diff --git a/infer/lib/infer_pack/models.py b/infer/lib/infer_pack/models.py
index 1d43061..4de36c4 100644
--- a/infer/lib/infer_pack/models.py
+++ b/infer/lib/infer_pack/models.py
@@ -16,7 +16,6 @@ from infer.lib.infer_pack.commons import get_padding, init_weights
 
 has_xpu = bool(hasattr(torch, "xpu") and torch.xpu.is_available())
 
-
 class TextEncoder256(nn.Module):
     def __init__(
         self,
@@ -1096,7 +1095,6 @@ class SynthesizerTrnMs256NSFsid_nono(nn.Module):
             head = int(z_p.shape[2] * (1.0 - rate.item()))
             z_p = z_p[:, :, head:]
             x_mask = x_mask[:, :, head:]
-            nsff0 = nsff0[:, head:]
         z = self.flow(z_p, x_mask, g=g, reverse=True)
         o = self.dec(z * x_mask, g=g)
         return o, x_mask, (z, z_p, m_p, logs_p)
@@ -1125,7 +1123,7 @@ class SynthesizerTrnMs768NSFsid_nono(nn.Module):
         sr=None,
         **kwargs
     ):
-        super(SynthesizerTrnMs768NSFsid_nono, self).__init__()
+        super(SynthesizerTrnMs768NSFsid_nono,self).__init__()
         self.spec_channels = spec_channels
         self.inter_channels = inter_channels
         self.hidden_channels = hidden_channels
@@ -1242,7 +1240,6 @@ class SynthesizerTrnMs768NSFsid_nono(nn.Module):
             head = int(z_p.shape[2] * (1.0 - rate.item()))
             z_p = z_p[:, :, head:]
             x_mask = x_mask[:, :, head:]
-            nsff0 = nsff0[:, head:]
         z = self.flow(z_p, x_mask, g=g, reverse=True)
         o = self.dec(z * x_mask, g=g)
         return o, x_mask, (z, z_p, m_p, logs_p)