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Running
on
T4
# Use an official PyTorch image with CUDA support as the base image | |
FROM pytorch/pytorch:1.9.0-cuda11.1-cudnn8-devel | |
# Add NVIDIA CUDA GPG key | |
# Add NVIDIA CUDA GPG key using a different key server | |
RUN apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key A4B469963BF863CC | |
# Install Git and system libraries required for OpenGL without interactive prompts | |
ENV DEBIAN_FRONTEND=noninteractive | |
# Install Git, OpenGL libraries, and libglib2.0 | |
RUN apt-get update && apt-get install -y git libgl1-mesa-glx libglib2.0-0 | |
RUN apt-get update && apt-get install -y ninja-build | |
# Install necessary dependencies, including CMake, a C++ compiler, and others | |
RUN apt-get update && apt-get install -y unzip ffmpeg cmake g++ build-essential aria2 | |
# Set up a new user named "user" with user ID 1000 | |
RUN useradd -m -u 1000 user | |
# Switch to the "user" user | |
USER user | |
# Set environment variables | |
ENV HOME=/home/user \ | |
CUDA_HOME=/usr/local/cuda \ | |
PATH=/home/user/.local/bin:$PATH \ | |
LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH} \ | |
LIBRARY_PATH=${CUDA_HOME}/lib64/stubs:${LIBRARY_PATH} \ | |
PYTHONPATH=$HOME/app \ | |
PYTHONUNBUFFERED=1 \ | |
GRADIO_ALLOW_FLAGGING=never \ | |
GRADIO_NUM_PORTS=1 \ | |
GRADIO_SERVER_NAME=0.0.0.0 \ | |
GRADIO_THEME=huggingface \ | |
GRADIO_SHARE=False \ | |
SYSTEM=spaces | |
# Set the working directory to the user's home directory | |
WORKDIR $HOME/app | |
# Clone your repository or add your code to the container | |
RUN git clone -b main https://github.com/fffiloni/video-retalking $HOME/app | |
# Install specific versions of PyTorch and TorchVision | |
RUN pip install torchvision==0.10.0 | |
# Install dependencies | |
#COPY requirements.txt $HOME/app/requirements.txt | |
RUN pip install --no-cache-dir -r requirements.txt gradio==3.7.0 opencv-python scipy | |
# Download checkpoint files using aria2 | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/30_net_gen.pth -d $HOME/app/checkpoints -o 30_net_gen.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/BFM.zip -d $HOME/app/checkpoints -o BFM.zip | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/DNet.pt -d $HOME/app/checkpoints -o DNet.pt | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/ENet.pth -d $HOME/app/checkpoints -o ENet.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/GFPGANv1.3.pth -d $HOME/app/checkpoints -o GFPGANv1.3.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/GPEN-BFR-512.pth -d $HOME/app/checkpoints -o GPEN-BFR-512.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/LNet.pth -d $HOME/app/checkpoints -o LNet.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/ParseNet-latest.pth -d $HOME/app/checkpoints -o ParseNet-latest.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/RetinaFace-R50.pth -d $HOME/app/checkpoints -o RetinaFace-R50.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/expression.mat -d $HOME/app/checkpoints -o expression.mat | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/face3d_pretrain_epoch_20.pth -d $HOME/app/checkpoints -o face3d_pretrain_epoch_20.pth | |
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/shape_predictor_68_face_landmarks.dat -d $HOME/app/checkpoints -o shape_predictor_68_face_landmarks.dat | |
RUN unzip -d $HOME/app/checkpoints/BFM $HOME/app/checkpoints/BFM.zip | |
# Ensure the compiled CUDA code can be found | |
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH} | |
# Update package lists and install other dependencies as needed | |
# Ensure that CUDA components are correctly installed and configured | |
# Install any other required packages | |
# Set the environment variable to specify the GPU device | |
ENV CUDA_DEVICE_ORDER=PCI_BUS_ID | |
ENV CUDA_VISIBLE_DEVICES=0 | |
# Run your app.py script | |
CMD ["python", "app.py"] |