Spaces:
Running
on
T4
Running
on
T4
File size: 3,725 Bytes
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# Use an official PyTorch image with CUDA support as the base image
FROM pytorch/pytorch:1.9.0-cuda11.1-cudnn8-runtime
# Install Git and OpenGL libraries, and libglib2.0
RUN apt-get update && apt-get install -y git libgl1-mesa-glx libglib2.0-0
# Install necessary dependencies, including CMake
RUN apt-get update && apt-get install -y unzip ffmpeg cmake
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONPATH=$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, TorchVision
RUN pip install torch==1.9.0 torchvision==0.10.0
# Install dependencies
RUN pip install --no-cache-dir -r requirements.txt
USER root
# Update package lists and install aria2 without sudo
RUN apt-get update && apt-get install -y aria2
USER user
# 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
RUN find $HOME/app
# 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", "webUI.py"] |