docker.io/diffusers/diffusers-pytorch-cuda:latest linux/amd64

docker.io/diffusers/diffusers-pytorch-cuda:latest - 国内下载镜像源 浏览次数:12

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

源镜像 docker.io/diffusers/diffusers-pytorch-cuda:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest
镜像ID sha256:147bf351b0a92e7a989ab4da256f46930e761f2a0061ec540bc0eb136ef0a967
镜像TAG latest
大小 10.84GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台 linux/amd64
浏览量 12 次
贡献者
镜像创建 2025-08-26T00:16:11.834571517Z
同步时间 2025-08-27 06:35
更新时间 2025-08-27 17:12
环境变量
PATH=/opt/venv/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>=12.1 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=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.0-1 NV_NVTX_VERSION=12.1.66-1 NV_LIBNPP_VERSION=12.0.2.50-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1 NV_LIBCUSPARSE_VERSION=12.0.2.55-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.0.26-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NVIDIA_CUDA_END_OF_LIFE=1 DEBIAN_FRONTEND=noninteractive
镜像标签
Hugging Face: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version diffusers: repository

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest  docker.io/diffusers/diffusers-pytorch-cuda:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest  docker.io/diffusers/diffusers-pytorch-cuda:latest

Shell快速替换命令

sed -i 's#diffusers/diffusers-pytorch-cuda:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest#' 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/diffusers/diffusers-pytorch-cuda:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest  docker.io/diffusers/diffusers-pytorch-cuda:latest'

Ansible快速分发-Containerd

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

镜像构建历史


# 2025-08-26 08:16:11  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2025-08-26 08:16:11  7.83GB 执行命令并创建新的镜像层
RUN /bin/sh -c python3.10 -m pip install --no-cache-dir --upgrade pip uv==0.1.11 &&     python3.10 -m uv pip install --no-cache-dir     torch     torchvision     torchaudio     invisible_watermark &&     python3.10 -m pip install --no-cache-dir     accelerate     datasets     hf-doc-builder     huggingface-hub     hf_transfer     Jinja2     librosa     numpy==1.26.4     scipy     tensorboard     transformers     pytorch-lightning      hf_transfer # buildkit
                        
# 2025-08-26 08:15:11  0.00B 设置环境变量 PATH
ENV PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-08-26 08:15:11  18.32MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3.10 -m venv /opt/venv # buildkit
                        
# 2025-08-26 08:15:09  579.92MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt install -y bash     build-essential     git     git-lfs     curl     ca-certificates     libsndfile1-dev     libgl1     python3.10     python3.10-dev     python3-pip     python3.10-venv &&     rm -rf /var/lib/apt/lists # buildkit
                        
# 2025-08-26 08:14:47  183.04MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get -y update     && apt-get install -y software-properties-common     && add-apt-repository ppa:deadsnakes/ppa # buildkit
                        
# 2025-08-26 08:14:47  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-08-26 08:14:47  0.00B 添加元数据标签
LABEL repository=diffusers
                        
# 2025-08-26 08:14:47  0.00B 添加元数据标签
LABEL maintainer=Hugging Face
                        
# 2023-11-10 13:48:25  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:48:25  0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
                        
# 2023-11-10 13:48:25  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:48:25  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:48:24  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 13:48:23  259.49KB 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 13:48:22  1.99GB 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-12-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-1=${NV_NVTX_VERSION}     libcusparse-12-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:48:22  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:48:22  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
                        
# 2023-11-10 13:48:22  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
                        
# 2023-11-10 13:42:53  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:42:53  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:42:53  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:42:52  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 13:42:52  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 13:42:52  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 13:42:52  149.60MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:42:36  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
                        
# 2023-11-10 13:42:36  18.32MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:42:36  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:42:36  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:42:36  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:42:36  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
                        
# 2023-11-10 13:42:36  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>=12.1 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 13:42:36  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:147bf351b0a92e7a989ab4da256f46930e761f2a0061ec540bc0eb136ef0a967",
    "RepoTags": [
        "diffusers/diffusers-pytorch-cuda:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda:latest"
    ],
    "RepoDigests": [
        "diffusers/diffusers-pytorch-cuda@sha256:f47a06a2a9ac36044e5218306b3d2e96b6a44b9d15f6b7d49c3e9c48075d6760",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/diffusers/diffusers-pytorch-cuda@sha256:e448afd156cfb4a9fa29e92cb197fb5425f9e319d15de9b34d8a6051014fe30a"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-08-26T00:16:11.834571517Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/venv/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=12.1 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=12.1.55-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.1.0-1",
            "NV_NVTX_VERSION=12.1.66-1",
            "NV_LIBNPP_VERSION=12.0.2.50-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1",
            "NV_LIBCUSPARSE_VERSION=12.0.2.55-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
            "NV_LIBCUBLAS_VERSION=12.1.0.26-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NVIDIA_CUDA_END_OF_LIFE=1",
            "DEBIAN_FRONTEND=noninteractive"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "Hugging Face",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04",
            "repository": "diffusers"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 10836933059,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/57eefe5625c21cb881e88d20c881090b9a879e3e3d8d4e45747211dd3faefcf0/diff:/var/lib/docker/overlay2/ecedc5b76dfbbdea8beb81e5245680e75069a0e250104908cbb392ae6de65197/diff:/var/lib/docker/overlay2/0a733d1d45d8755de616ddb40f19a08da0c9e60fb2c47c27e74ff122a746016f/diff:/var/lib/docker/overlay2/a718083819f63d0d85efc7e807458a77878f5141a04ff349def6403b0b5f581e/diff:/var/lib/docker/overlay2/9275953486d33607973f47389de241099e546f5ce57c6fb5b05e2826382b9704/diff:/var/lib/docker/overlay2/2a9282066cbd78406c0642ce617d86bd975c95ce0cc6fb32d4b6532c3e161c13/diff:/var/lib/docker/overlay2/358f853ffe40d3379592a2cd2bb9e689ea3a892805fc1091897b00f2ed475266/diff:/var/lib/docker/overlay2/dfca80b5c4e84d483974010c74aec657587c4b4d4f0581186efb5172fa0220d1/diff:/var/lib/docker/overlay2/8c453c00ab6c8f947bcf3e73bd93899c545da561e7dffaf019e075d08242939b/diff:/var/lib/docker/overlay2/4d3af7f58cbdd829083842504e0d64d2b1191ec2d2907aa88f5d3dfc4af6120c/diff:/var/lib/docker/overlay2/8d34414b7d900930a0c7decc4210d4e6e80dd488a22a062342fc05742c811636/diff:/var/lib/docker/overlay2/5408abd3ec726f4d055e10fddd8f488a8839c8a355fe1fb064cdc9fee660e07b/diff",
            "MergedDir": "/var/lib/docker/overlay2/59cd4938aa6b4f9f4c59b187ed65943b0e32fed6825f9db02d3858b9ce39cf4c/merged",
            "UpperDir": "/var/lib/docker/overlay2/59cd4938aa6b4f9f4c59b187ed65943b0e32fed6825f9db02d3858b9ce39cf4c/diff",
            "WorkDir": "/var/lib/docker/overlay2/59cd4938aa6b4f9f4c59b187ed65943b0e32fed6825f9db02d3858b9ce39cf4c/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:6c3e7df31590f02f10cb71fc4eb27653e9b428df2e6e5421a455b062bd2e39f9",
            "sha256:2651516ff8de098646c66d3a2869845f49f5910f9073a654f4cdd1bd69163c02",
            "sha256:35d40f4df845e4ec2e4d9606f2b00285daa57616c98a27ce0de1913d3f01a445",
            "sha256:1eeecbd4dbae984e15018caeab879b50811fbcf75b59345d4547cfa33151be98",
            "sha256:1ff8f721b9dbee7ce469524967a4138db73097d81672dad87e13860c5f9f1b6c",
            "sha256:284c466ee6ce1d9bebab458652a2497af45f16d0698b78ea7642866db3d7f0dc",
            "sha256:889402d51413406f710353986af2408a1c7a6fc0fc4de4aa6f8c14aa08acac19",
            "sha256:40fc5e6cc1980b08159fc765a575d18f95acb6a3bfac90c9c0557adf7caabaca",
            "sha256:50bceba2b2b7227430d5025f7c05f272e385af27b8d98409b6301a0a10e338f1",
            "sha256:f8a1d13992de772b3245b621c5b8f294821a959f09d61fa7ad32e20f940b28d8",
            "sha256:2f80572e252332ed5a83336411c759fbe735dbeb4ff93107d02db4ea89028e6e",
            "sha256:526baafb15c82dfcdfdd537c4641d0aa7cda7a890aa1b381eda540f7befa80b9",
            "sha256:acd8ff09221c0e06531fa7512726929a452ac7e953e7e43a0f6b282f0f2e8781"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-08-27T06:24:54.36182021+08:00"
    }
}

更多版本

docker.io/diffusers/diffusers-pytorch-cuda:latest

linux/amd64 docker.io10.84GB2025-08-27 06:35
11