Stemgen

NOTE: Stemgen currently doesn't have a stable release. Please use carefully!

Stemgen is a library and tool that can be used to generate NI stem files from most audio files. It is inspired from the the tool of the same name Stemgen. Here is how it compares:

• Transparent: no binaries or opaque processes required the generation. Everything is available open source, from the demucsing, till the STEM metadata generation.
• More flexible: support virtually any input format and codex and allows full customisation of the stem metadata.
• Dynamic: easy to ship or run on the go with Docker, or to script to generate many STEM at once.

Under the hood, it uses:

• Facebook's demucs to split the signal into multiple audio stream
• Torch to generate the audio container with all the stream
• Some Taglib sources to generate the STEM metadata
• Taglib to manage the traditional audio metadata

Install

Currently, the tool was only tested on linux/amd64. All used dependency are meant to be cross platform, but some additional work my be required to get it working natively. Please open a issue if your platform isn't supported

pip install -e "git+https://github.com/acolombier/[email protected]#egg=stemgen"

Ubuntu 22.04 / Debian Bookworm / PopOS 22.04

# Install FFmpeg and TagLib 2.0
sudo apt install -y ffmpeg cmake libutfcpp-dev
wget -O taglib.tar.gz https://github.com/taglib/taglib/releases/download/v2.0.1/taglib-2.0.1.tar.gz
tar xf taglib.tar.gz
cd taglib-2.0.1
cmake -DCMAKE_INSTALL_PREFIX=/usr \
  -DCMAKE_BUILD_TYPE=Release \
  -DBUILD_SHARED_LIBS=ON .
make -j
sudo make install
cd ..
rm -rf taglib-2.0.1 taglib.tar.gz

Usage

Usage: stemgen [OPTIONS] FILES... OUTPUT

  Generate a NI STEM file out of an audio stereo file.

  FILES   path(s) to a file supported by the FFmpeg codec available on your
  machine

  OUTPUT  path to an existing directory where to store the generated STEM
  file(s)

Options:
  --model <model_name>            Demucs model.
  --device <cpu or cuda>          Device for the demucs model inference
  --ext TEXT                      Extension for the STEM file
  --force                         Proceed even if the output file already
                                  exists
  --verbose                       Display verbose information which may be
                                  useful for debugging
  --repo DIRECTORY                The local directory to use to fetch models
                                  for demucs.
  --model TEXT                    The model to use with demucs. Use --list-
                                  models to list the supported models. Default
                                  to htdemucs fine-trained
  --shifts INTEGER                Number of random shifts for equivariant
                                  stabilization to use for demucs. Increase
                                  separation time but improves quality for
                                  Demucs. 10 was used in the original paper.
  --overlap FLOAT                 Overlap between the splits to use for
                                  demucs.
  --jobs INTEGER                  The number of jobs to use for demucs.
  --use-alac / --use-aac          The codec to use for the stem stream stored
                                  in the output MP4.
  --drum-stem-label <label>       Custom label for the drum STEM (the first
                                  one)
  --drum-stem-color <hex-color>   Custom color for the drum STEM (the first
                                  one)
  --bass-stem-label <label>       Custom label for the drum STEM (the second
                                  one)
  --bass-stem-color <hex-color>   Custom color for the drum STEM (the second
                                  one)
  --other-stem-label <label>      Custom label for the drum STEM (the third
                                  one)
  --other-stem-color <hex-color>  Custom color for the drum STEM (the third
                                  one)
  --vocal-stem-label <label>      Custom label for the drum STEM (the fourth
                                  and last one)
  --vocal-stem-color <hex-color>  Custom color for the drum STEM (the fourth
                                  and last one)
  --list-models                   List detected and supported models usable by
                                  demucs and exit
  --version                       Display the stemgen version and exit
  --help                          Show this message and exit.

Example

• Simple usage

  stemgen "Artist - Title.mp3" .

• Using htdemucs_ft for better result, but more memory usage (see the benchmark section)

  stemgen "Artist - Title.mp3" . --model htdemucs_ft

Note on STEM customisation

NI recommends using the following labels for the stem:

• Acid
• Atmos
• Bass
• Bassline
• Chords
• Clap
• Comp
• Donk
• Drone
• Drums
• FX
• Guitar
• HiHat
• Hits
• Hook
• Kick
• Lead
• Loop
• Melody
• Noise
• Pads
• Reece
• SFX
• Snare
• Stabs
• SubBass
• Synths
• Toms
• Tops
• Vocals
• Voices

Memory Benchmark

Benchmarks are performed with a 3m30s song with CUDA, running on the following machine spec:

12th Gen Intel(R) Core(TM) i7-12700H
64 GB RAM
NVIDIA GeForce RTX 3050
Samsung 980 PRO SSD

Model	Memory usage peak	Real time
htdemucs (default)	1.8 GB	1m6.427s
htdemucs_ft	3.3 GB	32.637s

Docker image

If you don't want to install stemgen on your machine, you can use the Docker container. Here the simple way to use it:

docker run \
    -v /path/to/folder:/path/to/folder \
    -it --rm \
    aclmb/stemgen:0.2.0 \
        /path/to/folder/Artist\ -\ Title.mp3 \
        /path/to/folder

if you want to use CUDA acceleration, and cache the model not to download it every time, you can do the following:

docker run \
    -v /path/to/folder:/path/to/folder \
    -v stemgen_torch_cache:/root/.cache/torch/hub/ \
    -it --gpus --rm \
    aclmb/stemgen:0.2.0 \
        /path/to/folder/Artist\ -\ Title.mp3 \
        /path/to/folder

License

Stemgen is released under a MIT license. stembox, which is a component of Stemgen used to generate stem manifest is released under a LGPL License as it reuse battle-tested code from TagLib