Audio Editors

Demucs GUI

5  /  71 Reviews
24,221 Downloads
Oct 5, 2024 Last updated

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# Change Log

About the files:

Demucs-GUI_1.3a1_cpu.7z: For Windows users without accelerators (e.g. GPU).

Demucs-GUI_1.3a1_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_1.3a1_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.

Demucs-GUI_1.3a1_macOS_ARM64.dmg: For macOS users with Apple Silicon CPU. MPS acceleration is available.

Updates

1. Allow adding URL(s) as input, which will uses FFMpeg to read the audio

2. Automatically fill in the clipboard if you've copied a URL

3. Will use SoXR VHQ resampler as default when using FFMpeg to read audio

4. Added {host} and {0}, {1}, ... to the output file name variables (refer to usage for more details)

5. Allow enabling debug using environment variable

6. Added a simple debug console

7. Added support for Intel Extension for PyTorch 2.1.40+xpu

8. Allow changing options and retry when failed to save output audio

Fixes

1. Will open AOT documentation on the main branch instead of develop branch

2. No longer relies on wmic to get GPU information as Windows 11 24H2 has removed it. Used PowerShell to call Get-CimInstance instead

Known issues

1. CPU usage will stuck at 100% when separating, even running on GPU

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.

Found this software useful? Please consider a donation to the author.