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137 lines
6.7 KiB
Markdown
137 lines
6.7 KiB
Markdown
# 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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[![Release](https://img.shields.io/github/release/anjok07/ultimatevocalremovergui.svg)](https://github.com/anjok07/ultimatevocalremovergui/releases/latest)
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[![Downloads](https://img.shields.io/github/downloads/anjok07/ultimatevocalremovergui/total.svg)](https://github.com/anjok07/ultimatevocalremovergui/releases)
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## About
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This application uses state-of-the-art AI and models to remove vocals from tracks. UVR's core developers trained all of the models provided in this package.
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- **Core Developers**
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- [Anjok07](https://github.com/anjok07)
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- [aufr33](https://github.com/aufr33)
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## Installation
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UVR v5.2.0 and all of its features are only available on Windows. 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 prerequisites. All of the required libraries are included within the installation.
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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 installing 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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**General Options**
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<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/v5.2.0/img/gen_opt.png?raw=true" />
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**VR Architecture Options**
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<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/v5.2.0/img/vr_opt.png?raw=true" />
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**MDX-Net Options**
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<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/v5.2.0/img/mdx_opt.png?raw=true" />
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**Ensemble Options**
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<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/v5.2.0/img/ense_opt.png?raw=true" />
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**User Ensemble**
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<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/v5.2.0/img/user_ens_opt.png?raw=true" />
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## Other GUI Notes
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- The application will automatically remember your settings when closed.
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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]()
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3. Download the models.zip [here]()
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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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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 most robust result from each model.
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- Stacked models have been entirely removed.
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The new aggression setting and model ensembling have replaced the stacked model feature.
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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 incredibly powerful.
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- MDX-Net is a Hybrid Waveform/Spectrogram network.
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## Troubleshooting
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### Common Issues
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- This application is only compatible with 64-bit platforms.
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- This application is not compatible with 32-bit versions of Python. Please make sure your version of Python is 64-bit.
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- If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
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### Issue Reporting
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Please be as detailed as possible when posting a new issue. Navigate to the "Error Log" tab in the Help Guide for detailed error information that can be provided to us.
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## License
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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.
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## Credits
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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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[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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## 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 modify as they wish.
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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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