mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
77 lines
2.9 KiB
Markdown
77 lines
2.9 KiB
Markdown
# 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](https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-compose-on-ubuntu-22-04).
|
|
- The deprecated `docker-compose` (hyphenated) CLI continues to work for now.
|
|
3. Ensure docker daemon is able to access the GPU.
|
|
- You may need to install [nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)
|
|
|
|
#### 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.
|
|
1. `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
|
|
``` |