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2.9 KiB

GLaDOS TTS Server

Wyoming protocol TTS server for the Portal_GLaDOS_v1 voice model (Style-Bert-VITS2), designed for Home Assistant integration.

Quick Start

CPU

services:
  glados-tts:
    image: xerotacovix/glados-ladosp-tts:cpu
    container_name: glados-tts
    ports:
      - "10200:10200"
    volumes:
      - glados_model_cache:/data
    environment:
      - MODEL_DIR=/data
      - URI=tcp://0.0.0.0:10200
      - DEVICE=cpu
    restart: unless-stopped

volumes:
  glados_model_cache:

CUDA (NVIDIA GPU)

services:
  glados-tts:
    image: xerotacovix/glados-ladosp-tts:cuda
    container_name: glados-tts
    ports:
      - "10200:10200"
    volumes:
      - glados_model_cache:/data
    environment:
      - MODEL_DIR=/data
      - URI=tcp://0.0.0.0:10200
      - DEVICE=cuda
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: unless-stopped

volumes:
  glados_model_cache:

ROCm (AMD GPU)

services:
  glados-tts:
    image: xerotacovix/glados-ladosp-tts:rocm
    container_name: glados-tts
    ports:
      - "10200:10200"
    volumes:
      - glados_model_cache:/data
    environment:
      - MODEL_DIR=/data
      - URI=tcp://0.0.0.0:10200
      - DEVICE=rocm
    devices:
      - /dev/kfd
      - /dev/dri
    restart: unless-stopped

volumes:
  glados_model_cache:

Docker Compose (All Variants)

The included docker-compose.yaml defines all three services with non-conflicting host ports:

  • CPU on 10201
  • CUDA on 10200
  • ROCm on 10202

Run only the service you need:

docker compose up glados-tts-cpu      # CPU only
docker compose up glados-tts-cuda     # CUDA only
docker compose up glados-tts-rocm     # ROCm only

Home Assistant Integration

See the detailed guides for Wyoming protocol setup and configuration:

For AMD ROCm-specific deployment notes and troubleshooting:

Model

The model is downloaded automatically from HuggingFace on first start:

Languages

The server auto-detects input language and loads the appropriate BERT model:

  • English (microsoft/deberta-v3-large)
  • Japanese (ku-nlp/deberta-v2-large-japanese-char-wwm)
  • Chinese (hfl/chinese-roberta-wwm-ext-large)

Ports

Variant Container Port Default Host Port
CPU 10200 10201
CUDA 10200 10200
ROCm 10200 10202