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)
This container is capable of delivering a true lossless image at a high framerate to your web browser by changing the Stream Quality preset to "Lossless", more information here. In order to use this mode from a non localhost endpoint the HTTPS port on 3001 needs to be used. If using a reverse proxy to port 3000 specific headers will need to be set as outlined here.
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.
Last update: October 12, 2023 Created: February 5, 2019
\ No newline at end of file
+
Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.
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.
Last update: November 16, 2023 Created: February 5, 2019
\ No newline at end of file
diff --git a/sitemap.xml.gz b/sitemap.xml.gz
index d1cadcac3c..764d6ff63c 100644
Binary files a/sitemap.xml.gz and b/sitemap.xml.gz differ