Better params.

app.py

@@ -156,7 +156,7 @@ model = pflowTTS.load_from_checkpoint(PFLOW_MODEL_PATH, map_location=device)
 _ = model.eval()
 #vocoder = load_bigvgan(VOCODER_BIGVGAN_MODEL_PATH, device)
 vocoder = load_hifigan(VOCODER_MODEL_PATH, device)
-denoiser = Denoiser(vocoder, mode="zeros")
+denoiser = None #Denoiser(vocoder, mode="zeros")
 
 @torch.inference_mode()
 def synthesise(text, temperature, speed):
@@ -171,7 +171,8 @@ def synthesise(text, temperature, speed):
         n_timesteps=40,
         temperature=temperature,
         length_scale=1/speed,
-        prompt=normalize(prompt, model.mel_mean, model.mel_std).to(device)
+        prompt=normalize(prompt, model.mel_mean, model.mel_std).to(device),
+	guidance_scale=1.5
     )
     waveform = to_waveform(output["mel"], vocoder, denoiser)