diff --git a/fawkes/__init__.py b/fawkes/__init__.py
index df6aac8..01feb9c 100644
--- a/fawkes/__init__.py
+++ b/fawkes/__init__.py
@@ -4,7 +4,7 @@
 # @Link    : https://www.shawnshan.com/
 
 
-__version__ = '0.0.6'
+__version__ = '0.0.8'
 
 from .detect_faces import create_mtcnn, run_detect_face
 from .differentiator import FawkesMaskGeneration
diff --git a/fawkes/protection.py b/fawkes/protection.py
index 7313f1a..dc78141 100644
--- a/fawkes/protection.py
+++ b/fawkes/protection.py
@@ -19,6 +19,7 @@ from fawkes.differentiator import FawkesMaskGeneration
 from fawkes.utils import load_extractor, init_gpu, select_target_label, dump_image, reverse_process_cloaked, \
     Faces
 from fawkes.align_face import aligner
+from fawkes.utils import get_file
 random.seed(12243)
 np.random.seed(122412)
 
@@ -61,6 +62,13 @@ class Fawkes(object):
         self.gpu = gpu
         self.batch_size = batch_size
         self.sess = init_gpu(gpu)
+
+        model_dir = os.path.join(os.path.expanduser('~'), '.fawkes')
+        if not os.path.exists(os.path.join(model_dir, "mtcnn.p.gz")):
+            os.makedirs(model_dir, exist_ok=True)
+            get_file("mtcnn.p.gz", "http://sandlab.cs.uchicago.edu/fawkes/files/mtcnn.p.gz", cache_dir=model_dir,
+                     cache_subdir='')
+
         self.aligner = aligner(self.sess)
         self.fs_names = [feature_extractor]
         if isinstance(feature_extractor, list):
@@ -76,7 +84,7 @@ class Fawkes(object):
         elif mode == 'mid':
             th = 0.005
             max_step = 100
-            lr = 30
+            lr = 20
         elif mode == 'high':
             th = 0.008
             max_step = 200
diff --git a/fawkes/utils.py b/fawkes/utils.py
index a88b36e..5a211b4 100644
--- a/fawkes/utils.py
+++ b/fawkes/utils.py
@@ -55,7 +55,6 @@ if sys.version_info[0] == 2:
 else:
     from six.moves.urllib.request import urlretrieve
 
-
 def clip_img(X, preprocessing='raw'):
     X = reverse_preprocess(X, preprocessing)
     X = np.clip(X, 0.0, 255.0)
@@ -92,11 +91,6 @@ def load_image(path):
 
 class Faces(object):
     def __init__(self, image_paths, aligner, verbose=1, eval_local=False):
-        model_dir = os.path.join(os.path.expanduser('~'), '.fawkes')
-        if not os.path.exists(os.path.join(model_dir, "mtcnn.p.gz")):
-            os.makedirs(model_dir, exist_ok=True)
-            get_file("mtcnn.p.gz", "http://sandlab.cs.uchicago.edu/fawkes/files/mtcnn.p.gz", cache_dir=model_dir,
-                     cache_subdir='')
 
         self.verbose = verbose
         self.aligner = aligner
@@ -366,13 +360,6 @@ def load_extractor(name):
     if hasattr(model.layers[-1], "activation") and model.layers[-1].activation == "softmax":
         raise Exception(
             "Given extractor's last layer is softmax, need to remove the top layers to make it into a feature extractor")
-    # if "extract" in name.split("/")[-1]:
-    #     pass
-    # else:
-    #     print("Convert a model to a feature extractor")
-    #     model = build_bottleneck_model(model, model.layers[layer_idx].name)
-    #     model.save(name + "extract")
-    #     model = keras.models.load_model(name + "extract")
     return model
 
 
@@ -524,13 +511,13 @@ def get_file(fname,
              archive_format='auto',
              cache_dir=None):
     if cache_dir is None:
-        cache_dir = os.path.join(os.path.expanduser('~'), '.keras')
+        cache_dir = os.path.join(os.path.expanduser('~'), '.fawkes')
     if md5_hash is not None and file_hash is None:
         file_hash = md5_hash
         hash_algorithm = 'md5'
     datadir_base = os.path.expanduser(cache_dir)
     if not os.access(datadir_base, os.W_OK):
-        datadir_base = os.path.join('/tmp', '.keras')
+        datadir_base = os.path.join('/tmp', '.fawkes')
     datadir = os.path.join(datadir_base, cache_subdir)
     _makedirs_exist_ok(datadir)
 
diff --git a/setup.py b/setup.py
index 09435f5..ed83cfa 100644
--- a/setup.py
+++ b/setup.py
@@ -77,11 +77,12 @@ setup_requires = []
 install_requires = [
     'numpy==1.16.4',
     # 'tensorflow-gpu>=1.13.1, <=1.14.0',
-    'tensorflow>=1.11.1, <=1.14.0',
+    'tensorflow>=1.12.0, <=1.15.0',
     'argparse',
-    'keras==2.2.5',
+    'keras>=2.2.5, <=2.3.1',
     'scikit-image',
     'pillow>=7.0.0',
+    'bleach>=2.1.0'
 ]
 
 setup(