Audio Editors

Demucs GUI

Developer:
5  /  98 Reviews
33,958 Downloads
Feb 21, 2025 Last updated

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# Change Log

THIS IS THE LAST VERSION OF 1.x. There is no functional change comparing to 1.3.1, but adding showing update information when new version is detected so you can better understand what has changed in future releases and decide whether to update.

About the files:

Demucs-GUI_1.3.2_cpu.7z: For Windows users without accelerators (e.g. GPU).

Demucs-GUI_1.3.2_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_1.3.2_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_1.3.2_macOS_ARM64.dmg: For macOS users with Apple Silicon CPU. MPS acceleration is available.

Demucs_GUI-x86_64-1.3.2-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_64-1.3.2-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_64-1.3.2-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. Show update information when checking update

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.

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