docker.io/hunyuanvideo/hunyuanvideo:cuda_12 - 镜像下载

docker.io/hunyuanvideo/hunyuanvideo:cuda_12

linux/amd64 docker.io

此Docker镜像 docker.io/hunyuanvideo/hunyuanvideo 包含了HunYuanVideo的相关组件和依赖，用于运行HunYuanVideo系统。具体功能需要参考HunYuanVideo项目的文档。

799

浏览次数

16.45GB

镜像大小

源镜像

docker.io/hunyuanvideo/hunyuanvideo:cuda_12

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12

镜像ID

sha256:845f6069ab5672d90a984f13e89bcd08ffe434d6fc409809b3f66a3d7728d99b

镜像 TAG

cuda_12

镜像大小

16.45GB

平台架构

linux/amd64

镜像源

docker.io

项目信息

Hub 主页所有 TAG

CMD

启动入口

/opt/nvidia/nvidia_entrypoint.sh

工作目录

/workspace

OS/平台

linux/amd64

镜像创建

2024-12-10T06:03:33.983430168Z

同步时间

2024-12-11 01:47

浏览量

799 次

贡献者

⚙️ 环境变量 39

Key	Value
`PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/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>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536	`2`
`NV_CUDA_CUDART_VERSION=12.4.99-1`	`3`
`NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4`	`4`
`CUDA_VERSION=12.4.0`	`5`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64`	`6`
`NVIDIA_VISIBLE_DEVICES=all`	`7`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`8`
`NV_CUDA_LIB_VERSION=12.4.0-1`	`9`
`NV_NVTX_VERSION=12.4.99-1`	`10`
`NV_LIBNPP_VERSION=12.2.5.2-1`	`11`
`NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1`	`12`
`NV_LIBCUSPARSE_VERSION=12.3.0.142-1`	`13`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4`	`14`
`NV_LIBCUBLAS_VERSION=12.4.2.65-1`	`15`
`NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1`	`16`
`NV_LIBNCCL_PACKAGE_NAME=libnccl2`	`17`
`NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1`	`18`
`NCCL_VERSION=2.20.5-1`	`19`
`NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4`	`20`
`NVIDIA_PRODUCT_NAME=CUDA`	`21`
`NV_CUDA_CUDART_DEV_VERSION=12.4.99-1`	`22`
`NV_NVML_DEV_VERSION=12.4.99-1`	`23`
`NV_LIBCUSPARSE_DEV_VERSION=12.3.0.142-1`	`24`
`NV_LIBNPP_DEV_VERSION=12.2.5.2-1`	`25`
`NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.2-1`	`26`
`NV_LIBCUBLAS_DEV_VERSION=12.4.2.65-1`	`27`
`NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4`	`28`
`NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.2.65-1`	`29`
`NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.0-1`	`30`
`NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.0-1`	`31`
`NV_NVPROF_VERSION=12.4.99-1`	`32`
`NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.99-1`	`33`
`NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev`	`34`
`NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.5-1`	`35`
`NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.20.5-1+cuda12.4`	`36`
`LIBRARY_PATH=/usr/local/cuda/lib64/stubs`	`37`
`PYTORCH_VERSION=2.4.0`	`38`

🏷️ 镜像标签 4

Key	Value
`nvidia_driver`	`com.nvidia.volumes.needed`
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`ubuntu`	`org.opencontainers.image.ref.name`
`22.04`	`org.opencontainers.image.version`

🛡️ 镜像安全扫描

ubuntu 22.04 Trivy 2024-12-11 01:52 查看完整报告

185

低危 LOW

1652

中危 MEDIUM

高危 HIGH

严重 CRITICAL

受影响目标 (5)

docker.io/hunyuanvideo/hunyuanvideo:cuda_12 (ubuntu 22.04) ubuntu Python python-pkg /etc/ssh/ssh_host_ecdsa_key /etc/ssh/ssh_host_ed25519_key /etc/ssh/ssh_host_rsa_key

Chatgpt|Claude一站式支持平台提供先进的AI镜像服务，助你在国内优雅的使用Chatgpt和Claude等AI服务

无权限下载？点我修复生成 Docker Run 命令生成 Kubernetes YAML

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12  docker.io/hunyuanvideo/hunyuanvideo:cuda_12

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12  docker.io/hunyuanvideo/hunyuanvideo:cuda_12

Shell快速替换命令

sed -i 's#hunyuanvideo/hunyuanvideo:cuda_12#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12#' 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/hunyuanvideo/hunyuanvideo:cuda_12 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12  docker.io/hunyuanvideo/hunyuanvideo:cuda_12'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hunyuanvideo/hunyuanvideo:cuda_12  docker.io/hunyuanvideo/hunyuanvideo:cuda_12'

镜像构建历史


# 2024-12-10 14:03:33  1.49GB 

                        
# 2024-07-25 02:51:17  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-07-25 02:51:17  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.4.0
                        
# 2024-07-25 02:51:17  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-07-25 02:51:17  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-07-25 02:51:17  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-07-25 02:51:17  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-07-25 02:51:17  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-07-25 02:51:17  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.4.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.0 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc;         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2024-07-25 02:51:16  7.74GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-07-25 02:43:55  3.32MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.4.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.0 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-07-25 02:43:55  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-07-25 02:43:55  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.0
                        
# 2024-07-25 02:43:55  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-07-25 02:43:55  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-07-25 02:43:55  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.4.0
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-04-05 07:47:46  389.79KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-04-05 07:47:46  4.94GB 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-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-4=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:47:46  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:47:46  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.20.5-1+cuda12.4
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.5-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.5-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.99-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.99-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.0-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.0-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.2.65-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.2.65-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.2-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.5.2-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.0.142-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.99-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.99-1
                        
# 2024-04-05 07:47:46  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.0-1
                        
# 2024-04-05 07:40:07  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-05 07:40:07  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-05 07:40:07  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-05 07:40:07  262.98KB 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
                        
# 2024-04-05 07:40:07  2.03GB 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-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:40:07  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:40:07  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.5-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.2.65-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.0.142-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.2-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.99-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.0-1
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-05 07:36:23  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-05 07:36:23  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
                        
# 2024-04-05 07:36:23  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
                        
# 2024-04-05 07:36:23  155.92MB 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-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.0
                        
# 2024-04-05 07:36:11  10.56MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:36:11  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:36:11  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.99-1
                        
# 2024-04-05 07:36:11  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-02-28 02:52:59  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-02-28 02:52:58  77.86MB 
/bin/sh -c #(nop) ADD file:21c2e8d95909bec6f4acdaf4aed55b44ee13603681f93b152e423e3e6a4a207b in / 
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "RepoTags": [
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        "Volumes": null,
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        "Labels": {
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}

更多版本

docker.io/hunyuanvideo/hunyuanvideo:cuda_11

linux/amd64 docker.io25.68GB2024-12-11 01:31

545

docker.io/hunyuanvideo/hunyuanvideo:cuda_12

linux/amd64 docker.io16.45GB2024-12-11 01:47

798

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