WebUI of Music-Source-Separation-Training-Inference , and we packed UVR together!
Support Languages: English, 简体中文, 繁體中文, 日本語
This is a webUI for Music-Source-Separation-Training, which is a music source separation training framework. You can use this webUI to infer the MSST model and VR Models (Inference code comes from python-audio-separator, and we do some changes on it), and the preset process page allows you to customize the processing flow yourself. You can install models in the "Install Models" interface. If you have downloaded Ultimate Vocal Remover before, you do not need to download VR Models again. You can go to the "Settings" page and directly select your UVR5 model folder. Finally, we also provide some convenient tools such as SOME: Vocals to MIDI in the webUI.
Windows: Download the installer from Releases and run it. Or you can clone this repository and run from source.
Linux/macOS: Clone this repository and run from source.
Google Colab: Click here to run the webUI on Google Colab.
[For Chinese Users] Feishu Documents:Click to jump
Websites | Download Links | Extract Code | Notes |
---|---|---|---|
Github Releases | https://github.com/SUC-DriverOld/MSST-WebUI/releases | - | Only installer, no models |
Huggingface | https://huggingface.co/Sucial/MSST-WebUI/tree/main | - | Installer and all available models |
[For Chinese Users] hf-mirror | https://hf-mirror.com/Sucial/MSST-WebUI/tree/main | - | Installer and all available models |
[For Chinese Users] BaiduNetdisk | https://pan.baidu.com/s/1uzYHSpMJ1nZVjRpIXIFF_Q | 1145 | Installer and all available models |
[For Chinese Users] 123Pan | https://www.123pan.cn/s/1bmETd-AefWh.html | 1145 | Installer and all available models |
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Clone this repository.
git clone https://github.com/SUC-DriverOld/MSST-WebUI.git cd MSST-WebUI
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Create Python environment and install the requirements.
conda create -n msst python=3.10 -y conda activate msst pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 pip install -r requirements.txt --only-binary=samplerate
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After installing the requirements, go to
site-packages
folder, openlibrosa\util\utils.py
and go to line 2185. Change the line fromnp.dtype(complex): np.dtype(np.float).type,
tonp.dtype(complex): np.dtype(float).type,
. If you do not know how to do this, you can use the following command.pip uninstall librosa -y pip install tools/webUI_for_clouds/librosa-0.9.2-py3-none-any.whl
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Run the webUI use the following command.
python webUI.py
The optional arguments are as follows.
usage: webUI.py [-h] [--server_name SERVER_NAME] [--server_port SERVER_PORT] [--share] [--debug] options: -h, --help show this help message and exit --server_name SERVER_NAME Server IP address (Default: Auto). For example: 0.0.0.0 --server_port SERVER_PORT Server port (Default: Auto). For example: 7860 --share Enable share link (Default: False). --debug Enable debug mode (Default: False).
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If you run webUI on a cloud platform, see this document for more details.
Note
When using model_type swin_upernet
, you may meet the following error: ValueError: Make sure that the channel dimension of the pixel values match with the one set in the configuration.
. Please refer to this issue to solve the problem.
Please refer to this document for more details.
Please refer to this document for more details.
- [ZFTurbo's code] Music-Source-Separation-Training
- [python-audio-separator] python-audio-separator
- [Ultimate Vocal Remover] Ultimate Vocal Remover
- [Vocals to MIDI] SOME
- [@KitsuneX07] Github | Bilibili
- [@SUC-DriverOld] Github | Bilibili