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Brandon Rising a674fff17a Update dockerignore, set venv to 3.10, pass cache to yarn vite buidl
2023-07-12 16:51:15 -04:00
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.env.sample (docker) rewrite container implementation with docker-compose support 2023-07-12 16:51:15 -04:00
build.sh Pass env vars as build-args, ensure node modules isn't getting passed in 2023-07-12 16:51:15 -04:00
docker-compose.yml Pass env vars as build-args, ensure node modules isn't getting passed in 2023-07-12 16:51:15 -04:00
docker-entrypoint.sh (docker) only install default models when running the container against a new runtime directory 2023-07-12 16:51:15 -04:00
Dockerfile Update dockerignore, set venv to 3.10, pass cache to yarn vite buidl 2023-07-12 16:51:15 -04:00
README.md (docker) add a README for the docker setup 2023-07-12 16:51:15 -04:00
run.sh (docker) use docker-compose in deprecated build scripts 2023-07-12 16:51:15 -04:00
runpod-readme.md (docker) add README used by the Runpod template 2023-07-12 16:51:15 -04:00

README.md

InvokeAI Containerized

All commands are to be run from the docker directory: cd docker

Linux

  1. Ensure builkit is enabled in the Docker daemon settings (/etc/docker/daemon.json)
  2. Install the docker compose plugin using your package manager, or follow a tutorial.
    • The deprecated docker-compose (hyphenated) CLI continues to work for now.
  3. Ensure docker daemon is able to access the GPU.

macOS

  1. Ensure Docker has at least 16GB RAM
  2. Enable VirtioFS for file sharing
  3. Enable docker compose V2 support

This is done via Docker Desktop preferences

Quickstart

  1. Make a copy of env.sample and name it .env (cp env.sample .env (Mac/Linux) or copy example.env .env (Windows)). Make changes as necessary. Set INVOKEAI_ROOT to an absolute path to: a. the desired location of the InvokeAI runtime directory, or b. an existing, v3.0.0 compatible runtime directory.
  2. docker compose up

The image will be built automatically if needed.

The runtime directory (holding models and outputs) will be created in the location specified by INVOKEAI_ROOT. The default location is ~/invokeai. The runtime directory will be populated with the base configs and models necessary to start generating.

Use a GPU

  • Linux is recommended for GPU support in Docker.
  • WSL2 is required for Windows.
  • only x86_64 architecture is supported.

The Docker daemon on the system must be already set up to use the GPU. In case of Linux, this involves installing nvidia-docker-runtime and configuring the nvidia runtime as default. Steps will be different for AMD. Please see Docker documentation for the most up-to-date instructions for using your GPU with Docker.

Customize

Check the .env.sample file. It contains some environment variables for running in Docker. Copy it, name it .env, and fill it in with your own values. Next time you run docker compose up, your custom values will be used.

You can also set these values in docker compose.yml directly, but .env will help avoid conflicts when code is updated.

Example (most values are optional):

INVOKEAI_ROOT=/Volumes/WorkDrive/invokeai
HUGGINGFACE_TOKEN=the_actual_token
CONTAINER_UID=1000
GPU_DRIVER=cuda

Even Moar Customizing!

See the docker compose.yaml file. The command instruction can be uncommented and used to run arbitrary startup commands. Some examples below.

Reconfigure the runtime directory

Can be used to download additional models from the supported model list

In conjunction with INVOKEAI_ROOT can be also used to initialize a runtime directory

command:
  - invokeai-configure
  - --yes

Or install models:

command:
  - invokeai-model-install