{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/dev/SoftVcDemo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"Voice Changer (soft-vc)\n",
"---\n",
"\n",
"This note is a demo version of Voice Changer for soft-vc. This demo is customized so as to run on Colab.\n",
"\n",
"The full version is an application that runs on Docker on a local PC.\n",
"\n",
"In general, the official version can convert audio smoothly with less time lag.\n",
"\n",
"Detailed usage instructions can be found in [this repository](https://github.com/w-okada/voice-changer)."
],
"metadata": {
"id": "1ZGMhH_TqK-g"
}
},
{
"cell_type": "markdown",
"source": [
"# Check GPU\n",
"GPU is required for soft-vc. Confirm GPU is assigned. "
],
"metadata": {
"id": "s4nKpd5ArRky"
}
},
{
"cell_type": "code",
"source": [
"# (1) Confirm GPU \n",
"!nvidia-smi"
],
"metadata": {
"id": "cGXhQNzhrQxO",
"outputId": "94ff2bc1-605a-4e6a-b33b-705163892777",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Sat Oct 29 00:50:05 2022 \n",
"+-----------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |\n",
"|-------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|===============================+======================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 67C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |\n",
"| | | N/A |\n",
"+-------------------------------+----------------------+----------------------+\n",
" \n",
"+-----------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=============================================================================|\n",
"| No running processes found |\n",
"+-----------------------------------------------------------------------------+\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Install and import modules \n",
"Install required modules.\n"
],
"metadata": {
"id": "RN5bYStxr5eI"
}
},
{
"cell_type": "code",
"source": [
"# (2-1) Install Modules\n",
"!pip install fastapi\n",
"!pip install uvicorn\n"
],
"metadata": {
"id": "od54JTHBrysO",
"outputId": "82736831-751e-4e28-8c29-90c95e7b86b8",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Collecting fastapi\n",
" Downloading fastapi-0.85.1-py3-none-any.whl (55 kB)\n",
"\u001b[K |████████████████████████████████| 55 kB 1.5 MB/s \n",
"\u001b[?25hCollecting starlette==0.20.4\n",
" Downloading starlette-0.20.4-py3-none-any.whl (63 kB)\n",
"\u001b[K |████████████████████████████████| 63 kB 1.3 MB/s \n",
"\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",
"Collecting anyio<5,>=3.4.0\n",
" Downloading anyio-3.6.2-py3-none-any.whl (80 kB)\n",
"\u001b[K |████████████████████████████████| 80 kB 9.6 MB/s \n",
"\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",
"Collecting sniffio>=1.1\n",
" Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
"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",
"Installing collected packages: sniffio, anyio, starlette, fastapi\n",
"Successfully installed anyio-3.6.2 fastapi-0.85.1 sniffio-1.3.0 starlette-0.20.4\n",
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Collecting uvicorn\n",
" Downloading uvicorn-0.19.0-py3-none-any.whl (56 kB)\n",
"\u001b[K |████████████████████████████████| 56 kB 5.0 MB/s \n",
"\u001b[?25hCollecting h11>=0.8\n",
" Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
"\u001b[K |████████████████████████████████| 58 kB 7.0 MB/s \n",
"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
"Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
"Installing collected packages: h11, uvicorn\n",
"Successfully installed h11-0.14.0 uvicorn-0.19.0\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# (2-2) Import Modules\n",
"import torch"
],
"metadata": {
"id": "eCb2j68vsqxB"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Load models\n",
"soft-vc needs 3 models."
],
"metadata": {
"id": "wtPl3S3Xsfmp"
}
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "WO8XzrFMZGoj",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 324,
"referenced_widgets": [
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"f82aecbc83dd4ba5b4e6a1ba7b6bfddd",
"7d25f1e877ec48718a5ec8a136ef8f57",
"a73ad267948e48c58e5d68da0de03e0b",
"b1110b3fa84c4303ad9c14d97fd55800",
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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"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
" 0%| | 0.00/361M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "448ffee4cfcc46e9901407ff874e66da"
}
},
"metadata": {}
},
{
"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/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"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
" 0%| | 0.00/71.8M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"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"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
" 0%| | 0.00/54.9M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"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": 5,
"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": 6,
"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": 7,
"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": 10,
"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": 11,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"https://zbz8418h3es-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "0XQDeuYijm3Y"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"collapsed_sections": [],
"provenance": [],
"authorship_tag": "ABX9TyNIoYdRE9rtKaA9+L9JwdPZ",
"include_colab_link": true
},
"gpuClass": "standard",
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
},
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