Spaces:
Runtime error
Runtime error
models
Browse files- .gitignore +3 -3
- mdxnet_models/Kim_Vocal_2.onnx +3 -0
- mdxnet_models/Reverb_HQ_By_FoxJoy.onnx +3 -0
- mdxnet_models/UVR_MDXNET_KARA_2.onnx +3 -0
- rvc_models/hubert_base.pt +3 -0
- rvc_models/rmvpe.pt +3 -0
- src/rvc.py +1 -1
.gitignore
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@@ -1,5 +1,5 @@
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# MDX Models
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mdxnet_models/*.onnx
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# RVC Models
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rvc_models/*/*.pth
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@@ -7,8 +7,8 @@ rvc_models/*/*.index
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rvc_models/*/*.npy
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rvc_models/*/*.zip
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rvc_models/*/*.rar
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rvc_models/hubert_base.pt
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rvc_models/rmvpe.pt
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# Output
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song_output/*/*.wav
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# MDX Models
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# mdxnet_models/*.onnx
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# RVC Models
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rvc_models/*/*.pth
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rvc_models/*/*.npy
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rvc_models/*/*.zip
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rvc_models/*/*.rar
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# rvc_models/hubert_base.pt
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# rvc_models/rmvpe.pt
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# Output
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song_output/*/*.wav
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mdxnet_models/Kim_Vocal_2.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce74ef3b6a6024ce44211a07be9cf8bc6d87728cc852a68ab34eb8e58cde9c8b
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size 66759214
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mdxnet_models/Reverb_HQ_By_FoxJoy.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:233bb5c6aaa365e568659a0a81211746fa881f8f47f82d9e864fce1f7692db80
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size 66780123
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mdxnet_models/UVR_MDXNET_KARA_2.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf32e15105a09c0f7dddd2b67346146334d6f3ecb399ed7638eba2ab07cbf5f4
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size 52786726
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rvc_models/hubert_base.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f54b40fd2802423a5643779c4861af1e9ee9c1564dc9d32f54f20b5ffba7db96
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size 189507909
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rvc_models/rmvpe.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d62215f4306e3ca278246188607209f09af3dc77ed4232efdd069798c4ec193
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size 181184272
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src/rvc.py
CHANGED
@@ -2,7 +2,6 @@ from multiprocessing import cpu_count
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from pathlib import Path
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import torch
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from fairseq import checkpoint_utils
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from scipy.io import wavfile
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from src.infer_pack.models import (
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def load_hubert(device, is_half, model_path):
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models, saved_cfg, task = checkpoint_utils.load_model_ensemble_and_task([model_path], suffix='', )
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hubert = models[0]
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hubert = hubert.to(device)
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from pathlib import Path
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import torch
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from scipy.io import wavfile
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from src.infer_pack.models import (
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def load_hubert(device, is_half, model_path):
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from fairseq import checkpoint_utils
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models, saved_cfg, task = checkpoint_utils.load_model_ensemble_and_task([model_path], suffix='', )
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hubert = models[0]
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hubert = hubert.to(device)
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