diff --git a/deepface/basemodels/DeepID.py b/deepface/basemodels/DeepID.py
index c31bb0e..30f67c1 100644
--- a/deepface/basemodels/DeepID.py
+++ b/deepface/basemodels/DeepID.py
@@ -8,7 +8,7 @@ import zipfile
 
 #-------------------------------------
 
-def loadModel():
+def loadModel(url = 'https://drive.google.com/uc?id=1uRLtBCTQQAvHJ_KVrdbRJiCKxU8m5q2J'):
 	
 	myInput = Input(shape=(55, 47, 3))
 	
@@ -43,7 +43,6 @@ def loadModel():
 	if os.path.isfile(home+'/.deepface/weights/deepid_keras_weights.h5') != True:
 		print("deepid_keras_weights.h5 will be downloaded...")
 		
-		url = 'https://drive.google.com/uc?id=1uRLtBCTQQAvHJ_KVrdbRJiCKxU8m5q2J'
 		output = home+'/.deepface/weights/deepid_keras_weights.h5'
 		gdown.download(url, output, quiet=False)
 		
diff --git a/deepface/basemodels/Facenet.py b/deepface/basemodels/Facenet.py
index 8222191..7a63502 100644
--- a/deepface/basemodels/Facenet.py
+++ b/deepface/basemodels/Facenet.py
@@ -530,7 +530,7 @@ def InceptionResNetV2():
 
 	return model
 
-def loadModel():
+def loadModel(url = 'https://drive.google.com/uc?id=1971Xk5RwedbudGgTIrGAL4F7Aifu7id1'):
 	model = InceptionResNetV2()
 	
 	#-----------------------------------
@@ -540,7 +540,6 @@ def loadModel():
 	if os.path.isfile(home+'/.deepface/weights/facenet_weights.h5') != True:
 		print("facenet_weights.h5 will be downloaded...")
 		
-		url = 'https://drive.google.com/uc?id=1971Xk5RwedbudGgTIrGAL4F7Aifu7id1'
 		output = home+'/.deepface/weights/facenet_weights.h5'
 		gdown.download(url, output, quiet=False)
 	
diff --git a/deepface/basemodels/FbDeepFace.py b/deepface/basemodels/FbDeepFace.py
index 98c0485..6d130da 100644
--- a/deepface/basemodels/FbDeepFace.py
+++ b/deepface/basemodels/FbDeepFace.py
@@ -8,7 +8,7 @@ import zipfile
 
 #-------------------------------------
 
-def loadModel():
+def loadModel(url = 'https://github.com/swghosh/DeepFace/releases/download/weights-vggface2-2d-aligned/VGGFace2_DeepFace_weights_val-0.9034.h5.zip'):
 	base_model = Sequential()
 	base_model.add(Convolution2D(32, (11, 11), activation='relu', name='C1', input_shape=(152, 152, 3)))
 	base_model.add(MaxPooling2D(pool_size=3, strides=2, padding='same', name='M2'))
@@ -28,8 +28,6 @@ def loadModel():
 	if os.path.isfile(home+'/.deepface/weights/VGGFace2_DeepFace_weights_val-0.9034.h5') != True:
 		print("VGGFace2_DeepFace_weights_val-0.9034.h5 will be downloaded...")
 		
-		url = 'https://github.com/swghosh/DeepFace/releases/download/weights-vggface2-2d-aligned/VGGFace2_DeepFace_weights_val-0.9034.h5.zip'
-		
 		output = home+'/.deepface/weights/VGGFace2_DeepFace_weights_val-0.9034.h5.zip'
 		
 		gdown.download(url, output, quiet=False)
diff --git a/deepface/basemodels/OpenFace.py b/deepface/basemodels/OpenFace.py
index c2f3e71..82a4af9 100644
--- a/deepface/basemodels/OpenFace.py
+++ b/deepface/basemodels/OpenFace.py
@@ -15,7 +15,7 @@ from keras import backend as K
 
 #---------------------------------------
 
-def loadModel():
+def loadModel(url = 'https://drive.google.com/uc?id=1LSe1YCV1x-BfNnfb7DFZTNpv_Q9jITxn'):
 	myInput = Input(shape=(96, 96, 3))
 
 	x = ZeroPadding2D(padding=(3, 3), input_shape=(96, 96, 3))(myInput)
@@ -237,7 +237,6 @@ def loadModel():
 	if os.path.isfile(home+'/.deepface/weights/openface_weights.h5') != True:
 		print("openface_weights.h5 will be downloaded...")
 		
-		url = 'https://drive.google.com/uc?id=1LSe1YCV1x-BfNnfb7DFZTNpv_Q9jITxn'
 		output = home+'/.deepface/weights/openface_weights.h5'
 		gdown.download(url, output, quiet=False)
 	
diff --git a/deepface/basemodels/VGGFace.py b/deepface/basemodels/VGGFace.py
index f354526..48d8495 100644
--- a/deepface/basemodels/VGGFace.py
+++ b/deepface/basemodels/VGGFace.py
@@ -54,7 +54,7 @@ def baseModel():
 	
 	return model
 
-def loadModel():
+def loadModel(url = 'https://drive.google.com/uc?id=1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo'):
 	
 	model = baseModel()
 	
@@ -63,9 +63,8 @@ def loadModel():
 	home = str(Path.home())
 	
 	if os.path.isfile(home+'/.deepface/weights/vgg_face_weights.h5') != True:
-		print("vgg_face_weights.h5 will be downloaded...")
+		print("vgg_face_weights.h5 will be downloaded...")		
 		
-		url = 'https://drive.google.com/uc?id=1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo'
 		output = home+'/.deepface/weights/vgg_face_weights.h5'
 		gdown.download(url, output, quiet=False)