docker.io/xxxxrt666/gpt-sovits:latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest  docker.io/xxxxrt666/gpt-sovits:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest  docker.io/xxxxrt666/gpt-sovits:latest

Shell快速替换命令

sed -i 's#xxxxrt666/gpt-sovits:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits: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/xxxxrt666/gpt-sovits:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest  docker.io/xxxxrt666/gpt-sovits: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/xxxxrt666/gpt-sovits:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest  docker.io/xxxxrt666/gpt-sovits:latest'

镜像构建历史

# 2025-06-16 16:21:38  0.00B 设置默认要执行的命令
CMD ["/bin/bash" "-c" "  rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models &&   rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/text/G2PWModel &&   rm -rf /workspace/GPT-SoVITS/tools/asr/models &&   rm -rf /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights &&   ln -s /workspace/models/pretrained_models /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models &&   ln -s /workspace/models/G2PWModel /workspace/GPT-SoVITS/GPT_SoVITS/text/G2PWModel &&   ln -s /workspace/models/asr_models /workspace/GPT-SoVITS/tools/asr/models &&   ln -s /workspace/models/uvr5_weights /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights &&   exec bash"]
                        
# 2025-06-16 16:21:38  36.69MB 复制新文件或目录到容器中
COPY . /workspace/GPT-SoVITS # buildkit
                        
# 2025-06-16 16:21:38  0.00B 设置工作目录为/workspace/GPT-SoVITS
WORKDIR /workspace/GPT-SoVITS
                        
# 2025-06-16 16:21:38  0.00B 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c rm -rf /workspace/GPT-SoVITS # buildkit
                        
# 2025-06-16 16:21:38  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-06-16 16:21:38  3.58KB 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c conda init bash && echo "conda activate base" >> ~/.bashrc # buildkit
                        
# 2025-06-16 16:21:37  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/workspace/GPT-SoVITS
                        
# 2025-06-16 16:21:37  0.00B 声明容器运行时监听的端口
EXPOSE map[9871/tcp:{} 9872/tcp:{} 9873/tcp:{} 9874/tcp:{} 9880/tcp:{}]
                        
# 2025-06-16 16:21:37  2.35GB 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c bash Docker/install_wrapper.sh # buildkit
                        
# 2025-06-16 16:18:23  9.18KB 复制新文件或目录到容器中
COPY install.sh /workspace/GPT-SoVITS/ # buildkit
                        
# 2025-06-16 16:18:23  735.00B 复制新文件或目录到容器中
COPY requirements.txt /workspace/GPT-SoVITS/ # buildkit
                        
# 2025-06-16 16:18:23  15.00B 复制新文件或目录到容器中
COPY extra-req.txt /workspace/GPT-SoVITS/ # buildkit
                        
# 2025-06-16 16:18:23  0.00B 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c bash Docker/miniconda_install.sh # buildkit
                        
# 2025-06-16 16:18:23  0.00B 设置环境变量 TARGETPLATFORM
ENV TARGETPLATFORM=linux/amd64
                        
# 2025-06-16 16:18:23  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-06-16 16:18:23  0.00B 设置环境变量 WORKFLOW
ENV WORKFLOW=true
                        
# 2025-06-16 16:18:23  0.00B 定义构建参数
ARG WORKFLOW=true
                        
# 2025-06-16 16:18:23  0.00B 设置环境变量 LITE
ENV LITE=true
                        
# 2025-06-16 16:18:23  0.00B 定义构建参数
ARG LITE=true
                        
# 2025-06-16 16:18:23  2.52KB 复制新文件或目录到容器中
COPY Docker /workspace/GPT-SoVITS/Docker/ # buildkit
                        
# 2025-06-16 16:18:23  0.00B 设置工作目录为/workspace/GPT-SoVITS
WORKDIR /workspace/GPT-SoVITS
                        
# 2025-06-16 16:18:23  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-06-16 16:18:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6
                        
# 2025-06-16 16:18:23  0.00B 定义构建参数
ARG CUDA_VERSION=12.6
                        
# 2025-06-16 16:18:23  0.00B 添加元数据标签
LABEL description=Docker image for GPT-SoVITS
                        
# 2025-06-16 16:18:23  0.00B 添加元数据标签
LABEL version=V4
                        
# 2025-06-16 16:18:23  0.00B 添加元数据标签
LABEL maintainer=XXXXRT
                        
# 2025-06-05 02:42:48  0.00B 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c du -h --max-depth=3 | sort -hr | head -n 20 && du -h --max-depth=4 /root/miniconda3 | sort -hr | head -n 20 && du -h --max-depth=3 /workspace | sort -hr | head -n 20 && du -h /root/miniconda3/lib/python3.11/site-packages --max-depth=1 | sort -hr | head -n 20 # buildkit
                        
# 2025-06-05 02:42:47  5.11GB 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c bash model_download.sh && rm -rf /workspace/model_download.sh # buildkit
                        
# 2025-06-05 02:41:33  2.04KB 复制新文件或目录到容器中
COPY model_download.sh /workspace # buildkit
                        
# 2025-06-05 02:41:33  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/root/miniconda3/lib/python3.11/site-packages/nvidia/cublas/lib:/root/miniconda3/lib/python3.11/site-packages/nvidia/cudnn/lib:
                        
# 2025-06-05 02:41:33  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/root/miniconda3/lib/python3.11/site-packages/nvidia/cudnn/lib:
                        
# 2025-06-05 02:41:33  0.00B 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c echo $LD_LIBRARY_PATH # buildkit
                        
# 2025-06-05 02:41:33  0.00B 设置环境变量 PATH
ENV PATH=/root/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-06-05 02:41:33  6.56GB 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.6 LITE=true WORKFLOW=true TARGETPLATFORM=linux/amd64 /bin/bash -c bash miniconda_install.sh && rm -rf /workspace/miniconda_install.sh # buildkit
                        
# 2025-06-05 02:38:57  1.89KB 复制新文件或目录到容器中
COPY miniconda_install.sh /workspace # buildkit
                        
# 2025-06-05 02:38:57  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-06-05 02:38:57  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2025-06-05 02:38:57  0.00B 设置环境变量 TARGETPLATFORM
ENV TARGETPLATFORM=linux/amd64
                        
# 2025-06-05 02:38:57  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-06-05 02:38:57  0.00B 设置环境变量 WORKFLOW
ENV WORKFLOW=true
                        
# 2025-06-05 02:38:57  0.00B 定义构建参数
ARG WORKFLOW=true
                        
# 2025-06-05 02:38:57  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6 LITE=true WORKFLOW=true /bin/bash -c du -h --max-depth=3 | sort -hr | head -n 20 # buildkit
                        
# 2025-06-05 02:38:57  312.90MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6 LITE=true WORKFLOW=true /bin/bash -c DEBIAN_FRONTEND=noninteractive apt-get update -qq 1>/dev/null &&   apt-get install -y -qq --no-install-recommends     wget     curl     build-essential     wget     curl     unzip     git     nano     htop     procps     ca-certificates     locales     libssl-dev     libbz2-dev     liblzma-dev     libreadline-dev     libsqlite3-dev     zlib1g-dev     coreutils     util-linux     procps     1>/dev/null     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-05 02:38:57  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-06-05 02:38:57  0.00B 设置环境变量 WORKFLOW
ENV WORKFLOW=true
                        
# 2025-06-05 02:38:57  0.00B 定义构建参数
ARG WORKFLOW=true
                        
# 2025-06-05 02:38:57  0.00B 设置环境变量 LITE
ENV LITE=true
                        
# 2025-06-05 02:38:57  0.00B 定义构建参数
ARG LITE=true
                        
# 2025-06-05 02:38:57  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6
                        
# 2025-06-05 02:38:57  0.00B 定义构建参数
ARG CUDA_VERSION=12.6
                        
# 2025-06-05 02:38:57  0.00B 添加元数据标签
LABEL description=Docker Base image for GPT-SoVITS
                        
# 2025-06-05 02:38:57  0.00B 添加元数据标签
LABEL version=V4-0503
                        
# 2025-06-05 02:38:57  0.00B 添加元数据标签
LABEL maintainer=XXXXRT
                        
# 2025-05-31 06:30:45  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-05-31 06:30:45  77.86MB 
/bin/sh -c #(nop) ADD file:82f38ebced7b2756311fb492d3d44cc131b22654e8620baa93883537a3e355aa in / 
                        
# 2025-05-31 06:30:42  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-05-31 06:30:42  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-05-31 06:30:42  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-05-31 06:30:42  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "xxxxrt666/gpt-sovits:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xxxxrt666/gpt-sovits:latest"
    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-06-16T08:21:38.441751437Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
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            "9872/tcp": {},
            "9873/tcp": {},
            "9874/tcp": {},
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        "Tty": false,
        "OpenStdin": false,
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        "Env": [
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            "CUDA_VERSION=12.6",
            "LITE=true",
            "WORKFLOW=true",
            "TARGETPLATFORM=linux/amd64",
            "HOME=/root",
            "LD_LIBRARY_PATH=/root/miniconda3/lib/python3.11/site-packages/nvidia/cublas/lib:/root/miniconda3/lib/python3.11/site-packages/nvidia/cudnn/lib:",
            "PYTHONPATH=/workspace/GPT-SoVITS"
        ],
        "Cmd": [
            "/bin/bash",
            "-c",
            "  rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models \u0026\u0026   rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/text/G2PWModel \u0026\u0026   rm -rf /workspace/GPT-SoVITS/tools/asr/models \u0026\u0026   rm -rf /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights \u0026\u0026   ln -s /workspace/models/pretrained_models /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models \u0026\u0026   ln -s /workspace/models/G2PWModel /workspace/GPT-SoVITS/GPT_SoVITS/text/G2PWModel \u0026\u0026   ln -s /workspace/models/asr_models /workspace/GPT-SoVITS/tools/asr/models \u0026\u0026   ln -s /workspace/models/uvr5_weights /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights \u0026\u0026   exec bash"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace/GPT-SoVITS",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "description": "Docker image for GPT-SoVITS",
            "maintainer": "XXXXRT",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04",
            "version": "V4"
        },
        "Shell": [
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            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 14446523327,
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