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>=12.4 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
NV_CUDA_CUDART_VERSION=12.4.99-1
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
CUDA_VERSION=12.4.0
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=12.4.0-1
NV_NVTX_VERSION=12.4.99-1
NV_LIBNPP_VERSION=12.2.5.2-1
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1
NV_LIBCUSPARSE_VERSION=12.3.0.142-1
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
NV_LIBCUBLAS_VERSION=12.4.2.65-1
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1
NV_LIBNCCL_PACKAGE_NAME=libnccl2
NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1
NCCL_VERSION=2.20.5-1
NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4
NVIDIA_PRODUCT_NAME=CUDA
NV_CUDA_CUDART_DEV_VERSION=12.4.99-1
NV_NVML_DEV_VERSION=12.4.99-1
NV_LIBCUSPARSE_DEV_VERSION=12.3.0.142-1
NV_LIBNPP_DEV_VERSION=12.2.5.2-1
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.2-1
NV_LIBCUBLAS_DEV_VERSION=12.4.2.65-1
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.2.65-1
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.0-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.0-1
NV_NVPROF_VERSION=12.4.99-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.99-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.5-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.20.5-1+cuda12.4
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像构建历史
# 2024-10-31 01:35:15 9.20GB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z 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
# 2024-10-31 01:33:03 0.00B 设置工作目录为/app/stable-diffusion-webui
WORKDIR /app/stable-diffusion-webui
# 2024-10-31 01:33:03 362.86MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c conda install python="3.11" -y # buildkit
# 2024-10-31 01:32:49 0.00B 设置环境变量 PATH
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
# 2024-10-31 01:32:49 5.79MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c git clone --depth 1 --branch $BRANCH_OR_TAG https://github.com/AUTOMATIC1111/stable-diffusion-webui.git /app/stable-diffusion-webui # buildkit
# 2024-10-31 01:32:48 644.35MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c bash ./Miniconda3-latest-Linux-$(uname -m).sh -b && rm -rf ./Miniconda3-latest-Linux-$(uname -m).sh # buildkit
# 2024-10-31 01:32:39 148.34MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-$(uname -m).sh # buildkit
# 2024-10-31 01:32:37 0.00B 设置工作目录为/app/
WORKDIR /app/
# 2024-10-31 01:32:37 0.00B 指定运行容器时使用的用户
USER app
# 2024-10-31 01:32:37 1.70KB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c echo 'app ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers # buildkit
# 2024-10-31 01:32:37 1.69KB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c usermod -aG sudo app # buildkit
# 2024-10-31 01:32:37 0.00B 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c chown app:app -R /app # buildkit
# 2024-10-31 01:32:37 0.00B 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z BUILD_VERSION=2024-10-30 /bin/sh -c mkdir /app # buildkit
# 2024-10-31 01:32:37 3.24MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z 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
# 2024-10-31 01:32:37 303.16MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:31:04Z 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
# 2024-10-31 01:32:37 0.00B 添加元数据标签
LABEL org.label-schema.version=v1.10.0_2024-10-30
# 2024-10-31 01:32:37 0.00B 添加元数据标签
LABEL org.label-schema.build-date=2024-10-30T17:31:04Z
# 2024-10-31 01:32:37 0.00B 定义构建参数
ARG BUILD_VERSION=2024-10-30
# 2024-10-31 01:32:37 0.00B 定义构建参数
ARG BUILD_DATE=2024-10-30T17:31:04Z
# 2024-10-31 01:32:37 0.00B 定义构建参数
ARG BRANCH_OR_TAG=v1.10.0
# 2024-10-31 01:32:37 0.00B 添加元数据标签
LABEL maintainer=Martin Chan @osiutino
# 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
{
"Id": "sha256:6618f40b0b328f295155cdda4aa090ecb5f8f1f42d9275967227fa8c0a384389",
"RepoTags": [
"siutin/stable-diffusion-webui-docker:cuda-12.4.0-v1.10.0-2024-10-30",
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],
"RepoDigests": [
"siutin/stable-diffusion-webui-docker@sha256:2a32af5d296dca130daf8e5129b205f6b080d0b6516253c8f8b133e59f909b9f",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker@sha256:e00b0d14e717031e30a9c7de655ebfa00b1e6b1b716c8ce0e20ba1e56d6dbf58"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-10-30T17:35:15.698326821Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
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