diff --git a/nodes_sampler.py b/nodes_sampler.py
index 857d6ee..95e1350 100644
--- a/nodes_sampler.py
+++ b/nodes_sampler.py
@@ -1600,20 +1600,15 @@ class WanVideoSampler:
                             if use_fresca:
                                 noise_pred_cond = fourier_filter(noise_pred_cond, fresca_scale_low, fresca_scale_high, fresca_freq_cutoff)
                             if fantasy_portrait_input is not None and not math.isclose(portrait_cfg[idx], 1.0):
-                                print("Applying Fantasy Portrait CFG...")
                                 base_params["fantasy_portrait_input"] = None
                                 noise_pred_no_portrait, noise_pred_ovi, cache_state_uncond = transformer(context=positive_embeds, pred_id=cache_state[0] if cache_state else None,
                                 vace_data=vace_data, attn_cond=attn_cond, **base_params)
-                                noise_pred_no_portrait = noise_pred_no_portrait[0]
-                                return noise_pred_no_portrait + portrait_cfg[idx] * (noise_pred_cond - noise_pred_no_portrait), noise_pred_ovi, [cache_state_cond, cache_state_uncond]
-                            else:
-                                if multitalk_audio_input is not None and not math.isclose(audio_cfg_scale[idx], 1.0):
+                                return noise_pred_no_portrait[0] + portrait_cfg[idx] * (noise_pred_cond - noise_pred_no_portrait[0]), noise_pred_ovi, [cache_state_cond, cache_state_uncond]
+                            elif multitalk_audio_input is not None and not math.isclose(audio_cfg_scale[idx], 1.0):
                                 base_params['multitalk_audio'] = torch.zeros_like(multitalk_audio_input)[-1:]
-
                                 noise_pred_uncond_audio, _, cache_state_uncond = transformer(
                                 context=positive_embeds, pred_id=cache_state[0] if cache_state else None,
                                 vace_data=vace_data, attn_cond=attn_cond, **base_params)
-
                                 return noise_pred_uncond_audio[0] + audio_cfg_scale[idx] * (noise_pred_cond - noise_pred_uncond_audio[0]), noise_pred_ovi, [cache_state_cond, cache_state_uncond]
                             else:
                                 return noise_pred_cond, noise_pred_ovi, [cache_state_cond]