uncloseai-speech/docker-compose.cpu.yml
russell@unturf.com b315659be6 Make Qwen3-TTS the default engine, add CPU-only docker support
- Switch default TTS engine from Piper to Qwen3-TTS (1.7B params)
- Upgrade to Python 3.12
- Add docker-compose.cpu.yml for CPU-only deployments
- Improve GPU configuration with NVIDIA environment variables
- Comment out optional engines (Piper, XTTS, Silero, Kokoro) in requirements
- Update Makefile with local/local-cpu targets and venv support
- Simplify voice_to_speaker.default.yaml for Qwen3-TTS voices
- Update docs/MODELS.md with Qwen3-TTS documentation
- Add git commit guidelines to CLAUDE.md
2026-01-26 10:41:23 -05:00

18 lines
430 B
YAML

# CPU-only configuration (no GPU)
# Use this if you don't have an NVIDIA GPU
# Note: Qwen3-TTS is ~10x slower on CPU
services:
server:
build:
dockerfile: Dockerfile
image: uncloseai-speech:local
env_file: speech.env
ports:
- "8000:8000"
volumes:
- ./voices:/app/voices
- ./config:/app/config
environment:
- CUDA_VISIBLE_DEVICES= # Disable CUDA
restart: unless-stopped