Demucs GUI

This is a GUI for python project demucs with optimized memory usage in CUDA. The project aims to let users without any coding experience separate tracks without difficulty. If you have any question about usage or the project, please open an issue to tell us. Since the original project Demucs used scientific library torch, the packed binaries with environment is very large, and we will only pack binaries for formal releases.

System requirements

Installing binaries

System version

For Windows: At least Windows 8

For Mac: At least macOS 10.13

For Linux: We currently have no intention to pack binaries for linux.

Hardware

Memory: At least 6GB memory, but 8GB swap may be required. The longer the track you want to separate, the more memory will be required.

GPU: Only NVIDIA GPUs are available. At least 3GB of private memory (not shared memory) is required.

Running the codes yourself

At least Python 3.9 is required. Other requirements please refer to Installing binaries.

Update History

(For more please see history.md) Versions in italic means that this is a beta version, which does not provide packed binaries.

• 0.1a1 (Mar.31, 2022) Initial release
• 0.1a1 (May.10, 2022)

Usage

If you are using released binaries, please skip this part

This part is written for beta versions

CPU only

1. Run pip, conda or other package managers to install all packages in requirements.txt. If you are using 0.1a1, please manually add psutil>=5.7.0 into requirements.txt, please add it manually before installing dependencies, because I forgot to add it.

# For pip
pip install -r requirements.txt
# For conda
conda install --yes --file requirements.txt

2. Download pretrained models and extract it to pretrained folder under GUI folder.
3. Run GuiMain.py and separate your song!

CUDA acceleration

1. Install torch with cuda under intructions on pyTorch official website
2. Run pip, conda or other package managers to install all packages in requirements_cuda.txt. If you are using 0.1a1, please manually add psutil>=5.7.0 into requirements_cuda.txt, please add it manually before installing dependencies, because I forgot to add it.

# For pip
pip install -r requirements.txt
# For conda
conda install --yes --file requirements.txt

3. Download pretrained models and extract it to pretrained folder under GUI folder.
4. Run GuiMain.py and separate your song! If your GPU is not listed in the device column, or is labeled "not recommended", this means your GPU is not available or the VRAM is not enough. Please use CPU instead or open an issue to tell us if you think this is a problem.

Acknowledgements

This project includes code of Demucs under MIT license.