Successful minimalist configuration for 384kHz / 0.25ms ultra-low latency audio using internal Carla/LV2 node

Hello,

I posted I posted the following on the Pipewire community.

Hello PipeWire community,

I would like to share a successful, minimalist configuration to
achieve a pristine 384kHz / 0.25ms (96 samples) ultra-low latency
audio environment on openSUSE Tumbleweed, paired with a Marantz
HD-AMP1 USB-DAC.

Previously, I struggled with D-Bus portal errors and device conflicts
when completely masking pipewire.socket to run pure jackd. However, I
realized that we can completely integrate a high-performance
convolution filter directly into the PipeWire graph seamlessly by
utilizing `context.modules` to load Carla as an internal LV2 node.

Here is the simple configuration I added to my configuration file:


"context.modules": [
    {
        "name": "libpipewire-module-adapter",
        "args": {
            "factory.name": "support.node.driver",
            "node.name": "syncarla",
            "node.description": "Carla Convolver Node",
            "media.class": "Audio/Filter",
            "lv2.plugin": "carla",
            "lv2.label": "convolver",
            "lv2.control": {
                "Process Mode": "Continuous Rack",
                "Engine": "Jack",
                "Gain": 1.0000,
                "Mode": 1.000,
                "Volume": 100,
                "Speed": 1.000,
                "Mltplr": 1.0000,
                "Strt vl": 0.000,
                "Octaves": 0.0000,
                "Smtns": 0.0000,
                "stbtt_PackSetOversampling": 8,
                "NumVoices": 32,
                "MIDI Contrl Channel": 8,
                "volume": 100
            }
        }
    }
]

This enables Jack on PipeWire.

Name the file carla.conf and place it in
~/.config/pipewire/pipewire.con.d/.

Best Regards & Good Night.

--
   Masaru Nomiya                     mail-to: nomiya @ ab.auone-net.jp

       "People need to manage the competing dynamics of relying on
	        generative AI and staying mindfully vigilant."
	       
  -- "Is AI ruining our skills? Early results are in  and they're
  not good" Nature --