diff --git a/setup.py b/setup.py
index c02de2e..faae5d1 100644
--- a/setup.py
+++ b/setup.py
@@ -26,7 +26,7 @@
 setup(
     name='textgenrnn',
     packages=['textgenrnn'],  # this must be the same as the name above
-    version='1.4',
+    version='1.4.1',
     description='Easily train your own text-generating neural network ' \
     'of any size and complexity',
     long_description=long_description,
diff --git a/textgenrnn/textgenrnn.py b/textgenrnn/textgenrnn.py
index 83a9f44..eb9e09c 100644
--- a/textgenrnn/textgenrnn.py
+++ b/textgenrnn/textgenrnn.py
@@ -59,7 +59,7 @@ def __init__(self, weights_path=None,
                   encoding='utf8', errors='ignore') as json_file:
             self.vocab = json.load(json_file)
 
-        self.tokenizer = Tokenizer(filters='', char_level=True)
+        self.tokenizer = Tokenizer(filters='', lower=False, char_level=True)
         self.tokenizer.word_index = self.vocab
         self.num_classes = len(self.vocab) + 1
         self.model = textgenrnn_model(self.num_classes,
@@ -248,7 +248,9 @@ def train_new_model(self, texts, context_labels=None, num_epochs=50,
                 texts[i] = re.sub(' {2,}', ' ', texts[i])
 
         # Create text vocabulary for new texts
+        # if word-level, lowercase; if char-level, uppercase
         self.tokenizer = Tokenizer(filters='',
+                                   lower=self.config['word_level'],
                                    char_level=(not self.config['word_level']))
         self.tokenizer.fit_on_texts(texts)