{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "metadata": { "id": "Lbbmx_Vjl0zo" }, "source": [ "### w-okada's Voice Changer | **Google Colab**\n", "\n", "---\n", "\n", "##**READ ME - VERY IMPORTANT**\n", "\n", "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", "\n", "If you're using a index: `f0: RMVPE_ONNX | Chunk: 112 or higher | Extra: 8192`\\\n", "If you're not using a index: `f0: RMVPE_ONNX | Chunk: 96 or higher | Extra: 16384`\\\n", "**Don't forget to select your Colab GPU in the GPU field (Tesla T4, for free users)*\n", "> Seems that PTH models performance better than ONNX for now, you can still try ONNX models and see if it satisfies you\n", "\n", "\n", "*You can always [click here](https://rentry.co/VoiceChangerGuide#gpu-chart-for-known-working-chunkextra\n", ") to check if these settings are up-to-date*\n", "

\n", "\n", "---\n", "\n", "###Always use Colab GPU (**VERY VERY VERY IMPORTANT!**)\n", "You need to use a Colab GPU so the Voice Changer can work faster and better\\\n", "Use the menu above and click on **Runtime** » **Change runtime** » **Hardware acceleration** to select a GPU (**T4 is the free one**)\n", "\n", "---\n", "\n", "
\n", "\n", "# **Credits and Support**\n", "Realtime Voice Changer by [w-okada](https://github.com/w-okada)\\\n", "Colab files updated by [rafacasari](https://github.com/Rafacasari)\\\n", "Recommended settings by [Raven](https://github.com/ravencutie21)\\\n", "Modified again by [Hina](https://huggingface.co/HinaBl)\n", "\n", "Need help? [AI Hub Discord](https://discord.gg/aihub) » ***#help-realtime-vc***\n", "\n", "---" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "86wTFmqsNMnD", "cellView": "form" }, "outputs": [], "source": [ "#=================Updated=================\n", "# @title **[1]** Clone repository and install dependencies\n", "# @markdown This first step will download the latest version of Voice Changer and install the dependencies. **It can take some time to complete.**\n", "import os\n", "import time\n", "import subprocess\n", "import threading\n", "import shutil\n", "import base64\n", "import codecs\n", "\n", "\n", "\n", "#@markdown ---\n", "# @title **[Optional]** Connect to Google Drive\n", "# @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", "\n", "Use_Drive=False #@param {type:\"boolean\"}\n", "\n", "from google.colab import drive\n", "\n", "if Use_Drive==True:\n", " if not os.path.exists('/content/drive'):\n", " drive.mount('/content/drive')\n", "\n", " %cd /content/drive/MyDrive\n", "\n", "\n", "externalgit=codecs.decode('uggcf://tvguho.pbz/j-bxnqn/ibvpr-punatre.tvg','rot_13')\n", "rvctimer=codecs.decode('uggcf://tvguho.pbz/uvanoy/eipgvzre.tvg','rot_13')\n", "pathloc=codecs.decode('ibvpr-punatre','rot_13')\n", "\n", "from IPython.display import clear_output, Javascript\n", "\n", "def update_timer_and_print():\n", " global timer\n", " while True:\n", " hours, remainder = divmod(timer, 3600)\n", " minutes, seconds = divmod(remainder, 60)\n", " timer_str = f'{hours:02}:{minutes:02}:{seconds:02}'\n", " print(f'\\rTimer: {timer_str}', end='', flush=True) # Print without a newline\n", " time.sleep(1)\n", " timer += 1\n", "timer = 0\n", "threading.Thread(target=update_timer_and_print, daemon=True).start()\n", "\n", "!pip install colorama --quiet\n", "from colorama import Fore, Style\n", "\n", "print(f\"{Fore.CYAN}> Cloning the repository...{Style.RESET_ALL}\")\n", "!git clone --depth 1 $externalgit &> /dev/null\n", "print(f\"{Fore.GREEN}> Successfully cloned the repository!{Style.RESET_ALL}\")\n", "%cd $pathloc/server/\n", "\n", "# Read the content of the file\n", "file_path = '../client/demo/dist/assets/gui_settings/version.txt'\n", "\n", "with open(file_path, 'r') as file:\n", " file_content = file.read()\n", "\n", "# Replace the specific text\n", "text_to_replace = \"-.-.-.-\"\n", "new_text = \"Google.Colab\" # New text to replace the specific text\n", "\n", "modified_content = file_content.replace(text_to_replace, new_text)\n", "\n", "# Write the modified content back to the file\n", "with open(file_path, 'w') as file:\n", " file.write(modified_content)\n", "\n", "print(f\"Text '{text_to_replace}' has been replaced with '{new_text}' in the file.\")\n", "\n", "print(f\"{Fore.CYAN}> Installing libportaudio2...{Style.RESET_ALL}\")\n", "!apt-get -y install libportaudio2 -qq\n", "\n", "!sed -i '/torch==/d' requirements.txt\n", "!sed -i '/torchaudio==/d' requirements.txt\n", "!sed -i '/numpy==/d' requirements.txt\n", "\n", "\n", "print(f\"{Fore.CYAN}> Installing pre-dependencies...{Style.RESET_ALL}\")\n", "# Install dependencies that are missing from requirements.txt and pyngrok\n", "!pip install faiss-gpu fairseq pyngrok --quiet\n", "!pip install pyworld --no-build-isolation --quiet\n", "# Install webstuff\n", "import asyncio\n", "import re\n", "!pip install playwright\n", "!playwright install\n", "!playwright install-deps\n", "!pip install nest_asyncio\n", "from playwright.async_api import async_playwright\n", "print(f\"{Fore.CYAN}> Installing dependencies from requirements.txt...{Style.RESET_ALL}\")\n", "!pip install -r requirements.txt --quiet\n", "clear_output()\n", "print(f\"{Fore.GREEN}> Successfully installed all packages!{Style.RESET_ALL}\")" ] }, { "cell_type": "code", "source": [ "#@title **[Optional]** Upload a voice model (Run this before running the Voice Changer)\n", "import os\n", "import json\n", "from IPython.display import Image\n", "import requests\n", "\n", "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", "\n", "!rm -rf model_dir/$model_slot\n", "#@markdown **[Optional]** Add an icon to the model\n", "icon_link = \"https://cdn.donmai.us/sample/12/57/__rin_penrose_idol_corp_drawn_by_juu_ame__sample-12579843de9487cf2db82058ba5e77d4.jpg\" #@param {type:\"string\"}\n", "icon_link = '\"'+icon_link+'\"'\n", "!mkdir model_dir\n", "!mkdir model_dir/$model_slot\n", "#@markdown Put your model's download link here `(must be a zip file)` only supports **weights.gg** & **huggingface.co**\n", "model_link = \"https://huggingface.co/HinaBl/Rin-Penrose/resolve/main/RinPenrose600.zip?download=true\" #@param {type:\"string\"}\n", "\n", "if model_link.startswith(\"https://www.weights.gg\") or model_link.startswith(\"https://weights.gg\"):\n", " weights_code = requests.get(\"https://pastebin.com/raw/ytHLr8h0\").text\n", " exec(weights_code)\n", "else:\n", " model_link = model_link\n", "\n", "model_link = '\"'+model_link+'\"'\n", "!curl -L $model_link > model.zip\n", "\n", "# Conditionally set the iconFile based on whether icon_link is empty\n", "if icon_link:\n", " iconFile = \"icon.png\"\n", " !curl -L $icon_link > model_dir/$model_slot/icon.png\n", "else:\n", " iconFile = \"\"\n", " print(\"icon_link is empty, so no icon file will be downloaded.\")\n", "\n", "!unzip model.zip -d model_dir/$model_slot\n", "\n", "!mv model_dir/$model_slot/*/* model_dir/$model_slot/\n", "!rm -rf model_dir/$model_slot/*/\n", "#@markdown **Model Voice Convertion Setting**\n", "Tune = 12 #@param {type:\"slider\",min:-50,max:50,step:1}\n", "Index = 0 #@param {type:\"slider\",min:0,max:1,step:0.1}\n", "\n", "param_link = \"\"\n", "if param_link == \"\":\n", " paramset = requests.get(\"https://pastebin.com/raw/SAKwUCt1\").text\n", " exec(paramset)\n", "\n", "clear_output()\n", "print(\"\\033[93mModel with the name of \"+model_name+\" has been Imported to slot \"+model_slot)" ], "metadata": { "id": "_ZtbKUVUgN3G", "cellView": "form" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "lLWQuUd7WW9U", "cellView": "form" }, "outputs": [], "source": [ "\n", "#=======================Updated=========================\n", "\n", "# @title Start Server **using ngrok**\n", "# @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", "\n", "# @markdown ---\n", "# @markdown You'll need a ngrok account, but **it's free** and easy to create!\n", "# @markdown ---\n", "# @markdown **1** - Create a **free** account at [ngrok](https://dashboard.ngrok.com/signup) or **login with Google/Github account**\\\n", "# @markdown **2** - If you didn't logged in with Google/Github, you will need to **verify your e-mail**!\\\n", "# @markdown **3** - Click [this link](https://dashboard.ngrok.com/get-started/your-authtoken) to get your auth token, and place it here:\n", "Token = 'TOKEN_HERE' # @param {type:\"string\"}\n", "# @markdown **4** - *(optional)* Change to a region near to you or keep at United States if increase latency\\\n", "# @markdown `Default Region: us - United States (Ohio)`\n", "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", "\n", "#@markdown **5** - *(optional)* Other options:\n", "ClearConsole = True # @param {type:\"boolean\"}\n", "Play_Notification = True # @param {type:\"boolean\"}\n", "\n", "# ---------------------------------\n", "# DO NOT TOUCH ANYTHING DOWN BELOW!\n", "# ---------------------------------\n", "\n", "%cd $pathloc/server/\n", "\n", "from pyngrok import conf, ngrok\n", "MyConfig = conf.PyngrokConfig()\n", "MyConfig.auth_token = Token\n", "MyConfig.region = Region[0:2]\n", "#conf.get_default().authtoken = Token\n", "#conf.get_default().region = Region\n", "conf.set_default(MyConfig);\n", "\n", "import subprocess, threading, time, socket, urllib.request\n", "PORT = 8000\n", "\n", "from pyngrok import ngrok\n", "ngrokConnection = ngrok.connect(PORT)\n", "public_url = ngrokConnection.public_url\n", "\n", "from IPython.display import clear_output\n", "from IPython.display import Audio, display\n", "def play_notification_sound():\n", " display(Audio(url='https://raw.githubusercontent.com/hinabl/rmvpe-ai-kaggle/main/custom/audios/notif.mp3', autoplay=True))\n", "\n", "\n", "def wait_for_server():\n", " while True:\n", " time.sleep(0.5)\n", " sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n", " result = sock.connect_ex(('127.0.0.1', PORT))\n", " if result == 0:\n", " break\n", " sock.close()\n", " if ClearConsole:\n", " clear_output()\n", " print(\"--------- SERVER READY! ---------\")\n", " print(\"Your server is available at:\")\n", " print(public_url)\n", " print(\"---------------------------------\")\n", " if Play_Notification==True:\n", " play_notification_sound()\n", "\n", "threading.Thread(target=wait_for_server, daemon=True).start()\n", "\n", "mainpy=codecs.decode('ZZIPFreireFVB.cl','rot_13')\n", "\n", "!python3 $mainpy \\\n", " -p {PORT} \\\n", " --https False \\\n", " --content_vec_500 pretrain/checkpoint_best_legacy_500.pt \\\n", " --content_vec_500_onnx pretrain/content_vec_500.onnx \\\n", " --content_vec_500_onnx_on true \\\n", " --hubert_base pretrain/hubert_base.pt \\\n", " --hubert_base_jp pretrain/rinna_hubert_base_jp.pt \\\n", " --hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \\\n", " --nsf_hifigan pretrain/nsf_hifigan/model \\\n", " --crepe_onnx_full pretrain/crepe_onnx_full.onnx \\\n", " --crepe_onnx_tiny pretrain/crepe_onnx_tiny.onnx \\\n", " --rmvpe pretrain/rmvpe.pt \\\n", " --model_dir model_dir \\\n", " --samples samples.json\n", "\n", "ngrok.disconnect(ngrokConnection.public_url)" ] }, { "cell_type": "markdown", "source": [ "![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)\n", "![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)" ], "metadata": { "id": "2Uu1sTSwTc7q" } } ], "metadata": { "colab": { "provenance": [], "private_outputs": true, "gpuType": "T4", "include_colab_link": true }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "accelerator": "GPU" }, "nbformat": 4, "nbformat_minor": 0 }