diff --git a/tortoise/api.py b/tortoise/api.py
index 59b1604..f3b729f 100644
--- a/tortoise/api.py
+++ b/tortoise/api.py
@@ -427,17 +427,21 @@ class TextToSpeech:
                 if self.cvvp is None:
                     print("Computing best candidates using CLVP")
                 else:
-                    print(f"Computing best candidates using CLVP {int((1-cvvp_amount) * 100):02d}% and CVVP {int(cvvp_amount * 100):02d}%")
+                    print(f"Computing best candidates using CLVP {((1-cvvp_amount) * 100):2.0f}% and CVVP {(cvvp_amount * 100):2.0f}%")
             for batch in tqdm(samples, disable=not verbose):
                 for i in range(batch.shape[0]):
                     batch[i] = fix_autoregressive_output(batch[i], stop_mel_token)
-                clvp = self.clvp(text_tokens.repeat(batch.shape[0], 1), batch, return_loss=False)
+                if cvvp_amount != 1:
+                    clvp = self.clvp(text_tokens.repeat(batch.shape[0], 1), batch, return_loss=False)
                 if auto_conds is not None and cvvp_amount > 0:
                     cvvp_accumulator = 0
                     for cl in range(auto_conds.shape[1]):
                         cvvp_accumulator = cvvp_accumulator + self.cvvp(auto_conds[:, cl].repeat(batch.shape[0], 1, 1), batch, return_loss=False)
                     cvvp = cvvp_accumulator / auto_conds.shape[1]
-                    clip_results.append(cvvp * cvvp_amount + clvp * (1-cvvp_amount))
+                    if cvvp_amount == 1:
+                        clip_results.append(cvvp)
+                    else:
+                        clip_results.append(cvvp * cvvp_amount + clvp * (1-cvvp_amount))
                 else:
                     clip_results.append(clvp)
             clip_results = torch.cat(clip_results, dim=0)