diff --git a/facexlib/detection/__init__.py b/facexlib/detection/__init__.py
index f5d34ea..9e3b247 100644
--- a/facexlib/detection/__init__.py
+++ b/facexlib/detection/__init__.py
@@ -1,5 +1,6 @@
 import torch
 from copy import deepcopy
+import os
 
 from facexlib.utils import load_file_from_url
 from .retinaface import RetinaFace
@@ -16,7 +17,7 @@ def init_detection_model(model_name, half=False, device='cuda', model_rootpath=N
         raise NotImplementedError(f'{model_name} is not implemented.')
 
     model_path = load_file_from_url(
-        url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
+        url=model_url, model_dir=f'{os.getcwd()}/src/facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
 
     # TODO: clean pretrained model
     load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
diff --git a/facexlib/parsing/__init__.py b/facexlib/parsing/__init__.py
index 9be36a3..eb4da3f 100644
--- a/facexlib/parsing/__init__.py
+++ b/facexlib/parsing/__init__.py
@@ -3,6 +3,7 @@ import torch
 from facexlib.utils import load_file_from_url
 from .bisenet import BiSeNet
 from .parsenet import ParseNet
+import os
 
 
 def init_parsing_model(model_name='bisenet', half=False, device='cuda', model_rootpath=None):
@@ -16,7 +17,7 @@ def init_parsing_model(model_name='bisenet', half=False, device='cuda', model_ro
         raise NotImplementedError(f'{model_name} is not implemented.')
 
     model_path = load_file_from_url(
-        url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
+        url=model_url, model_dir=f'{os.getcwd()}/src/facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
     load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
     model.load_state_dict(load_net, strict=True)
     model.eval()