mirror of
https://github.com/w-okada/voice-changer.git
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Update Realtime_Voice_Changer_on_Colab.ipynb
This commit is contained in:
Rafa
GitHub
parent
71860e7b45
commit
8e56ecfcec
@ -12,265 +12,146 @@
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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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"### [w-okada's Voice Changer](https://github.com/w-okada/voice-changer) | **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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"## **⬇ 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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"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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"If you're using a index: `f0: RMVPE_ONNX | Chunk: 112 or higher | Extra: 8192`<br>\n",
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"If you're not using a index: `f0: RMVPE_ONNX | Chunk: 96 or higher | Extra: 16384`<br>\n",
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"**Don't forget to select a T4 GPU in the GPU field, <b>NEVER</b> use CPU!\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://github.com/YunaOneeChan/Voice-Changer-Settings) 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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"### <font color=red>⬇ Always use Colab GPU! (**IMPORTANT!**) ⬇</font>\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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"**Credits**<br>\n",
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"Realtime Voice Changer by [w-okada](https://github.com/w-okada)<br>\n",
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"Notebook files updated by [rafacasari](https://github.com/Rafacasari)<br>\n",
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"Recommended settings by [YunaOneeChan](https://github.com/YunaOneeChan)\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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"**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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"cellView": "form",
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"id": "RhdqDSt-LfGr"
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},
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"outputs": [],
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"source": [
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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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"import os\n",
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"from google.colab import drive\n",
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"\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"
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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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"# @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 will take around 2 minutes to complete.**\n",
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"\n",
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"!git clone --depth 1 https://github.com/w-okada/voice-changer.git &> /dev/null\n",
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"\n",
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"%cd voice-changer/server/\n",
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"print(\"\\033[92mSuccessfully cloned the repository\")\n",
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"\n",
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"!apt-get install libportaudio2 &> /dev/null\n",
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"!pip install pyworld\n",
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"!pip install onnxruntime-gpu uvicorn faiss-gpu fairseq jedi google-colab moviepy decorator==4.4.2 sounddevice numpy==1.23.5 pyngrok --quiet\n",
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"!pip install -r requirements.txt --no-build-isolation --quiet\n",
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"# Maybe install Tensor packages?\n",
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"#!pip install torch-tensorrt\n",
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"#!pip install TensorRT\n",
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"print(\"\\033[92mSuccessfully installed all packages!\")"
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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": "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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"# @title **[2]** Start Server **using ngrok** (Recommended | **need a ngrok account**)\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 **it's free**!\n",
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"# @markdown ---\n",
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"# @markdown **1** - Create a **free** account at [ngrok](https://dashboard.ngrok.com/signup)\\\n",
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"# @markdown **2** - If you didn't logged in with Google or 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, copy it and place it here:\n",
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"from pyngrok import conf, ngrok\n",
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"\n",
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"Token = '' # @param {type:\"string\"}\n",
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"# @markdown **4** - Still need further tests, but maybe region can help a bit on 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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"MyConfig = conf.PyngrokConfig()\n",
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"\n",
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"MyConfig.auth_token = Token\n",
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"MyConfig.region = Region[0:2]\n",
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"\n",
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"conf.get_default().authtoken = Token\n",
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"conf.get_default().region = Region[0:2]\n",
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"\n",
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"conf.set_default(MyConfig);\n",
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"\n",
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"# @markdown ---\n",
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"# @markdown If you want to automatically clear the output when the server loads, check this option.\n",
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"Clear_Output = True # @param {type:\"boolean\"}\n",
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"\n",
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"import portpicker, subprocess, threading, time, socket, urllib.request\n",
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"PORT = portpicker.pick_unused_port()\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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"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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"def iframe_thread(port):\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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" 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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" display(Javascript('window.open(\"{url}\", \\'_blank\\');'.format(url=public_url)))\n",
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"\n",
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"threading.Thread(target=iframe_thread, daemon=True, args=(PORT,)).start()\n",
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"\n",
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"!python3 MMVCServerSIO.py \\\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"
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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]** Start Server **using localtunnel** (ngrok alternative | no account needed)\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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"!npm config set update-notifier false\n",
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"!npm install -g localtunnel\n",
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"print(\"\\033[92mLocalTunnel installed!\")\n",
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"# @markdown If you want to automatically clear the output when the server loads, check this option.\n",
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"Clear_Output = True # @param {type:\"boolean\"}\n",
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"\n",
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"import portpicker, subprocess, threading, time, socket, urllib.request\n",
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"PORT = portpicker.pick_unused_port()\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 iframe_thread(port):\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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" clear_output()\n",
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" print(\"Use the following endpoint to connect to localtunnel:\", urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"))\n",
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" p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
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" for line in p.stdout:\n",
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" print(line.decode(), end='')\n",
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"\n",
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"threading.Thread(target=iframe_thread, daemon=True, args=(PORT,)).start()\n",
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"\n",
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"\n",
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"!python3 MMVCServerSIO.py \\\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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" --colab True"
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],
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"metadata": {
|
||||
"cellView": "form",
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"id": "ZwZaCf4BeZi2"
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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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"# In Development | **Need contributors**"
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],
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"metadata": {
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"id": "iuf9pBHYpTn-"
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"id": "Lbbmx_Vjl0zo"
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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 **[BROKEN]** Start Server using Colab Tunnels (trying to fix this TwT)\n",
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"# @markdown **Issue:** Everything starts correctly, but when you try to use the client, you'll see in your browser console a bunch of errors **(Error 500 - Not Allowed.)**\n",
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"# @title 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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"%cd /content/\n",
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"\n",
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"import portpicker, subprocess, threading, time, socket, urllib.request\n",
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"PORT = portpicker.pick_unused_port()\n",
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"!pip install colorama --quiet\n",
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"from colorama import Fore, Style\n",
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"import os\n",
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"\n",
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"def iframe_thread(port):\n",
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"print(f\"{Fore.CYAN}> Cloning the repository...{Style.RESET_ALL}\")\n",
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"!git clone https://github.com/w-okada/voice-changer.git --quiet\n",
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"print(f\"{Fore.GREEN}> Successfully cloned the repository!{Style.RESET_ALL}\")\n",
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"%cd voice-changer/server/\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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"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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"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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"\n",
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"print(f\"{Fore.GREEN}> Successfully installed all packages!{Style.RESET_ALL}\")"
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],
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||||
"metadata": {
|
||||
"id": "86wTFmqsNMnD",
|
||||
"cellView": "form",
|
||||
"_kg_hide-output": false,
|
||||
"execution": {
|
||||
"iopub.status.busy": "2023-09-14T04:01:17.308284Z",
|
||||
"iopub.execute_input": "2023-09-14T04:01:17.308682Z",
|
||||
"iopub.status.idle": "2023-09-14T04:08:08.475375Z",
|
||||
"shell.execute_reply.started": "2023-09-14T04:01:17.308652Z",
|
||||
"shell.execute_reply": "2023-09-14T04:08:08.473827Z"
|
||||
},
|
||||
"trusted": true
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"# @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 <font color=green>**it's free**</font> and easy to create!\n",
|
||||
"# @markdown ---\n",
|
||||
"# @markdown **1** - Create a <font color=green>**free**</font> 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 = '' # @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",
|
||||
"# @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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"\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 /content/voice-changer/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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"\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",
|
||||
" result = sock.connect_ex(('127.0.0.1', port))\n",
|
||||
" result = sock.connect_ex(('127.0.0.1', PORT))\n",
|
||||
" if result == 0:\n",
|
||||
" break\n",
|
||||
" sock.close()\n",
|
||||
" from google.colab.output import serve_kernel_port_as_window\n",
|
||||
" serve_kernel_port_as_window(PORT)\n",
|
||||
" if ClearConsole:\n",
|
||||
" clear_output()\n",
|
||||
" print(\"--------- SERVER READY! ---------\")\n",
|
||||
" print(\"Your server is available at:\")\n",
|
||||
" print(public_url)\n",
|
||||
" print(\"---------------------------------\")\n",
|
||||
"\n",
|
||||
"threading.Thread(target=iframe_thread, daemon=True, args=(PORT,)).start()\n",
|
||||
"threading.Thread(target=wait_for_server, daemon=True).start()\n",
|
||||
"\n",
|
||||
"!python3 MMVCServerSIO.py \\\n",
|
||||
" -p {PORT} \\\n",
|
||||
@ -286,11 +167,16 @@
|
||||
" --crepe_onnx_tiny pretrain/crepe_onnx_tiny.onnx \\\n",
|
||||
" --rmvpe pretrain/rmvpe.pt \\\n",
|
||||
" --model_dir model_dir \\\n",
|
||||
" --samples samples.json"
|
||||
" --samples samples.json\n",
|
||||
"\n",
|
||||
"ngrok.disconnect(ngrokConnection.public_url)"
|
||||
],
|
||||
"metadata": {
|
||||
"id": "P2BN-iWvDrMM",
|
||||
"cellView": "form"
|
||||
"id": "lLWQuUd7WW9U",
|
||||
"cellView": "form",
|
||||
"_kg_hide-input": false,
|
||||
"scrolled": true,
|
||||
"trusted": true
|
||||
},
|
||||
"execution_count": null,
|
||||
"outputs": []
|
||||
|
||||
Loading…
Reference in New Issue
Block a user