The following points need to be noted for Docker deployment:
- environmental preparation: Docker and Docker Compose are required for the base environment, and NVIDIA Container Toolkit is required for GPU users.
- Mirror Image Selection: CPU User Usage
docker-compose-cpu.ymlThe default compose file is used for GPU users. - priming command::
docker compose up -d --build(GPU) ordocker compose -f docker-compose-cpu.yml up -d --build(CPU) - Access Management: Defaults to the
http://localhost:8005Access the Web UI, log viewing usingdocker compose logs -f
Benefits: The Docker approach handles dependency isolation automatically, eliminating the need to manually configure the Python environment and keeping the system clean.
This answer comes from the articleKitten-TTS-Server: a self-deployable lightweight text-to-speech serviceThe
May not be reproduced without permission:AI productivity tools " What are the considerations when deploying with Docker?
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