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32 lines
1.8 KiB
Bash
32 lines
1.8 KiB
Bash
## Make a copy of this file named `.env` and fill in the values below.
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## Any environment variables supported by InvokeAI can be specified here,
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## in addition to the examples below.
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## INVOKEAI_ROOT is the path *on the host system* where Invoke will store its data.
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## It is mounted into the container and allows both containerized and non-containerized usage of Invoke.
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# Usually this is the only variable you need to set. It can be relative or absolute.
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# INVOKEAI_ROOT=~/invokeai
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## HOST_INVOKEAI_ROOT and CONTAINER_INVOKEAI_ROOT can be used to control the on-host
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## and in-container paths separately, if needed.
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## HOST_INVOKEAI_ROOT is the path on the docker host's filesystem where Invoke will store data.
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## If relative, it will be relative to the docker directory in which the docker-compose.yml file is located
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## CONTAINER_INVOKEAI_ROOT is the path within the container where Invoke will expect to find the runtime directory.
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## It MUST be absolute. There is usually no need to change this.
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# HOST_INVOKEAI_ROOT=../../invokeai-data
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# CONTAINER_INVOKEAI_ROOT=/invokeai
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## INVOKEAI_PORT is the port on which the InvokeAI web interface will be available
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# INVOKEAI_PORT=9090
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## GPU_DRIVER can be set to either `cuda` or `rocm` to enable GPU support in the container accordingly.
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# GPU_DRIVER=cuda #| rocm
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## If you are using ROCM, you will need to ensure that the render group within the container and the host system use the same group ID.
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## To obtain the group ID of the render group on the host system, run `getent group render` and grab the number.
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# RENDER_GROUP_ID=
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## CONTAINER_UID can be set to the UID of the user on the host system that should own the files in the container.
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## It is usually not necessary to change this. Use `id -u` on the host system to find the UID.
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# CONTAINER_UID=1000
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