Docker images¶
We provide docker images to be able to test TTS without having to setup your own environment.
Using premade images¶
You can use premade images built automatically from the latest TTS version.
CPU version¶
docker pull ghcr.io/idiap/coqui-tts-cpu
GPU version¶
docker pull ghcr.io/idiap/coqui-tts
Building your own image¶
docker build -t tts .
Basic inference¶
Basic usage: generating an audio file from a text passed as argument. You can pass any tts argument after the image name.
CPU version¶
docker run --rm -v ~/tts-output:/root/tts-output ghcr.io/idiap/coqui-tts-cpu --text "Hello." --out_path /root/tts-output/hello.wav
GPU version¶
For the GPU version, you need to have the latest NVIDIA drivers installed.
With nvidia-smi you can check the supported CUDA version.
docker run --rm --gpus all -v ~/tts-output:/root/tts-output ghcr.io/idiap/coqui-tts --text "Hello." --out_path /root/tts-output/hello.wav --use_cuda
Start a server¶
To launch a TTS server, start the container and get a shell inside it. You can find more details about the server and supported parameters here. Note that it is not optimized for performance.
CPU version¶
docker run --rm -it -p 5002:5002 --entrypoint /bin/bash ghcr.io/idiap/coqui-tts-cpu
tts-server --list_models #To get the list of available models
tts-server --model_name tts_models/en/vctk/vits
GPU version¶
docker run --rm -it -p 5002:5002 --gpus all --entrypoint /bin/bash ghcr.io/idiap/coqui-tts
tts-server --list_models #To get the list of available models
tts-server --model_name tts_models/en/vctk/vits --use_cuda
You can then find a web interface at: http://localhost:5002
Docker Compose¶
Alternatively to docker run, you can use Docker
Compose with the following configuration in a
compose.yaml file:
services:
coqui:
image: ghcr.io/idiap/coqui-tts-cpu
container_name: coqui
ports:
- "5002:5002"
entrypoint: /bin/bash
command: -c "tts-server --model_name tts_models/multilingual/multi-dataset/xtts_v2"
To persistently store models onto your local hard drive, you can add the following lines, adjusting the left-hand side as desired:
volumes:
- C:\Users\<user>\AppData\Local\tts:/root/.local/share/tts
Then start the container with:
docker-compose up