SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

© 2025 • SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Separate vocals from a music track
DEMUCS GPU

DEMUCS GPU

pyharp-wrapped demucs stem separator model running on GPU

You May Also Like

View All
🚀

Spleeter And ASR

Separate audio into vocals and accompaniment, transcribe vocals

3
🦀

Automix

Mixes the vocals with instrumental

1
🚀

Karaoke

Separate and shift vocals and instrumental audio from a YouTube video

0
🎵

ZFTurbo Web-UI

Separate audio into vocals and instrumental tracks

2
⚡

ASesYudgfsfxc-tgsacxs-otyhrhs

karatutu21

2
💻

Spleeter

spleeter for test

0
📊

Voice Separation One

Using Docker for the first time for the first instance

0
⚡

Audio Separator

Audio-Separator Demo

16
😻

Ilaria RVC

Convert and separate audio using vocal models

0
⚡

Audio-Separator (UVR)

Audio-Separator by Politrees

14
🥁

BeatManipulator

Generate a modified audio track and beat image from an uploaded song

2
🎶

🎸 楽器分離アプリ

Separate specific instruments from an MP3 file

2

What is DEMUCS GPU ?

DEMUCS GPU is a powerful tool designed to separate audio stems from music tracks. It is a pyharp-wrapped demucs stem separator model optimized to run on GPU, providing improved performance and efficiency. This tool is particularly useful for musicians, producers, and audio engineers who need to isolate vocals or instrumental tracks from mixed audio files.

Features

• GPU Acceleration: Leverages the power of graphics processing units for faster processing and better performance. • High-Quality Separation: Delivers accurate separation of audio stems, including vocals, drums, bass, piano, and other instruments. • Support for Multiple Models: Allows users to choose from different pre-trained models for optimal results. • Batch Processing: Enables processing multiple audio files simultaneously, saving time and effort. • User-Friendly Interface: Offers an intuitive interface for easy navigation and operation. • Integration with pyharp: Utilizes pyharp wrapping for seamless integration and efficient processing.

How to use DEMUCS GPU ?

  1. Install DEMUCS GPU: Download and install the DEMUCS GPU tool from the official repository or source.
  2. Install Required Dependencies: Ensure you have the necessary dependencies installed, including pyharp and CUDA (for GPU support).
  3. Launch the Tool: Run the DEMUCS GPU application on your system.
  4. Load Audio File: Upload the music track you want to process.
  5. Select Model: Choose the desired pre-trained model for stem separation.
  6. Process the Track: Initiate the separation process and wait for the tool to generate the stems.
  7. Review and Export: Preview the separated audio stems and export them in your preferred format.

Frequently Asked Questions

What systems are supported by DEMUCS GPU?
DEMUCS GPU is primarily designed for systems with NVIDIA GPUs due to CUDA support. Ensure your system has a compatible NVIDIA GPU for optimal performance.

Can I use DEMUCS GPU without a GPU?
While DEMUCS GPU is optimized for GPU usage, you can run it on CPU mode, but processing times will be significantly longer.

What audio formats does DEMUCS GPU support?
DEMUCS GPU supports WAV, MP3, FLAC, and other common audio formats. Ensure your file is in a supported format before processing.

Recommended Category

View All
🔍

Detect objects in an image

​🗣️

Speech Synthesis

🩻

Medical Imaging

💻

Generate an application

🚫

Detect harmful or offensive content in images

✍️

Text Generation

👤

Face Recognition

🖌️

Generate a custom logo

✂️

Separate vocals from a music track

🔖

Put a logo on an image

📄

Document Analysis

💬

Add subtitles to a video

❓

Question Answering

🖼️

Image Generation

📊

Data Visualization