Blender is a free and open-source 3D computer graphics software toolset used for creating animated films, visual effects, art, 3D printed models, motion graphics, interactive 3D applications, virtual reality, and computer games. This image does not support GPU rendering out of the box only accelerated workspace experience

Supported Architectures

We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.
Simply pulling should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
The architectures supported by this image are:
amd64-<version tag>
arm64v8-<version tag>
arm32v7-<version tag>

Application Setup

The application can be accessed at:
  • http://yourhost:3000/
By default the user/pass is abc/abc, if you change your password or want to login manually to the GUI session for any reason use the following link:
  • http://yourhost:3000/?login=true
You can also force login on the '/' path without this parameter by passing the environment variable -e AUTO_LOGIN=false.

Hardware Acceleration

This only applies to your desktop experience, this container is capable of supporting accelerated rendering with /dev/dri mounted in, but the AMD HIP and Nvidia CUDA runtimes are massive which are not installed by default in this container.


To leverage hardware acceleration you will need to mount /dev/dri video device inside of the conainer.
We will automatically ensure the abc user inside of the container has the proper permissions to access this device.


Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime --runtime=nvidia and add an environment variable -e NVIDIA_VISIBLE_DEVICES=all (can also be set to a specific gpu's UUID, this can be discovered by running nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv ). NVIDIA automatically mounts the GPU and drivers from your host into the container.

Arm Devices

Arm devices can run this image, but generally should not mount in /dev/dri. The OpenGL ES version is not high enough to run Blender. The program can run on these platforms though, leveraging CPU LLVMPipe rendering.
Due to lack of arm32/64 binaries from the upstream project, our arm32/64 images install the latest version from the ubuntu repo, which is usually behind and thus the version the image is tagged with does not match the version contained.

Keyboard Layouts

This should match the layout on the computer you are accessing the container from. The keyboard layouts available for use are:
  • da-dk-qwerty- Danish keyboard
  • de-ch-qwertz- Swiss German keyboard (qwertz)
  • de-de-qwertz- German keyboard (qwertz) - OSK available
  • en-gb-qwerty- English (UK) keyboard
  • en-us-qwerty- English (US) keyboard - OSK available DEFAULT
  • es-es-qwerty- Spanish keyboard - OSK available
  • fr-ch-qwertz- Swiss French keyboard (qwertz)
  • fr-fr-azerty- French keyboard (azerty) - OSK available
  • it-it-qwerty- Italian keyboard - OSK available
  • ja-jp-qwerty- Japanese keyboard
  • pt-br-qwerty- Portuguese Brazilian keyboard
  • sv-se-qwerty- Swedish keyboard
  • tr-tr-qwerty- Turkish-Q keyboard


To help you get started creating a container from this image you can either use docker-compose or the docker cli.
version: "2.1"
container_name: blender
- seccomp:unconfined #optional
- PUID=1000
- PGID=1000
- TZ=Europe/London
- SUBFOLDER=/ #optional
- KEYBOARD=en-us-qwerty #optional
- /path/to/config:/config
- 3000:3000
- /dev/dri:/dev/dri #optional
restart: unless-stopped
docker run -d \
--name=blender \
--security-opt seccomp=unconfined `#optional` \
-e PUID=1000 \
-e PGID=1000 \
-e TZ=Europe/London \
-e SUBFOLDER=/ `#optional` \
-e KEYBOARD=en-us-qwerty `#optional` \
-p 3000:3000 \
-v /path/to/config:/config \
--device /dev/dri:/dev/dri `#optional` \
--restart unless-stopped \


Docker images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate <external>:<internal> respectively. For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container.

Ports (-p)

Blender desktop gui

Environment Variables (-e)

for UserID - see below for explanation
for GroupID - see below for explanation
Specify a timezone to use EG Europe/London
Specify a subfolder to use with reverse proxies, IE /subfolder/
See the keyboard layouts section for more information and options.

Volume Mappings (-v)

Users home directory in the container, stores local files and settings

Device Mappings (--device)

Add this for hardware acceleration (Linux hosts only)

Miscellaneous Options

--security-opt seccomp=unconfined
For Docker Engine only, this may be required depending on your Docker and storage configuration.

Environment variables from files (Docker secrets)

You can set any environment variable from a file by using a special prepend FILE__.
As an example:
-e FILE__PASSWORD=/run/secrets/mysecretpassword
Will set the environment variable PASSWORD based on the contents of the /run/secrets/mysecretpassword file.

Umask for running applications

For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional -e UMASK=022 setting. Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up here before asking for support.

User / Group Identifiers

When using volumes (-v flags), permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user PUID and group PGID.
Ensure any volume directories on the host are owned by the same user you specify and any permissions issues will vanish like magic.
In this instance PUID=1000 and PGID=1000, to find yours use id user as below:
$ id username
uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)

Docker Mods

We publish various Docker Mods to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.

Support Info

  • Shell access whilst the container is running:
    • docker exec -it blender /bin/bash
  • To monitor the logs of the container in realtime:
    • docker logs -f blender
  • Container version number
    • docker inspect -f '{{ index .Config.Labels "build_version" }}' blender
  • Image version number
    • docker inspect -f '{{ index .Config.Labels "build_version" }}'


  • 13.12.22: - Rebase to Jammy, migrate to s6v3.
  • 06.05.22: - Use the full semver version in image tags. Arm32/64 version tags are inaccurate due to installing from ubuntu repo, which is usually behind.
  • 12.03.22: - Initial Release.