feat: build and push container image for ghcr.io, update docker.md, and other related fixes (#2805)
* chore: update cuda version in container * fix: use symlink to fix error libcuda.so: cannot open shared object file: * fix: update docker entrypoint to use entry_with_update.py * feat: add container build & push workflow * fix: container action run conditions * fix: container action versions * fix: container action versions v2 * fix: docker action registry login and metadata * docs: adjust docker documentation based on latest changes, add docs for podman and docker * chore: replace image name env var with github.event.repository.name Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> * chore: replace image name env var with github.event.repository.name (pt2) Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> * fix: switch to semver versioning Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> * fix: build only on versioned tags Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> * fix: don't update in entrypoint Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> * fix: remove dash in "docker-compose" Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> * feat: sync pytorch for docker with version used in prepare_environment * feat: update cuda to 12.4.1 * fix: correctly clone checked out version in builds, not always main * refactor: remove irrelevant version in docker-compose.yml --------- Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com> Co-authored-by: Manuel Schmid <dev@mash1t.de>
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@ -1 +1,54 @@
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.idea
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__pycache__
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*.ckpt
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*.safetensors
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*.pth
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*.pt
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*.bin
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*.patch
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*.backup
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*.corrupted
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*.partial
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*.onnx
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sorted_styles.json
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/input
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/cache
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/language/default.json
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/test_imgs
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config.txt
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config_modification_tutorial.txt
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user_path_config.txt
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user_path_config-deprecated.txt
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/modules/*.png
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/repositories
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/fooocus_env
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/venv
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/tmp
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/ui-config.json
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/outputs
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/config.json
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/log
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/webui.settings.bat
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/embeddings
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/styles.csv
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/params.txt
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/styles.csv.bak
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/webui-user.bat
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/webui-user.sh
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/interrogate
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/user.css
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/.idea
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/notification.ogg
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/notification.mp3
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/SwinIR
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/textual_inversion
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.vscode
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/extensions
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/test/stdout.txt
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/test/stderr.txt
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/cache.json*
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/config_states/
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/node_modules
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/package-lock.json
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/.coverage*
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/auth.json
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.DS_Store
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@ -0,0 +1,6 @@
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version: 2
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updates:
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- package-ecosystem: "github-actions"
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directory: "/"
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schedule:
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interval: "monthly"
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@ -0,0 +1,44 @@
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name: Create and publish a container image
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on:
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push:
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tags:
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- 'v*'
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jobs:
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build-and-push-image:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Log in to the Container registry
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uses: docker/login-action@v3
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with:
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registry: ghcr.io
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username: ${{ github.repository_owner }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata (tags, labels) for Docker
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ghcr.io/${{ github.repository_owner }}/${{ github.event.repository.name }}
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tags: |
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type=semver,pattern={{version}}
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type=semver,pattern={{major}}.{{minor}}
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type=semver,pattern={{major}}
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- name: Build and push Docker image
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uses: docker/build-push-action@v5
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with:
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context: .
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file: ./Dockerfile
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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@ -1,4 +1,4 @@
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FROM nvidia/cuda:12.3.1-base-ubuntu22.04
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FROM nvidia/cuda:12.4.1-base-ubuntu22.04
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ENV DEBIAN_FRONTEND noninteractive
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ENV CMDARGS --listen
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@ -23,7 +23,7 @@ RUN chown -R user:user /content
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WORKDIR /content
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USER user
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RUN git clone https://github.com/lllyasviel/Fooocus /content/app
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COPY . /content/app
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RUN mv /content/app/models /content/app/models.org
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CMD [ "sh", "-c", "/content/entrypoint.sh ${CMDARGS}" ]
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@ -1,12 +1,10 @@
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version: '3.9'
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volumes:
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fooocus-data:
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services:
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app:
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build: .
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image: fooocus
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image: ghcr.io/lllyasviel/fooocus
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ports:
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- "7865:7865"
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environment:
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82
docker.md
82
docker.md
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@ -1,35 +1,99 @@
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# Fooocus on Docker
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The docker image is based on NVIDIA CUDA 12.3 and PyTorch 2.0, see [Dockerfile](Dockerfile) and [requirements_docker.txt](requirements_docker.txt) for details.
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The docker image is based on NVIDIA CUDA 12.4 and PyTorch 2.1, see [Dockerfile](Dockerfile) and [requirements_docker.txt](requirements_docker.txt) for details.
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## Requirements
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- A computer with specs good enough to run Fooocus, and proprietary Nvidia drivers
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- Docker, Docker Compose, or Podman
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## Quick start
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**This is just an easy way for testing. Please find more information in the [notes](#notes).**
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**More information in the [notes](#notes).**
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### Running with Docker Compose
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1. Clone this repository
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2. Build the image with `docker compose build`
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3. Run the docker container with `docker compose up`. Building the image takes some time.
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2. Run the docker container with `docker compose up`.
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### Running with Docker
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```sh
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docker run -p 7865:7865 -v fooocus-data:/content/data -it \
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--gpus all \
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-e CMDARGS=--listen \
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-e DATADIR=/content/data \
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-e config_path=/content/data/config.txt \
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-e config_example_path=/content/data/config_modification_tutorial.txt \
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-e path_checkpoints=/content/data/models/checkpoints/ \
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-e path_loras=/content/data/models/loras/ \
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-e path_embeddings=/content/data/models/embeddings/ \
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-e path_vae_approx=/content/data/models/vae_approx/ \
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-e path_upscale_models=/content/data/models/upscale_models/ \
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-e path_inpaint=/content/data/models/inpaint/ \
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-e path_controlnet=/content/data/models/controlnet/ \
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-e path_clip_vision=/content/data/models/clip_vision/ \
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-e path_fooocus_expansion=/content/data/models/prompt_expansion/fooocus_expansion/ \
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-e path_outputs=/content/app/outputs/ \
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ghcr.io/lllyasviel/fooocus
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```
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### Running with Podman
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```sh
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podman run -p 7865:7865 -v fooocus-data:/content/data -it \
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--security-opt=no-new-privileges --cap-drop=ALL --security-opt label=type:nvidia_container_t --device=nvidia.com/gpu=all \
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-e CMDARGS=--listen \
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-e DATADIR=/content/data \
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-e config_path=/content/data/config.txt \
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-e config_example_path=/content/data/config_modification_tutorial.txt \
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-e path_checkpoints=/content/data/models/checkpoints/ \
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-e path_loras=/content/data/models/loras/ \
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-e path_embeddings=/content/data/models/embeddings/ \
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-e path_vae_approx=/content/data/models/vae_approx/ \
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-e path_upscale_models=/content/data/models/upscale_models/ \
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-e path_inpaint=/content/data/models/inpaint/ \
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-e path_controlnet=/content/data/models/controlnet/ \
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-e path_clip_vision=/content/data/models/clip_vision/ \
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-e path_fooocus_expansion=/content/data/models/prompt_expansion/fooocus_expansion/ \
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-e path_outputs=/content/app/outputs/ \
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ghcr.io/lllyasviel/fooocus
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```
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When you see the message `Use the app with http://0.0.0.0:7865/` in the console, you can access the URL in your browser.
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Your models and outputs are stored in the `fooocus-data` volume, which, depending on OS, is stored in `/var/lib/docker/volumes`.
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Your models and outputs are stored in the `fooocus-data` volume, which, depending on OS, is stored in `/var/lib/docker/volumes/` (or `~/.local/share/containers/storage/volumes/` when using `podman`).
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## Building the container locally
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Clone the repository first, and open a terminal in the folder.
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Build with `docker`:
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```sh
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docker build . -t fooocus
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```
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Build with `podman`:
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```sh
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podman build . -t fooocus
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```
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## Details
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### Update the container manually
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### Update the container manually (`docker compose`)
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When you are using `docker compose up` continuously, the container is not updated to the latest version of Fooocus automatically.
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Run `git pull` before executing `docker compose build --no-cache` to build an image with the latest Fooocus version.
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You can then start it with `docker compose up`
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### Import models, outputs
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If you want to import files from models or the outputs folder, you can uncomment the following settings in the [docker-compose.yml](docker-compose.yml):
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If you want to import files from models or the outputs folder, you can add the following bind mounts in the [docker-compose.yml](docker-compose.yml) or your preferred method of running the container:
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```
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#- ./models:/import/models # Once you import files, you don't need to mount again.
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#- ./outputs:/import/outputs # Once you import files, you don't need to mount again.
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```
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After running `docker compose up`, your files will be copied into `/content/data/models` and `/content/data/outputs`
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Since `/content/data` is a persistent volume folder, your files will be persisted even when you re-run `docker compose up --build` without above volume settings.
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After running the container, your files will be copied into `/content/data/models` and `/content/data/outputs`
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Since `/content/data` is a persistent volume folder, your files will be persisted even when you re-run the container without the above mounts.
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### Paths inside the container
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torch==2.0.1
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torchvision==0.15.2
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torchaudio==2.0.2
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torchtext==0.15.2
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torchdata==0.6.1
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torch==2.1.0
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torchvision==0.16.0
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