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docker.io/vulcanist/lichtfeld-studio:latest
linux/amd64 docker.io

该镜像为lichtfeld-studio的运行环境,包含相关工具与依赖,适用于创意工作室的视觉设计、媒体内容处理等工作场景。

14
浏览次数
7.02GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest
源镜像
docker.io/vulcanist/lichtfeld-studio:latest
镜像ID
sha256:a95c743096f3f1a7bbd7d1ca122a3ac41f221d04293c2696361b739eafdee774
镜像 TAG
latest
镜像大小
7.02GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/usr/local/bin/entrypoint.sh
工作目录
/home/user
OS/平台
linux/amd64
镜像创建
2026-08-20T12:55:28.721158629+02:00
同步时间
2026-08-21 01:16
浏览量
14 次
贡献者
⚙️ 环境变量 24
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 2
NV_CUDA_CUDART_VERSION=12.8.57-1 3
CUDA_VERSION=12.8.0 4
LD_LIBRARY_PATH=/usr/local/lib/colmap_libs:/usr/local/lib/lfs_libs:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=12.8.0-1 8
NV_NVTX_VERSION=12.8.55-1 9
NV_LIBNPP_VERSION=12.3.3.65-1 10
NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.65-1 11
NV_LIBCUSPARSE_VERSION=12.5.7.53-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8 13
NV_LIBCUBLAS_VERSION=12.8.3.14-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.3.14-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 17
NCCL_VERSION=2.25.1-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8 19
NVIDIA_PRODUCT_NAME=CUDA 20
DEBIAN_FRONTEND=noninteractive 21
USER=user 22
HOME=/home/user 23
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
24.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-08-21 01:17 查看完整报告
92
低危 LOW
491
中危 MEDIUM
20
高危 HIGH
0
严重 CRITICAL
受影响目标 (2)
docker.io/vulcanist/lichtfeld-studio:latest (ubuntu 24.04) ubuntu usr/local/bin/filebrowser gobinary

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest  docker.io/vulcanist/lichtfeld-studio:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest  docker.io/vulcanist/lichtfeld-studio:latest

Shell快速替换命令

sed -i 's#vulcanist/lichtfeld-studio:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest  docker.io/vulcanist/lichtfeld-studio:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vulcanist/lichtfeld-studio:latest  docker.io/vulcanist/lichtfeld-studio:latest'

镜像构建历史


# 2026-08-20 18:55:28  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
                        
# 2026-08-20 18:55:28  4.75KB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=user /bin/sh -c echo '#!/bin/sh' >> ${HOME}/.docker_whale &&     echo 'colorred="\033[31m"' >> ${HOME}/.docker_whale &&     echo 'colorpowder_blue="\033[1;36m"' >> ${HOME}/.docker_whale &&     echo 'colorblue="\033[34m"' >> ${HOME}/.docker_whale &&     echo 'colornormal="\033[0m"' >> ${HOME}/.docker_whale &&     echo 'colorwhite="\033[97m"' >> ${HOME}/.docker_whale &&     echo 'colorlightgrey="\033[90m"' >> ${HOME}/.docker_whale &&     echo '' >> ${HOME}/.docker_whale &&     echo 'printf "                   ${colorred} ##       ${colorlightgrey} .         \n"' >> ${HOME}/.docker_whale &&     echo 'printf "             ${colorred} ## ## ##      ${colorlightgrey} ==         \n"' >> ${HOME}/.docker_whale &&     echo 'printf "           ${colorred}## ## ## ##      ${colorlightgrey}===         \n"' >> ${HOME}/.docker_whale &&     echo 'printf "       /\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\\\___/ ===       \n"' >> ${HOME}/.docker_whale &&     echo 'printf "  ${colorblue}~~~ ${colorlightgrey}{${colorblue}~~ ~~~~ ~~~ ~~~~ ~~ ~ ${colorlightgrey}/  ===- ${colorblue}~~~${colorlightgrey}\n"' >> ${HOME}/.docker_whale &&     echo 'printf "       \\\______${colorwhite} o ${colorlightgrey}         __/           \n"' >> ${HOME}/.docker_whale &&     echo 'printf "         \\\    \\\        __/            \n"' >> ${HOME}/.docker_whale &&     echo 'printf "          \\\____\\\______/               \n"' >> ${HOME}/.docker_whale &&     echo 'printf "\n${colorwhite}Welcome to LichtFeld-Studio dev container!${colornormal}\n"' >> ${HOME}/.docker_whale &&     echo "bash \$HOME/.docker_whale" >> ${HOME}/.bashrc # buildkit
                        
# 2026-08-20 18:55:28  36.62MB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=user /bin/sh -c curl -fsSL https://raw.githubusercontent.com/filebrowser/get/master/get.sh | sudo bash &&     echo 'echo "Starting FileBrowser on port 8085..."' >> ${HOME}/.bashrc &&     echo 'filebrowser -r ${HOME} -p 8085 -a 0.0.0.0 --noauth > /dev/null 2>&1 &' >> ${HOME}/.bashrc # buildkit
                        
# 2026-08-20 18:55:25  0.00B 指定运行容器时使用的用户
USER user
                        
# 2026-08-20 18:55:25  194.08MB 复制新文件或目录到容器中
COPY --chown=user:user /export/lfs/bin/LichtFeld-Studio /home/user/LichtFeld-Studio/build/LichtFeld-Studio # buildkit
                        
# 2026-08-20 18:55:24  0.00B 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=user /bin/sh -c mkdir -p ${HOME}/LichtFeld-Studio/build # buildkit
                        
# 2026-08-20 18:55:24  49.78KB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=user /bin/sh -c ldconfig # buildkit
                        
# 2026-08-20 18:55:23  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/lib/colmap_libs:/usr/local/lib/lfs_libs:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-08-20 18:55:23  1.33GB 复制新文件或目录到容器中
COPY /export/lfs_libs /usr/local/lib/lfs_libs # buildkit
                        
# 2026-08-20 18:55:21  403.25MB 复制新文件或目录到容器中
COPY /export/colmap_libs /usr/local/lib/colmap_libs # buildkit
                        
# 2026-08-20 18:55:20  855.20MB 复制新文件或目录到容器中
COPY /export/colmap /usr/local/ # buildkit
                        
# 2026-08-20 16:16:21  0.00B 设置工作目录为/home/user
WORKDIR /home/user
                        
# 2026-08-20 16:16:21  0.00B 设置环境变量 HOME
ENV HOME=/home/user
                        
# 2026-08-20 16:16:21  0.00B 设置环境变量 USER
ENV USER=user
                        
# 2026-08-20 16:16:21  11.61KB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=user /bin/sh -c set -eux; EXISTING_USER_BY_UID=$(getent passwd "${USER_UID}" | cut -d: -f1 || true); if [ -n "$EXISTING_USER_BY_UID" ]; then userdel -r "$EXISTING_USER_BY_UID" || true; fi; if id "${USERNAME}" >/dev/null 2>&1; then userdel -r "${USERNAME}" || true; fi; if getent group "${USER_GID}" >/dev/null; then groupdel "$(getent group "${USER_GID}" | cut -d: -f1)"; fi; if getent group "${USERNAME}" >/dev/null; then groupdel "${USERNAME}"; fi; groupadd --gid "${USER_GID}" "${USERNAME}"; useradd -m -u "${USER_UID}" -g "${USER_GID}" "${USERNAME}"; usermod -aG sudo "${USERNAME}"; echo "${USERNAME} ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers # buildkit
                        
# 2026-08-20 16:16:20  0.00B 定义构建参数
ARG USERNAME
                        
# 2026-08-20 16:16:20  0.00B 定义构建参数
ARG USER_GID
                        
# 2026-08-20 16:16:20  0.00B 定义构建参数
ARG USER_UID
                        
# 2026-08-20 16:16:20  208.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/local/bin/entrypoint.sh # buildkit
                        
# 2026-08-20 16:16:20  208.00B 复制新文件或目录到容器中
COPY docker/entrypoint.sh /usr/local/bin/entrypoint.sh # buildkit
                        
# 2026-08-20 16:16:20  776.00MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         curl         sudo         python3         python3-pip         ffmpeg         locales         nano         htop         libxinerama1         libxcursor1         libglu1-mesa         libgtk-3-0         libegl1         libgomp1         ca-certificates         libxkbcommon-x11-0         libxcb-cursor0         libxcb-icccm4         libxcb-keysyms1         libsm6         libxcb-xinput0         libcudss0-cuda-12 &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-20 16:16:20  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-01-27 07:06:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-01-27 07:06:37  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-01-27 07:06:37  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-01-27 07:06:37  239.16KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2025-01-27 07:06:37  3.13GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-8=${NV_NVTX_VERSION}     libcusparse-12-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:06:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-01-27 07:06:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.3.14-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.3.14-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.7.53-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.65-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.65-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.55-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.0-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-01-27 07:06:37  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-01-27 07:06:37  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-01-27 07:06:37  203.12MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.0
                        
# 2025-01-27 07:06:37  10.24MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:06:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-01-27 07:06:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.57-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-11-20 01:29:25  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-11-20 01:29:25  78.12MB 
/bin/sh -c #(nop) ADD file:bcebbf0fddcba5b864d5d267b68dd23bcfb01275e6ec7bcab69bf8b56af14804 in / 
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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}

更多版本

docker.io/vulcanist/lichtfeld-studio:latest

linux/amd64 docker.io7.02GB2026-08-21 01:16
13
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