diff --git a/inferno_apps/TalkingHead/README.md b/inferno_apps/TalkingHead/README.md
index 113fc110..fac9b8e1 100644
--- a/inferno_apps/TalkingHead/README.md
+++ b/inferno_apps/TalkingHead/README.md
@@ -38,6 +38,9 @@
 This is the official implementation of [EMOTE : Emotional Speech-Driven Animation with Copntent-Emotion Disentanglement](https://emote.is.tue.mpg.de/). 
 EMOTE takes speech audio and an emotion and intensity labels on the input and produces a talking head avatar that correctly articulates the words spoken in the audio while expressing the specified emotion.
 
+## News 
+- (13th Dec. 2023) EMOTE v2 is now out! It is trained on a newer iteration of the data and should give better results overall. EMOTE v1 is still available. Please see the demo script for details.
+
 
 ## Installation 
 
diff --git a/inferno_apps/TalkingHead/demos/demo_eval_talking_head_on_audio.py b/inferno_apps/TalkingHead/demos/demo_eval_talking_head_on_audio.py
index 0779ca83..3844da95 100644
--- a/inferno_apps/TalkingHead/demos/demo_eval_talking_head_on_audio.py
+++ b/inferno_apps/TalkingHead/demos/demo_eval_talking_head_on_audio.py
@@ -104,7 +104,7 @@ def main():
     parser.add_argument('--path_to_audio', type=str, default= str(get_path_to_assets() / "data/EMOTE_test_example_data/01_gday.wav"))
     parser.add_argument('--output_folder', type=str, default="results", help="Output folder to save the results to.")
     # parser.add_argument('--model_name', type=str, default='EMOTE', help='Name of the model to use.')
-    parser.add_argument('--model_name', type=str, default='EMOTEv2', help='Name of the model to use.')
+    parser.add_argument('--model_name', type=str, default='EMOTE_v2', help='Name of the model to use.')
     parser.add_argument('--path_to_models', type=str, default=str(get_path_to_assets() / "TalkingHead/models"))
     parser.add_argument('--save_video', type=bool, default=True, help="If true, output images will be saved")
     parser.add_argument('--save_flame', type=bool, default=False, help="If true, output FLAME values for shape, expression, jaw pose will be saved")