Docker container for running virtual machines using QEMU.
Web-based viewer to control the machine directly from your browser
Supports .iso, .img, .qcow2, .vhd, .vhdx, .vdi, .vmdk and .raw disk formats
High-performance options (like KVM acceleration, kernel-mode networking, IO threading, etc.) to achieve near-native speed
Via Docker Compose:
services: qemu: container_name: qemu image: qemux/qemu-docker environment: BOOT: "https://dl-cdn.alpinelinux.org/alpine/v3.19/releases/x86_64/alpine-virt-3.19.1-x86_64.iso" devices: - /dev/kvm cap_add: - NET_ADMIN ports: - 8006:8006 stop_grace_period: 2m
Via Docker CLI:
docker run -it --rm -e "BOOT=http://example.com/image.iso" -p 8006:8006 --device=/dev/kvm --cap-add NET_ADMIN qemux/qemu-docker
Via Kubernetes:
kubectl apply -f kubernetes.yml
Very simple! These are the steps:
Set the BOOT environment variable to the URL of any disk image you want to install.
Start the container and connect to port 8006 using your web browser.
You will see the screen and can now install the OS of your choice using your keyboard and mouse.
Enjoy your brand new machine, and don't forget to star this repo!
To change the storage location, include the following bind mount in your compose file:
volumes: - /var/qemu:/storage
Replace the example path /var/qemu with the desired storage folder.
To expand the default size of 16 GB, add the DISK_SIZE setting to your compose file and set it to your preferred capacity:
environment: DISK_SIZE: "128G"
[!TIP] This can also be used to resize the existing disk to a larger capacity without any data loss.
You can use a local image file directly, and skip the download altogether, by binding it in your compose file:
volumes: - /home/user/example.iso:/boot.iso
This way you can supply a boot.iso, boot.img or boot.qcow2 file.
[!NOTE] The URL of the
BOOTvariable will be ignored in this case.
You can use qemu-arm to run ARM64-based images.
Use dockur/windows instead, as it includes all the drivers required during installation, amongst many other features.
Use dockur/macos instead, as it uses all the right settings and automaticly downloads the installation files.
By default, the machine makes use of virtio-scsi drives for performance reasons, and even though most Linux kernels bundle the necessary driver for this device, that may not always be the case for other operating systems.
If your machine fails to detect the hard drive, you can modify your compose file to use virtio-blk instead:
environment: DISK_TYPE: "blk"
[!TIP] If it still fails to boot, you can set the value to
ideto emulate a IDE drive, which is slow but requires no drivers and is compatible with almost every system.
By default, the container will be allowed to use a maximum of 1 CPU core and 1 GB of RAM.
If you want to adjust this, you can specify the desired amount using the following environment variables:
environment: RAM_SIZE: "4G" CPU_CORES: "4"
To verify that your system supports KVM, run the following commands:
sudo apt install cpu-checker sudo kvm-ok
If you receive an error from kvm-ok indicating that KVM acceleration can't be used, please check whether:
the virtualization extensions (Intel VT-x or AMD SVM) are enabled in your BIOS.
you are running an operating system that supports them, like Linux or Windows 11 (macOS and Windows 10 do not unfortunately).
you enabled "nested virtualization" if you are running the container inside a virtual machine.
you are not using a cloud provider, as most of them do not allow nested virtualization for their VPS's.
If you didn't receive any error from kvm-ok at all, but the container still complains that /dev/kvm is missing, it might help to add privileged: true to your compose file (or --privileged to your run command), to rule out any permission issue.
By default, the container uses bridge networking, which shares the IP address with the host.
If you want to assign an individual IP address to the container, you can create a macvlan network as follows:
docker network create -d macvlan \ --subnet=192.168.0.0/24 \ --gateway=192.168.0.1 \ --ip-range=192.168.0.100/28 \ -o parent=eth0 vlan
Be sure to modify these values to match your local subnet.
Once you have created the network, change your compose file to look as follows:
services: qemu: container_name: qemu ..<snip>.. networks: vlan: ipv4_address: 192.168.0.100 networks: vlan: external: true
An added benefit of this approach is that you won't have to perform any port mapping anymore, since all ports will be exposed by default.
[!IMPORTANT] This IP address won't be accessible from the Docker host due to the design of macvlan, which doesn't permit communication between the two. If this is a concern, you need to create a second macvlan as a workaround.
After configuring the container for macvlan, it is possible for the VM to become part of your home network by requesting an IP from your router, just like a real PC.
To enable this mode, add the following lines to your compose file:
environment: DHCP: "Y" devices: - /dev/vhost-net device_cgroup_rules: - 'c *:* rwm'
[!NOTE] In this mode, the container and the VM will each have their own separate IPs.
To create additional disks, modify your compose file like this:
environment: DISK2_SIZE: "32G" DISK3_SIZE: "64G" volumes: - /home/example:/storage2 - /mnt/data/example:/storage3
It is possible to pass-through disk devices directly by adding them to your compose file in this way:
devices: - /dev/sdb:/disk1 - /dev/sdc:/disk2
Use /disk1 if you want it to become your main drive, and use /disk2 and higher to add them as secondary drives.
To pass-through a USB device, first lookup its vendor and product id via the lsusb command, then add them to your compose file like this:
environment: ARGUMENTS: "-device usb-host,vendorid=0x1234,productid=0x1234" devices: - /dev/bus/usb
You can create the ARGUMENTS environment variable to provide additional arguments to QEMU at runtime:
environment: ARGUMENTS: "-device usb-tablet"
The BOOT URL accepts files in any of the following formats:
| Extension | Format |
|---|---|
.img | Raw |
.raw | Raw |
.iso | Optical |
.qcow2 | QEMU |
.vmdk | VMware |
.vhd | VirtualPC |
.vhdx | Hyper-V |
.vdi | VirtualBox |
[!TIP] It will also accept
.img.gz,.qcow2.xz,.iso.zipand many more, as it automaticly extracts compressed files.


免费创建高清无水印Sora视频
Vora是一个免费创建高清无水印Sora视频的AI工具


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通 过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平台
AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。


企业专属的AI法律顾问
iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。


稳定高效的流量提升解决方案,助力品牌曝光
稳定高效的流量提升解决方案,助力品牌曝光


最新版Sora2模型免费使用,一键生成无水印视频
最新版Sora2模型免费使用,一键生成无水印视频
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫一扫关注公众号