fix bugs and ad more info for install
This commit is contained in:
@@ -158,7 +158,7 @@ class ACEStepPipeline:
|
||||
])
|
||||
self.lang_segment = lang_segment
|
||||
self.lyric_tokenizer = VoiceBpeTokenizer()
|
||||
text_encoder_model = UMT5EncoderModel.from_pretrained(text_encoder_checkpoint_path).eval()
|
||||
text_encoder_model = UMT5EncoderModel.from_pretrained(text_encoder_checkpoint_path, torch_dtype=self.dtype).eval()
|
||||
text_encoder_model = text_encoder_model.to(device).to(self.dtype)
|
||||
text_encoder_model.requires_grad_(False)
|
||||
self.text_encoder_model = text_encoder_model
|
||||
@@ -941,7 +941,7 @@ class ACEStepPipeline:
|
||||
|
||||
output_path_flac = f"{base_path}/output_{time.strftime('%Y%m%d%H%M%S')}_{idx}.{format}"
|
||||
target_wav = target_wav.float()
|
||||
torchaudio.save(output_path_flac, target_wav, sample_rate=sample_rate, format=format, backend="ffmpeg", compression=torchaudio.io.CodecConfig(bit_rate=320000))
|
||||
torchaudio.save(output_path_flac, target_wav, sample_rate=sample_rate, format=format)
|
||||
return output_path_flac
|
||||
|
||||
def infer_latents(self, input_audio_path):
|
||||
|
||||
Reference in New Issue
Block a user