Version 1.0 is still under development, with batch processing, model listing and drag & drop supported, whose GUI has been rewritten with PySide6 (Qt). I will also pack binaries for Apple Silicon. Thanks for your patience.
This is a GUI for python project
demucs with optimized memory usage in CUDA.
The project aims to let users without any coding experience separate tracks without difficulty. If you have any question about usage or the project, please open an issue to tell us. Since the original project Demucs used scientific library
torch, the packed binaries with environment is very large, and we will only pack binaries for formal releases.
Because of the limitation of Apple, Demucs-GUI need some extra configuration to work properly.
First, we should allow running apps from all of sources. Execute following command in your Terminal (if you do not know where your Terminal.app is, please search your dashboard):
sudo spctl --master-disable
You may need to input your password.
Then, we need to bypass the notarization (replace the path below to where your Demucs-GUI.app is if you did not install to the default location):
sudo xattr -rd com.apple.quarantine /Applications/Demucs-GUI.app
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.
Memory: At least 6GB memory, but 8GB swap may be required. The longer the track you want to separate, the more memory will be required.
GPU: Only NVIDIA GPUs are supported. At least 3GB of private memory (not shared memory) is required.
At least Python 3.9 is required. Other requirements please refer to Installing binaries.
Binaries for download are available here.
(For more please see history.md) Versions in italic means that this is a beta version, which does not provide packed binaries.
If you are using released binaries, please skip this part
This part is written for beta versions
condaor other package managers to install all packages in requirements.txt. If you are using 0.1a1, please manually add
requirements.txt, please add it manually before installing dependencies, because I forgot to add it.
# For pip pip install -r requirements.txt # For conda conda install --yes --file requirements.txt
GuiMain.pyand separate your song!
condaor other package managers to install all packages in requirements_cuda.txt. If you are using 0.1a1, please manually add
requirements_cuda.txt, please add it manually before installing dependencies, because I forgot to add it.
# For pip pip install -r requirements_cuda.txt # For conda conda install --yes --file requirements_cuda.txt
GuiMain.pyand separate your song! If your GPU is not listed in the
devicecolumn, or is labeled "not recommended", this means your GPU is not available or the VRAM is not enough. Please use CPU instead or open an issue to tell us if you think this is a problem.
libsndfile but the wheels for Linux does not include it. Please use your package manager to install it manually.
This project includes code of Demucs under MIT license.