Stem separation
extract vocals, drums, bass, other from any song
// official site: github.com ↗
AUDIO & MUSIC · PRO TIER
Demucspro
Demucs is the state-of-the-art music source separation tool by Meta AI (FAIR) — splits songs into separate stems: vocals, drums, bass, and other instruments. Used by music producers, video creators, karaoke makers, podcast cleaners.
// What it is
A closer look.
Demucs is the state-of-the-art music source separation tool by Meta AI (FAIR) — splits songs into separate stems: vocals, drums, bass, and other instruments. Used by music producers, video creators, karaoke makers, podcast cleaners.
The "isolate the vocals" / "remove vocals for karaoke" tool, open-source and self-hostable.
// Use cases
What it's for.
Concrete scenarios where teams pick Demucs over the SaaS alternative.
Karaoke creation
remove vocals from licensed tracks
Vocal isolation
acapella extraction for remix/study
Podcast cleanup
separate background music from speech
Sample mining
extract individual instruments
Educational use
teach instrument identification
// Who it's for
Built for these teams.
If your team profile matches one of these, Demucs is a strong fit out of the box.
Music producers
(acapella extraction, remix workflows)
DJs
preparing mashups
Video editors
cleaning audio
Karaoke service builders
processing tracks
Music educators
demonstrating instrument parts
Podcasters
separating background music from speech
// Differentiators
Why teams pick Demucs.
When evaluating self-hosted options for this category, here are the dimensions on which Demucs consistently lands above the alternatives.
- ✓Hybrid license — code MIT, weights research-only (commercial weights via separate license)
- ✓State-of-art quality — in open stem separation
- ✓Hybrid Transformer model — superior to LSTM-based predecessors
- ✓Multiple model variants — quality vs speed tradeoffs
- ✓Active research — Meta AI's continuous improvements
- ✓Fast — 10-20× real-time on RTX 4090
// Integrations
Connects to.
The stack you'll plug Demucs into — services, protocols, and adjacent apps in the BluixApps catalog.
◇
Gradio web UI
(BluixApps custom)
◈
CLI mode
for batch
◆
Pair with
MusicGen (Demucs-extract → MusicGen-generate replacement stems)
▣
Pair with
WhisperX (vocal extract → transcribe lyrics)
▦
Output
4 stem WAV files
// Adoption & deployment
Notable users & community
- 9k+ GitHub stars
- Meta AI (FAIR) research backing
- Used in commercial music tools (Karaoke services)
- Featured in audio engineering workflows
- Active research community
What we ship
- Docker (pytorch CUDA 12.4 + demucs pip-installed)
- Custom Gradio UI with model + two-stems selectors
- Persistent volumes: models cache, input, output (4 stems WAV)
- Port 7879 mapped
- Install report at
/root/bluixapps/demucs.txt - Model variant guidance
- Use case examples (karaoke, sample mining, podcast cleanup)
- License caveat documented (commercial restrictions on Meta-provided weights)
- Pairing suggestions (MusicGen for replacement stems)
- GPU pre-flight check via
bluixapps_ensure_nvidia_runtime - Backup hook covers models + outputs
// Tips & operations
Run it properly.
Operational guidance from running this in production — what to lock down, what surprises people.
// PERFORMANCE
Model variants
// SECURITY
Two-stems mode
just vocals vs instrumental (karaoke)
// OPERATIONS
Speed
// RELIABILITY
VRAM
6 GB GPU optimal
// DEPLOYMENT
License
code MIT, weights research-only.
// SCALING
Production batch
CLI for entire albums
8192
// min ram (MB)
10
// min disk (GB)
7879
// access port
http
// protocol
pro
// bluixapps tier
// Alternatives in Audio & music
Compare with
Project resources
Official sitegithub.com ↗