Cool_Tools/Retrieval-based-Voice-Conversion-WebUI
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add colab
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{
update notebook
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"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"private_outputs": true,
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU",
"gpuClass": "standard"
},
add colab
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"cells": [
{
"cell_type": "markdown",
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)"
update notebook
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],
"metadata": {
"id": "ZFFCx5J80SGa"
}
add colab
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},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GmFP6bN9dvOq"
},
"outputs": [],
"source": [
"#@title 查看显卡\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"source": [
"#@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",
"!pip3 install faiss-gpu fairseq gradio ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2"
update notebook
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],
"metadata": {
"id": "wjddIFr1oS3W"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
"source": [
"#@title 克隆仓库\n",
"\n",
"!git clone --depth=1 https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"!mkdir -p pretrained uvr5_weights"
update notebook
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],
"metadata": {
"id": "ge_97mfpgqTm"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
"source": [
"#@title 更新仓库（一般无需执行）\n",
"!git pull"
update notebook
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],
"metadata": {
"id": "BLDEZADkvlw1"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
"source": [
为笔记本添加更多功能
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"#@title 下载底模\n",
add colab
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"!apt -y install -qq aria2\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",
"!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",
"!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",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o G32k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o G40k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o G48k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D32k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D40k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D48k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G32k.pth\n",
"!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",
"!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\n",
"\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"
update notebook
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],
"metadata": {
"id": "UG3XpUwEomUz"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
update notebook
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"source": [
"#@title 挂载谷歌云盘\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
add colab
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"metadata": {
update notebook
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"id": "jwu07JgqoFON"
add colab
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},
update notebook
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"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
add colab
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"source": [
"#@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",
为笔记本添加更多功能
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"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
add colab
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"\n",
"!mkdir -p /content/dataset\n",
"!unzip -d /content/dataset {DATASET}"
update notebook
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],
"metadata": {
"id": "Mwk7Q0Loqzjx"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
"source": [
"#@title 启动web\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"!python3 infer-web.py --colab --pycmd python3"
update notebook
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],
"metadata": {
"id": "7vh6vphDwO0b"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
"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",
"\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 模型epoch\n",
update notebook
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"MODELEPOCH = 7700 #@param {type:\"integer\"}\n",
add colab
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"\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",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/added_*.index /content/drive/MyDrive/\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth"
update notebook
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],
"metadata": {
"id": "FgJuNeAwx5Y_"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
"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",
"\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 模型epoch\n",
update notebook
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"MODELEPOCH = 7700 #@param {type:\"integer\"}\n",
为笔记本添加更多功能
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"\n",
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
add colab
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"\n",
"!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
为笔记本添加更多功能
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"!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"!cp /content/drive/MyDrive/*.index /content/\n",
"!cp /content/drive/MyDrive/*.npy /content/\n",
"!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth"
update notebook
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],
"metadata": {
"id": "OVQoLQJXS7WX"
},
"execution_count": null,
"outputs": []
add colab
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},
{
"cell_type": "code",
为笔记本添加更多功能
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"source": [
"#@title 手动预处理（不推荐）\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"\n",
update notebook
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset 48000 8 logs/{MODELNAME} True\n"
],
"metadata": {
"id": "ZKAyuKb9J6dz"
},
"execution_count": null,
"outputs": []
为笔记本添加更多功能
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},
{
"cell_type": "code",
"source": [
"#@title 手动提取特征（不推荐）\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"\n",
"!python3 extract_feature_print.py 1 0 0 logs/{MODELNAME}\n"
update notebook
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],
"metadata": {
"id": "CrxJqzAUKmPJ"
},
"execution_count": null,
"outputs": []
为笔记本添加更多功能
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},
{
"cell_type": "code",
add colab
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"source": [
"#@title 手动训练（不推荐）\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
为笔记本添加更多功能
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"#@markdown 停止的epoch\n",
update notebook
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"MODELEPOCH = 800 #@param {type:\"integer\"}\n",
为笔记本添加更多功能
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"#@markdown 保存epoch间隔\n",
"EPOCHSAVE = 20 #@param {type:\"integer\"}\n",
"#@markdown 采样率\n",
"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
"\n",
"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs 32 -g 0 -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l 0 -c 1\n"
update notebook
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],
"metadata": {
"id": "IMLPLKOaKj58"
},
"execution_count": null,
"outputs": []
为笔记本添加更多功能
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},
{
"cell_type": "code",
"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",
update notebook
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"MODELEPOCH = 7700 #@param {type:\"integer\"}\n",
为笔记本添加更多功能
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"\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",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
"\n",
"!echo \"正在删除。。。\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!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}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
update notebook
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],
"metadata": {
"id": "haYA81hySuDl"
},
"execution_count": null,
"outputs": []
为笔记本添加更多功能
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},
{
"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",
update notebook
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"MODELEPOCH = 7700 #@param {type:\"integer\"}\n",
为笔记本添加更多功能
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"\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",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
add colab
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"\n",
为笔记本添加更多功能
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"!echo \"正在删除。。。\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
add colab
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"\n",
为笔记本添加更多功能
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"!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}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
add colab
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"\n",
为笔记本添加更多功能
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"!echo \"删除完成\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
update notebook
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],
"metadata": {
"id": "QhSiPTVPoIRh"
},
"execution_count": null,
"outputs": []
add colab
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}
update notebook
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]
}
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