mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2024-12-29 19:15:04 +08:00
👷 Use black[jupyter] (#847)
* 👷 Use black[jupyter] * 👷 Add missing matrix
This commit is contained in:
Nato Boram
GitHub
parent
18067aa85d
commit
ffc99dbd32
14
.github/workflows/pull_format.yml
vendored
14
.github/workflows/pull_format.yml
vendored
@ -4,10 +4,19 @@ on: [pull_request]
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permissions:
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contents: write
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jobs:
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pull_format:
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runs-on: ubuntu-latest
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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python-version: ["3.10"]
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os: [ubuntu-latest]
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fail-fast: false
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continue-on-error: true
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steps:
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- name: checkout
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continue-on-error: true
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@ -16,14 +25,13 @@ jobs:
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ref: ${{ github.head_ref }}
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fetch-depth: 0
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install Black
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run: pip install black
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run: pip install "black[jupyter]"
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- name: Run Black
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# run: black $(git ls-files '*.py')
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12
.github/workflows/push_format.yml
vendored
12
.github/workflows/push_format.yml
vendored
@ -8,9 +8,17 @@ on:
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permissions:
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contents: write
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pull-requests: write
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jobs:
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push_format:
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runs-on: ubuntu-latest
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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python-version: ["3.10"]
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os: [ubuntu-latest]
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fail-fast: false
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steps:
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- uses: actions/checkout@v3
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with:
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@ -22,7 +30,7 @@ jobs:
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python-version: ${{ matrix.python-version }}
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- name: Install Black
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run: pip install black
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run: pip install "black[jupyter]"
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- name: Run Black
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# run: black $(git ls-files '*.py')
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@ -34,14 +34,14 @@
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},
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"outputs": [],
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"source": [
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"#@title 查看显卡\n",
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"# @title 查看显卡\n",
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"!nvidia-smi"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 安装依赖\n",
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"# @title 安装依赖\n",
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"!apt-get -y install build-essential python3-dev ffmpeg\n",
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"!pip3 install --upgrade setuptools wheel\n",
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"!pip3 install --upgrade pip\n",
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@ -56,7 +56,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 克隆仓库\n",
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"# @title 克隆仓库\n",
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"\n",
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"!git clone --depth=1 -b stable https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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@ -71,7 +71,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 更新仓库（一般无需执行）\n",
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"# @title 更新仓库（一般无需执行）\n",
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"!git pull"
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],
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"metadata": {
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@ -83,7 +83,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 安装aria2\n",
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"# @title 安装aria2\n",
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"!apt -y install -qq aria2"
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],
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"metadata": {
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@ -95,7 +95,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 下载底模\n",
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"# @title 下载底模\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D40k.pth\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D48k.pth\n",
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@ -118,7 +118,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 下载人声分离模型\n",
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"# @title 下载人声分离模型\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
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],
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@ -131,7 +131,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 下载hubert_base\n",
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"# @title 下载hubert_base\n",
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"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
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],
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"metadata": {
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@ -143,10 +143,11 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 挂载谷歌云盘\n",
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"# @title 挂载谷歌云盘\n",
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"\n",
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"from google.colab import drive\n",
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"drive.mount('/content/drive')"
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"\n",
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"drive.mount(\"/content/drive\")"
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],
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"metadata": {
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"id": "jwu07JgqoFON"
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@ -157,10 +158,12 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
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"# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
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"\n",
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"#@markdown 数据集位置\n",
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"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
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"# @markdown 数据集位置\n",
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"DATASET = (\n",
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" \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" # @param {type:\"string\"}\n",
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")\n",
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"\n",
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"!mkdir -p /content/dataset\n",
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"!unzip -d /content/dataset -B {DATASET}"
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@ -174,7 +177,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 重命名数据集中的重名文件\n",
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"# @title 重命名数据集中的重名文件\n",
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"!ls -a /content/dataset/\n",
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"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
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],
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@ -187,7 +190,7 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 启动web\n",
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"# @title 启动web\n",
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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"# %load_ext tensorboard\n",
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"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
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@ -202,13 +205,13 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 手动将训练后的模型文件备份到谷歌云盘\n",
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"#@markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
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"# @title 手动将训练后的模型文件备份到谷歌云盘\n",
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"# @markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
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"\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 模型epoch\n",
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"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
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"# @markdown 模型名\n",
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"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
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"# @markdown 模型epoch\n",
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"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
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"\n",
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
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@ -226,13 +229,13 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 从谷歌云盘恢复pth\n",
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"#@markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
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"# @title 从谷歌云盘恢复pth\n",
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"# @markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
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"\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 模型epoch\n",
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"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
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"# @markdown 模型名\n",
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"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
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"# @markdown 模型epoch\n",
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"MODELEPOCH = 7500 # @param {type:\"integer\"}\n",
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"\n",
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"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
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"\n",
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@ -251,15 +254,15 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 手动预处理（不推荐）\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 采样率\n",
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"BITRATE = 48000 #@param {type:\"integer\"}\n",
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"#@markdown 使用的进程数\n",
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"# @title 手动预处理（不推荐）\n",
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"# @markdown 模型名\n",
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"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
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"# @markdown 采样率\n",
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"BITRATE = 48000 # @param {type:\"integer\"}\n",
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"# @markdown 使用的进程数\n",
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"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
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"\n",
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True"
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],
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"metadata": {
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"id": "ZKAyuKb9J6dz"
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@ -270,17 +273,17 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 手动提取特征（不推荐）\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 使用的进程数\n",
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"#@markdown 音高提取算法\n",
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"ALGO = \"harvest\" #@param {type:\"string\"}\n",
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"# @title 手动提取特征（不推荐）\n",
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"# @markdown 模型名\n",
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"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
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"# @markdown 使用的进程数\n",
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"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
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"# @markdown 音高提取算法\n",
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"ALGO = \"harvest\" # @param {type:\"string\"}\n",
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"\n",
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"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
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"\n",
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"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
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"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}"
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],
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"metadata": {
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"id": "CrxJqzAUKmPJ"
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@ -291,25 +294,25 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 手动训练（不推荐）\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 使用的GPU\n",
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"USEGPU = \"0\" #@param {type:\"string\"}\n",
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"#@markdown 批大小\n",
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"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
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"#@markdown 停止的epoch\n",
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"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
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"#@markdown 保存epoch间隔\n",
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"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
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"#@markdown 采样率\n",
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"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
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"#@markdown 是否缓存训练集\n",
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"CACHEDATA = 1 #@param {type:\"integer\"}\n",
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"#@markdown 是否仅保存最新的ckpt文件\n",
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"ONLYLATEST = 0 #@param {type:\"integer\"}\n",
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"# @title 手动训练（不推荐）\n",
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"# @markdown 模型名\n",
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"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
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"# @markdown 使用的GPU\n",
|
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"USEGPU = \"0\" # @param {type:\"string\"}\n",
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"# @markdown 批大小\n",
|
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"BATCHSIZE = 32 # @param {type:\"integer\"}\n",
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"# @markdown 停止的epoch\n",
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"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
|
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"# @markdown 保存epoch间隔\n",
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"EPOCHSAVE = 100 # @param {type:\"integer\"}\n",
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"# @markdown 采样率\n",
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"MODELSAMPLE = \"48k\" # @param {type:\"string\"}\n",
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"# @markdown 是否缓存训练集\n",
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"CACHEDATA = 1 # @param {type:\"integer\"}\n",
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"# @markdown 是否仅保存最新的ckpt文件\n",
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"ONLYLATEST = 0 # @param {type:\"integer\"}\n",
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"\n",
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"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
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"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}"
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],
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"metadata": {
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"id": "IMLPLKOaKj58"
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@ -320,11 +323,11 @@
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{
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"cell_type": "code",
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"source": [
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"#@title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 选中模型epoch\n",
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"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
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"# @title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
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"# @markdown 模型名\n",
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"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
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"# @markdown 选中模型epoch\n",
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"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
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"\n",
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"!echo \"备份选中的模型。。。\"\n",
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"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
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@ -335,7 +338,7 @@
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"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
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"\n",
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"!echo \"恢复选中的模型。。。\"\n",
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"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
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"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
|
||||
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
|
||||
"\n",
|
||||
"!echo \"删除完成\"\n",
|
||||
@ -350,11 +353,11 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"#@title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 选中模型epoch\n",
|
||||
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
|
||||
"# @title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 选中模型epoch\n",
|
||||
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!echo \"备份选中的模型。。。\"\n",
|
||||
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
|
||||
@ -365,7 +368,7 @@
|
||||
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
|
||||
"\n",
|
||||
"!echo \"恢复选中的模型。。。\"\n",
|
||||
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
|
||||
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
|
||||
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
|
||||
"\n",
|
||||
"!echo \"删除完成\"\n",
|
||||
|
||||
@ -18,7 +18,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 查看显卡\n",
|
||||
"# @title 查看显卡\n",
|
||||
"!nvidia-smi"
|
||||
]
|
||||
},
|
||||
@ -30,7 +30,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 安装依赖\n",
|
||||
"# @title 安装依赖\n",
|
||||
"!apt-get -y install build-essential python3-dev ffmpeg\n",
|
||||
"!pip3 install --upgrade setuptools wheel\n",
|
||||
"!pip3 install --upgrade pip\n",
|
||||
@ -45,13 +45,13 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 克隆仓库\n",
|
||||
"# @title 克隆仓库\n",
|
||||
"\n",
|
||||
"!mkdir Retrieval-based-Voice-Conversion-WebUI\n",
|
||||
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
|
||||
"!git init\n",
|
||||
"!git remote add origin https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git\n",
|
||||
"!git fetch origin cfd984812804ddc9247d65b14c82cd32e56c1133 --depth=1 \n",
|
||||
"!git fetch origin cfd984812804ddc9247d65b14c82cd32e56c1133 --depth=1\n",
|
||||
"!git reset --hard FETCH_HEAD"
|
||||
]
|
||||
},
|
||||
@ -63,7 +63,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 更新仓库（一般无需执行）\n",
|
||||
"# @title 更新仓库（一般无需执行）\n",
|
||||
"!git pull"
|
||||
]
|
||||
},
|
||||
@ -75,7 +75,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 安装aria2\n",
|
||||
"# @title 安装aria2\n",
|
||||
"!apt -y install -qq aria2"
|
||||
]
|
||||
},
|
||||
@ -87,7 +87,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 下载底模\n",
|
||||
"# @title 下载底模\n",
|
||||
"\n",
|
||||
"# v1\n",
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
|
||||
@ -103,7 +103,7 @@
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G40k.pth\n",
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G48k.pth\n",
|
||||
"\n",
|
||||
"#v2\n",
|
||||
"# v2\n",
|
||||
"# !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained_v2 -o D32k.pth\n",
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained_v2 -o D40k.pth\n",
|
||||
"# !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained_v2 -o D48k.pth\n",
|
||||
@ -126,7 +126,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 下载人声分离模型\n",
|
||||
"# @title 下载人声分离模型\n",
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
|
||||
]
|
||||
@ -139,7 +139,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 下载hubert_base\n",
|
||||
"# @title 下载hubert_base\n",
|
||||
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
|
||||
]
|
||||
},
|
||||
@ -151,10 +151,11 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 挂载谷歌云盘\n",
|
||||
"# @title 挂载谷歌云盘\n",
|
||||
"\n",
|
||||
"from google.colab import drive\n",
|
||||
"drive.mount('/content/drive')"
|
||||
"\n",
|
||||
"drive.mount(\"/content/drive\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -165,10 +166,12 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
|
||||
"# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
|
||||
"\n",
|
||||
"#@markdown 数据集位置\n",
|
||||
"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
|
||||
"# @markdown 数据集位置\n",
|
||||
"DATASET = (\n",
|
||||
" \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" # @param {type:\"string\"}\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"!mkdir -p /content/dataset\n",
|
||||
"!unzip -d /content/dataset -B {DATASET}"
|
||||
@ -182,7 +185,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 重命名数据集中的重名文件\n",
|
||||
"# @title 重命名数据集中的重名文件\n",
|
||||
"!ls -a /content/dataset/\n",
|
||||
"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
|
||||
]
|
||||
@ -195,7 +198,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 启动web\n",
|
||||
"# @title 启动web\n",
|
||||
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
|
||||
"# %load_ext tensorboard\n",
|
||||
"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
|
||||
@ -210,13 +213,13 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 手动将训练后的模型文件备份到谷歌云盘\n",
|
||||
"#@markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
|
||||
"# @title 手动将训练后的模型文件备份到谷歌云盘\n",
|
||||
"# @markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
|
||||
"\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 模型epoch\n",
|
||||
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 模型epoch\n",
|
||||
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
|
||||
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
|
||||
@ -234,13 +237,13 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 从谷歌云盘恢复pth\n",
|
||||
"#@markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
|
||||
"# @title 从谷歌云盘恢复pth\n",
|
||||
"# @markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
|
||||
"\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 模型epoch\n",
|
||||
"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 模型epoch\n",
|
||||
"MODELEPOCH = 7500 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
|
||||
"\n",
|
||||
@ -259,15 +262,15 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 手动预处理（不推荐）\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 采样率\n",
|
||||
"BITRATE = 48000 #@param {type:\"integer\"}\n",
|
||||
"#@markdown 使用的进程数\n",
|
||||
"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
|
||||
"# @title 手动预处理（不推荐）\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 采样率\n",
|
||||
"BITRATE = 48000 # @param {type:\"integer\"}\n",
|
||||
"# @markdown 使用的进程数\n",
|
||||
"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
|
||||
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -278,17 +281,17 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 手动提取特征（不推荐）\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 使用的进程数\n",
|
||||
"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
|
||||
"#@markdown 音高提取算法\n",
|
||||
"ALGO = \"harvest\" #@param {type:\"string\"}\n",
|
||||
"# @title 手动提取特征（不推荐）\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 使用的进程数\n",
|
||||
"THREADCOUNT = 8 # @param {type:\"integer\"}\n",
|
||||
"# @markdown 音高提取算法\n",
|
||||
"ALGO = \"harvest\" # @param {type:\"string\"}\n",
|
||||
"\n",
|
||||
"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
|
||||
"\n",
|
||||
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
|
||||
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -299,25 +302,25 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 手动训练（不推荐）\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 使用的GPU\n",
|
||||
"USEGPU = \"0\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 批大小\n",
|
||||
"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
|
||||
"#@markdown 停止的epoch\n",
|
||||
"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
|
||||
"#@markdown 保存epoch间隔\n",
|
||||
"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
|
||||
"#@markdown 采样率\n",
|
||||
"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 是否缓存训练集\n",
|
||||
"CACHEDATA = 1 #@param {type:\"integer\"}\n",
|
||||
"#@markdown 是否仅保存最新的ckpt文件\n",
|
||||
"ONLYLATEST = 0 #@param {type:\"integer\"}\n",
|
||||
"# @title 手动训练（不推荐）\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 使用的GPU\n",
|
||||
"USEGPU = \"0\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 批大小\n",
|
||||
"BATCHSIZE = 32 # @param {type:\"integer\"}\n",
|
||||
"# @markdown 停止的epoch\n",
|
||||
"MODELEPOCH = 3200 # @param {type:\"integer\"}\n",
|
||||
"# @markdown 保存epoch间隔\n",
|
||||
"EPOCHSAVE = 100 # @param {type:\"integer\"}\n",
|
||||
"# @markdown 采样率\n",
|
||||
"MODELSAMPLE = \"48k\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 是否缓存训练集\n",
|
||||
"CACHEDATA = 1 # @param {type:\"integer\"}\n",
|
||||
"# @markdown 是否仅保存最新的ckpt文件\n",
|
||||
"ONLYLATEST = 0 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
|
||||
"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -328,11 +331,11 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 选中模型epoch\n",
|
||||
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
|
||||
"# @title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 选中模型epoch\n",
|
||||
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!echo \"备份选中的模型。。。\"\n",
|
||||
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
|
||||
@ -343,7 +346,7 @@
|
||||
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
|
||||
"\n",
|
||||
"!echo \"恢复选中的模型。。。\"\n",
|
||||
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
|
||||
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
|
||||
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
|
||||
"\n",
|
||||
"!echo \"删除完成\"\n",
|
||||
@ -358,11 +361,11 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#@title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
|
||||
"#@markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
|
||||
"#@markdown 选中模型epoch\n",
|
||||
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
|
||||
"# @title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
|
||||
"# @markdown 模型名\n",
|
||||
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
|
||||
"# @markdown 选中模型epoch\n",
|
||||
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
|
||||
"\n",
|
||||
"!echo \"备份选中的模型。。。\"\n",
|
||||
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
|
||||
@ -373,7 +376,7 @@
|
||||
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
|
||||
"\n",
|
||||
"!echo \"恢复选中的模型。。。\"\n",
|
||||
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
|
||||
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
|
||||
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
|
||||
"\n",
|
||||
"!echo \"删除完成\"\n",
|
||||
|
||||
Loading…
Reference in New Issue
Block a user