diff --git a/extras/GroundingDINO/config/GroundingDINO_SwinB_cfg.py b/extras/GroundingDINO/config/GroundingDINO_SwinB_cfg.py
deleted file mode 100644
index bc2788a8..00000000
--- a/extras/GroundingDINO/config/GroundingDINO_SwinB_cfg.py
+++ /dev/null
@@ -1,43 +0,0 @@
-batch_size = 1
-modelname = "groundingdino"
-backbone = "swin_B_384_22k"
-position_embedding = "sine"
-pe_temperatureH = 20
-pe_temperatureW = 20
-return_interm_indices = [1, 2, 3]
-backbone_freeze_keywords = None
-enc_layers = 6
-dec_layers = 6
-pre_norm = False
-dim_feedforward = 2048
-hidden_dim = 256
-dropout = 0.0
-nheads = 8
-num_queries = 900
-query_dim = 4
-num_patterns = 0
-num_feature_levels = 4
-enc_n_points = 4
-dec_n_points = 4
-two_stage_type = "standard"
-two_stage_bbox_embed_share = False
-two_stage_class_embed_share = False
-transformer_activation = "relu"
-dec_pred_bbox_embed_share = True
-dn_box_noise_scale = 1.0
-dn_label_noise_ratio = 0.5
-dn_label_coef = 1.0
-dn_bbox_coef = 1.0
-embed_init_tgt = True
-dn_labelbook_size = 2000
-max_text_len = 256
-text_encoder_type = "bert-base-uncased"
-use_text_enhancer = True
-use_fusion_layer = True
-use_checkpoint = True
-use_transformer_ckpt = True
-use_text_cross_attention = True
-text_dropout = 0.0
-fusion_dropout = 0.0
-fusion_droppath = 0.1
-sub_sentence_present = True
\ No newline at end of file
diff --git a/extras/GroundingDINO/util/inference.py b/extras/GroundingDINO/util/inference.py
index 11e1a77c..bc8b6429 100644
--- a/extras/GroundingDINO/util/inference.py
+++ b/extras/GroundingDINO/util/inference.py
@@ -14,7 +14,7 @@ from groundingdino.util.inference import load_model, preprocess_caption, get_phr
 
 class GroundingDinoModel(Model):
     def __init__(self):
-        self.config_file = 'extras/GroundingDINO/config/GroundingDINO_SwinB_cfg.py'
+        self.config_file = 'extras/GroundingDINO/config/GroundingDINO_SwinT_OGC.py'
         self.model = None
         self.load_device = torch.device('cpu')
         self.offload_device = torch.device('cpu')
@@ -28,8 +28,8 @@ class GroundingDinoModel(Model):
     ) -> Tuple[sv.Detections, torch.Tensor, torch.Tensor, List[str]]:
         if self.model is None:
             filename = load_file_from_url(
-                url="https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha2/groundingdino_swinb_cogcoor.pth",
-                file_name='groundingdino_swinb_cogcoor.pth',
+                url="https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth",
+                file_name='groundingdino_swint_ogc.pth',
                 model_dir=path_inpaint)
             model = load_model(model_config_path=self.config_file, model_checkpoint_path=filename)