docker.io/facefusion/facefusion:3.3.2-cuda linux/amd64

docker.io/facefusion/facefusion:3.3.2-cuda - 国内下载镜像源 浏览次数:18
源镜像 docker.io/facefusion/facefusion:3.3.2-cuda
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda
镜像ID sha256:7da4e061bb86dcffea48b801870eab2c9cf37afa13131c16e36fd0c2ab67964f
镜像TAG 3.3.2-cuda
大小 7.98GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /facefusion
OS/平台 linux/amd64
浏览量 18 次
贡献者
镜像创建 2025-07-10T21:23:59.098434621Z
同步时间 2025-09-05 00:55
更新时间 2025-09-05 22:58
环境变量
PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.9 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 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 NV_CUDA_CUDART_VERSION=12.9.79-1 CUDA_VERSION=12.9.1 LD_LIBRARY_PATH=/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.9.1-1 NV_NVTX_VERSION=12.9.79-1 NV_LIBNPP_VERSION=12.4.1.87-1 NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.1.87-1 NV_LIBCUSPARSE_VERSION=12.5.10.65-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9 NV_LIBCUBLAS_VERSION=12.9.1.4-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.1.4-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.27.3-1 NCCL_VERSION=2.27.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.27.3-1+cuda12.9 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=9.10.2.21-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.10.2.21-1 GRADIO_SERVER_NAME=0.0.0.0 PIP_BREAK_SYSTEM_PACKAGES=1
镜像标签
9.10.2.21-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version
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Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda  docker.io/facefusion/facefusion:3.3.2-cuda

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda  docker.io/facefusion/facefusion:3.3.2-cuda

Shell快速替换命令 

sed -i 's#facefusion/facefusion:3.3.2-cuda#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda#' 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/facefusion/facefusion:3.3.2-cuda && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda  docker.io/facefusion/facefusion:3.3.2-cuda'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda  docker.io/facefusion/facefusion:3.3.2-cuda'

镜像构建历史 


# 2025-07-11 05:23:59  1.91GB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c python install.py --onnxruntime cuda --skip-conda # buildkit
                        
# 2025-07-11 05:22:36  26.37MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c git clone https://github.com/facefusion/facefusion.git --branch ${FACEFUSION_VERSION} --single-branch . # buildkit
                        
# 2025-07-11 05:22:36  643.45MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get install ffmpeg -y # buildkit
                        
# 2025-07-11 05:22:07  2.12MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get install curl -y # buildkit
                        
# 2025-07-11 05:22:05  26.34MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get install git -y # buildkit
                        
# 2025-07-11 05:22:02  373.59MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get install pip -y # buildkit
                        
# 2025-07-11 05:21:49  746.03KB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get install python-is-python3 -y # buildkit
                        
# 2025-07-11 05:21:47  36.60MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get install python3.12 -y # buildkit
                        
# 2025-07-11 05:21:43  51.66MB 执行命令并创建新的镜像层
RUN |1 FACEFUSION_VERSION=3.3.2 /bin/sh -c apt-get update # buildkit
                        
# 2025-07-11 05:21:41  0.00B 设置工作目录为/facefusion
WORKDIR /facefusion
                        
# 2025-07-11 05:21:41  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2025-07-11 05:21:41  0.00B 设置环境变量 GRADIO_SERVER_NAME
ENV GRADIO_SERVER_NAME=0.0.0.0
                        
# 2025-07-11 05:21:41  0.00B 定义构建参数
ARG FACEFUSION_VERSION=3.3.2
                        
# 2025-06-14 13:08:59  1.05GB 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     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-14 13:08:59  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.10.2.21-1
                        
# 2025-06-14 13:08:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-06-14 13:08:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-06-14 13:08:59  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.10.2.21-1
                        
# 2025-06-14 13:08:59  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2025-06-14 13:08:59  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.10.2.21-1
                        
# 2025-06-13 03:28:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-06-13 03:28:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-06-13 03:28:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-06-13 03:28:34  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-06-13 03:28:34  240.06KB 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
                        
# 2025-06-13 03:28:34  3.46GB 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-12-9=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-9=${NV_NVTX_VERSION}     libcusparse-12-9=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-13 03:28:34  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-06-13 03:28:34  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.27.3-1+cuda12.9
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.27.3-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.27.3-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.1.4-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.9.1.4-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.10.65-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.1.87-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.4.1.87-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.9.79-1
                        
# 2025-06-13 03:28:34  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.9.1-1
                        
# 2025-06-12 17:40:08  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-06-12 17:40:08  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-06-12 17:40:08  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-06-12 17:40:08  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-06-12 17:40:08  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-06-12 17:40:08  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-06-12 17:40:08  315.62MB 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-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-12 17:39:45  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.1
                        
# 2025-06-12 17:39:45  10.26MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-12 17:39:45  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-06-12 17:39:45  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-06-12 17:39:45  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.79-1
                        
# 2025-06-12 17:39:45  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 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>=12.9 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 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
                        
# 2025-06-12 17:39:45  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-05-29 12:21:01  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-05-29 12:21:01  78.11MB 
/bin/sh -c #(nop) ADD file:598ca0108009b5c2e9e6f4fc4bd19a6bcd604fccb5b9376fac14a75522a5cfa3 in / 
                        
# 2025-05-29 12:20:59  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-05-29 12:20:59  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-05-29 12:20:59  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-05-29 12:20:59  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:7da4e061bb86dcffea48b801870eab2c9cf37afa13131c16e36fd0c2ab67964f",
    "RepoTags": [
        "facefusion/facefusion:3.3.2-cuda",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion:3.3.2-cuda"
    ],
    "RepoDigests": [
        "facefusion/facefusion@sha256:fe3563574b9c2fa003194cad26f6104fd8cbcb63b01544da575478b876362cbf",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/facefusion/facefusion@sha256:d8b33171865e2c53bedbbf99daef5c00e82b8f5b53e7f2203815f23d2e48de50"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-07-10T21:23:59.098434621Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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}

更多版本

docker.io/facefusion/facefusion:3.3.2-cuda

linux/amd64 docker.io7.98GB2025-09-05 00:55
17