S39 - VST Plugin (Pd/Py) and Demos

Table of contents

  1. Installation
    1. Source code
    2. VST Setup
    3. Python Environment Setup (using venv)
    4. Running Python script
  2. Video Tutorial
  3. Demos
    1. Percussive Inputs
    2. Vocal Inputs
    3. Other Inputs

Installation

Source code

Clone the repository wherever you prefer

    git clone https://github.com/behzadhaki/InfillingTransformerRealTime

VST Setup

Move the Camomile wrapped to your local VST folder.

Alt text

Python Environment Setup (using venv)

Then, open the terminal and navigate to the project folder

cd InfillingTransformerRealTime

Now create a virtual environment for installing the dependencies

python3 -m venv TorchOSC_venv

Activate the environment

source TorchOSC_venv/bin/activate

upgrade pip

pip3 install --upgrade pip

goto https://pytorch.org/get-started/locally/ and get the write pip command for installing torch on your computer. (double check the installers using the link)

MAC and Win:
pip3 install torch torchvision torchaudio

Linux:
pip3 install torch==1.10.2+cpu torchvision==0.11.3+cpu torchaudio==0.10.2+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html

Now, install all required packages package

pip3 install python-osc
pip3 install librosa
pip3 install matplotlib

Running Python script

Go to CMC folder, and activate environment

source TorchOSC_venv/bin/activate

Finally, run the python script

python run_generative_engine.py  --py2pd_port 1123 --pd2py_port 1415 --wait 2 --model light_version

Video Tutorial

Demos

Percussive Inputs

Vocal Inputs

Other Inputs