AICoverGen

An autonomous pipeline to create covers with any RVC v2 trained AI voice from YouTube videos or a local audio file. For developers who may want to add a singing functionality into their AI assistant/chatbot/vtuber, or for people who want to hear their favourite characters sing their favourite song.

Showcase: https://www.youtube.com/watch?v=2qZuE4WM7CM

Setup Guide: https://www.youtube.com/watch?v=pdlhk4vVHQk

WebUI is under constant development and testing, but you can try it out right now on both local and colab!

Changelog

• WebUI for easier conversions and downloading of voice models
• Support for cover generations from a local audio file
• Option to keep intermediate files generated. e.g. Isolated vocals/instrumentals
• Download suggested public voice models from table with search/tag filters
• Support for Pixeldrain download links for voice models
• Implement new rmvpe pitch extraction technique for faster and higher quality vocal conversions
• Volume control for AI main vocals, backup vocals and instrumentals
• Index Rate for Voice conversion
• Reverb Control for AI main vocals
• Local network sharing option for webui
• Extra RVC options - filter_radius, rms_mix_rate, protect
• Local file upload via file browser option
• Upload of locally trained RVC v2 models via WebUI
• Pitch detection method control, e.g. rmvpe/mangio-crepe
• Pitch change for vocals and instrumentals together. Same effect as changing key of song in Karaoke.
• Audio output format option: wav or mp3.

Update AICoverGen to latest version

Install and pull any new requirements and changes by opening a command line window in the AICoverGen directory and running the following commands.

pip install -r requirements.txt
git pull

For colab users, simply click Runtime in the top navigation bar of the colab notebook and Disconnect and delete runtime in the dropdown menu. Then follow the instructions in the notebook to run the webui.

Colab notebook

For those without a powerful enough NVIDIA GPU, you may try AICoverGen out using Google Colab.

For those who face issues with Google Colab notebook disconnecting after a few minutes, here's an alternative that doesn't use the WebUI.

For those who want to run this locally, follow the setup guide below.

Setup

Install Git and Python

Follow the instructions here to install Git on your computer. Also follow this guide to install Python VERSION 3.9 if you haven't already. Using other versions of Python may result in dependency conflicts.

Install ffmpeg

Follow the instructions here to install ffmpeg on your computer.

Install sox

Follow the instructions here to install sox and add it to your Windows path environment.

Clone AICoverGen repository

Open a command line window and run these commands to clone this entire repository and install the additional dependencies required.

git clone https://github.com/SociallyIneptWeeb/AICoverGen
cd AICoverGen
pip install -r requirements.txt

Download required models

Run the following command to download the required MDXNET vocal separation models and hubert base model.

python src/download_models.py

Usage with WebUI

To run the AICoverGen WebUI, run the following command.

python src/webui.py

Once the following output message Running on local URL: http://127.0.0.1:7860 appears, you can click on the link to open a tab with the WebUI.

Download RVC models via WebUI

Navigate to the Download model tab, and paste the download link to the RVC model and give it a unique name. You may search the AI Hub Discord where already trained voice models are available for download. You may refer to the examples for how the download link should look like. The downloaded zip file should contain the .pth model file and an optional .index file.

Once the 2 input fields are filled in, simply click Download! Once the output message says [NAME] Model successfully downloaded!, you should be able to use it in the Generate tab after clicking the refresh models button!

Upload RVC models via WebUI

For people who have trained RVC v2 models locally and would like to use them for AI Cover generations. Navigate to the Upload model tab, and follow the instructions. Once the output message says [NAME] Model successfully uploaded!, you should be able to use it in the Generate tab after clicking the refresh models button!

Running the pipeline via WebUI

• From the Voice Models dropdown menu, select the voice model to use. Click Update if you added the files manually to the rvc_models directory to refresh the list.
• In the song input field, copy and paste the link to any song on YouTube or the full path to a local audio file.
• Pitch should be set to either -12, 0, or 12 depending on the original vocals and the RVC AI modal. This ensures the voice is not out of tune.
• Other advanced options for Voice conversion and audio mixing can be viewed by clicking the accordion arrow to expand.

Once all Main Options are filled in, click Generate and the AI generated cover should appear in a less than a few minutes depending on your GPU.

Usage with CLI

Manual Download of RVC models

Unzip (if needed) and transfer the .pth and .index files to a new folder in the rvc_models directory. Each folder should only contain one .pth and one .index file.

The directory structure should look something like this:

├── rvc_models
│   ├── John
│   │   ├── JohnV2.pth
│   │   └── added_IVF2237_Flat_nprobe_1_v2.index
│   ├── May
│   │   ├── May.pth
│   │   └── added_IVF2237_Flat_nprobe_1_v2.index
│   ├── MODELS.txt
│   └── hubert_base.pt
├── mdxnet_models
├── song_output
└── src

Running the pipeline

To run the AI cover generation pipeline using the command line, run the following command.

python src/main.py [-h] -i SONG_INPUT -dir RVC_DIRNAME -p PITCH_CHANGE [-k | --keep-files | --no-keep-files] [-ir INDEX_RATE] [-fr FILTER_RADIUS] [-rms RMS_MIX_RATE] [-palgo PITCH_DETECTION_ALGO] [-hop CREPE_HOP_LENGTH] [-pro PROTECT] [-mv MAIN_VOL] [-bv BACKUP_VOL] [-iv INST_VOL] [-pall PITCH_CHANGE_ALL] [-rsize REVERB_SIZE] [-rwet REVERB_WETNESS] [-rdry REVERB_DRYNESS] [-rdamp REVERB_DAMPING] [-oformat OUTPUT_FORMAT]

Terms of Use

The use of the converted voice for the following purposes is prohibited.

• Criticizing or attacking individuals.

• Advocating for or opposing specific political positions, religions, or ideologies.

• Publicly displaying strongly stimulating expressions without proper zoning.

• Selling of voice models and generated voice clips.

• Impersonation of the original owner of the voice with malicious intentions to harm/hurt others.

• Fraudulent purposes that lead to identity theft or fraudulent phone calls.

Disclaimer

I am not liable for any direct, indirect, consequential, incidental, or special damages arising out of or in any way connected with the use/misuse or inability to use this software.