ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4 linux/arm64

ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4 - 国内下载镜像源 浏览次数:57 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:v0.2.4
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-linuxarm64
镜像ID sha256:c0663c81d1a37e9841f1bb0a0477bb762476e917b9527480fe3e2fe7c5d67ea6
镜像TAG v0.2.4-linuxarm64
大小 5.63GB
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 57 次
贡献者
镜像创建 2025-06-18T22:25:02.111643269Z
同步时间 2025-09-28 10:55
更新时间 2025-10-23 20:41
环境变量
PATH=/app/.venv/bin:/home/appuser/.cargo/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=3.10.18 PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f 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:v0.2.4-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4

Shell快速替换命令

sed -i 's#ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-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:v0.2.4-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4'

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:v0.2.4-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4-linuxarm64  ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4'

镜像构建历史


# 2025-06-19 06:25:02  0.00B 设置默认要执行的命令
CMD ["./entrypoint.sh"]
                        
# 2025-06-19 06:25:02  0.00B 设置环境变量 DEVICE
ENV DEVICE=cpu
                        
# 2025-06-19 06:25:02  327.53MB 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
                        
# 2025-06-19 06:24:45  0.00B 设置环境变量 DOWNLOAD_MODEL
ENV DOWNLOAD_MODEL=true
                        
# 2025-06-19 06:24:45  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:/home/appuser/.cargo/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
                        
# 2025-06-19 06:24:45  239.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x ./entrypoint.sh # buildkit
                        
# 2025-06-19 06:24:44  5.53KB 复制新文件或目录到容器中
COPY --chown=appuser:appuser docker/scripts/ ./ # buildkit
                        
# 2025-06-19 06:24:44  97.74KB 复制新文件或目录到容器中
COPY --chown=appuser:appuser web ./web # buildkit
                        
# 2025-06-19 06:24:44  35.42MB 复制新文件或目录到容器中
COPY --chown=appuser:appuser api ./api # buildkit
                        
# 2025-06-19 06:24:44  3.08GB 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
                        
# 2025-06-19 06:11:22  0.00B 设置环境变量 PATH
ENV PATH=/home/appuser/.cargo/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-06-19 06:11:22  1.16GB 执行命令并创建新的镜像层
RUN /bin/sh -c curl https://sh.rustup.rs -sSf | sh -s -- -y # buildkit
                        
# 2025-06-19 06:10:39  2.17KB 复制新文件或目录到容器中
COPY --chown=appuser:appuser pyproject.toml ./pyproject.toml # buildkit
                        
# 2025-06-19 06:10:39  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-06-19 06:10:39  0.00B 指定运行容器时使用的用户
USER appuser
                        
# 2025-06-19 06:10:39  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
                        
# 2025-06-19 06:10:38  37.10MB 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
                        
# 2025-06-19 06:10:31  846.57MB 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
                        
# 2025-06-04 05:49:13  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-06-04 05:49:13  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
                        
# 2025-06-04 05:49:13  46.41MB 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 		$(test "$gnuArch" != 'riscv64-linux-musl' && echo '--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<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-06-04 05:49:13  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f
                        
# 2025-06-04 05:49:13  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.18
                        
# 2025-06-04 05:49:13  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-06-04 05:49:13  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
                        
# 2025-06-04 05:49:13  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-06-04 05:49:13  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
                        
# 2025-06-04 05:49:13  97.21MB 
# debian.sh --arch 'arm64' out/ 'bookworm' '@1749513600'
                        
                    

镜像信息

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    "Created": "2025-06-18T22:25:02.111643269Z",
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    "Author": "",
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
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    "Os": "linux",
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更多版本

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

linux/amd64 ghcr.io3.81GB2025-04-02 14:24
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ghcr.io/remsky/kokoro-fastapi-cpu:latest

linux/arm64 ghcr.io3.48GB2025-04-14 14:45
509

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

linux/amd64 ghcr.io3.91GB2025-05-04 19:14
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ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.3pre

linux/arm64 ghcr.io3.48GB2025-05-04 19:18
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ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4

linux/arm64 ghcr.io5.63GB2025-09-28 10:55
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ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.4

linux/amd64 ghcr.io5.61GB2025-10-15 12:55
34