mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-01-23 13:35:12 +03:00
1595 lines
59 KiB
Plaintext
1595 lines
59 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/master/SoftVcDemo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# このノートブックは管理されていません。\n",
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"# VCClientをColabで使用する場合は、次のノートブックをご使用ください。\n",
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"\n",
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"# This notebook is not being managed.\n",
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"# If you're using VCClient in Colab, please use the following notebook.\n",
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"\n",
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"https://github.com/w-okada/voice-changer/blob/master/Realtime_Voice_Changer_on_Colab.ipynb\n",
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"\n",
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"\n"
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],
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"metadata": {
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"id": "NOiKHadoysaB"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"Voice Changer (soft-vc)\n",
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"---\n",
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"\n",
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"This note is a demo version of Voice Changer for soft-vc. This demo is customized so as to run on Colab.\n",
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"\n",
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"The full version is an application that runs on Docker on a local PC.\n",
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"\n",
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"In general, the official version can convert audio smoothly with less time lag.\n",
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"\n",
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"Detailed usage instructions can be found in [this repository](https://github.com/w-okada/voice-changer)."
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],
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"metadata": {
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||
"id": "1ZGMhH_TqK-g"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"# Check GPU\n",
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"GPU is required for soft-vc. Confirm GPU is assigned."
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],
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"metadata": {
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||
"id": "s4nKpd5ArRky"
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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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"# (1) Confirm GPU\n",
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"!nvidia-smi"
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],
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"metadata": {
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||
"id": "cGXhQNzhrQxO",
|
||
"outputId": "94ff2bc1-605a-4e6a-b33b-705163892777",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Sat Oct 29 00:50:05 2022 \n",
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"+-----------------------------------------------------------------------------+\n",
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"| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |\n",
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"|-------------------------------+----------------------+----------------------+\n",
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"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
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"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
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"| | | MIG M. |\n",
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"|===============================+======================+======================|\n",
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"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
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"| N/A 67C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |\n",
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"| | | N/A |\n",
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"+-------------------------------+----------------------+----------------------+\n",
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" \n",
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"+-----------------------------------------------------------------------------+\n",
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"| Processes: |\n",
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"| GPU GI CI PID Type Process name GPU Memory |\n",
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"| ID ID Usage |\n",
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"|=============================================================================|\n",
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"| No running processes found |\n",
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"+-----------------------------------------------------------------------------+\n"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# Install and import modules\n",
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"Install required modules.\n"
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],
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"metadata": {
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"id": "RN5bYStxr5eI"
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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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"# (2-1) Install Modules\n",
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"!pip install fastapi\n",
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"!pip install uvicorn\n"
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],
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"metadata": {
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||
"id": "od54JTHBrysO",
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"outputId": "82736831-751e-4e28-8c29-90c95e7b86b8",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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"Collecting fastapi\n",
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" Downloading fastapi-0.85.1-py3-none-any.whl (55 kB)\n",
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"\u001b[K |████████████████████████████████| 55 kB 1.5 MB/s \n",
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"\u001b[?25hCollecting starlette==0.20.4\n",
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" Downloading starlette-0.20.4-py3-none-any.whl (63 kB)\n",
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"\u001b[K |████████████████████████████████| 63 kB 1.3 MB/s \n",
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"\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.7/dist-packages (from fastapi) (1.10.2)\n",
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"Collecting anyio<5,>=3.4.0\n",
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" Downloading anyio-3.6.2-py3-none-any.whl (80 kB)\n",
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"\u001b[K |████████████████████████████████| 80 kB 9.6 MB/s \n",
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"\u001b[?25hRequirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.7/dist-packages (from starlette==0.20.4->fastapi) (4.1.1)\n",
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"Collecting sniffio>=1.1\n",
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" Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
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"Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.7/dist-packages (from anyio<5,>=3.4.0->starlette==0.20.4->fastapi) (2.10)\n",
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"Installing collected packages: sniffio, anyio, starlette, fastapi\n",
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"Successfully installed anyio-3.6.2 fastapi-0.85.1 sniffio-1.3.0 starlette-0.20.4\n",
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"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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"Collecting uvicorn\n",
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" Downloading uvicorn-0.19.0-py3-none-any.whl (56 kB)\n",
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"\u001b[K |████████████████████████████████| 56 kB 5.0 MB/s \n",
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"\u001b[?25hCollecting h11>=0.8\n",
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" Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
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"\u001b[K |████████████████████████████████| 58 kB 7.0 MB/s \n",
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"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
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"Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
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"Installing collected packages: h11, uvicorn\n",
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||
"Successfully installed h11-0.14.0 uvicorn-0.19.0\n"
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]
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||
}
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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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"# (2-2) Import Modules\n",
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"import torch"
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],
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"metadata": {
|
||
"id": "eCb2j68vsqxB"
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},
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"execution_count": null,
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"outputs": []
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},
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||
{
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||
"cell_type": "markdown",
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"source": [
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||
"# Load models\n",
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"soft-vc needs 3 models."
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],
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"metadata": {
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||
"id": "wtPl3S3Xsfmp"
|
||
}
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||
},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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||
"id": "WO8XzrFMZGoj",
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||
"colab": {
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||
"base_uri": "https://localhost:8080/",
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"height": 324,
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"referenced_widgets": [
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]
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||
},
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||
"outputId": "d494a045-1455-4e54-9618-0bc9041d7c4f"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stderr",
|
||
"text": [
|
||
"/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
|
||
" \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
|
||
"Downloading: \"https://github.com/bshall/hubert/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
|
||
"Downloading: \"https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0d54a1f4.pt\n"
|
||
]
|
||
},
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||
{
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||
"output_type": "display_data",
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"data": {
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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||
"version_minor": 0,
|
||
"model_id": "448ffee4cfcc46e9901407ff874e66da"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "stream",
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||
"name": "stderr",
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||
"text": [
|
||
"/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
|
||
" \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
|
||
"Downloading: \"https://github.com/bshall/acoustic-model/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
|
||
"Downloading: \"https://github.com/bshall/acoustic-model/releases/download/v0.1/hubert-soft-0321fd7e.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0321fd7e.pt\n"
|
||
]
|
||
},
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||
{
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"output_type": "display_data",
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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||
"version_minor": 0,
|
||
"model_id": "fee6169deac949fbbb133dc68fd2e932"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stderr",
|
||
"text": [
|
||
"Downloading: \"https://github.com/bshall/hifigan/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
|
||
"Downloading: \"https://github.com/bshall/hifigan/releases/download/v0.1/hifigan-hubert-discrete-bbad3043.pt\" to /root/.cache/torch/hub/checkpoints/hifigan-hubert-discrete-bbad3043.pt\n"
|
||
]
|
||
},
|
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{
|
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"output_type": "display_data",
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
|
||
"version_minor": 0,
|
||
"model_id": "efc33a54c86a4ce295d5c36868f033e5"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Removing weight norm...\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# (3) Load modules\n",
|
||
"hubert = torch.hub.load(\"bshall/hubert:main\", \"hubert_soft\").cuda()\n",
|
||
"acoustic = torch.hub.load(\"bshall/acoustic-model:main\", \"hubert_soft\").cuda()\n",
|
||
"hifigan = torch.hub.load(\"bshall/hifigan:main\", \"hifigan_hubert_soft\").cuda()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"# Clone repository and configure\n"
|
||
],
|
||
"metadata": {
|
||
"id": "N0_ELMyls0Yl"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "lzo_ZWmAjaby",
|
||
"outputId": "91b98713-b045-4acc-a51f-421ca16565a8"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Cloning into 'voice-changer'...\n",
|
||
"remote: Enumerating objects: 81, done.\u001b[K\n",
|
||
"remote: Counting objects: 100% (81/81), done.\u001b[K\n",
|
||
"remote: Compressing objects: 100% (68/68), done.\u001b[K\n",
|
||
"remote: Total 81 (delta 12), reused 51 (delta 5), pack-reused 0\u001b[K\n",
|
||
"Unpacking objects: 100% (81/81), done.\n",
|
||
"Note: checking out 'f8823cb7e2025f13227f5918408cceda224bf9f0'.\n",
|
||
"\n",
|
||
"You are in 'detached HEAD' state. You can look around, make experimental\n",
|
||
"changes and commit them, and you can discard any commits you make in this\n",
|
||
"state without impacting any branches by performing another checkout.\n",
|
||
"\n",
|
||
"If you want to create a new branch to retain commits you create, you may\n",
|
||
"do so (now or later) by using -b with the checkout command again. Example:\n",
|
||
"\n",
|
||
" git checkout -b <new-branch-name>\n",
|
||
"\n",
|
||
"/content/voice-changer/demo\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# (4-1) Clone Repository\n",
|
||
"!git clone --depth 1 https://github.com/w-okada/voice-changer.git -b ver_1.0\n",
|
||
"%cd voice-changer/demo/"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"id": "8-z9j4e_j-Wb",
|
||
"outputId": "e7cd3270-42dd-4f6c-912c-cdb0718c04cf",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"{\n",
|
||
" \"app_title\": \"voice-changer[soft-vc]\",\n",
|
||
" \"majar_mode\": \"colab\",\n",
|
||
" \"voice_changer_server_url\": \"/test\",\n",
|
||
" \"sample_rate\": 48000,\n",
|
||
" \"buffer_size\": 1024,\n",
|
||
" \"prefix_chunk_size\": 60,\n",
|
||
" \"chunk_size\": 60,\n",
|
||
" \"speaker_ids\": [999, 107],\n",
|
||
" \"speaker_names\": [\"---\", \"user\"],\n",
|
||
" \"src_id\": 107,\n",
|
||
" \"dst_id\": 999,\n",
|
||
" \"vf_enable\": true,\n",
|
||
" \"voice_changer_mode\": \"realtime\",\n",
|
||
" \"gpu\": 0,\n",
|
||
" \"available_gpus\": [0],\n",
|
||
" \"avatar\": {\n",
|
||
" \"enable_avatar\": true,\n",
|
||
" \"motion_capture_face\": true,\n",
|
||
" \"motion_capture_upperbody\": true,\n",
|
||
" \"lip_overwrite_with_voice\": true,\n",
|
||
" \"avatar_url\": \"./assets/vrm/zundamon/zundamon.vrm\",\n",
|
||
" \"backgournd_image_url\": \"./assets/images/bg_natural_sougen.jpg\",\n",
|
||
" \"background_color\": \"#0000dd\",\n",
|
||
" \"chroma_key\": \"#0000dd\",\n",
|
||
" \"avatar_canvas_size\": [1280, 720],\n",
|
||
" \"screen_canvas_size\": [1280, 720]\n",
|
||
" },\n",
|
||
" \"advance\": {\n",
|
||
" \"avatar_draw_skip_rate\": 3,\n",
|
||
" \"screen_draw_skip_rate\": 3,\n",
|
||
" \"visualizer_draw_skip_rate\": 3,\n",
|
||
" \"cross_fade_lower_value\": 0.1,\n",
|
||
" \"cross_fade_offset_rate\": 0.3,\n",
|
||
" \"cross_fade_end_rate\": 0.6,\n",
|
||
" \"cross_fade_type\": 2\n",
|
||
" }\n",
|
||
"}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# (4-2) settle the config file\n",
|
||
"!cp ../template/setting_softvc_colab.json ../frontend/dist/assets/setting.json\n",
|
||
"!cat ../frontend/dist/assets/setting.json\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"# Invoke server\n",
|
||
"\n",
|
||
"Invoke server with below (5-1)cell. And wait for ready with the command in (5-2)cell.\n",
|
||
"\n",
|
||
"Please wait for a while, then you can see the messsage.\n",
|
||
"`Application startup complete.`."
|
||
],
|
||
"metadata": {
|
||
"id": "hZAE_4gYtGOz"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"id": "-iPiSzvAepCl"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# (5-1) Invoke server\n",
|
||
"PORT=8092\n",
|
||
"get_ipython().system_raw(f'python3 SoftVcServerFastAPI.py {PORT} colab >foo 2>&1 &')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "IiWSwDjQidc7",
|
||
"outputId": "7611ea92-4841-4c53-f727-e950c0a2cf20"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
|
||
"INFO: Will watch for changes in these directories: ['/content/voice-changer/demo']\n",
|
||
"INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)\n",
|
||
"INFO: Started reloader process [209] using StatReload\n",
|
||
"ENV: colab\n",
|
||
"Removing weight norm...\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
|
||
"Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
|
||
"INFO: Started server process [218]\n",
|
||
"INFO: Waiting for application startup.\n",
|
||
"INFO: Application startup complete.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# (5-2) Check server status (Run with Ctrl+Ret)\n",
|
||
"!cat foo"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"source": [
|
||
"# Invoke Proxy\n",
|
||
"Starts a proxy to access the web server.\n",
|
||
"\n",
|
||
"Click on the URL displayed to open it and the application will open in a separate tab.\n",
|
||
"\n",
|
||
"Since it is a Colab, it will take some time to load (about 30 seconds)."
|
||
],
|
||
"metadata": {
|
||
"id": "bHATIjjNuFFy"
|
||
}
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from google.colab.output import eval_js\n",
|
||
"proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
|
||
"print(f\"{proxy}front/\")"
|
||
],
|
||
"metadata": {
|
||
"id": "H8EpnHqDjknR",
|
||
"outputId": "b0db9b8a-cc92-4d88-9913-055362b20a9d",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 34
|
||
}
|
||
},
|
||
"execution_count": null,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"https://zbz8418h3es-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
|
||
]
|
||
}
|
||
]
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||
},
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{
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||
"cell_type": "code",
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||
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||
"metadata": {
|
||
"id": "0XQDeuYijm3Y"
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||
},
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||
"execution_count": null,
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"outputs": []
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||
}
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||
],
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"metadata": {
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"accelerator": "GPU",
|
||
"colab": {
|
||
"provenance": [],
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||
"authorship_tag": "ABX9TyPplIZOpDSd6hZqbrwRvhm8",
|
||
"include_colab_link": true
|
||
},
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||
"gpuClass": "standard",
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
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"name": "python"
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},
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