docker.io/gemneye/seedvr-runpod:latest linux/amd64

docker.io/gemneye/seedvr-runpod:latest - 国内下载镜像源 浏览次数:13

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/gemneye/seedvr-runpod:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest
镜像ID sha256:305203ea2467cb947ee2963f239c082e009f97b767bef9084a36c634828b6457
镜像TAG latest
大小 8.22GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 ./run.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 13 次
贡献者
镜像创建 2025-08-19T06:51:00.732955894Z
同步时间 2025-09-02 02:09
更新时间 2025-09-02 15:09
环境变量
PATH=/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>=12.6 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=12.6.77-1 CUDA_VERSION=12.6.3 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.6.3-1 NV_NVTX_VERSION=12.6.77-1 NV_LIBNPP_VERSION=12.3.1.54-1 NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1 NV_LIBCUSPARSE_VERSION=12.5.4.2-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6 NV_LIBCUBLAS_VERSION=12.6.4.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1 NCCL_VERSION=2.23.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.6.77-1 NV_NVML_DEV_VERSION=12.6.77-1 NV_LIBCUSPARSE_DEV_VERSION=12.5.4.2-1 NV_LIBNPP_DEV_VERSION=12.3.1.54-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1 NV_LIBCUBLAS_DEV_VERSION=12.6.4.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.4.1-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.3-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.3-1 NV_NVPROF_VERSION=12.6.80-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.80-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.23.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.23.4-1+cuda12.6 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=9.5.1.17-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1 NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.5.1.17-1
镜像标签
9.5.1.17-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-08-19T06:49:10.300Z: org.opencontainers.image.created 🎬 SeedVR RunPod Container - Lightweight Docker container for SeedVR video restoration: org.opencontainers.image.description NOASSERTION: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 2dcde4cabda347ac3cd401cd7dae07f55d5705c4: org.opencontainers.image.revision https://github.com/sruckh/SeedVR-RunPod: org.opencontainers.image.source SeedVR-RunPod: org.opencontainers.image.title https://github.com/sruckh/SeedVR-RunPod: org.opencontainers.image.url main: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest  docker.io/gemneye/seedvr-runpod:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest  docker.io/gemneye/seedvr-runpod:latest

Shell快速替换命令

sed -i 's#gemneye/seedvr-runpod:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod: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/gemneye/seedvr-runpod:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest  docker.io/gemneye/seedvr-runpod: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/gemneye/seedvr-runpod:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gemneye/seedvr-runpod:latest  docker.io/gemneye/seedvr-runpod:latest'

镜像构建历史


# 2025-08-19 14:51:00  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["./run.sh"]
                        
# 2025-08-19 14:51:00  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x run.sh # buildkit
                        
# 2025-08-19 14:51:00  12.90KB 复制新文件或目录到容器中
COPY inference_seedvr2_7b_modified.py . # buildkit
                        
# 2025-08-19 09:06:44  12.90KB 复制新文件或目录到容器中
COPY inference_seedvr2_3b_modified.py . # buildkit
                        
# 2025-08-18 11:27:19  4.19KB 复制新文件或目录到容器中
COPY color_fix.py . # buildkit
                        
# 2025-08-18 11:27:19  237.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-08-18 11:27:19  3.81KB 复制新文件或目录到容器中
COPY app.py . # buildkit
                        
# 2025-08-18 11:27:19  797.00B 复制新文件或目录到容器中
COPY download.py . # buildkit
                        
# 2025-08-18 11:27:19  1.83KB 复制新文件或目录到容器中
COPY run.sh . # buildkit
                        
# 2025-08-18 02:09:34  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2024-11-23 02:59:04  868.27MB 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     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:59:04  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.5.1.17-1
                        
# 2024-11-23 02:59:04  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:59:04  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:59:04  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.5.1.17-1
                        
# 2024-11-23 02:59:04  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1
                        
# 2024-11-23 02:59:04  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-11-23 02:59:04  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.5.1.17-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-11-23 02:39:23  389.53KB 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
                        
# 2024-11-23 02:39:23  4.96GB 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-12-6=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-6=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-6=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-6=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-6=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-6=${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
                        
# 2024-11-23 02:39:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:39:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.23.4-1+cuda12.6
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.23.4-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.80-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.6.80-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.3-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.3-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.4.1-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.6.4.1-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.1.54-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.4.2-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.6.77-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.6.77-1
                        
# 2024-11-23 02:39:23  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
                        
# 2024-11-23 02:30:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-11-23 02:30:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-11-23 02:30:19  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-11-23 02:30:19  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-11-23 02:30:19  239.11KB 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
                        
# 2024-11-23 02:30:18  2.14GB 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-12-6=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-6=${NV_NVTX_VERSION}     libcusparse-12-6=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:30:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:30:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.4.2-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.77-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-11-23 02:20:34  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  161.80MB 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-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
                        
# 2024-11-23 02:20:23  10.24MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:20:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
                        
# 2024-11-23 02:20:23  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>=12.6 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
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-10-16 17:25:57  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-10-16 17:25:57  78.12MB 
/bin/sh -c #(nop) ADD file:a3272496fda5a8d021b94dccaa6baa685ded51e9d23edb05f0b30978a83c9fc2 in / 
                        
# 2024-10-16 17:25:55  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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}

更多版本

docker.io/gemneye/seedvr-runpod:latest

linux/amd64 docker.io8.22GB2025-09-02 02:09
12