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README.md
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README.md
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# Ultimate Vocal Remover GUI v5.1.0
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# Ultimate Vocal Remover GUI v5.2.0
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<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/v5.2.0/img/UVRv5.png?raw=true" />
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[](https://github.com/anjok07/ultimatevocalremovergui/releases/latest)
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@ -13,60 +13,19 @@ This application uses state of the art AI and models to remove vocals from track
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- [aufr33](https://github.com/aufr33) - Model collaborator & fellow UVR developer. This project wouldn't be what it is without your help. Thank you for your continued support!
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- [DilanBoskan](https://github.com/DilanBoskan) - Your contributions at the start of this project were essential to the success of UVR. Thank you!
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## Change Log
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- **v4 vs. v5**
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- The v5 models significantly outperform the v4 models.
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- The extraction's aggressiveness can be adjusted using the "Aggression Setting". The default value of 10 is optimal for most tracks.
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- All v2 and v4 models have been removed.
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- Ensemble Mode added - This allows the user to get the strongest result from each model.
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- Stacked models have been entirely removed.
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- Stacked model feature has been replaced by the new aggression setting and model ensembling.
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- The NFFT, HOP_SIZE, and SR values are now set internally.
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- MDX-NET AI engine and model support
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## Installation
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UVR v5.2.0 and all of it's features are only available on Windows at this time. However, this application can be run on Mac & Linux by performing a manual install, though some features may not be available on those platforms.
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UVR v5.2.0 and all of it's features are only available on Windows at this time. However, this application can be run on Mac & Linux by performing a manual install (see the **Manual Developer Installation** section below for more information). Some features may not be available on non-Windows platforms.
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### Windows Installation
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The installer does not require any prerequisite installations. All of the required libraries are included in the installation.
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The installer does not require any prerequisites. All of the required libraries are included within the installation.
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1. Download the UVR installer [here]()
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2.
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### Manual Developer Installation
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1. Download & install Python 3.9.8 [here](https://www.python.org/ftp/python/3.9.8/python-3.9.8-amd64.exe) (Windows link)
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- **Note:** Ensure the *"Add Python 3.9 to PATH"* box is checked
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2. Download the Source code zip here - https://github.com/Anjok07/ultimatevocalremovergui/archive/refs/heads/master.zip
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3. Download the models.zip here - https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.1.0/models.zip
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4. Extract the *ultimatevocalremovergui-master* folder within ultimatevocalremovergui-master.zip where ever you wish.
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5. Extract the *models* folder within models.zip to the *ultimatevocalremovergui-master* directory.
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- **Note:** At this time, the GUI is hardcoded to run the models included in this package only.
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6. Open the command prompt from the ultimatevocalremovergui-master directory and run the following commands, separately -
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```
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pip install --no-cache-dir -r requirements.txt
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```
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```
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pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
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```
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- FFmpeg
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- FFmpeg must be installed and configured for the application to process any track that isn't a *.wav* file. Instructions for installing FFmpeg can be found on YouTube, WikiHow, Reddit, GitHub, and many other sources around the web.
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- **Note:** If you are experiencing any errors when attempting to process any media files, not in the *.wav* format, please ensure FFmpeg is installed & configured correctly.
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- Running the GUI & Models
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- Open the file labeled *'VocalRemover.py'*.
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- It's recommended that you create a shortcut for the file labeled *'VocalRemover.py'* to your desktop for easy access.
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- **Note:** If you are unable to open the *'VocalRemover.py'* file, please go to the [**troubleshooting**](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#troubleshooting) section below.
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- **Note:** All output audio files will be in the *'.wav'* format.
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- Download the UVR installer [here]()
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- Optional
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- The Model Expansion Pack can be downloaded [here]()
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- Please navigate to the "Updates" tab within the Help Guide provided in the GUI for instructions on how to install the Model Expansion pack.
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- This version of the GUI is fully backward compatible with the v4 models.
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## Application Manual
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@ -92,13 +51,61 @@ pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f ht
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## Other GUI Notes
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- The application will automatically remember your *'save to'* path upon closing and reopening until it's changed.
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- **Note:** The last directory accessed within the application will also be remembered.
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- The application will automatically remember your settings when closed.
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- Multiple conversions are supported.
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- The ability to drag & drop audio files to convert has also been added.
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- Conversion times will significantly depend on your hardware.
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- **Note:** This application will *not* be friendly to older or budget hardware. Please proceed with caution! Please pay attention to your PC and make sure it doesn't overheat. ***We are not responsible for any hardware damage.***
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## Manual Developer Installation
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These instructions are for those installing UVR v5.2.0 **manually** only.
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1. Download & install Python 3.9.8 [here](https://www.python.org/ftp/python/3.9.8/python-3.9.8-amd64.exe) (Windows link)
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- **Note:** Ensure the *"Add Python 3.9 to PATH"* box is checked
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2. Download the Source code zip here - https://github.com/Anjok07/ultimatevocalremovergui/archive/refs/heads/master.zip
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3. Download the models.zip here - https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.1.0/models.zip
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4. Extract the *ultimatevocalremovergui-master* folder within ultimatevocalremovergui-master.zip where ever you wish.
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5. Extract the *models* folder within models.zip to the *ultimatevocalremovergui-master* directory.
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- **Note:** At this time, the GUI is hardcoded to run the models included in this package only.
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6. Open the command prompt from the ultimatevocalremovergui-master directory and run the following commands, separately -
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```
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pip install --no-cache-dir -r requirements.txt
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```
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```
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pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
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```
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- FFmpeg
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- FFmpeg must be installed and configured for the application to process any track that isn't a *.wav* file. Instructions for installing FFmpeg is provided in the "More Info" tab within the Help Guide.
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- Running the GUI & Models
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- Open the file labeled *'UVR.py'*.
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- It's recommended that you create a shortcut for the file labeled *'UVR.py'* to your desktop for easy access.
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- **Note:** If you are unable to open the *'UVR.py'* file, please go to the **troubleshooting** section below.
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- **Note:** All output audio files will be in the *'.wav'* format.
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## Change Log
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- **v4 vs. v5**
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- The v5 models significantly outperform the v4 models.
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- The extraction's aggressiveness can be adjusted using the "Aggression Setting". The default value of 10 is optimal for most tracks.
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- All v2 and v4 models have been removed.
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- Ensemble Mode added - This allows the user to get the strongest result from each model.
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- Stacked models have been entirely removed.
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- Stacked model feature has been replaced by the new aggression setting and model ensembling.
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- The NFFT, HOP_SIZE, and SR values are now set internally.
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- The MDX-NET AI engine and models have been added.
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- This is a brand new feature added to the UVR GUI.
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- 4 MDX-Net models trained by UVR developers are included in this package.
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- The MDX-Net models provided were trained by the UVR core developers
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- This network is less resource intensive, but incrediblely powerful.
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- MDX-Net is a Hybrid Wavform/Spectrogram network.
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## Troubleshooting
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### Common Issues
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@ -115,18 +122,23 @@ Please be as detailed as possible when posting a new issue. Navigate to the "Err
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The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE).
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- **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 Anjok07, aufr33, & tsurumeso.
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- **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.
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## Additional Credits
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## Credits
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- [tsurumeso](https://github.com/tsurumeso) - Developed the original VR Architecture code.
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- [Kuielab & Woosung Choi](https://github.com/kuielab) - Developed the original MDX-Net AI code.
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- [Adefossez & Demucs](https://github.com/facebookresearch/demucs) - Developed the original MDX-Net AI code.
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[tsurumeso](https://github.com/tsurumeso) - Developed the original VR Architecture code.
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[Kuielab & Woosung Choi](https://github.com/kuielab) - Developed the original MDX-Net AI code.
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[Adefossez & Demucs](https://github.com/facebookresearch/demucs) - Developed the original MDX-Net AI code.
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Bas Curtiz - Designed the official UVR logo, icon, banner, splash screen, and interface.
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**Credits Based on Secondary Packages Used**
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[rdbende](https://github.com/rdbende/Sun-Valley-ttk-theme) - Sun-Valley theme
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## Contributing
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- For anyone interested in the ongoing development of **Ultimate 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/or modify as they wish.
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- Please note that we do not maintain or directly support any of tsurumesos AI application code. We only maintain the development and support for the **Ultimate Vocal Remover GUI** and the models provided.
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- We only maintain the development and support for the **Ultimate Vocal Remover GUI** and the models provided.
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## References
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- [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf
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