor_muscles": [351],
 
         "heartchambers_highres": [301],
         "appendicular_bones": [304],
+        "appendicular_bones_mr": [855],
         "tissue_types": [481],
         "tissue_types_mr": [854],
         "tissue_4_types": [485],
@@ -72,9 +75,22 @@ def main():
     setup_totalseg()
     set_config_key("statistics_disclaimer_shown", True)
 
-    for task_id in task_to_id[args.task]:
-        print(f"Processing {task_id}...")
-        download_pretrained_weights(task_id)
+    if args.task == "all":
+        # Get unique task IDs from all tasks
+        all_task_ids = set()
+        for task_ids in task_to_id.values():
+            if isinstance(task_ids, list):
+                all_task_ids.update(task_ids)
+            else:
+                all_task_ids.add(task_ids)
+        
+        for task_id in sorted(all_task_ids):
+            print(f"Processing {task_id}...")
+            download_pretrained_weights(task_id)
+    else:
+        for task_id in task_to_id[args.task]:
+            print(f"Processing {task_id}...")
+            download_pretrained_weights(task_id)
 
 
 if __name__ == "__main__":
diff --git a/totalsegmentator/download_pretrained_weights.py b/totalsegmentator/download_pretrained_weights.py
index 885ae3b52..7eb4475a4 100644
--- a/totalsegmentator/download_pretrained_weights.py
+++ b/totalsegmentator/download_pretrained_weights.py
@@ -4,10 +4,10 @@
 
 if __name__ == "__main__":
     """
-    Download all pretrained weights
+    Download all pretrained weights (without commercial models)
     """
     for task_id in [291, 292, 293, 294, 295, 297, 298, 258, 150, 260,
                     315, 299, 300, 850, 851, 852, 853, 775, 776, 777, 778,
-                    779]:
+                    779, 351, 913, 789, 527]:
         download_pretrained_weights(task_id)
         sleep(5)