docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30 linux/amd64

docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30 - 国内下载镜像源 浏览次数:129

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-12.5.0-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-12.5.0-v1.10.0-2024-10-30
镜像ID sha256:07c029a084fe3d3093484d698648ab85c1079c1694d428fc4d68859fc9506049
镜像TAG cuda-12.5.0-v1.10.0-2024-10-30
大小 17.82GB
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 129 次
贡献者
镜像创建 2024-10-30T17:45:03.011031635Z
同步时间 2024-11-06 00:28
更新时间 2025-02-21 23:28
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>=12.5 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 NV_CUDA_CUDART_VERSION=12.5.39-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-5 CUDA_VERSION=12.5.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.5.0-1 NV_NVTX_VERSION=12.5.39-1 NV_LIBNPP_VERSION=12.3.0.116-1 NV_LIBNPP_PACKAGE=libnpp-12-5=12.3.0.116-1 NV_LIBCUSPARSE_VERSION=12.4.1.24-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-5 NV_LIBCUBLAS_VERSION=12.5.2.13-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-5=12.5.2.13-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 NCCL_VERSION=2.21.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.5 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.5.39-1 NV_NVML_DEV_VERSION=12.5.39-1 NV_LIBCUSPARSE_DEV_VERSION=12.4.1.24-1 NV_LIBNPP_DEV_VERSION=12.3.0.116-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-5=12.3.0.116-1 NV_LIBCUBLAS_DEV_VERSION=12.5.2.13-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-5 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-5=12.5.2.13-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.5.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-5=12.5.0-1 NV_NVPROF_VERSION=12.5.39-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-5=12.5.39-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.5 LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像标签
Martin Chan @osiutino: maintainer 2024-10-30T17:41:15Z: 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: 2024-11-06 00:36

低危漏洞:179 中危漏洞:1294 高危漏洞:47 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-12.5.0-v1.10.0-2024-10-30
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-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-12.5.0-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-12.5.0-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30

Shell快速替换命令

sed -i 's#siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-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-12.5.0-v1.10.0-2024-10-30 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-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-12.5.0-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-12.5.0-v1.10.0-2024-10-30  docker.io/siutin/stable-diffusion-webui-docker:cuda-12.5.0-v1.10.0-2024-10-30'

镜像构建历史


# 2024-10-31 01:45:03  9.20GB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z 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 01:42:51  0.00B 设置工作目录为/app/stable-diffusion-webui
WORKDIR /app/stable-diffusion-webui
                        
# 2024-10-31 01:42:51  362.86MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z BUILD_VERSION=2024-10-30 /bin/sh -c conda install python="3.11" -y # buildkit
                        
# 2024-10-31 01:42:38  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 01:42:38  5.79MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z 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 01:42:38  644.35MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z 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 01:42:28  148.34MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z BUILD_VERSION=2024-10-30 /bin/sh -c wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-$(uname -m).sh # buildkit
                        
# 2024-10-31 01:42:27  0.00B 设置工作目录为/app/
WORKDIR /app/
                        
# 2024-10-31 01:42:27  0.00B 指定运行容器时使用的用户
USER app
                        
# 2024-10-31 01:42:27  1.70KB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z BUILD_VERSION=2024-10-30 /bin/sh -c echo 'app ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers # buildkit
                        
# 2024-10-31 01:42:27  1.69KB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z BUILD_VERSION=2024-10-30 /bin/sh -c usermod -aG sudo app # buildkit
                        
# 2024-10-31 01:42:27  0.00B 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z BUILD_VERSION=2024-10-30 /bin/sh -c chown app:app -R /app # buildkit
                        
# 2024-10-31 01:42:27  0.00B 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z BUILD_VERSION=2024-10-30 /bin/sh -c mkdir /app # buildkit
                        
# 2024-10-31 01:42:27  3.24MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z 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 01:42:27  301.19MB 执行命令并创建新的镜像层
RUN |3 BRANCH_OR_TAG=v1.10.0 BUILD_DATE=2024-10-30T17:41:15Z 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 01:42:27  0.00B 添加元数据标签
LABEL org.label-schema.version=v1.10.0_2024-10-30
                        
# 2024-10-31 01:42:27  0.00B 添加元数据标签
LABEL org.label-schema.build-date=2024-10-30T17:41:15Z
                        
# 2024-10-31 01:42:27  0.00B 定义构建参数
ARG BUILD_VERSION=2024-10-30
                        
# 2024-10-31 01:42:27  0.00B 定义构建参数
ARG BUILD_DATE=2024-10-30T17:41:15Z
                        
# 2024-10-31 01:42:27  0.00B 定义构建参数
ARG BRANCH_OR_TAG=v1.10.0
                        
# 2024-10-31 01:42:27  0.00B 添加元数据标签
LABEL maintainer=Martin Chan @osiutino
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-05-31 07:32:27  389.80KB 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
                        
# 2024-05-31 07:32:27  4.87GB 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-12-5=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-5=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-5=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-5=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-5=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-5=${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
                        
# 2024-05-31 07:32:27  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-05-31 07:32:27  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.5
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-5=12.5.39-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.5.39-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-5=12.5.0-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.5.0-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-5=12.5.2.13-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-5
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.5.2.13-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-5=12.3.0.116-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.0.116-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.4.1.24-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.5.39-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.5.39-1
                        
# 2024-05-31 07:32:27  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.5.0-1
                        
# 2024-05-31 07:25:12  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-05-31 07:25:12  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-05-31 07:25:12  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-05-31 07:25:12  263.00KB 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
                        
# 2024-05-31 07:25:12  2.04GB 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-12-5=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-5=${NV_NVTX_VERSION}     libcusparse-12-5=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-05-31 07:25:12  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-05-31 07:25:12  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.5
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-5=12.5.2.13-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.5.2.13-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-5
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.4.1.24-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-5=12.3.0.116-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.0.116-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.5.39-1
                        
# 2024-05-31 07:25:12  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.5.0-1
                        
# 2024-05-31 07:17:58  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-05-31 07:17:58  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-05-31 07:17:58  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-05-31 07:17:58  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-05-31 07:17:58  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
                        
# 2024-05-31 07:17:58  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
                        
# 2024-05-31 07:17:58  151.63MB 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-12-5=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-05-31 07:17:46  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.5.0
                        
# 2024-05-31 07:17:46  10.57MB 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
                        
# 2024-05-31 07:17:46  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-05-31 07:17:46  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-05-31 07:17:46  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-5
                        
# 2024-05-31 07:17:46  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.5.39-1
                        
# 2024-05-31 07:17:46  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.5 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
                        
# 2024-05-31 07:17:46  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-04-27 21:18:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-27 21:18:37  77.86MB 
/bin/sh -c #(nop) ADD file:a5d32dc2ab15ff0d7dbd72af26e361eb1f3e87a0d29ec3a1ceab24ad7b3e6ba9 in / 
                        
# 2024-04-27 21:18:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-27 21:18:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-27 21:18:35  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-27 21:18:35  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
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    "RepoDigests": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/siutin/stable-diffusion-webui-docker@sha256:3adca4f98d81403b3f2dbf120dad854b28812a3913cc9ed68253864461a612e7"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-10-30T17:45:03.011031635Z",
    "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=12.5 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551",
            "NV_CUDA_CUDART_VERSION=12.5.39-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-5",
            "CUDA_VERSION=12.5.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.5.0-1",
            "NV_NVTX_VERSION=12.5.39-1",
            "NV_LIBNPP_VERSION=12.3.0.116-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-5=12.3.0.116-1",
            "NV_LIBCUSPARSE_VERSION=12.4.1.24-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-5",
            "NV_LIBCUBLAS_VERSION=12.5.2.13-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-5=12.5.2.13-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1",
            "NCCL_VERSION=2.21.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.5",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.5.39-1",
            "NV_NVML_DEV_VERSION=12.5.39-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.4.1.24-1",
            "NV_LIBNPP_DEV_VERSION=12.3.0.116-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-5=12.3.0.116-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.5.2.13-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-5",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-5=12.5.2.13-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.5.0-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-5=12.5.0-1",
            "NV_NVPROF_VERSION=12.5.39-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-5=12.5.39-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.5",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/stable-diffusion-webui",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
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        "Labels": {
            "maintainer": "Martin Chan @osiutino",
            "org.label-schema.build-date": "2024-10-30T17:41:15Z",
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        "LastTagTime": "2024-11-06T00:12:48.168694203+08:00"
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}

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