ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre linux/arm64

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre - 国内下载镜像源 浏览次数:167 温馨提示: 这是一个 linux/arm64 系统架构镜像

这是一个基于FastAPI框架的Kokoro项目镜像,运行在CPU架构上。它由remsky维护,并托管在GitHub Container Registry (ghcr.io)上。

源镜像 ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64
镜像ID sha256:dcedfcf69dd038ee06c12617cc181db114ab79a0947f9d54082430172589e5ff
镜像TAG v0.2.3pre-linuxarm64
大小 3.48GB
镜像源 ghcr.io
CMD ./entrypoint.sh
启动入口
工作目录 /app
OS/平台 linux/arm64
浏览量 167 次
贡献者
镜像创建 2025-02-27T11:34:14.400610807Z
同步时间 2025-05-04 19:18
更新时间 2025-12-14 12:38
环境变量
PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.10.16 PYTHON_SHA256=bfb249609990220491a1b92850a07135ed0831e41738cf681d63cf01b2a8fbd1 PYTHONUNBUFFERED=1 PYTHONPATH=/app:/app/api UV_LINK_MODE=copy USE_GPU=false PHONEMIZER_ESPEAK_PATH=/usr/bin PHONEMIZER_ESPEAK_DATA=/usr/share/espeak-ng-data ESPEAK_DATA_PATH=/usr/share/espeak-ng-data DOWNLOAD_MODEL=true DEVICE=cpu

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre

Shell快速替换命令

sed -i 's#ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64#' 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/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre'

镜像构建历史


# 2025-02-27 19:34:14  0.00B 设置默认要执行的命令
CMD ["./entrypoint.sh"]
                        
# 2025-02-27 19:34:14  0.00B 设置环境变量 DEVICE
ENV DEVICE=cpu
                        
# 2025-02-27 19:34:14  327.42MB 执行命令并创建新的镜像层
RUN /bin/sh -c if [ "$DOWNLOAD_MODEL" = "true" ]; then     python download_model.py --output api/src/models/v1_0;     fi # buildkit
                        
# 2025-02-27 19:33:58  0.00B 设置环境变量 DOWNLOAD_MODEL
ENV DOWNLOAD_MODEL=true
                        
# 2025-02-27 19:33:58  0.00B 设置环境变量 PYTHONUNBUFFERED PYTHONPATH PATH UV_LINK_MODE USE_GPU PHONEMIZER_ESPEAK_PATH PHONEMIZER_ESPEAK_DATA ESPEAK_DATA_PATH
ENV PYTHONUNBUFFERED=1 PYTHONPATH=/app:/app/api PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin UV_LINK_MODE=copy USE_GPU=false PHONEMIZER_ESPEAK_PATH=/usr/bin PHONEMIZER_ESPEAK_DATA=/usr/share/espeak-ng-data ESPEAK_DATA_PATH=/usr/share/espeak-ng-data
                        
# 2025-02-27 19:33:58  239.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x ./entrypoint.sh # buildkit
                        
# 2025-02-27 19:33:58  5.69KB 复制新文件或目录到容器中
COPY --chown=appuser:appuser docker/scripts/ ./ # buildkit
                        
# 2025-02-27 19:33:58  96.33KB 复制新文件或目录到容器中
COPY --chown=appuser:appuser web ./web # buildkit
                        
# 2025-02-27 19:33:58  35.39MB 复制新文件或目录到容器中
COPY --chown=appuser:appuser api ./api # buildkit
                        
# 2025-02-27 19:33:57  2.08GB 执行命令并创建新的镜像层
RUN /bin/sh -c uv venv --python 3.10 &&     uv sync --extra cpu # buildkit
                        
# 2025-02-27 19:29:47  2.26KB 复制新文件或目录到容器中
COPY --chown=appuser:appuser pyproject.toml ./pyproject.toml # buildkit
                        
# 2025-02-27 19:29:47  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-02-27 19:29:47  0.00B 指定运行容器时使用的用户
USER appuser
                        
# 2025-02-27 19:29:47  9.18KB 执行命令并创建新的镜像层
RUN /bin/sh -c useradd -m -u 1000 appuser &&     mkdir -p /app/api/src/models/v1_0 &&     chown -R appuser:appuser /app # buildkit
                        
# 2025-02-27 19:29:46  33.46MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -LsSf https://astral.sh/uv/install.sh | sh &&     mv /root/.local/bin/uv /usr/local/bin/ &&     mv /root/.local/bin/uvx /usr/local/bin/ # buildkit
                        
# 2025-02-27 19:29:39  846.32MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y     espeak-ng     espeak-ng-data     git     libsndfile1     curl     ffmpeg     g++ && apt-get clean && rm -rf /var/lib/apt/lists/* && mkdir -p /usr/share/espeak-ng-data && ln -s /usr/lib/*/espeak-ng-data/* /usr/share/espeak-ng-data/ # buildkit
                        
# 2024-12-05 00:49:14  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-12-05 00:49:14  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2024-12-05 00:49:14  46.39MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		--with-lto 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -r dpkg-query --search 		| cut -d: -f1 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		wheel 	; 	pip3 --version # buildkit
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=bfb249609990220491a1b92850a07135ed0831e41738cf681d63cf01b2a8fbd1
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.16
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2024-12-05 00:49:14  9.17MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-12-05 00:49:14  97.11MB 
# debian.sh --arch 'arm64' out/ 'bookworm' '@1740355200'
                        
                    

镜像信息

{
    "Id": "sha256:dcedfcf69dd038ee06c12617cc181db114ab79a0947f9d54082430172589e5ff",
    "RepoTags": [
        "ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre-linuxarm64"
    ],
    "RepoDigests": [
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu@sha256:37680e0144e7069b5d03aab58d8f46511cd577e6bcdce9bce2916f7d32ef97cb"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-02-27T11:34:14.400610807Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "appuser",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.10.16",
            "PYTHON_SHA256=bfb249609990220491a1b92850a07135ed0831e41738cf681d63cf01b2a8fbd1",
            "PYTHONUNBUFFERED=1",
            "PYTHONPATH=/app:/app/api",
            "UV_LINK_MODE=copy",
            "USE_GPU=false",
            "PHONEMIZER_ESPEAK_PATH=/usr/bin",
            "PHONEMIZER_ESPEAK_DATA=/usr/share/espeak-ng-data",
            "ESPEAK_DATA_PATH=/usr/share/espeak-ng-data",
            "DOWNLOAD_MODEL=true",
            "DEVICE=cpu"
        ],
        "Cmd": [
            "./entrypoint.sh"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": null
    },
    "Architecture": "arm64",
    "Variant": "v8",
    "Os": "linux",
    "Size": 3478984104,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/b4c89f57ab44a14ef033015c2fae1049b9e61dab653700c9210026343b05e50b/diff:/var/lib/docker/overlay2/40311e41458d9ef238093e62d7ac31c8b333a8b8d2a548c1afbfb6c6b19894a7/diff:/var/lib/docker/overlay2/03c7cb4d92da2a2f83e2d5a347497f099db485b9c993762e51633713f0241c89/diff:/var/lib/docker/overlay2/dc631674bb82b859258f18ad3b3cd163fd3e05721a3a823d0bb5f70ee085c991/diff:/var/lib/docker/overlay2/446f803c694d2f200c39754d477c4f6672fe71bb88aa6c135b0f6d8d0d31bd11/diff:/var/lib/docker/overlay2/29a3f128633d7b3027b40a34c30134ad742927f9ee69eb015a0c89444b470c7f/diff:/var/lib/docker/overlay2/1696a9d461e912a2e3b011e2a533aa18bfb04142abe12c2d905c517cc584911f/diff:/var/lib/docker/overlay2/b3af9aecfe04e8608e3817bdb489199863ddcbbc953be552c88f4c0e135c2e64/diff:/var/lib/docker/overlay2/034acdcd429beb7ea9bcafc2e1a719fab245f167db0065b9fbe32b0b3fe509e3/diff:/var/lib/docker/overlay2/f1035797d436607d8b14fef791e0a0d36d6dfb0a12214771a783d799f640ac11/diff:/var/lib/docker/overlay2/ada05b8c5534efc5541d3d6fec6ad9763fe58ea36f707bc15f3492b13412e47f/diff:/var/lib/docker/overlay2/13ba28a98c3c41c6d6d218d6fb277e0956a7b24e252dea42d7646b9d2ee91649/diff:/var/lib/docker/overlay2/25c96ca8a4097037fc019335d7eddc8216737059348096198dae0dd1ea61ced2/diff:/var/lib/docker/overlay2/8a644910fb13e4af8cb2b6278e2f16519e43a7ca51fb8c43a0a2491c0d9abb27/diff",
            "MergedDir": "/var/lib/docker/overlay2/473edfd13781e16e7c833472319485cdc00f4b98c108a23dc33c0c283492dd3c/merged",
            "UpperDir": "/var/lib/docker/overlay2/473edfd13781e16e7c833472319485cdc00f4b98c108a23dc33c0c283492dd3c/diff",
            "WorkDir": "/var/lib/docker/overlay2/473edfd13781e16e7c833472319485cdc00f4b98c108a23dc33c0c283492dd3c/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:52d51720ba2d06cecaed7505a36dbdf74d33d70a2e064ed714f88fe08fd403de",
            "sha256:4d94fe942e05c93f6d538536ac900543603e06b89ffd2389fe879e36df8afc17",
            "sha256:28a6be65d1c4ac51c3bd999b6795d07af955531a27a08e0c879e81f6a3526ada",
            "sha256:5b00d6d0f77182f9cc3e5349bbe54577b4350a294c90da72e6bfd1dfd9b8fffd",
            "sha256:0b3e4569dbf524b074a32b6c7962f9351f7be16600c235971c3818b22a817517",
            "sha256:bc52e2b9988ca0447595e7538a65f6846f43f0a0401cebf5e4ef0d7e8762fecc",
            "sha256:76ed1685999cf3fa40d518dd7fe8b3bc5b9e1fbcac0cc9995ac320dadadfe3bd",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:8c8c060062d3d6e20ca7b05cb1cdb71d9b78d0a8f9e2a47475ab5439a30106ee",
            "sha256:ca96c9f70799972ad9d96516b4f4a5ccd50fca7788d9bf0219b0f91af3193bc1",
            "sha256:8c771de177ffd9eca626c593d880abe4115e29acd7164eeeb3ebe1e130876e87",
            "sha256:2fe5aad194e11534ff701f24acc639844aa036783dabaddce4d34fe45af0c753",
            "sha256:ba5e735b6ecef27602b2f6158f655e0d2b56f8cd42efd49cd6ed1c422f5a8db2",
            "sha256:4c3327e748e479437660d064d56559f19ff16e18af82dd1b5ca484c3c5bcbee8",
            "sha256:24043e36a8a4625f672b201625d54f95276a27641411d92a9c24084df1f94539"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-05-04T19:15:31.674297731+08:00"
    }
}

更多版本

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.2

linux/amd64 ghcr.io3.81GB2025-04-02 14:24
292

ghcr.io/remsky/kokoro-fastapi-cpu:latest

linux/arm64 ghcr.io3.48GB2025-04-14 14:45
695

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre

linux/amd64 ghcr.io3.91GB2025-05-04 19:14
270

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre

linux/arm64 ghcr.io3.48GB2025-05-04 19:18
166

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4

linux/arm64 ghcr.io5.63GB2025-09-28 10:55
124

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4

linux/amd64 ghcr.io5.61GB2025-10-15 12:55
140