Package: ultimatevocalremover
Ultimate Vocal Remover GUI v5.6AboutThis application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models).Core DevelopersAnjok07aufr33Support the ProjectDonateInstallationThese bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.Windows InstallationPlease Note:This installer is intended for those running Windows 10 or higher.Application functionality for systems running Windows 7 or lower is not guaranteed.Application functionality for Intel Pentium & Celeron CPUs systems is not guaranteed.You must install UVR to the main C:\ drive. Installing UVR to a secondary drive will cause instability.Download the UVR installer for Windows via the link below:Main Download LinkMain Download Link mirrorIf you use anAMD Radeon or Intel Arc graphics card, you can try the OpenCL version:OpenCL Version - Main Download LinkUpdate Package instructions for those who have UVR already installed:If you already have UVR installed you can install this package over it or download it straight from the application orclick here for the patch.Windows Manual InstallationManual Windows InstallationDownload and extract the repositoryhereDownload and install PythonhereMake sure to check "Add python.exe to PATH" during the installRun the following commands from the extracted repo directory:python.exe -m pip install -r requirements.txtIf you have a compatible Nvidia GPU, run the following command:python.exe -m pip install --upgrade torch --extra-index-url https://download.pytorch.org/whl/cu117If you do not have FFmpeg or Rubber Band installed and want to avoid going through the process of installing them the long way, follow the instructions below.FFmpeg InstallationDownload the precompiled buildhereFrom the archive, extract the following file to the UVR application directory:ffmpeg-5.1.2-essentials_build/bin/ffmpeg.exeRubber Band InstallationIn order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band.Download the precompiled buildhereFrom the archive, extract the following files to the UVR application directory:rubberband-3.1.2-gpl-executable-windows/rubberband.exerubberband-3.1.2-gpl-executable-windows/sndfile.dllMacOS InstallationPlease Note:The MacOS Sonoma mouse clicking issue has been fixed.MPS (GPU) acceleration for Mac M1 has been expanded to work with Demucs v4 and all MDX-Net models.This bundle is intended for those running macOS Big Sur and above.Application functionality for systems running macOS Catalina or lower is not guaranteed.Application functionality for older or budget Mac systems is not guaranteed.Once everything is installed, the application may take up to 5-10 minutes to start for the first time (depending on your Macbook).Download the UVR dmg for MacOS via one of the links below:Mac M1 (arm64) users:Main Download LinkMain Download Link mirrorMac Intel (x86_64) users:Main Download LinkMain Download Link mirrorMacOS Users: Having Trouble Opening UVR?Due to Apples strict application security, you may need to follow these steps to open UVR.First, run the following command via Terminal.app to allow applications to run from all sources (it's recommended that you re-enable this once UVR opens properly.)sudospctl--master-disableSecond, run the following command to bypass Notarization:sudoxattr-rdcom.apple.quarantine/Applications/Ultimate\Vocal\Remover.appManual MacOS InstallationManual MacOS InstallationDownload and save this repositoryhereDownload and install Python 3.10hereFrom the saved directory run the following -pip3 install -r requirements.txtIf your Mac is running with an M1, please run the following command next. If not, skip this step. -cp /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile_arm64.dylib /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile.dylibFFmpeg InstallationOnce everything is done installing, download the correct FFmpeg binary for your systemhereand place it into the main application directory.Rubber Band InstallationIn order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band.Download the precompiled buildhereFrom the archive, extract the following files to the UVR/lib_v5 application directory:rubberband-3.1.2-gpl-executable-macos/rubberbandThis process has been tested on a MacBook Pro 2021 (using M1) and a MacBook Air 2017 and is confirmed to be working on both.Linux InstallationSee Linux Installation InstructionsThese install instructions are for Debian & Arch based Linux systems.Download and save this repositoryhereFrom the saved directory run the following commands in this order-For Debian Based (Ubuntu, Mint, etc.):sudo apt update && sudo apt upgrade
sudo apt-get update
sudo apt install ffmpeg
sudo apt install python3-pip
sudo apt-get -y install python3-tk
pip3 install -r requirements.txt
python3 UVR.pyFor Arch Based (EndeavourOS):sudo pacman -Syu
sudo pacman -Sy
sudo pacman -S python-pip
sudo pacman -S --noconfirm tk
sudo pacman -S ffmpegTo bypass environment setup and proceed with the installation, use:Take caution; this modifies system files.sudo rm /usr/lib/python3.11/EXTERNALLY-MANAGEDThen proceed with the following in order:chmod +x install_packages.sh
./install_packages.sh
python UVR.pyOther Application NotesNvidia RTX 1060 6GB is the minimum requirement for GPU conversions.Nvidia GPUs with at least 8GBs of V-RAM are recommended.AMD Radeon GPU supported is limited at this time.There is currently a working branch for AMD GPU usershereThis application is only compatible with 64-bit platforms.This application relies on the Rubber Band library for the Time-Stretch and Pitch-Shift options.This application relies on FFmpeg to process non-wav audio files.The application will automatically remember your settings when closed.Conversion times will significantly depend on your hardware.These models are computationally intensive.Performance:Model load times are faster.Importing/exporting audio files is faster.TroubleshootingCommon IssuesIf FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.Memory allocation errors can usually be resolved by lowering the "Segment" or "Window" sizes.MacOS Sonoma Left-click BugThere's a known issue on MacOS Sonoma where left-clicks aren't registering correctly within the app. This was impacting all applications built with Tkinter on Sonoma and has since been resolved. Please download the latest version via the following link if you are still experiencing issues -linkThis issue was being trackedhere.Issue ReportingPlease be as detailed as possible when posting a new issue.If possible, click the "Settings Button" to the left of the "Start Processing" button and click the "Error Log" button for detailed error information that can be provided to us.LicenseTheUltimate Vocal Remover GUIcode isMIT-licensed.Please Note:For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers.CreditsZFTurbo- Created & trained the weights for the new MDX23C models.DilanBoskan- Your contributions at the start of this project were essential to the success of UVR. Thank you!Bas Curtiz- Designed the official UVR logo, icon, banner, and splash screen.tsurumeso- Developed the original VR Architecture code.Kuielab & Woosung Choi- Developed the original MDX-Net AI code.Adefossez & Demucs- Developed the original Demucs AI code.KimberleyJSN- Advised and aided the implementation of the training scripts for MDX-Net and Demucs. Thank you!Hv- Helped implement chunks into the MDX-Net AI code. Thank you!ContributingFor anyone interested in the ongoing development ofUltimate Vocal Remover GUI, please send us a pull request, and we will review it.This project is 100% open-source and free for anyone to use and modify as they wish.We only maintain the development and support for theUltimate Vocal Remover GUIand the models provided.References[1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation",https://arxiv.org/pdf/1706.09588.pdf