docker.io/t41372/open-llm-vtuber:latest linux/amd64

docker.io/t41372/open-llm-vtuber:latest - 国内下载镜像源浏览次数:22

源镜像	docker.io/t41372/open-llm-vtuber:latest
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest
镜像ID	sha256:8ef7eacb38c8ae1f3a90e6e146e0151b6c0f02057d940cfca33fc35b417a9959
镜像TAG	latest
大小	17.61GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD	python3 server.py
启动入口	/opt/nvidia/nvidia_entrypoint.sh
工作目录	/app
OS/平台	linux/amd64
浏览量	22 次
贡献者	49******4@qq.com
镜像创建	2024-11-26T05:06:21.822787691Z
同步时间	2025-07-11 03:21
更新时间	2025-07-12 13:07

开放端口

12393/tcp

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>=12.6 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=12.6.37-1 CUDA_VERSION=12.6.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.6.0-1 NV_NVTX_VERSION=12.6.37-1 NV_LIBNPP_VERSION=12.3.1.23-1 NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.23-1 NV_LIBCUSPARSE_VERSION=12.5.2.23-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6 NV_LIBCUBLAS_VERSION=12.6.0.22-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.0.22-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1 NCCL_VERSION=2.22.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=9.3.0.75-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1 DEBIAN_FRONTEND=noninteractive

镜像标签

9.3.0.75-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

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无权限下载?点我修复生成Docker Run命令

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest  docker.io/t41372/open-llm-vtuber:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest  docker.io/t41372/open-llm-vtuber:latest

Shell快速替换命令

sed -i 's#t41372/open-llm-vtuber:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber: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/t41372/open-llm-vtuber:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest  docker.io/t41372/open-llm-vtuber: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/t41372/open-llm-vtuber:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest  docker.io/t41372/open-llm-vtuber:latest'

镜像构建历史


# 2024-11-26 13:06:21  0.00B 设置默认要执行的命令
CMD ["python3" "server.py"]
                        
# 2024-11-26 13:06:21  0.00B 声明容器运行时监听的端口
EXPOSE map[12393/tcp:{}]
                        
# 2024-11-26 13:06:21  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2024-11-26 13:06:21  52.23MB 复制新文件或目录到容器中
COPY . /app # buildkit
                        
# 2024-11-26 13:06:21  0.00B 执行命令并创建新的镜像层
RUN |1 INSTALL_BARK=false /bin/sh -c if [ "$INSTALL_BARK" = "true" ]; then         pip install git+https://github.com/suno-ai/bark.git;     fi # buildkit
                        
# 2024-11-26 13:06:20  0.00B 定义构建参数
ARG INSTALL_BARK=false
                        
# 2024-11-26 13:06:20  0.00B 执行命令并创建新的镜像层
RUN |1 INSTALL_ORIGINAL_WHISPER=false /bin/sh -c if [ "$INSTALL_WHISPER" = "true" ]; then         pip install openai-whisper;     fi # buildkit
                        
# 2024-11-26 13:06:20  0.00B 定义构建参数
ARG INSTALL_ORIGINAL_WHISPER=false
                        
# 2024-11-26 13:06:20  1.27GB 执行命令并创建新的镜像层
RUN /bin/sh -c python melo/init_downloads.py # buildkit
                        
# 2024-11-26 13:04:00  811.66MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m unidic download # buildkit
                        
# 2024-11-26 13:03:24  1.74GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -e . # buildkit
                        
# 2024-11-26 13:02:17  28.93MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/myshell-ai/MeloTTS.git /opt/MeloTTS # buildkit
                        
# 2024-11-26 13:02:16  0.00B 设置工作目录为/opt/MeloTTS
WORKDIR /opt/MeloTTS
                        
# 2024-11-26 13:02:16  168.72MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install edge-tts azure-cognitiveservices-speech py3-tts # buildkit
                        
# 2024-11-26 13:02:13  8.32GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install torch torchaudio # buildkit
                        
# 2024-11-26 13:01:04  3.67MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install pywhispercpp # buildkit
                        
# 2024-11-26 13:01:02  565.65MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -U funasr modelscope huggingface_hub # buildkit
                        
# 2024-11-26 13:00:38  710.61MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir -r /tmp/requirements.txt # buildkit
                        
# 2024-11-26 13:00:07  215.00B 复制新文件或目录到容器中
COPY requirements.txt /tmp/ # buildkit
                        
# 2024-11-26 13:00:07  12.08MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py && rm get-pip.py # buildkit
                        
# 2024-11-26 13:00:04  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
                        
# 2024-11-26 13:00:04  15.93MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m venv /opt/venv # buildkit
                        
# 2024-11-26 13:00:01  734.02MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     software-properties-common     build-essential libsndfile1     git     curl     ffmpeg     libportaudio2     g++     python3-venv     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-26 13:00:01  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-08-10 02:12:01  877.34MB 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}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-10 02:12:01  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.3.0.75-1
                        
# 2024-08-10 02:12:01  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-08-10 02:12:01  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-08-10 02:12:01  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1
                        
# 2024-08-10 02:12:01  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-08-10 02:12:01  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.3.0.75-1
                        
# 2024-08-10 01:43:33  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-08-10 01:43:33  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-08-10 01:43:33  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-08-10 01:43:33  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-08-10 01:43:33  262.99KB 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
                        
# 2024-08-10 01:43:32  2.05GB 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
                        
# 2024-08-10 01:43:32  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-08-10 01:43:32  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.0.22-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.0.22-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.2.23-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.23-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.23-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.37-1
                        
# 2024-08-10 01:43:32  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.0-1
                        
# 2024-08-10 01:38:07  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-08-10 01:38:07  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-08-10 01:38:07  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-08-10 01:38:07  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-08-10 01:38:07  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
                        
# 2024-08-10 01:38:07  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
                        
# 2024-08-10 01:38:07  161.58MB 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
                        
# 2024-08-10 01:37:56  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.0
                        
# 2024-08-10 01:37:56  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
                        
# 2024-08-10 01:37:56  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-08-10 01:37:56  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-08-10 01:37:56  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.37-1
                        
# 2024-08-10 01:37:56  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
                        
# 2024-08-10 01:37:56  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-06-28 04:10:12  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-06-28 04:10:12  77.86MB 
/bin/sh -c #(nop) ADD file:d5da92199726e42da09a6f75a778befb607fe3f79e4afaf7ef5188329b26b386 in / 
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "Id": "sha256:8ef7eacb38c8ae1f3a90e6e146e0151b6c0f02057d940cfca33fc35b417a9959",
    "RepoTags": [
        "t41372/open-llm-vtuber:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber:latest"
    ],
    "RepoDigests": [
        "t41372/open-llm-vtuber@sha256:e29563815bc2e8ef9c45f133c2ba4aa47c2554c93d58fceed3475579826d6350",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/t41372/open-llm-vtuber@sha256:bec654c2fe4a6939b80924831dec360d3d79114a412982190f533d42e3716ea5"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-11-26T05:06:21.822787691Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "12393/tcp": {}
        },
        "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",
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}

更多版本

docker.io/t41372/open-llm-vtuber:latest

linux/amd64 docker.io17.61GB2025-07-11 03:21