diff --git a/comfy/ldm/lightricks/vocoders/vocoder.py b/comfy/ldm/lightricks/vocoders/vocoder.py
index 797484547..a2ab7b2b6 100644
--- a/comfy/ldm/lightricks/vocoders/vocoder.py
+++ b/comfy/ldm/lightricks/vocoders/vocoder.py
@@ -659,14 +659,13 @@ class VocoderWithBWE(torch.nn.Module):
     Chains a base vocoder (mel -> low-rate waveform) with a BWE stage that upsamples
     to a higher rate. The BWE computes a mel spectrogram from the low-rate waveform.
 
-    The forward pass is wrapped in ``torch.autocast(dtype=float32)`` so that
-    all operations run in fp32 regardless of weight dtype or caller context.
-    The BigVGAN v2 architecture passes signals through 108 sequential
-    convolutions (18 AMPBlocks x 6 convs) plus 36 anti-aliased activations;
-    bfloat16 accumulation errors compound through this chain and degrade
-    spectral metrics by 40-90% while adding only ~70 MB peak VRAM and ~20 ms
-    latency compared to native bf16.  Weights may remain in bf16 for storage
-    savings -- autocast upcasts them per-op at kernel level.
+    The forward pass disables autocast and explicitly casts inputs to fp32
+    so that all operations run in full precision regardless of any outer
+    autocast context.  The BigVGAN v2 architecture passes signals through
+    108 sequential convolutions (18 AMPBlocks x 6 convs) plus 36
+    anti-aliased activations; bfloat16 accumulation errors compound through
+    this chain and degrade spectral metrics by 40-90% while adding only
+    ~70 MB peak VRAM and ~20 ms latency compared to native bf16.
     """
 
     def __init__(self, config):
@@ -707,7 +706,7 @@ class VocoderWithBWE(torch.nn.Module):
 
     def forward(self, mel_spec):
         input_dtype = mel_spec.dtype
-        with torch.autocast(device_type=mel_spec.device.type, dtype=torch.float32):
+        with torch.autocast(device_type=mel_spec.device.type, enabled=False):
             x = self.vocoder(mel_spec.float())
             _, _, T_low = x.shape
             T_out = T_low * self.output_sample_rate // self.input_sample_rate