docker.io/safiindeed/indextts2:3-test linux/amd64

docker.io/safiindeed/indextts2:3-test - 国内下载镜像源 浏览次数:9
源镜像 docker.io/safiindeed/indextts2:3-test
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test
镜像ID sha256:41d4563c9eaa9f5bca5f99ba070ec9ae0f23329bfa1fa5d7952cd3594524ca7b
镜像TAG 3-test
大小 55.16GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/sh -c /start.sh
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /
OS/平台 linux/amd64
浏览量 9 次
贡献者 25*******5@qq.com
镜像创建 2025-09-26T04:21:01.874498464Z
同步时间 2025-10-13 02:26
更新时间 2025-10-13 03:40
开放端口
8000/tcp 8188/tcp
环境变量
ALIYUN_ENDPOINT=oss-eu-west-1.aliyuncs.com ALIYUN_BUCKET_NAME=englishbuckethaiwai COMFY_POLLING_MAX_RETRIES=40000 SERVE_API_LOCALLY=false ALIYUN_ACCESS_KEY_ID=LTAI5tFGaxfQwRExEJYRd2iz ALIYUN_ACCESS_KEY_SECRET=hRC8IpC12gZgEAR08CxejV03WL2MwI PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 NV_CUDA_CUDART_VERSION=12.4.127-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 CUDA_VERSION=12.4.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.4.1-1 NV_NVTX_VERSION=12.4.127-1 NV_LIBNPP_VERSION=12.2.5.30-1 NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 NV_LIBCUSPARSE_VERSION=12.3.1.170-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 NV_LIBCUBLAS_VERSION=12.4.5.8-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 NCCL_VERSION=2.21.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=9.1.0.70-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.1.0.70-1 DEBIAN_FRONTEND=noninteractive PIP_PREFER_BINARY=1 PYTHONUNBUFFERED=1 CUDA_HOME=/usr/local/cuda
镜像标签
e513d96055e1f4483c8ccae2af5629663353e092ba0c4f7f4c7ac9cb290dd19c: com.docker.compose.config-hash 1: com.docker.compose.container-number : com.docker.compose.depends_on sha256:8a02b43e5a6e6190b99add574a075a395a72dc04081158d6a4aa24357919f36b: com.docker.compose.image False: com.docker.compose.oneoff ubuntu: com.docker.compose.project /home/ubuntu/docker-compose.yml: com.docker.compose.project.config_files /home/ubuntu: com.docker.compose.project.working_dir comfyui-worker-1: com.docker.compose.replace comfyui-worker: com.docker.compose.service 2.39.4: com.docker.compose.version 9.1.0.70-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
无权限下载?点我修复 生成Docker Run命令 生成Kubernetes YAML资源

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test  docker.io/safiindeed/indextts2:3-test

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test  docker.io/safiindeed/indextts2:3-test

Shell快速替换命令 

sed -i 's#safiindeed/indextts2:3-test#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test#' 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/safiindeed/indextts2:3-test && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test  docker.io/safiindeed/indextts2:3-test'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/safiindeed/indextts2:3-test  docker.io/safiindeed/indextts2:3-test'

镜像构建历史 


# 2025-09-26 12:21:01  56.49KB 
/bin/sh -c /start.sh
                        
# 2025-09-26 12:07:16  3.64GB 
/bin/sh -c /start.sh
                        
# 2025-09-23 14:23:08  0.00B 设置默认要执行的命令
CMD ["/bin/sh" "-c" "/start.sh"]
                        
# 2025-09-23 14:23:08  732.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /start.sh # buildkit
                        
# 2025-09-23 14:23:08  16.33KB 复制文件或目录到容器中
ADD src/start.sh src/rp_handler.py ./ # buildkit
                        
# 2025-09-23 14:23:08  0.00B 设置工作目录为/
WORKDIR /
                        
# 2025-09-23 14:23:08  73.39KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/gwnnry.mp3 # buildkit
                        
# 2025-09-23 14:23:06  79.14KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/gwnrky.mp3 # buildkit
                        
# 2025-09-23 14:23:04  110.48KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/zmtnr.mp3 # buildkit
                        
# 2025-09-23 14:23:03  167.95KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/nrssbb.mp3 # buildkit
                        
# 2025-09-23 14:23:00  63.21KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/yjy.mp3 # buildkit
                        
# 2025-09-23 14:22:59  69.01KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/zmt.MP3 # buildkit
                        
# 2025-09-23 14:22:57  39.02KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/bdzcqp.mp3 # buildkit
                        
# 2025-09-23 14:22:56  171.09KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/dbnr.mp3 # buildkit
                        
# 2025-09-23 14:22:53  623.26KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/znnr.wav # buildkit
                        
# 2025-09-23 14:22:51  363.84KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/yynsw.wav # buildkit
                        
# 2025-09-23 14:22:49  269.07KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/yyns.wav # buildkit
                        
# 2025-09-23 14:22:47  415.64KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/yynnsw.wav # buildkit
                        
# 2025-09-23 14:22:45  309.56KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/yynns.wav # buildkit
                        
# 2025-09-23 14:22:43  361.57KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/ylnzb.wav # buildkit
                        
# 2025-09-23 14:22:41  342.01KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/xwns.wav # buildkit
                        
# 2025-09-23 14:22:39  297.60KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/xwnns.wav # buildkit
                        
# 2025-09-23 14:22:37  198.32KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/nxkf.wav # buildkit
                        
# 2025-09-23 14:22:35  295.08KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/nt.wav # buildkit
                        
# 2025-09-23 14:22:33  585.81KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/nnt.wav # buildkit
                        
# 2025-09-23 14:22:29  667.73KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/lyy.wav # buildkit
                        
# 2025-09-23 14:22:27  631.81KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/jjsn.wav # buildkit
                        
# 2025-09-23 14:22:24  494.76KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/gsns.wav # buildkit
                        
# 2025-09-23 14:22:21  680.01KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/ds.wav # buildkit
                        
# 2025-09-23 14:22:18  248.24KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/csnr.wav # buildkit
                        
# 2025-09-23 14:22:16  430.50KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/cgsn.wav # buildkit
                        
# 2025-09-23 14:22:15  814.81KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/bdzc.wav # buildkit
                        
# 2025-09-23 14:22:12  633.26KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://yinghuan-static.oss-cn-hangzhou.aliyuncs.com/voice/ajnw.wav # buildkit
                        
# 2025-09-23 14:22:08  0.00B 设置工作目录为/comfyui/input
WORKDIR /comfyui/input
                        
# 2025-09-23 14:22:08  0.00B 设置工作目录为/comfyui
WORKDIR /comfyui
                        
# 2025-09-23 14:22:08  2.91MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install accelerate # buildkit
                        
# 2025-09-23 14:22:05  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c pip install matplotlib # buildkit
                        
# 2025-09-23 14:22:03  16.38MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install oss2 # buildkit
                        
# 2025-09-23 14:21:57  120.42MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install runpod requests # buildkit
                        
# 2025-09-23 14:21:46  0.00B 设置工作目录为/comfyui
WORKDIR /comfyui
                        
# 2025-09-23 14:21:45  1.45GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -r requirements.txt # buildkit
                        
# 2025-09-23 14:21:15  0.00B 设置工作目录为/comfyui/custom_nodes/ComfyUI-Index-TTS
WORKDIR /comfyui/custom_nodes/ComfyUI-Index-TTS
                        
# 2025-09-23 14:21:15  7.11GB 执行命令并创建新的镜像层
RUN /bin/sh -c huggingface-cli download nvidia/bigvgan_v2_22khz_80band_256x --local-dir /comfyui/models/IndexTTS-2 --local-dir-use-symlinks False # buildkit
                        
# 2025-09-23 14:21:03  7.25GB 执行命令并创建新的镜像层
RUN /bin/sh -c huggingface-cli download facebook/w2v-bert-2.0 --local-dir /comfyui/models/IndexTTS-2/w2v-bert-2.0 --local-dir-use-symlinks False # buildkit
                        
# 2025-09-23 14:20:54  28.04MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget -P /comfyui/models/IndexTTS-2/  https://huggingface.co/funasr/campplus/resolve/main/campplus_cn_common.bin # buildkit
                        
# 2025-09-23 14:20:53  177.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget -P /comfyui/models/IndexTTS-2/semantic_codec/  https://huggingface.co/amphion/MaskGCT/resolve/main/semantic_codec/model.safetensors # buildkit
                        
# 2025-09-23 14:20:49  11.79GB 执行命令并创建新的镜像层
RUN /bin/sh -c huggingface-cli download IndexTeam/IndexTTS-2 --local-dir /comfyui/models/IndexTTS-2 --local-dir-use-symlinks False # buildkit
                        
# 2025-09-23 14:20:34  7.20GB 执行命令并创建新的镜像层
RUN /bin/sh -c huggingface-cli download IndexTeam/IndexTTS-1.5 --local-dir /comfyui/models/IndexTTS-1.5 --local-dir-use-symlinks False # buildkit
                        
# 2025-09-23 14:20:24  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir /comfyui/custom_nodes/ComfyUI-Index-TTS/w2v-bert-2.0 # buildkit
                        
# 2025-09-23 14:20:23  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir bigvgan # buildkit
                        
# 2025-09-23 14:20:23  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir IndexTTS-2 # buildkit
                        
# 2025-09-23 14:20:23  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir IndexTTS-1.5 # buildkit
                        
# 2025-09-23 14:20:23  0.00B 设置工作目录为/comfyui/models/
WORKDIR /comfyui/models/
                        
# 2025-09-23 14:20:23  150.00B 执行命令并创建新的镜像层
RUN /bin/sh -c git pull origin main # buildkit
                        
# 2025-09-23 14:20:23  0.00B 设置工作目录为/comfyui/custom_nodes/ComfyUI-Index-TTS
WORKDIR /comfyui/custom_nodes/ComfyUI-Index-TTS
                        
# 2025-09-23 14:20:23  162.32MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/chenpipi0807/ComfyUI-Index-TTS.git # buildkit
                        
# 2025-09-23 14:20:20  0.00B 设置工作目录为/comfyui/custom_nodes/
WORKDIR /comfyui/custom_nodes/
                        
# 2025-09-23 14:20:20  47.72KB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -U huggingface_hub # buildkit
                        
# 2025-09-23 14:20:19  11.38GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu124     && pip install -r requirements.txt # buildkit
                        
# 2025-09-23 14:18:35  144.00B 执行命令并创建新的镜像层
RUN /bin/sh -c git pull origin master # buildkit
                        
# 2025-09-23 14:18:35  0.00B 设置工作目录为/comfyui
WORKDIR /comfyui
                        
# 2025-09-23 14:18:35  224.88MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install transformers==4.55.4 # buildkit
                        
# 2025-09-23 14:18:23  101.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/comfyanonymous/ComfyUI.git /comfyui # buildkit
                        
# 2025-09-23 14:18:20  478.55MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y libgl1-mesa-glx && apt-get install -y ffmpeg # buildkit
                        
# 2025-09-23 14:18:00  95.64MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y     python3.10     python3-pip     git     wget # buildkit
                        
# 2025-09-23 14:18:00  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-09-23 14:18:00  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2025-09-23 14:18:00  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2025-09-23 14:18:00  0.00B 设置环境变量 PIP_PREFER_BINARY
ENV PIP_PREFER_BINARY=1
                        
# 2025-09-23 14:18:00  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-09-23 14:17:53  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c nvcc --version # buildkit
                        
# 2025-09-23 14:17:52  601.73MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y cuda-nvcc-12-4 # buildkit
                        
# 2024-04-23 08:07:03  1.02GB 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
                        
# 2024-04-23 08:07:03  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.1.0.70-1
                        
# 2024-04-23 08:07:03  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 08:07:03  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 08:07:03  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.1.0.70-1
                        
# 2024-04-23 08:07:03  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-04-23 08:07:03  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.1.0.70-1
                        
# 2024-04-23 07:46:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-23 07:46:26  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-23 07:46:26  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-23 07:46:26  263.02KB 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
                        
# 2024-04-23 07:46:26  2.05GB 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     cuda-libraries-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:46:26  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:46:26  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-23 07:42:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-04-23 07:42:28  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2024-04-23 07:42:28  155.93MB 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-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:42:16  10.57MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:16  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:42:16  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
                        
# 2024-04-23 07:42:16  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-04-11 02:52:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-11 02:52:04  77.86MB 
/bin/sh -c #(nop) ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in / 
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Author": "",
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        "AttachStdin": false,
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        "AttachStderr": true,
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            "8000/tcp": {},
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        "Tty": false,
        "OpenStdin": false,
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        "Env": [
            "ALIYUN_ENDPOINT=oss-eu-west-1.aliyuncs.com",
            "ALIYUN_BUCKET_NAME=englishbuckethaiwai",
            "COMFY_POLLING_MAX_RETRIES=40000",
            "SERVE_API_LOCALLY=false",
            "ALIYUN_ACCESS_KEY_ID=LTAI5tFGaxfQwRExEJYRd2iz",
            "ALIYUN_ACCESS_KEY_SECRET=hRC8IpC12gZgEAR08CxejV03WL2MwI",
            "PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
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            "NV_CUDA_CUDART_VERSION=12.4.127-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
            "CUDA_VERSION=12.4.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.1-1",
            "NV_NVTX_VERSION=12.4.127-1",
            "NV_LIBNPP_VERSION=12.2.5.30-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1",
            "NV_LIBCUSPARSE_VERSION=12.3.1.170-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
            "NV_LIBCUBLAS_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1",
            "NCCL_VERSION=2.21.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4",
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}

更多版本

docker.io/safiindeed/indextts2:3-test

linux/amd64 docker.io55.16GB2025-10-13 02:26
8