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500b392
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1 Parent(s): b2fcaa6

Update app_v1v2.py

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  1. app_v1v2.py +5 -5
app_v1v2.py CHANGED
@@ -21,7 +21,7 @@ if hasattr(torch._inductor.config, "fx_graph_cache"):
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  # Experimental feature to reduce compilation times, will be on by default in future
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  torch._inductor.config.fx_graph_cache = True
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- dtype = torch.float32
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  def load_v2_models():
@@ -154,7 +154,7 @@ def create_v2_interface():
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  "<br>请勾选 'convert style/emotion/accent' 以转换源音频的风格、情感或口音,否则仅执行音色转换。<br>"
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  "勾选 'anonymization only' 会无视参考音频而将源音频转换为某种由模型自身决定的 '平均音色'。<br>"
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- "Credits to [Vevo](https://github.com/open-mmlab/Amphion/tree/main/models/vc/vevo)"
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  )
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  inputs = [
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  gr.Audio(type="filepath", label="Source Audio / 源音频"),
@@ -178,9 +178,9 @@ def create_v2_interface():
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  ]
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  examples = [
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- ["examples/source/yae_0.wav", "examples/reference/dingzhen_0.wav", 25, 1.0, 0.0, 0.7, 0.9, 1.0, 1.0, True,
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  False],
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- ["examples/source/jay_0.wav", "examples/reference/azuma_0.wav", 25, 1.0, 0.0, 0.7, 0.9, 1.0, 1.0, True, False],
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  ]
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  outputs = [
@@ -221,6 +221,6 @@ def main(args):
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  if __name__ == "__main__":
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  parser = argparse.ArgumentParser()
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- parser.add_argument("--compile", type=bool, default=False)
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  args = parser.parse_args()
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  main(args)
 
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  # Experimental feature to reduce compilation times, will be on by default in future
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  torch._inductor.config.fx_graph_cache = True
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+ dtype = torch.float16
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  def load_v2_models():
 
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  "<br>请勾选 'convert style/emotion/accent' 以转换源音频的风格、情感或口音,否则仅执行音色转换。<br>"
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  "勾选 'anonymization only' 会无视参考音频而将源音频转换为某种由模型自身决定的 '平均音色'。<br>"
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+ "Credits to [Vevo](https://github.com/open-mmlab/Amphion/tree/main/models/vc/vevo), [MegaTTS3](https://github.com/bytedance/MegaTTS3)"
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  )
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  inputs = [
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  gr.Audio(type="filepath", label="Source Audio / 源音频"),
 
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  ]
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  examples = [
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+ ["examples/source/yae_0.wav", "examples/reference/dingzhen_0.wav", 25, 1.0, 0.7, 0.7, 0.9, 1.0, 1.0, True,
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  False],
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+ ["examples/source/jay_0.wav", "examples/reference/azuma_0.wav", 25, 1.0, 0.7, 0.7, 0.9, 1.0, 1.0, True, False],
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  ]
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  outputs = [
 
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  if __name__ == "__main__":
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  parser = argparse.ArgumentParser()
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+ parser.add_argument("--compile", type=bool, default=True)
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  args = parser.parse_args()
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  main(args)