Add docker docs

docs/source/docker_images.md

@@ -0,0 +1,56 @@
+(docker_images)=
+## 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
+```bash
+docker pull ghcr.io/coqui-ai/tts-cpu
+```
+#### GPU version
+```bash
+docker pull ghcr.io/coqui-ai/tts
+```
+
+### Building your own image
+```bash
+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
+```bash
+docker run --rm -v ~/tts-output:/root/tts-output ghcr.io/coqui-ai/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 CUDA version supported, it must be >= 11.8
+
+```bash
+docker run --rm --gpus all -v ~/tts-output:/root/tts-output ghcr.io/coqui-ai/tts --text "Hello." --out_path /root/tts-output/hello.wav --use_cuda true
+```
+
+## Start a server
+Starting a TTS server:
+Start the container and get a shell inside it.
+
+### CPU version
+```bash
+docker run --rm -it -p 5002:5002 --entrypoint /bin/bash ghcr.io/coqui-ai/tts-cpu
+python3 TTS/server/server.py --list_models #To get the list of available models
+python3 TTS/server/server.py --model_name tts_models/en/vctk/vits 
+```
+
+### GPU version
+```bash
+docker run --rm -it -p 5002:5002 --gpus all --entrypoint /bin/bash ghcr.io/coqui-ai/tts
+python3 TTS/server/server.py --list_models #To get the list of available models
+python3 TTS/server/server.py --model_name tts_models/en/vctk/vits --use_cuda true
+```
+
+Click [there](http://[::1]:5002/) and have fun with the server!

docs/source/index.md

@@ -20,6 +20,7 @@
     :caption: Using 🐸TTS
 
     inference
+    docker_images
     implementing_a_new_model
     training_a_model
     finetuning