mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-01-07 03:16:48 +08:00
351 lines
16 KiB
Plaintext
351 lines
16 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/hinabl/voice-changer-colab/blob/master/Hina_Modified_Realtime_Voice_Changer_on_Colab.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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"metadata": {
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"id": "Lbbmx_Vjl0zo"
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},
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"source": [
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"### w-okada's Voice Changer | **Google Colab**\n",
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"\n",
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"---\n",
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"\n",
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"##**READ ME - VERY IMPORTANT**\n",
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"\n",
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"This is an attempt to run [Realtime Voice Changer](https://github.com/w-okada/voice-changer) on Google Colab, still not perfect but is totally usable, you can use the following settings for better results:\n",
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"\n",
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"If you're using a index: `f0: RMVPE_ONNX | Chunk: 112 or higher | Extra: 8192`\\\n",
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"If you're not using a index: `f0: RMVPE_ONNX | Chunk: 96 or higher | Extra: 16384`\\\n",
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"**Don't forget to select your Colab GPU in the GPU field (<b>Tesla T4</b>, for free users)*\n",
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"> Seems that PTH models performance better than ONNX for now, you can still try ONNX models and see if it satisfies you\n",
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"\n",
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"\n",
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"*You can always [click here](https://rentry.co/VoiceChangerGuide#gpu-chart-for-known-working-chunkextra\n",
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") to check if these settings are up-to-date*\n",
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"<br><br>\n",
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"\n",
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"---\n",
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"\n",
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"###Always use Colab GPU (**VERY VERY VERY IMPORTANT!**)\n",
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"You need to use a Colab GPU so the Voice Changer can work faster and better\\\n",
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"Use the menu above and click on **Runtime** » **Change runtime** » **Hardware acceleration** to select a GPU (**T4 is the free one**)\n",
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"\n",
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"---\n",
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"\n",
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"<br>\n",
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"\n",
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"# **Credits and Support**\n",
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"Realtime Voice Changer by [w-okada](https://github.com/w-okada)\\\n",
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"Colab files updated by [rafacasari](https://github.com/Rafacasari)\\\n",
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"Recommended settings by [Raven](https://github.com/ravencutie21)\\\n",
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"Modified again by [Hina](https://huggingface.co/HinaBl)\n",
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"\n",
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"Need help? [AI Hub Discord](https://discord.gg/aihub) » ***#help-realtime-vc***\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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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "86wTFmqsNMnD",
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"cellView": "form"
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},
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"outputs": [],
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"source": [
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"#=================Updated=================\n",
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"# @title **[1]** Clone repository and install dependencies\n",
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"# @markdown This first step will download the latest version of Voice Changer and install the dependencies. **It can take some time to complete.**\n",
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"import os\n",
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"import time\n",
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"import subprocess\n",
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"import threading\n",
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"import shutil\n",
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"import base64\n",
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"import codecs\n",
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"\n",
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"\n",
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"\n",
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"#@markdown ---\n",
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"# @title **[Optional]** Connect to Google Drive\n",
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"# @markdown Using Google Drive can improve load times a bit and your models will be stored, so you don't need to re-upload every time that you use.\n",
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"\n",
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"Use_Drive=False #@param {type:\"boolean\"}\n",
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"\n",
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"from google.colab import drive\n",
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"\n",
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"if Use_Drive==True:\n",
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" if not os.path.exists('/content/drive'):\n",
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" drive.mount('/content/drive')\n",
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"\n",
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" %cd /content/drive/MyDrive\n",
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"\n",
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"\n",
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"externalgit=codecs.decode('uggcf://tvguho.pbz/j-bxnqn/ibvpr-punatre.tvg','rot_13')\n",
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"rvctimer=codecs.decode('uggcf://tvguho.pbz/uvanoy/eipgvzre.tvg','rot_13')\n",
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"pathloc=codecs.decode('ibvpr-punatre','rot_13')\n",
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"\n",
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"from IPython.display import clear_output, Javascript\n",
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"\n",
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"def update_timer_and_print():\n",
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" global timer\n",
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" while True:\n",
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" hours, remainder = divmod(timer, 3600)\n",
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" minutes, seconds = divmod(remainder, 60)\n",
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" timer_str = f'{hours:02}:{minutes:02}:{seconds:02}'\n",
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" print(f'\\rTimer: {timer_str}', end='', flush=True) # Print without a newline\n",
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" time.sleep(1)\n",
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" timer += 1\n",
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"timer = 0\n",
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"threading.Thread(target=update_timer_and_print, daemon=True).start()\n",
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"\n",
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"!pip install colorama --quiet\n",
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"from colorama import Fore, Style\n",
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"\n",
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"print(f\"{Fore.CYAN}> Cloning the repository...{Style.RESET_ALL}\")\n",
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"!git clone --depth 1 $externalgit &> /dev/null\n",
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"print(f\"{Fore.GREEN}> Successfully cloned the repository!{Style.RESET_ALL}\")\n",
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"%cd $pathloc/server/\n",
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"\n",
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"# Read the content of the file\n",
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"file_path = '../client/demo/dist/assets/gui_settings/version.txt'\n",
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"\n",
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"with open(file_path, 'r') as file:\n",
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" file_content = file.read()\n",
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"\n",
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"# Replace the specific text\n",
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"text_to_replace = \"-.-.-.-\"\n",
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"new_text = \"Google.Colab\" # New text to replace the specific text\n",
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"\n",
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"modified_content = file_content.replace(text_to_replace, new_text)\n",
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"\n",
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"# Write the modified content back to the file\n",
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"with open(file_path, 'w') as file:\n",
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" file.write(modified_content)\n",
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"\n",
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"print(f\"Text '{text_to_replace}' has been replaced with '{new_text}' in the file.\")\n",
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"\n",
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"print(f\"{Fore.CYAN}> Installing libportaudio2...{Style.RESET_ALL}\")\n",
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"!apt-get -y install libportaudio2 -qq\n",
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"\n",
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"!sed -i '/torch==/d' requirements.txt\n",
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"!sed -i '/torchaudio==/d' requirements.txt\n",
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"!sed -i '/numpy==/d' requirements.txt\n",
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"\n",
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"\n",
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"print(f\"{Fore.CYAN}> Installing pre-dependencies...{Style.RESET_ALL}\")\n",
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"# Install dependencies that are missing from requirements.txt and pyngrok\n",
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"!pip install faiss-gpu fairseq pyngrok --quiet\n",
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"!pip install pyworld --no-build-isolation --quiet\n",
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"# Install webstuff\n",
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"import asyncio\n",
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"import re\n",
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"!pip install playwright\n",
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"!playwright install\n",
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"!playwright install-deps\n",
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"!pip install nest_asyncio\n",
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"from playwright.async_api import async_playwright\n",
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"print(f\"{Fore.CYAN}> Installing dependencies from requirements.txt...{Style.RESET_ALL}\")\n",
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"!pip install -r requirements.txt --quiet\n",
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"clear_output()\n",
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"print(f\"{Fore.GREEN}> Successfully installed all packages!{Style.RESET_ALL}\")"
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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 **[Optional]** Upload a voice model (Run this before running the Voice Changer)\n",
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"import os\n",
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"import json\n",
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"from IPython.display import Image\n",
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"import requests\n",
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"\n",
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"model_slot = \"0\" #@param ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '190', '191', '192', '193', '194', '195', '196', '197', '198', '199']\n",
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"\n",
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"!rm -rf model_dir/$model_slot\n",
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"#@markdown **[Optional]** Add an icon to the model\n",
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"icon_link = \"https://cdn.donmai.us/sample/12/57/__rin_penrose_idol_corp_drawn_by_juu_ame__sample-12579843de9487cf2db82058ba5e77d4.jpg\" #@param {type:\"string\"}\n",
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"icon_link = '\"'+icon_link+'\"'\n",
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"!mkdir model_dir\n",
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"!mkdir model_dir/$model_slot\n",
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"#@markdown Put your model's download link here `(must be a zip file)` only supports **weights.gg** & **huggingface.co**\n",
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"model_link = \"https://huggingface.co/HinaBl/Rin-Penrose/resolve/main/RinPenrose600.zip?download=true\" #@param {type:\"string\"}\n",
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"\n",
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"if model_link.startswith(\"https://www.weights.gg\") or model_link.startswith(\"https://weights.gg\"):\n",
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" weights_code = requests.get(\"https://pastebin.com/raw/ytHLr8h0\").text\n",
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" exec(weights_code)\n",
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"else:\n",
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" model_link = model_link\n",
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"\n",
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"model_link = '\"'+model_link+'\"'\n",
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"!curl -L $model_link > model.zip\n",
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"\n",
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"# Conditionally set the iconFile based on whether icon_link is empty\n",
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"if icon_link:\n",
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" iconFile = \"icon.png\"\n",
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" !curl -L $icon_link > model_dir/$model_slot/icon.png\n",
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"else:\n",
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" iconFile = \"\"\n",
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" print(\"icon_link is empty, so no icon file will be downloaded.\")\n",
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"\n",
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"!unzip model.zip -d model_dir/$model_slot\n",
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"\n",
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"!mv model_dir/$model_slot/*/* model_dir/$model_slot/\n",
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"!rm -rf model_dir/$model_slot/*/\n",
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"#@markdown **Model Voice Convertion Setting**\n",
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"Tune = 12 #@param {type:\"slider\",min:-50,max:50,step:1}\n",
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"Index = 0 #@param {type:\"slider\",min:0,max:1,step:0.1}\n",
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"\n",
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"param_link = \"\"\n",
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"if param_link == \"\":\n",
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" paramset = requests.get(\"https://pastebin.com/raw/SAKwUCt1\").text\n",
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" exec(paramset)\n",
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"\n",
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"clear_output()\n",
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"print(\"\\033[93mModel with the name of \"+model_name+\" has been Imported to slot \"+model_slot)"
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],
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"metadata": {
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"id": "_ZtbKUVUgN3G",
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"cellView": "form"
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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": "code",
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"execution_count": null,
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"metadata": {
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"id": "lLWQuUd7WW9U",
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"cellView": "form"
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},
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"outputs": [],
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"source": [
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"\n",
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"#=======================Updated=========================\n",
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"\n",
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"# @title Start Server **using ngrok**\n",
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"# @markdown This cell will start the server, the first time that you run it will download the models, so it can take a while (~1-2 minutes)\n",
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"\n",
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"# @markdown ---\n",
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"# @markdown You'll need a ngrok account, but <font color=green>**it's free**</font> and easy to create!\n",
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"# @markdown ---\n",
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"# @markdown **1** - Create a <font color=green>**free**</font> account at [ngrok](https://dashboard.ngrok.com/signup) or **login with Google/Github account**\\\n",
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"# @markdown **2** - If you didn't logged in with Google/Github, you will need to **verify your e-mail**!\\\n",
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"# @markdown **3** - Click [this link](https://dashboard.ngrok.com/get-started/your-authtoken) to get your auth token, and place it here:\n",
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"Token = 'TOKEN_HERE' # @param {type:\"string\"}\n",
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"# @markdown **4** - *(optional)* Change to a region near to you or keep at United States if increase latency\\\n",
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"# @markdown `Default Region: us - United States (Ohio)`\n",
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"Region = \"us - United States (Ohio)\" # @param [\"ap - Asia/Pacific (Singapore)\", \"au - Australia (Sydney)\",\"eu - Europe (Frankfurt)\", \"in - India (Mumbai)\",\"jp - Japan (Tokyo)\",\"sa - South America (Sao Paulo)\", \"us - United States (Ohio)\"]\n",
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"\n",
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"#@markdown **5** - *(optional)* Other options:\n",
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"ClearConsole = True # @param {type:\"boolean\"}\n",
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"Play_Notification = True # @param {type:\"boolean\"}\n",
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"\n",
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"# ---------------------------------\n",
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"# DO NOT TOUCH ANYTHING DOWN BELOW!\n",
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"# ---------------------------------\n",
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"\n",
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"%cd $pathloc/server/\n",
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"\n",
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"from pyngrok import conf, ngrok\n",
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"MyConfig = conf.PyngrokConfig()\n",
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"MyConfig.auth_token = Token\n",
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"MyConfig.region = Region[0:2]\n",
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"#conf.get_default().authtoken = Token\n",
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"#conf.get_default().region = Region\n",
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"conf.set_default(MyConfig);\n",
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"\n",
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"import subprocess, threading, time, socket, urllib.request\n",
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"PORT = 8000\n",
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"\n",
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"from pyngrok import ngrok\n",
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"ngrokConnection = ngrok.connect(PORT)\n",
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"public_url = ngrokConnection.public_url\n",
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"\n",
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"from IPython.display import clear_output\n",
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"from IPython.display import Audio, display\n",
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"def play_notification_sound():\n",
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" display(Audio(url='https://raw.githubusercontent.com/hinabl/rmvpe-ai-kaggle/main/custom/audios/notif.mp3', autoplay=True))\n",
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"\n",
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"\n",
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"def wait_for_server():\n",
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" while True:\n",
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" time.sleep(0.5)\n",
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" sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
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" result = sock.connect_ex(('127.0.0.1', PORT))\n",
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" if result == 0:\n",
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" break\n",
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" sock.close()\n",
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" if ClearConsole:\n",
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" clear_output()\n",
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" print(\"--------- SERVER READY! ---------\")\n",
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" print(\"Your server is available at:\")\n",
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" print(public_url)\n",
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" print(\"---------------------------------\")\n",
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" if Play_Notification==True:\n",
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" play_notification_sound()\n",
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"\n",
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"threading.Thread(target=wait_for_server, daemon=True).start()\n",
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"\n",
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"mainpy=codecs.decode('ZZIPFreireFVB.cl','rot_13')\n",
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"\n",
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"!python3 $mainpy \\\n",
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" -p {PORT} \\\n",
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" --https False \\\n",
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" --content_vec_500 pretrain/checkpoint_best_legacy_500.pt \\\n",
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" --content_vec_500_onnx pretrain/content_vec_500.onnx \\\n",
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" --content_vec_500_onnx_on true \\\n",
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" --hubert_base pretrain/hubert_base.pt \\\n",
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" --hubert_base_jp pretrain/rinna_hubert_base_jp.pt \\\n",
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" --hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \\\n",
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" --nsf_hifigan pretrain/nsf_hifigan/model \\\n",
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" --crepe_onnx_full pretrain/crepe_onnx_full.onnx \\\n",
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" --crepe_onnx_tiny pretrain/crepe_onnx_tiny.onnx \\\n",
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" --rmvpe pretrain/rmvpe.pt \\\n",
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" --model_dir model_dir \\\n",
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" --samples samples.json\n",
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"\n",
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"ngrok.disconnect(ngrokConnection.public_url)"
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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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"![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)\n",
|
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"![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)"
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],
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"metadata": {
|
|
"id": "2Uu1sTSwTc7q"
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}
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}
|
|
],
|
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"metadata": {
|
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"colab": {
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"provenance": [],
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"private_outputs": true,
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"gpuType": "T4",
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"include_colab_link": true
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU"
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},
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"nbformat": 4,
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"nbformat_minor": 0
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} |