docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30 linux/amd64

docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30 - 国内下载镜像源 浏览次数:21

stable-diffusion-webui-docker 镜像描述

这是一个基于 Docker 的 Stable Diffusion WebUI 镜像,它允许用户在 Docker 容器中运行 Stable Diffusion WebUI。该镜像包含了所有必要的依赖项,以便用户能够轻松地使用 Stable Diffusion WebUI 生成图像。

镜像功能

* 提供了一个易于使用的 Docker 镜像,用于运行 Stable Diffusion WebUI。 * 预装了所有必要的依赖项,包括 Python、CUDA 驱动程序和 Stable Diffusion 模型。 * 支持使用 GPU 加速图像生成。 * 包含了 WebUI,允许用户通过网页界面控制 Stable Diffusion。

使用场景

* 使用 Stable Diffusion 生成图像。 * 探索 Stable Diffusion 的功能和选项。 * 在没有 GPU 的设备上运行 Stable Diffusion。 * 在云端运行 Stable Diffusion。

镜像特点

* 基于 Ubuntu 操作系统构建。 * 使用最新的 Stable Diffusion 模型。 * 支持多种语言。 * 提供了易于使用的文档和教程。

下载和使用

您可以使用以下命令下载和使用该镜像: ``` docker pull docker.io/siutin/stable-diffusion-webui-docker docker run -p 7860:7860 -v /path/to/your/data:/data docker.io/siutin/stable-diffusion-webui-docker ``` 请参考镜像的官方文档了解更多信息。
源镜像 docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30
镜像ID sha256:d863ff8612d783d7eed07985639392b9ae297fb46f28efd99477c11dba629863
镜像TAG cuda-12.2.2-v1.10.0-2024-10-30
大小 17.62GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app/stable-diffusion-webui
OS/平台 linux/amd64
浏览量 21 次
贡献者
镜像创建 2024-10-30T17:33:40.476764373Z
同步时间 2024-11-13 00:31
更新时间 2024-11-21 16:29
环境变量
PATH=/app/miniconda3/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.2 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 NV_CUDA_CUDART_VERSION=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.2.140-1 NV_NVML_DEV_VERSION=12.2.140-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1 NV_LIBNPP_DEV_VERSION=12.2.1.4-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1 NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1 NV_NVPROF_VERSION=12.2.142-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2 LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像标签
Martin Chan @osiutino: maintainer 2024-10-30T17:29:43Z: org.label-schema.build-date v1.10.0_2024-10-30: org.label-schema.version ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-11-13 00:38

低危漏洞:239 中危漏洞:1934 高危漏洞:62 严重漏洞:3

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30

Shell快速替换命令

sed -i 's#siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30#' 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/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.2.2-v1.10.0-2024-10-30'

镜像历史

大小 创建时间 层信息
9.20GB 2024-10-31 01:33:40 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c touch install.log && timeout 2h bash -c "export python_cmd='python3.11' && export TORCH_COMMAND=\"pip install torch==2.1.2 torchvision==0.16.2\" && ./webui.sh --skip-torch-cuda-test --no-download-sd-model 2>&1 | tee install.log &" && sleep 5 && while true; do grep -q "No checkpoints found." install.log && exit 0; grep -q "ERROR" install.log && exit 1; sleep 3; done # buildkit
0.00B 2024-10-31 01:31:24 WORKDIR /app/stable-diffusion-webui
362.86MB 2024-10-31 01:31:24 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c conda install python="3.11" -y # buildkit
0.00B 2024-10-31 01:31:12 ENV PATH=/app/miniconda3/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
5.79MB 2024-10-31 01:31:12 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c git clone --depth 1 --branch $BRANCH_OR_TAG https://github.com/AUTOMATIC1111/stable-diffusion-webui.git /app/stable-diffusion-webui # buildkit
644.35MB 2024-10-31 01:31:10 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c bash ./Miniconda3-latest-Linux-$(uname -m).sh -b && rm -rf ./Miniconda3-latest-Linux-$(uname -m).sh # buildkit
148.34MB 2024-10-31 01:31:01 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-$(uname -m).sh # buildkit
0.00B 2024-10-31 01:30:59 WORKDIR /app/
0.00B 2024-10-31 01:30:59 USER app
1.70KB 2024-10-31 01:30:59 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c echo 'app ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers # buildkit
1.69KB 2024-10-31 01:30:59 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c usermod -aG sudo app # buildkit
0.00B 2024-10-31 01:30:59 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c chown app:app -R /app # buildkit
0.00B 2024-10-31 01:30:59 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c mkdir /app # buildkit
3.24MB 2024-10-31 01:30:59 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c useradd --home /app -M app -K UID_MIN=10000 -K GID_MIN=10000 -s /bin/bash # buildkit
303.16MB 2024-10-31 01:30:59 RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c apt update && apt install -y --no-install-recommends bash bc ca-certificates wget git gcc sudo libgl1 libglib2.0-dev python3-dev google-perftools && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-10-31 01:30:59 LABEL org.label-schema.version=v1.10.0_2024-10-30
0.00B 2024-10-31 01:30:59 LABEL org.label-schema.build-date=2024-10-30T17:29:43Z
0.00B 2024-10-31 01:30:59 ARG BUILD_VERSION=2024-10-30
0.00B 2024-10-31 01:30:59 ARG BUILD_DATE=2024-10-30T17:29:43Z
0.00B 2024-10-31 01:30:59 ARG BRANCH_OR_TAG=v1.10.0
0.00B 2024-10-31 01:30:59 LABEL maintainer=Martin Chan @osiutino
0.00B 2023-11-10 13:10:59 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
387.39KB 2023-11-10 13:10:59 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.77GB 2023-11-10 13:10:57 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-2=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-2=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-2=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-2=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-2=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-2=${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
0.00B 2023-11-10 13:10:57 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:10:57 ARG TARGETARCH
0.00B 2023-11-10 13:10:57 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2
0.00B 2023-11-10 13:10:57 ENV NCCL_VERSION=2.19.3-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-11-10 13:10:57 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1
0.00B 2023-11-10 13:10:57 ENV NV_NVPROF_VERSION=12.2.142-1
0.00B 2023-11-10 13:10:57 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1
0.00B 2023-11-10 13:10:57 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
0.00B 2023-11-10 13:10:57 ENV NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBNPP_DEV_VERSION=12.2.1.4-1
0.00B 2023-11-10 13:10:57 ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1
0.00B 2023-11-10 13:10:57 ENV NV_NVML_DEV_VERSION=12.2.140-1
0.00B 2023-11-10 13:10:57 ENV NV_CUDA_CUDART_DEV_VERSION=12.2.140-1
0.00B 2023-11-10 13:10:57 ENV NV_CUDA_LIB_VERSION=12.2.2-1
0.00B 2023-11-10 12:59:11 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 12:59:11 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 12:59:11 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 12:59:11 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
261.40KB 2023-11-10 12:59:11 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
1.95GB 2023-11-10 12:59:10 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-2=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-2=${NV_NVTX_VERSION} libcusparse-12-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 12:59:10 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 12:59:10 ARG TARGETARCH
0.00B 2023-11-10 12:59:10 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
0.00B 2023-11-10 12:59:10 ENV NCCL_VERSION=2.19.3-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNPP_VERSION=12.2.1.4-1
0.00B 2023-11-10 12:59:10 ENV NV_NVTX_VERSION=12.2.140-1
0.00B 2023-11-10 12:59:10 ENV NV_CUDA_LIB_VERSION=12.2.2-1
0.00B 2023-11-10 12:57:28 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 12:57:28 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 12:57:28 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 12:57:28 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 12:57:28 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 12:57:28 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.49MB 2023-11-10 12:57:28 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-2=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 12:56:27 ENV CUDA_VERSION=12.2.2
10.56MB 2023-11-10 12:56:27 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 12:56:27 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 12:56:27 ARG TARGETARCH
0.00B 2023-11-10 12:56:27 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
0.00B 2023-11-10 12:56:27 ENV NV_CUDA_CUDART_VERSION=12.2.140-1
0.00B 2023-11-10 12:56:27 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 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
0.00B 2023-11-10 12:56:27 ENV NVARCH=x86_64
0.00B 2023-10-05 15:33:32 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.82MB 2023-10-05 15:33:32 /bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG RELEASE

镜像信息

{
    "Id": "sha256:d863ff8612d783d7eed07985639392b9ae297fb46f28efd99477c11dba629863",
    "RepoTags": [
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