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在NixOS上使用so-vits-svc项目

在NixOS上使用so-vits-svc项目

2024-08-11
 
Linux   NixOS   AI   声音转换  

在2024年7月，我把系统从ArchLinux迁移到了NixOS，自然就用上了nix包管理器。迁移完后感觉一切都清爽了，但同时，有很多事情要解决。

迁移完后，我首先需要解决纳西妲语音模型合成音频的问题。

我之前在ArchLinux上使用so-vits-svc来合成，这是一个Python项目，我在翻阅很多文献后决定使用flake+venv来安装运行环境，但好巧不巧，它官方推荐的Python版本是3.8.9，而nix官方包最低只提供3.9版本，怎么办呢？

使用3.9版本的Python

既然3.8.9版本的Python官方不提供包，那我们就用3.9的Python吧（反正就差了0.0.1而已）。

创建flake.nix文件

NIX
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{
  description = "Python venv development template";
  inputs.utils.url = "github:numtide/flake-utils";
  outputs = { nixpkgs, utils, ... }:
    utils.lib.eachDefaultSystem (system: let
      pkgs = import nixpkgs { inherit system; };
      pythonPackages = pkgs.python39Packages;
    in {
      devShells.default = pkgs.mkShell {
        name = "python-venv";
        venvDir = "./.venv";
        buildInputs = [
          pythonPackages.python
          pythonPackages.venvShellHook
          pythonPackages.numpy
        ];
        postVenvCreation = ''
          unset SOURCE_DATE_EPOCH
          pip install -r requirements.txt
        '';
        postShellHook = ''
          unset SOURCE_DATE_EPOCH
          if [ -z "$LD_LIBRARY_PATH" ]; then
            export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${pkgs.stdenv.cc.cc.lib}/lib/:${pkgs.libsndfile.out}/lib/:/run/opengl-driver/lib/"
          else
            export LD_LIBRARY_PATH="${pkgs.stdenv.cc.cc.lib}/lib/:${pkgs.libsndfile.out}/lib/:/run/opengl-driver/lib/"
          fi
        '';
      };
    });
}

创建.envrc文件

direnv在每次切换目录时寻找.envrc文件以自动加载运行环境：

TEXT
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use flake

然后输入下面这条命令，让direnv信任我们的.envrc文件：

BASH
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direnv allow
Pip的输出
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Collecting ffmpeg-python
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Installing collected packages: pytz, pydub, mpmath, bitarray, antlr4-python3-runtime, zipp, websockets, urllib3, tzdata, typing-extensions, tqdm, tomlkit, threadpoolctl, tensorboard-data-server, tabulate, sympy, sniffio, six, shellingham, semantic-version, safetensors, ruff, regex, pyyaml, python-multipart, pyparsing, pynvml, pygments, pycparser, protobuf, portalocker, platformdirs, pillow, packaging, orjson, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, multidict, mdurl, markupsafe, lxml, loguru, llvmlite, kiwisolver, joblib, itsdangerous, idna, h11, grpcio, future, fsspec, frozenlist, fonttools, filelock, ffmpy, exceptiongroup, einops, decorator, cython, cycler, colorama, click, charset-normalizer, certifi, blinker, audioread, attrs, async-timeout, annotated-types, aiohappyeyeballs, aiofiles, absl-py, yarl, Werkzeug, uvicorn, triton, tifffile, tensorboardX, scipy, sacrebleu, requests, pyworld, python-dateutil, pydantic-core, praat-parselmouth, onnx, omegaconf, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numba, markdown-it-py, lazy-loader, langdetect, Jinja2, importlib-resources, importlib-metadata, imageio, httpcore, ffmpeg-python, faiss-cpu, contourpy, cffi, anyio, aiosignal, starlette, SoundFile, scikit-learn, scikit-image, rich, resampy, pydantic, pooch, pandas, onnxoptimizer, nvidia-cusolver-cu12, matplotlib, markdown, hydra-core, huggingface-hub, httpx, Flask, aiohttp, typer, torch, tokenizers, tensorboard, scikit-maad, onnxsim, librosa, gradio-client, Flask_Cors, fastapi, edge_tts, transformers, torchaudio, local_attention, gradio, torchcrepe, fairseq
  DEPRECATION: antlr4-python3-runtime is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for antlr4-python3-runtime: started
  Running setup.py install for antlr4-python3-runtime: finished with status 'done'
  Attempting uninstall: numpy
    Found existing installation: numpy 1.26.4
    Not uninstalling numpy at /nix/store/x1r39izq1hzjz5qyz7mrw81wiwdj1rrc-python3.9-numpy-1.26.4/lib/python3.9/site-packages, outside environment /home/nahida/Private/so/.venv
    Can't uninstall 'numpy'. No files were found to uninstall.
  DEPRECATION: langdetect is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for langdetect: started
  Running setup.py install for langdetect: finished with status 'done'
Successfully installed Flask-3.0.3 Flask_Cors-4.0.1 Jinja2-3.1.4 SoundFile-0.12.1 Werkzeug-3.0.3 absl-py-2.1.0 aiofiles-23.2.1 aiohappyeyeballs-2.3.5 aiohttp-3.10.3 aiosignal-1.3.1 annotated-types-0.7.0 antlr4-python3-runtime-4.8 anyio-4.4.0 async-timeout-4.0.3 attrs-24.2.0 audioread-3.0.1 bitarray-2.9.2 blinker-1.8.2 certifi-2024.7.4 cffi-1.17.0 charset-normalizer-3.3.2 click-8.1.7 colorama-0.4.6 contourpy-1.2.1 cycler-0.12.1 cython-3.0.11 decorator-5.1.1 edge_tts-6.1.12 einops-0.8.0 exceptiongroup-1.2.2 fairseq-0.12.2 faiss-cpu-1.8.0.post1 fastapi-0.112.0 ffmpeg-python-0.2.0 ffmpy-0.4.0 filelock-3.15.4 fonttools-4.53.1 frozenlist-1.4.1 fsspec-2024.6.1 future-1.0.0 gradio-4.41.0 gradio-client-1.3.0 grpcio-1.65.4 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 huggingface-hub-0.24.5 hydra-core-1.0.7 idna-3.7 imageio-2.34.2 importlib-metadata-8.2.0 importlib-resources-6.4.0 itsdangerous-2.2.0 joblib-1.4.2 kiwisolver-1.4.5 langdetect-1.0.9 lazy-loader-0.4 librosa-0.9.1 llvmlite-0.43.0 local_attention-1.9.14 loguru-0.7.2 lxml-5.3.0 markdown-3.6 markdown-it-py-3.0.0 markupsafe-2.1.5 matplotlib-3.9.1.post1 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.5 networkx-3.2.1 numba-0.60.0 numpy-1.23.5 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 omegaconf-2.0.6 onnx-1.16.2 onnxoptimizer-0.3.13 onnxsim-0.4.36 orjson-3.10.7 packaging-24.1 pandas-2.2.2 pillow-10.4.0 platformdirs-4.2.2 pooch-1.8.2 portalocker-2.10.1 praat-parselmouth-0.4.4 protobuf-4.25.4 pycparser-2.22 pydantic-2.8.2 pydantic-core-2.20.1 pydub-0.25.1 pygments-2.18.0 pynvml-11.5.3 pyparsing-3.1.2 python-dateutil-2.9.0.post0 python-multipart-0.0.9 pytz-2024.1 pyworld-0.3.4 pyyaml-6.0.2 regex-2024.7.24 requests-2.32.3 resampy-0.4.3 rich-13.7.1 ruff-0.5.7 sacrebleu-2.4.2 safetensors-0.4.4 scikit-image-0.24.0 scikit-learn-1.5.1 scikit-maad-1.4.3 scipy-1.10.0 semantic-version-2.10.0 shellingham-1.5.4 six-1.16.0 sniffio-1.3.1 starlette-0.37.2 sympy-1.13.1 tabulate-0.9.0 tensorboard-2.17.0 tensorboard-data-server-0.7.2 tensorboardX-2.6.2.2 threadpoolctl-3.5.0 tifffile-2024.7.24 tokenizers-0.19.1 tomlkit-0.12.0 torch-2.4.0 torchaudio-2.4.0 torchcrepe-0.0.23 tqdm-4.66.5 transformers-4.44.0 triton-3.0.0 typer-0.12.3 typing-extensions-4.12.2 tzdata-2024.1 urllib3-2.2.2 uvicorn-0.30.5 websockets-12.0 yarl-1.9.4 zipp-3.19.2

[notice] A new release of pip is available: 23.0.1 -> 24.2
[notice] To update, run: pip install --upgrade pip

转换段音频试试：

BASH
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python inference_main.py -m logs/44k/nahida_G_40000.pth -c configs/nahida.json -t 0 -s nahida -cm logs/44k/nahida_kmeans_10000.pt -cr 0.5 -n test.wav -f0p harvest -t 10
输出
TEXT
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/home/nahida/Private/so-vits-svc/.venv/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:134: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
  WeightNorm.apply(module, name, dim)
/home/nahida/Private/so-vits-svc/utils.py:157: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint_dict = torch.load(checkpoint_path, map_location='cpu')
/home/nahida/Private/so-vits-svc/.venv/lib/python3.9/site-packages/fairseq/checkpoint_utils.py:315: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  state = torch.load(f, map_location=torch.device("cpu"))
/home/nahida/Private/so-vits-svc/.venv/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:134: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
  WeightNorm.apply(module, name, dim)
/home/nahida/Private/so-vits-svc/cluster/__init__.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(ckpt_path)
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("soundfile")
load
load model(s) from pretrain/checkpoint_best_legacy_500.pt
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全文完。