diff --git a/ammico/test/test_multimodal_search.py b/ammico/test/test_multimodal_search.py
index 4ba0733..e3ae791 100644
--- a/ammico/test/test_multimodal_search.py
+++ b/ammico/test/test_multimodal_search.py
@@ -354,6 +354,7 @@ def test_parsing_images(
     tmp_path,
 ):
     ms.MultimodalSearch.multimodal_device = pre_multimodal_device
+    my_obj = ms.MultimodalSearch(get_testdict)
     (
         model,
         vis_processor,
@@ -361,9 +362,7 @@ def test_parsing_images(
         image_keys,
         _,
         features_image_stacked,
-    ) = ms.MultimodalSearch.parsing_images(
-        get_testdict, pre_model, path_to_saved_tensors=tmp_path
-    )
+    ) = my_obj.parsing_images(pre_model, path_to_save_tensors=tmp_path)
 
     for i, num in zip(range(10), features_image_stacked[0, 10:12].tolist()):
         assert (
@@ -371,7 +370,7 @@ def test_parsing_images(
             is True
         )
 
-    test_pic = Image.open(get_testdict["IMG_2746"]["filename"]).convert("RGB")
+    test_pic = Image.open(my_obj.subdict["IMG_2746"]["filename"]).convert("RGB")
     test_querry = (
         "The bird sat on a tree located at the intersection of 23rd and 43rd streets."
     )
@@ -387,10 +386,10 @@ def test_parsing_images(
 
     search_query = [
         {"text_input": test_querry},
-        {"image": get_testdict["IMG_2746"]["filename"]},
+        {"image": my_obj.subdict["IMG_2746"]["filename"]},
     ]
-    multi_features_stacked = ms.MultimodalSearch.querys_processing(
-        get_testdict, search_query, model, txt_processor, vis_processor, pre_model
+    multi_features_stacked = my_obj.querys_processing(
+        search_query, model, txt_processor, vis_processor, pre_model
     )
 
     for i, num in zip(range(10), multi_features_stacked[0, 10:12].tolist()):
@@ -410,8 +409,7 @@ def test_parsing_images(
         {"image": get_path + "IMG_3758.png"},
     ]
 
-    similarity, sorted_list = ms.MultimodalSearch.multimodal_search(
-        get_testdict,
+    similarity, sorted_list = my_obj.multimodal_search(
         model,
         vis_processor,
         txt_processor,
@@ -440,6 +438,7 @@ def test_parsing_images(
         features_image_stacked,
         processed_pic,
         multi_features_stacked,
+        my_obj,
     )
     cuda.empty_cache()
 
@@ -452,12 +451,12 @@ def test_itm(get_test_my_dict, get_path):
     ]
     image_keys = ["IMG_2746", "IMG_2809"]
     sorted_list = [[1, 0], [1, 0]]
+    my_obj = ms.MultimodalSearch(get_test_my_dict)
     for itm_model in ["blip_base", "blip_large"]:
         (
             itm_scores,
             image_gradcam_with_itm,
-        ) = ms.MultimodalSearch.image_text_match_reordering(
-            get_test_my_dict,
+        ) = my_obj.image_text_match_reordering(
             search_query3,
             itm_model,
             image_keys,
@@ -497,12 +496,12 @@ def test_itm_blip2_coco(get_test_my_dict, get_path):
     ]
     image_keys = ["IMG_2746", "IMG_2809"]
     sorted_list = [[1, 0], [1, 0]]
+    my_obj = ms.MultimodalSearch(get_test_my_dict)
 
     (
         itm_scores,
         image_gradcam_with_itm,
-    ) = ms.MultimodalSearch.image_text_match_reordering(
-        get_test_my_dict,
+    ) = my_obj.image_text_match_reordering(
         search_query3,
         "blip2_coco",
         image_keys,