Demucs GUI
Developer: https://carlgao4.github.io/demucs-gui/
- Reviews
- 5 / 85
- Downloads
- 30,424
Downloads
- Demucs GUICPU Windows 64-bitCUDA, MKL Windows 64-bitVisit download page
- Demucs GUICPU macOS 64-bit; MPS macOS Rosetta 2CPU, MPS macOS ARM64Visit download page
- Demucs GUICPU Linux 64-bitCUDA Linux 64-bitROCm Linux 64-bitVisit download page
Downloads are available on Demucs GUI’s official website.
Change Log
About the files:
Demucs-GUI_1.3.0.1_cpu.7z: For Windows users without accelerators (e.g. GPU).
Demucs-GUI_1.3.0.1_cuda_mkl.7z: For Windows users with NVIDIA GPU (whose compute capability is greater than 3.5) or Intel GPU (Intel Arc & Intel Xe).
Demucs-GUI_1.3.0.1_macOS_x86_64_Rosetta2.dmg: For macOS users (Both Intel Mac and Apple Silicon Mac). You may need to install Rosetta 2 on Apple Silicon Mac. MPS acceleration is available on Apple Silicon Mac or Mac with AMD GPU.
Demucs-GUI_1.3.0.1_macOS_ARM64.dmg: For macOS users with Apple Silicon CPU. MPS acceleration is available.
Demucs_GUI-x86_64-1.3.0.1-cpu.tar: For x86_64 Linux users with no accelerators. Requires glibc 2.27 or newer and libxcb-cursor0 if you are using xcb display.
Demucs_GUI-x86_64-1.3.0.1-cuda.tar: For x86_64 Linux users with NVIDIA GPU (whose compute capability is greater than 3.5). Requires glibc 2.27 or newer and libxcb-cursor0 if you are using xcb display.
Demucs_GUI-x86_64-1.3.0.1-rocm.tar: For x86_64 Linux users with AMD GPU. Requires glibc 2.27 or newer and libxcb-cursor0 if you are using xcb display.
Updates
1. Added support for Intel Extension for PyTorch 2.1.40+xpu built with oneAPI 2025.0.1
Fixes
1. Fixed an issue that on Linux log file can't be opened using the system file manager
Description
Demucs GUI is a GUI for Python project Demucs (Demucs Music Source Separation) with optimized memory usage in CUDA.
Please read release notes on GitHub Release before using!
The project aims to let users without any coding experience separate tracks without difficulty. Since the original project Demucs used a scientific library torch, the packed binaries with the environment are massive. If you have questions about usage or the project, please open an issue on GitHub to tell us.
Note: This project includes the code of Demucs under the MIT license.
System requirements
For Windows: At least Windows 8
For Mac: At least macOS 10.15
For Linux: We currently have no intention to pack binaries for Linux.
Hardware
Memory: At least 6GB memory, but an 8GB swap may be required. At least 3GB of private memory (not shared memory) is required. The longer the track you want to separate, the more memory will be required.
GPU: Only NVIDIA GPUs are available.
