RAVE VST (BETA)
Include RAVE models in your DAW for realtime deep learning based processing
- VST / AU / Standalone plugins available
- Unix & MacOS (We plan to support Windows later on)
- Reconstruction & Prior modes available
1) How to use
Audio settings
Click on the button with an arrow on the right to open / close the audio settings panel. Here you can adjust:
- Input: Gain, Channel, Compression threshold & ratio
- Output: Gain & Dry / Wet mix
- Buffer size: Internal buffer size used (small buffer size = low latency, more audio clicks)
You can switch between reconstruction & prior modes using the tickbox on the left
Reconstruction mode
In reconstruction mode, RAVE will use the audio input given by your DAW and reconstruct it
- Latent bias & scale can be changed for each of the 1st 8 latents: Select the latent you want to edit on the central wheel, then use the two bottom left buttons to change the values
Prior mode
In Prior mode, RAVE will move through the latent space using its prior
- You can adjust the latent noise, which will add noise to all latent dimensions
Stereo Width
This knob set the audio separation between the two output channels of the RAVE model.
Those two channels have the same input but the random sampling differences will produce slightly different outputs, resulting in a nice stereo effect
Model Explorer
The Model Explorer Button switches to the model explorer window.
- Model download (Feature not yet available):
When the beta will be over you will be able to download a selection of models directly from the VST - Custom models import:
Right now you can use this window to select your custom models, this will put them in the right folder and refresh the available models list
If you want to manage yourself your local models, the files are located in~/.config/ACIDS/RAVE/(UNIX) and~/Library/Application Support/ACIDS/RAVE/(MacOS)
Using your own trained models
If you want to be able to use your trained models in the VST you have to export them with the --stereo true flag
Then use the VST import button to move the files in the correct folder as explained in the previous section
2) How to build
We use Cmake for the build process
PyTorch libraries (And MKL if you're on UNIX) will be downloaded automatically
Tested environments:
| OS | CMake | C++ Compiler | Available formats | Notes |
|---|---|---|---|---|
| MacOS 10.15.7 | 3.21.3 | Clang 11.0.3 | VST / Standalone / AU | |
| Ubuntu 20.04.4 LTS | VST / Standalone | |||
| Fedora 33 | 3.19.7 | G++ 10.3.1 | Standalone |
1) Install needed dependencies:
- Fedora:
sudo dnf update ; sudo dnf install git cmake g++ libX11-devel libXrandr-devel libXinerama-devel libXcursor-devel freetype-devel libcurl-devel alsa-lib-devel
2) Clone the repository:
cd {YOUR_INSTALL_FOLDER} ; git clone git@github.com:acids-ircam/rave_vst.git ; cd rave_vst
3) Get Juce:
git submodule update --init --recursive --progress
4) Setup the build:
mkdir build; cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
5) Build:
cmake --build . --config Release -j 4