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
镜像构建历史
# 2024-10-31 01:33:40 9.20GB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z 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
# 2024-10-31 01:31:24 0.00B 设置工作目录为/app/stable-diffusion-webui
WORKDIR /app/stable-diffusion-webui
# 2024-10-31 01:31:24 362.86MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c conda install python="3.11" -y # buildkit
# 2024-10-31 01:31:12 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 01:31:12 5.79MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c git clone --depth 1 --branch $BRANCH_OR_TAG https://github.com/AUTOMATIC1111/stable-diffusion-webui.git /app/stable-diffusion-webui # buildkit
# 2024-10-31 01:31:10 644.35MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c bash ./Miniconda3-latest-Linux-$(uname -m).sh -b && rm -rf ./Miniconda3-latest-Linux-$(uname -m).sh # buildkit
# 2024-10-31 01:31:01 148.34MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-$(uname -m).sh # buildkit
# 2024-10-31 01:30:59 0.00B 设置工作目录为/app/
WORKDIR /app/
# 2024-10-31 01:30:59 0.00B 指定运行容器时使用的用户
USER app
# 2024-10-31 01:30:59 1.70KB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c echo 'app ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers # buildkit
# 2024-10-31 01:30:59 1.69KB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c usermod -aG sudo app # buildkit
# 2024-10-31 01:30:59 0.00B 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c chown app:app -R /app # buildkit
# 2024-10-31 01:30:59 0.00B 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z BUILD_VERSION=2024-10-30 /bin/sh -c mkdir /app # buildkit
# 2024-10-31 01:30:59 3.24MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z 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
# 2024-10-31 01:30:59 303.16MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:29:43Z 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
# 2024-10-31 01:30:59 0.00B 添加元数据标签
LABEL org.label-schema.version=v1.10.0_2024-10-30
# 2024-10-31 01:30:59 0.00B 添加元数据标签
LABEL org.label-schema.build-date=2024-10-30T17:29:43Z
# 2024-10-31 01:30:59 0.00B 定义构建参数
ARG BUILD_VERSION=2024-10-30
# 2024-10-31 01:30:59 0.00B 定义构建参数
ARG BUILD_DATE=2024-10-30T17:29:43Z
# 2024-10-31 01:30:59 0.00B 定义构建参数
ARG BRANCH_OR_TAG=v1.10.0
# 2024-10-31 01:30:59 0.00B 添加元数据标签
LABEL maintainer=Martin Chan @osiutino
# 2023-11-10 13:10:59 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 13:10:59 387.39KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 13:10:57 4.77GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-2=${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
# 2023-11-10 13:10:57 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:10:57 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2
# 2023-11-10 13:10:57 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.2.142-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.1.4-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.2.140-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.2.140-1
# 2023-11-10 13:10:57 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
# 2023-11-10 12:59:11 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 12:59:11 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 12:59:11 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 12:59:11 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 12:59:11 261.40KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 12:59:10 1.95GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-2=${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
# 2023-11-10 12:59:10 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 12:59:10 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
# 2023-11-10 12:59:10 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
# 2023-11-10 12:57:28 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 12:57:28 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 12:57:28 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 12:57:28 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 12:57:28 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
# 2023-11-10 12:57:28 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
# 2023-11-10 12:57:28 150.49MB 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-12-2=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 12:56:27 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
# 2023-11-10 12:56:27 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 12:56:27 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 12:56:27 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 12:56:27 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
# 2023-11-10 12:56:27 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
# 2023-11-10 12:56:27 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
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
# 2023-11-10 12:56:27 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:d863ff8612d783d7eed07985639392b9ae297fb46f28efd99477c11dba629863",
"RepoTags": [
"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"
],
"RepoDigests": [
"siutin/stable-diffusion-webui-docker@sha256:668b6c4259775e84ddcebd911985b68b558c7c3527f4a5a4ff6e31388d270b68",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker@sha256:4e62191f1ade226695e15bf2f2abb73ee559a2fbf2fafd942d2c3174820a3b01"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-10-30T17:33:40.476764373Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "app",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"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",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.2 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
"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"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/app/stable-diffusion-webui",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"maintainer": "Martin Chan @osiutino",
"org.label-schema.build-date": "2024-10-30T17:29:43Z",
"org.label-schema.version": "v1.10.0_2024-10-30",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 17624727385,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/c5c5026a1544535775d3d83ff77fe7a4e7d9e2d9b5f9af6654b0179e4c66d8c7/diff:/var/lib/docker/overlay2/ba09a34e0c34c9544647dfb1aac204485b37013ef19ed0056c679e29eb82f1b0/diff:/var/lib/docker/overlay2/ed0d04c272ba203582e2554c0bfd7dbdf3a71cb91aec86b2438eb991cdff07d4/diff:/var/lib/docker/overlay2/cc36cba79097a22f7378a90f4a5acf545467fdbc9eeecee2043d1b8488d11b15/diff:/var/lib/docker/overlay2/173e17613384f77ab26a306a778cb9bdfa6c0020559f158cf6210a0e7daf3d94/diff:/var/lib/docker/overlay2/27ef5a550d135b2de0959a61f4affd31b610efc23e6214db0f88432a0540711f/diff:/var/lib/docker/overlay2/9a5bfe67a8f07e7c67edc1d43810db3aecaab64425db19c7ebf93a6d7a47ff67/diff:/var/lib/docker/overlay2/3a481a5ce3d81f93a95a7612c527ab1c71d852bc20ff80851e87faf80e5f7454/diff:/var/lib/docker/overlay2/9db8b47b92a57404a932b8223cf804db37bbd44391945b1901c92e5ff0e4ff8f/diff:/var/lib/docker/overlay2/e95dd764e05dac8d298a656d2482929085454a5d84dc7ce2244eb111f2a047e8/diff:/var/lib/docker/overlay2/e2577d313b3a738c6667fd5830d063aeabe8ccca75b7277c1279ea03369204b9/diff:/var/lib/docker/overlay2/b72e59f69824d01eb8f4b3ff70ffe124d77a5f843aaa3982da7d6cdf8c898412/diff:/var/lib/docker/overlay2/3b2219bd8eb59975e65c94a2c65a3c62b94d5c4fa4aac2e76d53ece3c00ad347/diff:/var/lib/docker/overlay2/70343a5c792884a194ae6b96d9baf774f97343f2b2607be4ed4f4b18e2813afa/diff:/var/lib/docker/overlay2/d5fce25003016e608229f6c56415a98632684b6d491550b6507fe00825d04410/diff:/var/lib/docker/overlay2/c89f186f3e9aecd3daf5819e014d87c4da4804970680abe727089bd16b62d7f0/diff:/var/lib/docker/overlay2/215e546a86fc97b7b4750f15d6c3b3714ba8921f73fcab18cf75c7bd10dfeeee/diff:/var/lib/docker/overlay2/f8ab3f274dd147c212a1697fede6755e462d5fc9df90614faab1153b1602743d/diff:/var/lib/docker/overlay2/fe422d15e66d9629d745627cd7eb550f86096a53514c24f81a57c19f7948be83/diff:/var/lib/docker/overlay2/9b3a56a76184744dedb439ae9edba13eb521489508879d17e9e6734e941baf04/diff:/var/lib/docker/overlay2/e1a7619cfc95b25bc4d57eb0b67f9436040635773117cd08218e839b67c54c08/diff:/var/lib/docker/overlay2/0b1f2f51ae29aa32da6e10aa25330e5b7a937bc93f37941f9aa5940159806fbf/diff:/var/lib/docker/overlay2/f2905627b4505cda033dd62b5a5dc1676edda5a6e1bda7cd6e6e2048fcf5aee0/diff",
"MergedDir": "/var/lib/docker/overlay2/bd78586a1290f93964550e2909acb9a4e026528b33400967569a313d58eb7858/merged",
"UpperDir": "/var/lib/docker/overlay2/bd78586a1290f93964550e2909acb9a4e026528b33400967569a313d58eb7858/diff",
"WorkDir": "/var/lib/docker/overlay2/bd78586a1290f93964550e2909acb9a4e026528b33400967569a313d58eb7858/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
"sha256:c735aeb4de509baf67a6c318ae0ef434e36ed80edca7dce29a653e67499fd63a",
"sha256:77b174470c9445f8ac446787f14d1c676d294d6323c6fb1b0c21ba328325aeb6",
"sha256:adf2c0a553e917db1a0cfdcda1a7d85bfba431fc150c626b45e471c0bc3a5041",
"sha256:d3e5eae7a62576ed2689992c2a5e51ca8e8bb8636375268a9821a50c11fa4fcc",
"sha256:bd4791c0dfbebfd8bfab1921cbf1edf2d00800dd7d0e82e48008fb31efcf2ade",
"sha256:4deb6be006993233d5c03853bb374ad78dcacc6b22dbb66a487e375c7ca9144c",
"sha256:97da79745aa177b0efed59ee23f31bfcc07e67c1e4d14205ae244f00180da7da",
"sha256:598c4c0e7d71b8bfb29b91c39f8c33bbe2f244de9eeecbc3cbd41a44d0799b70",
"sha256:216b978392cfb002d003916d01da6bc104d4382bff715ce08d23b02e7ca24c46",
"sha256:679cc72df930dda05a3c39f3377ffe55dbdbac76db48bace256db3b53d380067",
"sha256:2b72cbe526f3492b55bef5e2de073ab318eac5d0aee87b4742b27af584e50274",
"sha256:6616bd4100eae6adb2159f8501872e199469e961c749ce6f1c8ae564a145bf9f",
"sha256:300206a4a16f33634fe99ff46607dfcf57f9ade4cb88204c3c573048e526fa97",
"sha256:1512a976bf6bc20441846c749576a6ba36c4451e89f752dff7cf86f3cbfb390d",
"sha256:677997065aad938aac6ba3bb855e441c759a4cb1075ca15b88e44c9595434d2b",
"sha256:735b61bad0700da968e48e60775707f438c4bc7f248ae5ff8eab9c8a3e9268db",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:03f7fe30d84bb9d2bbe88e20813ae30c4df153ac26f9c7df5b3030b2495c2215",
"sha256:b7003c4066d4fba306b208fde939e89bec4fb74c95c0c18979a0d70a0bc1b471",
"sha256:5dd865394969f6deb4dfdbb6525cf4dc0fbb054ebf5bb90e68dfe340c75ff90a",
"sha256:bf436163d70c99d8bf2cf5d132bdbfc823666540f157eb85d24d8e35a8e5cddd",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:0ee0e8979bfda25b013f9c7a08d003a71fe76031edbe9a9bc9c27ca106033817"
]
},
"Metadata": {
"LastTagTime": "2024-11-13T00:15:39.189496801+08:00"
}
}