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
We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.
Simply pulling lscr.io/linuxserver/blender:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
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.
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
We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.
Simply pulling lscr.io/linuxserver/blender:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
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.
Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here: https://github.com/NVIDIA/nvidia-docker
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 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 arm64 binaries from the upstream project, our arm64 image installs 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.
This container is based on Docker Baseimage KasmVNC which means there are additional environment variables and run configurations to enable or disable specific functionality.
Will start a Docker in Docker (DinD) setup inside the container to use docker in an isolated environment. For increased performance mount the Docker directory inside the container to the host IE -v /home/user/docker-data:/var/lib/docker.
-v /var/run/docker.sock:/var/run/docker.sock
Mount in the host level Docker socket to either interact with it via CLI or use Docker enabled applications.
--device /dev/dri:/dev/dri
Mount a GPU into the container, this can be used in conjunction with the DRINODE environment variable to leverage a host video card for GPU accelerated appplications. Only Open Source drivers are supported IE (Intel,AMDGPU,Radeon,ATI,Nouveau)
The environment variable LC_ALL can be used to start this image in a different language than English simply pass for example to launch the Desktop session in French LC_ALL=fr_FR.UTF-8. Some languages like Chinese, Japanese, or Korean will be missing fonts needed to render properly known as cjk fonts, but others may exist and not be installed. We only ensure fonts for Latin characters are present. Fonts can be installed with a mod on startup.
To install cjk fonts on startup as an example pass the environment variables:
10.02.24: - Update Readme with new env vars and ingest proper PWA icon.
18.03.23: - Rebase to KasmVNC base image.
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.
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Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.
10.02.24: - Update Readme with new env vars and ingest proper PWA icon.
18.03.23: - Rebase to KasmVNC base image.
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.