cogvideo (083df4ccb374b0e6338f723a1e7ac618fe1a1519)

Published 2026-04-05 09:49:27 +08:00 by kstenhouse

Pull the image from the command line:

docker pull git.flexiblyrigid.au/kstenhouse/cogvideo:083df4ccb374b0e6338f723a1e7ac618fe1a1519

Digest

sha256:725840f4962aca111a3e0b7cc592e4a6140eb6521c621c6ac09b5a1309aadd5a

For more information on the Container registry, see the documentation.

ARG RELEASE

ARG LAUNCHPAD_BUILD_ARCH

LABEL org.opencontainers.image.ref.name=ubuntu

LABEL org.opencontainers.image.version=22.04

ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /

CMD ["/bin/bash"]

ENV NVARCH=x86_64

ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 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

ENV NV_CUDA_CUDART_VERSION=11.8.89-1

ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8

ARG TARGETARCH

LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>

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_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit

ENV CUDA_VERSION=11.8.0

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit

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

ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64

COPY NGC-DL-CONTAINER-LICENSE / # buildkit

ENV NVIDIA_VISIBLE_DEVICES=all

ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility

ENV NV_CUDA_LIB_VERSION=11.8.0-1

ENV NV_NVTX_VERSION=11.8.86-1

ENV NV_LIBNPP_VERSION=11.8.0.86-1

ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1

ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1

ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8

ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1

ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1

ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2

ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1

ENV NCCL_VERSION=2.15.5-1

ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8

ARG TARGETARCH

LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit

COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit

COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit

ENV NVIDIA_PRODUCT_NAME=CUDA

ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]

ENV NV_CUDNN_VERSION=8.9.6.50

ENV NV_CUDNN_PACKAGE_NAME=libcudnn8

ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8

ARG TARGETARCH

LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>

LABEL com.nvidia.cudnn.version=8.9.6.50

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

USER root

RUN /bin/sh -c apt-get update && apt-get install -y git wget curl python3 python3-pip python3-venv libgl1 libglib2.0-0 ffmpeg && rm -rf /var/lib/apt/lists/* # buildkit

RUN /bin/sh -c useradd -m -u 1000 cogvideo # buildkit

WORKDIR /app

RUN /bin/sh -c git clone https://github.com/THUDM/CogVideo.git . && chown -R cogvideo:cogvideo /app # buildkit

USER cogvideo

ENV PATH=/home/cogvideo/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

RUN /bin/sh -c python3 -m venv /home/cogvideo/venv # buildkit

RUN /bin/sh -c pip install --upgrade pip # buildkit

RUN /bin/sh -c pip install --no-cache-dir torch==2.1.2+cu118 torchvision==0.16.2+cu118 torchaudio==2.1.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118 # buildkit

RUN /bin/sh -c if [ -f inference/requirements.txt ]; then grep -v -E "^torch|^torchvision|^torchaudio" inference/requirements.txt > inference/requirements_filtered.txt && pip install --no-cache-dir -r inference/requirements_filtered.txt; fi # buildkit

ARG CACHEBUST=1

RUN |1 CACHEBUST=1 /bin/sh -c echo "$CACHEBUST" && pip install --no-cache-dir "numpy==1.26.4" "diffusers==0.30.3" "transformers==4.38.2" "accelerate==0.21.0" "imageio[ffmpeg]" "sentencepiece" "openai" "moviepy" gradio # buildkit

EXPOSE [7862/tcp]

CMD ["python3" "inference/gradio_web_demo.py" "--host" "0.0.0.0" "--port" "7862"]

Key	Value
com.nvidia.cudnn.version	8.9.6.50
maintainer	NVIDIA CORPORATION <cudatools@nvidia.com>
org.opencontainers.image.ref.name	ubuntu
org.opencontainers.image.version	22.04