ℹ️
注意:这是一个 latest 标签镜像

latest 并不代表最新版本,本站同步时间存在延迟,无法保证此镜像与上游最新版本一致
生产环境建议使用明确的版本号(如 v1.2.3),避免因版本不一致导致问题。 了解更多 →

logo
ghcr.io/debpalash/omnivoice-studio:latest
linux/amd64 ghcr.io
8
浏览次数
11.05GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest
源镜像
ghcr.io/debpalash/omnivoice-studio:latest
镜像ID
sha256:39516cd4688a944100aa24e3f84bcf8c68f2ccd8ae427b3b51ff55b079c5f928
镜像 TAG
latest
镜像大小
11.05GB
平台架构
linux/amd64
镜像源
ghcr.io
CMD
启动入口
python3 -m uvicorn backend.main:app --host 0.0.0.0 --port 3900
工作目录
/app
OS/平台
linux/amd64
镜像创建
2026-09-23T12:30:16.455549781Z
同步时间
2026-09-24 02:09
浏览量
8 次
贡献者
🔌 开放端口 1
3900/tcp
📁 目录挂载 1
 /app/omnivoice_data
⚙️ 环境变量 12
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVIDIA_VISIBLE_DEVICES=all 1
NVIDIA_DRIVER_CAPABILITIES=compute,utility 2
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 3
PYTORCH_VERSION=2.8.0 4
PYTHONDONTWRITEBYTECODE=1 5
PYTHONUNBUFFERED=1 6
HF_HOME=/app/omnivoice_data/huggingface 7
PYTHONPATH=/app/backend 8
OMNIVOICE_SERVER_MODE=1 9
PIP_BREAK_SYSTEM_PACKAGES=1 10
UV_BREAK_SYSTEM_PACKAGES=1 11
🏷️ 镜像标签 10
KeyValue
nvidia_driver com.nvidia.volumes.needed
2026-09-23T14:05:50.863Z org.opencontainers.image.created
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages. org.opencontainers.image.description
AGPL-3.0 org.opencontainers.image.licenses
ubuntu org.opencontainers.image.ref.name
453213882dd18c3e8fcca95d0912e7b58a4b4813 org.opencontainers.image.revision
https://github.com/debpalash/VoiceStudio org.opencontainers.image.source
VoiceStudio org.opencontainers.image.title
https://github.com/debpalash/VoiceStudio org.opencontainers.image.url
latest org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest  ghcr.io/debpalash/omnivoice-studio:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest  ghcr.io/debpalash/omnivoice-studio:latest

Shell快速替换命令

sed -i 's#ghcr.io/debpalash/omnivoice-studio:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest  ghcr.io/debpalash/omnivoice-studio:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest  ghcr.io/debpalash/omnivoice-studio:latest'

镜像构建历史


# 2026-09-23 20:30:16  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python3" "-m" "uvicorn" "backend.main:app" "--host" "0.0.0.0" "--port" "3900"]
                        
# 2026-09-23 20:30:16  0.00B 创建挂载点用于持久化数据或共享数据
VOLUME [/app/omnivoice_data]
                        
# 2026-09-23 20:30:16  0.00B 指定检查容器健康状态的命令
HEALTHCHECK {Test:[CMD-SHELL curl -fsS http://127.0.0.1:3900/health || exit 1] Interval:30s Timeout:5s StartPeriod:2m0s StartInterval:0s Retries:5}
                        
# 2026-09-23 20:30:16  0.00B 声明容器运行时监听的端口
EXPOSE [3900/tcp]
                        
# 2026-09-23 20:30:16  11.24MB 复制新文件或目录到容器中
COPY /app/frontend/dist ./frontend/dist # buildkit
                        
# 2026-09-23 20:30:15  1.76KB 复制新文件或目录到容器中
COPY alembic.ini ./ # buildkit
                        
# 2026-09-23 20:30:15  516.99KB 复制新文件或目录到容器中
COPY omnivoice/ ./omnivoice/ # buildkit
                        
# 2026-09-23 20:30:15  25.41MB 复制新文件或目录到容器中
COPY backend/ ./backend/ # buildkit
                        
# 2026-09-23 15:43:24  1.12GB 执行命令并创建新的镜像层
RUN |1 GPU_FLAVOR=cuda /bin/sh -c if [ "$GPU_FLAVOR" = "cuda" ]; then       target="$(python3 -c "import os, sys; print(os.path.join(sys.prefix, 'lib', 'python%d.%d' % sys.version_info[:2], 'site-packages', 'cudnn8_compat'))")" &&       uv pip install --python "$(command -v python3)" --no-cache --no-deps         --target "$target" nvidia-cudnn-cu12==8.9.7.29 &&       python3 -c "import os, sys; d = os.path.join(sys.prefix, 'lib', 'python%d.%d' % sys.version_info[:2], 'site-packages', 'cudnn8_compat', 'nvidia', 'cudnn', 'lib');         libs = [f for f in os.listdir(d) if '.so.8' in f];         assert libs, 'cudnn8_compat installed but no .so.8 libraries in ' + d;         print('cuDNN 8 compat libraries: %d' % len(libs))";     fi # buildkit
                        
# 2026-09-23 15:43:19  0.00B 执行命令并创建新的镜像层
RUN |1 GPU_FLAVOR=cuda /bin/sh -c python3 -c "import os, torch, torchaudio, torchvision;     flavor = os.environ['GPU_FLAVOR'];     accel = torch.version.hip if flavor == 'rocm' else torch.version.cuda;     print(f'torch={torch.__version__} torchaudio={torchaudio.__version__} torchvision={torchvision.__version__} {flavor}={accel}');     assert accel, f'base image {flavor} torch was clobbered (now {torch.__version__})';     import torchvision.ops; torchvision.ops.nms;     print('torchvision C++ ops resolve against this torch')" # buildkit
                        
# 2026-09-23 15:43:16  0.00B 定义构建参数
ARG GPU_FLAVOR=cuda
                        
# 2026-09-23 15:43:16  1.51GB 执行命令并创建新的镜像层
RUN /bin/sh -c uv pip install --python "$(command -v python3)" --no-cache     --constraint deploy/torch-constraints.txt . # buildkit
                        
# 2026-09-23 15:43:07  1.88KB 复制新文件或目录到容器中
COPY deploy/torch-constraints.txt ./deploy/torch-constraints.txt # buildkit
                        
# 2026-09-23 15:43:07  1.45MB 复制新文件或目录到容器中
COPY pyproject.toml uv.lock README.md ./ # buildkit
                        
# 2026-09-19 13:59:13  51.30MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m pip install --no-cache-dir uv # buildkit
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 UV_BREAK_SYSTEM_PACKAGES
ENV UV_BREAK_SYSTEM_PACKAGES=1
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2026-09-19 13:59:11  638.22MB 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     build-essential     ffmpeg     libsndfile1     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 OMNIVOICE_SERVER_MODE
ENV OMNIVOICE_SERVER_MODE=1
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/app/backend
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/omnivoice_data/huggingface
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2026-09-19 13:59:11  0.00B 设置环境变量 PYTHONDONTWRITEBYTECODE
ENV PYTHONDONTWRITEBYTECODE=1
                        
# 2026-09-19 13:58:46  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-08-07 01:20:49  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-08-07 01:20:49  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.8.0
                        
# 2025-08-07 01:20:49  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-08-07 01:20:49  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-08-07 01:20:49  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-08-07 01:20:49  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-08-07 01:20:49  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-08-07 01:20:49  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.8.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.8.1 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc;         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2025-08-07 01:20:48  7.58GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2025-08-07 01:16:04  25.99MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.8.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.8.1 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-07 01:16:04  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2025-08-07 01:16:04  0.00B 定义构建参数
ARG CUDA_VERSION=12.8.1
                        
# 2025-08-07 01:16:04  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-08-07 01:16:04  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2025-08-07 01:16:04  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.8.0
                        
# 2025-07-15 00:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-15 00:33:31  77.87MB 
/bin/sh -c #(nop) ADD file:415bbc01dfb447d002e2d8173e113ef025d2bbfa20f1205823fa699dc87a2019 in / 
                        
# 2025-07-15 00:33:29  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-07-15 00:33:29  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-15 00:33:29  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-15 00:33:29  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:39516cd4688a944100aa24e3f84bcf8c68f2ccd8ae427b3b51ff55b079c5f928",
    "RepoTags": [
        "ghcr.io/debpalash/omnivoice-studio:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio:latest"
    ],
    "RepoDigests": [
        "ghcr.io/debpalash/omnivoice-studio@sha256:72f944109540db3f3f573bd83c7bd13efb1eafb053ec33d06d9cad96f1934a5e",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/debpalash/omnivoice-studio@sha256:c037e25ab959ecc2ef6c064503dfd69c22741b987de28bcdae96dd53248e0344"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-23T12:30:16.455549781Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "3900/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "PYTORCH_VERSION=2.8.0",
            "PYTHONDONTWRITEBYTECODE=1",
            "PYTHONUNBUFFERED=1",
            "HF_HOME=/app/omnivoice_data/huggingface",
            "PYTHONPATH=/app/backend",
            "OMNIVOICE_SERVER_MODE=1",
            "PIP_BREAK_SYSTEM_PACKAGES=1",
            "UV_BREAK_SYSTEM_PACKAGES=1"
        ],
        "Cmd": null,
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "curl -fsS http://127.0.0.1:3900/health || exit 1"
            ],
            "Interval": 30000000000,
            "Timeout": 5000000000,
            "StartPeriod": 120000000000,
            "Retries": 5
        },
        "Image": "",
        "Volumes": {
            "/app/omnivoice_data": {}
        },
        "WorkingDir": "/app",
        "Entrypoint": [
            "python3",
            "-m",
            "uvicorn",
            "backend.main:app",
            "--host",
            "0.0.0.0",
            "--port",
            "3900"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.created": "2026-09-23T14:05:50.863Z",
            "org.opencontainers.image.description": "VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription \u0026 audiobook creation in 646 languages.",
            "org.opencontainers.image.licenses": "AGPL-3.0",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "453213882dd18c3e8fcca95d0912e7b58a4b4813",
            "org.opencontainers.image.source": "https://github.com/debpalash/VoiceStudio",
            "org.opencontainers.image.title": "VoiceStudio",
            "org.opencontainers.image.url": "https://github.com/debpalash/VoiceStudio",
            "org.opencontainers.image.version": "latest"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 11046959466,
    "GraphDriver": {
        "Data": {
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            "MergedDir": "/var/lib/docker/overlay2/a7b2248dad1a3040900e67cbad6e14cd36445167debfa9366c21f2e009c04b9a/merged",
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            "WorkDir": "/var/lib/docker/overlay2/a7b2248dad1a3040900e67cbad6e14cd36445167debfa9366c21f2e009c04b9a/work"
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        "Name": "overlay2"
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    "Metadata": {
        "LastTagTime": "2026-09-24T02:07:49.768495041+08:00"
    }
}

更多版本

ghcr.io/debpalash/omnivoice-studio:latest

linux/amd64 ghcr.io11.05GB2026-09-24 02:09
7
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