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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"
},
"cells": [
{
"cell_type": "markdown",
"source": [
"[](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)"
],
"metadata": {
"id": "ZFFCx5J80SGa"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GmFP6bN9dvOq"
},
"outputs": [],
"source": [
"#@title View graphics card\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"source": [
"#@title Install dependencies\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-cpu==1.7.2 fairseq gradio==3.14.0 ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2"
],
"metadata": {
"id": "wjddIFr1oS3W"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Clone repository\n",
"\n",
"!git clone --depth=1 -b stable https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"!mkdir -p pretrained uvr5_weights"
],
"metadata": {
"id": "ge_97mfpgqTm"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Update the warehouse (generally no need to execute)\n",
"!git pull"
],
"metadata": {
"id": "BLDEZADkvlw1"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Install aria2\n",
"!apt -y install -qq aria2"
],
"metadata": {
"id": "pqE0PrnuRqI2"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Download the base model\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"
],
"metadata": {
"id": "UG3XpUwEomUz"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Download the Vocal Separation Model\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"
],
"metadata": {
"id": "HugjmZqZRuiF"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Download 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"
],
"metadata": {
"id": "2RCaT9FTR0ej"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Mount Google Drive\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"metadata": {
"id": "jwu07JgqoFON"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Load the packaged dataset from Google Cloud Drive to /content/dataset\n",
"\n",
"#@markdown Data set location\n",
"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
"\n",
"!mkdir -p /content/dataset\n",
"!unzip -d /content/dataset -B {DATASET}"
],
"metadata": {
"id": "Mwk7Q0Loqzjx"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Rename duplicate files in the dataset \n",
"!ls -a /content/dataset/\n",
"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
],
"metadata": {
"id": "PDlFxWHWEynD"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title start web \n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"# %load_ext tensorboard\n",
"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
"!python3 infer-web.py --colab --pycmd python3"
],
"metadata": {
"id": "7vh6vphDwO0b"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Manually back up the trained model files to Google Drive \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 Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown Model 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",
"!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"
],
"metadata": {
"id": "FgJuNeAwx5Y_"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Restore pth from Google Drive\n",
"#@markdown You need to check the model file name in the logs folder yourself and manually modify the file name at the end of the command below\n",
"\n",
"#@markdown Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown Model epoch\n",
"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
"\n",
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"\n",
"!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!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"
],
"metadata": {
"id": "OVQoLQJXS7WX"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Manual preprocessing (not recommended)\n",
"#@markdown Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown Sampling rate\n",
"BITRATE = 48000 #@param {type:\"integer\"}\n",
"#@markdown Number of processes used\n",
"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
"\n",
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
],
"metadata": {
"id": "ZKAyuKb9J6dz"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Manual feature extraction (not recommended)\n",
"#@markdown Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown Number of processes used\n",
"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
"#@markdown Pitch Extraction Algorithm\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"
],
"metadata": {
"id": "CrxJqzAUKmPJ"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Manual training (not recommended)\n",
"#@markdown Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown GPU used\n",
"USEGPU = \"0\" #@param {type:\"string\"}\n",
"#@markdown batch size\n",
"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
"#@markdown Stopped epoch\n",
"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
"#@markdown Save epoch interval\n",
"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
"#@markdown Sampling rate\n",
"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
"#@markdown Whether to cache the training set\n",
"CACHEDATA = 1 #@param {type:\"integer\"}\n",
"#@markdown Whether to save only the latest ckpt file\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"
],
"metadata": {
"id": "IMLPLKOaKj58"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Delete other pths and keep only the selected ones (be careful and read the code carefully)\n",
"#@markdown Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown Select model epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"\n",
"!echo \"Back up the selected model...\"\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 \"Deleting...\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
"\n",
"!echo \"Restore the selected model...\"\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 \"Deletion completed\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
],
"metadata": {
"id": "haYA81hySuDl"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Clear all files under the project and leave only the selected model (be careful and read the code carefully)\n",
"#@markdown Model name\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown Select model epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"\n",
"!echo \"Back up the selected model...\"\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 \"Deleting...\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
"\n",
"!echo \"Restore the selected model...\"\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 \"Deletion completed\"\n",
"!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
],
"metadata": {
"id": "QhSiPTVPoIRh"
},
"execution_count": null,
"outputs": []
}
]
}
|