diff --git a/.env b/.env
index 10e5978074..1a588dc7a5 100644
--- a/.env
+++ b/.env
@@ -41,4 +41,6 @@ W2L_DOWNLOAD_SCRIPT_NAME=vocodes_process_upload.py
 TTS_CODE_DIRECTORY=/home/bt/dev/storyteller/storyteller-web/models/tacotron2
 TTS_INFERENCE_SCRIPT_NAME=vocodes_inference.py
 
-TTS_VOCODER_MODEL_FILENAME=waveglow_256channels_universal_v5.pt
\ No newline at end of file
+#TTS_VOCODER_MODEL_FILENAME=waveglow_256channels_universal_v5.pt # THIS SOUNDS HORRID
+#TTS_VOCODER_MODEL_FILENAME=waveglow_256channels_v4_uberduck.pt # THIS IS TOO SMALL! 300MB vs 1.2 GB!
+TTS_VOCODER_MODEL_FILENAME=waveglow_256channels_v4.pt
diff --git a/debug/curl/seed.py b/debug/curl/seed.py
index 074759f9bf..a04896e040 100755
--- a/debug/curl/seed.py
+++ b/debug/curl/seed.py
@@ -114,6 +114,8 @@ upload_tts_model('https://drive.google.com/file/d/1atFn4vm7mjkufXNK9TZS6J8WzISrA
 upload_tts_model('https://drive.google.com/file/d/1-rlJpi2jAsagn-UCStcCc_ITNycXgn2F/view?usp=sharing', 'Jorgen', session_other)
 upload_tts_model('https://drive.google.com/file/d/1togTNOEKnaarqWWrbZLSwIbZIZ8IT_qw/view?usp=sharing', 'edsheeransinging', session_nanashi)
 
+upload_tts_model('https://drive.google.com/file/d/1OAiu0cZDyUJMemyLc0Btqw7zEQgiN81D/view?usp=sharing', 'Wakko Warner v2 ST21', session_nanashi)
+
 #upload_tts_model('', '', session_other)
 #upload_tts_model('', '', session_other)
 #upload_tts_model('', '', session_other)
diff --git a/models/tacotron2/vocodes_inference.py b/models/tacotron2/vocodes_inference.py
index 3e9e451847..8e4487fd7a 100755
--- a/models/tacotron2/vocodes_inference.py
+++ b/models/tacotron2/vocodes_inference.py
@@ -20,14 +20,16 @@ args = parser.parse_args()
 
 import sys
 sys.path.append('waveglow/')
-import numpy as np
-import torch
 import shutil
 import json
 
-from model import Tacotron2
+import numpy as np
+import torch
+
 from hparams import create_hparams
-from train import load_model
+from model import Tacotron2
+from layers import TacotronSTFT
+from audio_processing import griffin_lim
 from text import text_to_sequence
 from denoiser import Denoiser
 
@@ -41,20 +43,18 @@ print('========================================', flush=True)
 # NB(bt, 2021-05-31): Trying to get everything on the same device
 #torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-hparams = create_hparams()
-hparams.sampling_rate = 22050
-hparams.sampling_rate = 22050 # Don't change this
-hparams.max_decoder_steps = 1000 # How long the audio will be before it cuts off (1000 is about 11 seconds)
-hparams.gate_threshold = 0.1 # Model must be 90% sure the clip is over before ending generation (the higher this number is, the more likely that the AI will keep generating until it reaches the Max Decoder Steps)
-
 # Fix bug running on CPU?
 #torch.set_default_dtype(torch.float16)
 # NB(bt, 2021-05-31): Perhaps this is blocking waveglow? It complains of the wrong tensor type.
 #torch.set_default_tensor_type('torch.DoubleTensor') # 2021-05-31 commented out
 #torch.set_default_tensor_type('torch.HalfTensor') # 2021-05-31 added
 
-# Load synthesizer
+hparams = create_hparams()
+hparams.sampling_rate = 22050 # Don't change this
+hparams.max_decoder_steps = 1000 # How long the audio will be before it cuts off (1000 is about 11 seconds)
+hparams.gate_threshold = 0.1 # Model must be 90% sure the clip is over before ending generation (the higher this number is, the more likely that the AI will keep generating until it reaches the Max Decoder Steps)
 
+# Load synthesizer
 checkpoint_path = args.synthesizer_checkpoint_path
 
 #model = load_model(hparams)