mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Debloat-docker (#1612)
* debloat Dockerfile - less options more but more userfriendly - better Entrypoint to simulate CLI usage - without command the container still starts the web-host * debloat build.sh * better syntax in run.sh * update Docker docs - fix description of VOLUMENAME - update run script example to reflect new entrypoint
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@ -18,24 +18,17 @@ RUN apt-get update \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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ARG PIP_REQUIREMENTS=requirements-lin-cuda.txt
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ARG PROJECT_NAME=invokeai
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ARG INVOKEAI_ROOT=/data
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ENV INVOKEAI_ROOT=${INVOKEAI_ROOT}
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# set workdir and copy sources
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WORKDIR /${PROJECT_NAME}
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COPY . .
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WORKDIR /invokeai
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ARG PIP_REQUIREMENTS=requirements-lin-cuda.txt
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COPY . ./environments-and-requirements/${PIP_REQUIREMENTS} ./
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# install requirements and link outputs folder
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RUN cp \
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./environments-and-requirements/${PIP_REQUIREMENTS} \
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${PIP_REQUIREMENTS} \
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&& pip install \
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--no-cache-dir \
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-r ${PIP_REQUIREMENTS} \
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&& ln -sf /data/outputs /${PROJECT_NAME}/outputs
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RUN pip install \
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--no-cache-dir \
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-r ${PIP_REQUIREMENTS}
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# set Entrypoint and default CMD
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ENTRYPOINT [ "python3" ]
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CMD [ "scripts/invoke.py", "--web", "--host", "0.0.0.0" ]
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# set Environment, Entrypoint and default CMD
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ENV INVOKEAI_ROOT /data
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ENTRYPOINT [ "python3", "scripts/invoke.py", "--outdir=/data/outputs" ]
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CMD [ "--web", "--host=0.0.0.0" ]
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@ -1,10 +1,12 @@
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#!/usr/bin/env bash
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set -e
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# IMPORTANT: You need to have a token on huggingface.co to be able to download the checkpoint!!!
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# configure values by using env when executing build.sh
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# f.e. env ARCH=aarch64 GITHUB_INVOKE_AI=https://github.com/yourname/yourfork.git ./build.sh
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source ./docker-build/env.sh || echo "please run from repository root" || exit 1
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# IMPORTANT: You need to have a token on huggingface.co to be able to download the checkpoints!!!
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# configure values by using env when executing build.sh f.e. `env ARCH=aarch64 ./build.sh`
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source ./docker-build/env.sh \
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|| echo "please execute docker-build/build.sh from repository root" \
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|| exit 1
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pip_requirements=${PIP_REQUIREMENTS:-requirements-lin-cuda.txt}
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dockerfile=${INVOKE_DOCKERFILE:-docker-build/Dockerfile}
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@ -13,28 +15,14 @@ dockerfile=${INVOKE_DOCKERFILE:-docker-build/Dockerfile}
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echo "You are using these values:"
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echo -e "Dockerfile:\t\t ${dockerfile}"
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echo -e "requirements:\t\t ${pip_requirements}"
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echo -e "project_name:\t\t ${project_name}"
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echo -e "volumename:\t\t ${volumename}"
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echo -e "arch:\t\t\t ${arch}"
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echo -e "platform:\t\t ${platform}"
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echo -e "invokeai_tag:\t\t ${invokeai_tag}\n"
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_runAlpine() {
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docker run \
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--rm \
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--interactive \
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--tty \
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--mount source="$volumename",target=/data \
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--workdir /data \
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alpine "$@"
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}
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_checkVolumeContent() {
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_runAlpine ls -lhA /data/models
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}
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if [[ -n "$(docker volume ls -f name="${volumename}" -q)" ]]; then
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echo "Volume already exists"
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echo
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else
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echo -n "createing docker volume "
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docker volume create "${volumename}"
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@ -44,7 +32,6 @@ fi
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docker build \
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--platform="${platform}" \
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--tag="${invokeai_tag}" \
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--build-arg="PROJECT_NAME=${project_name}" \
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--build-arg="PIP_REQUIREMENTS=${pip_requirements}" \
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--file="${dockerfile}" \
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.
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@ -57,5 +44,6 @@ docker run \
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--mount="source=$volumename,target=/data" \
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--mount="type=bind,source=$HOME/.huggingface,target=/root/.huggingface" \
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--env="HUGGINGFACE_TOKEN=${HUGGINGFACE_TOKEN}" \
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--entrypoint="python3" \
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"${invokeai_tag}" \
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scripts/configure_invokeai.py --yes
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@ -7,9 +7,9 @@ docker run \
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--interactive \
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--tty \
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--rm \
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--platform "$platform" \
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--name "$project_name" \
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--hostname "$project_name" \
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--mount source="$volumename",target=/data \
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--publish 9090:9090 \
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--platform="$platform" \
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--name="$project_name" \
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--hostname="$project_name" \
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--mount="source=$volumename,target=/data" \
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--publish=9090:9090 \
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"$invokeai_tag" ${1:+$@}
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@ -78,7 +78,7 @@ Some Suggestions of variables you may want to change besides the Token:
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| -------------------- | ----------------------------- | -------------------------------------------------------------------------------------------- |
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| `HUGGINGFACE_TOKEN` | No default, but **required**! | This is the only **required** variable, without it you can't download the huggingface models |
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| `PROJECT_NAME` | `invokeai` | affects the project folder, tag- and volume name |
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| `VOLUMENAME` | `${PROJECT_NAME}_data` | affects the project folder, tag- and volume name |
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| `VOLUMENAME` | `${PROJECT_NAME}_data` | Name of the Docker Volume where model files will be stored |
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| `ARCH` | `x86_64` | can be changed to f.e. aarch64 if you are using a ARM based CPU |
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| `INVOKEAI_TAG` | `${PROJECT_NAME}:${ARCH}` | the Container Repository / Tag which will be used |
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| `PIP_REQUIREMENTS` | `requirements-lin-cuda.txt` | the requirements file to use (from `environments-and-requirements`) |
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@ -111,13 +111,13 @@ When used without arguments, the container will start the webserver and provide
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you the link to open it. But if you want to use some other parameters you can
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also do so.
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!!! example ""
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!!! example "run script example"
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```bash
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./docker-build/run.sh scripts/invoke.py
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./docker-build/run.sh "banana sushi" -Ak_lms -S42 -s10
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```
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This would start the CLI instead of the default command that starts the webserver.
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This would generate the legendary "banana sushi" with Seed 42, k_lms Sampler and 10 steps.
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Find out more about available CLI-Parameters at [features/CLI.md](../../features/CLI/#arguments)
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