Create Dockerfile

Dockerfile

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+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Set the MKL_THREADING_LAYER environment variable to GNU
+ENV MKL_THREADING_LAYER=GNU
+
+# 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 espeak-ng 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/Blizaine/AniPortrait $HOME/app
+
+# Install dependencies
+#COPY requirements.txt $HOME/app/requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Download checkpoint files using aria2
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/AniPortrait/resolve/main/audio2mesh.pt -d $HOME/app/pretrained_model -o audio2mesh.pt
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/AniPortrait/resolve/main/denoising_unet.pth -d $HOME/app/pretrained_model -o denoising_unet.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/AniPortrait/resolve/main/motion_module.pth -d $HOME/app/pretrained_model -o motion_module.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/AniPortrait/resolve/main/pose_guider.pth -d $HOME/app/pretrained_model -o pose_guider.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/AniPortrait/resolve/main/reference_unet.pth -d $HOME/app/pretrained_model -o reference_unet.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/denoising_unet.pth -d $HOME/app/pretrained_model -o denoising_unet.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/guidance_encoder_depth.pth -d $HOME/app/pretrained_model -o guidance_encoder_depth.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/guidance_encoder_dwpose.pth -d $HOME/app/pretrained_model -o guidance_encoder_dwpose.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/guidance_encoder_normal.pth -d $HOME/app/pretrained_model -o guidance_encoder_normal.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/guidance_encoder_semantic_map.pth -d $HOME/app/pretrained_model -o guidance_encoder_semantic_map.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/motion_module.pth -d $HOME/app/pretrained_model -o motion_module.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/champ/reference_unet.pth -d $HOME/app/pretrained_model -o reference_unet.pth
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/raw/main/image_encoder/config.json -d $HOME/app/pretrained_model/image_encoder -o config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/image_encoder/pytorch_model.bin -d $HOME/app/pretrained_model/image_encoder -o pytorch_model.bin
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/raw/main/sd-vae-ft-mse/config.json -d $HOME/app/pretrained_model/sd-vae-ft-mse -o config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/sd-vae-ft-mse/diffusion_pytorch_model.bin -d $HOME/app/pretrained_model/sd-vae-ft-mse -o diffusion_pytorch_model.bin
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/raw/main/stable-diffusion-v1-5/feature_extractor/preprocessor_config.json -d $HOME/app/pretrained_model/stable-diffusion-v1-5/feature_extractor -o preprocessor_config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/raw/main/stable-diffusion-v1-5/model_index.json -d $HOME/app/pretrained_model/stable-diffusion-v1-5 -o model_index.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/raw/main/stable-diffusion-v1-5/unet/config.json -d $HOME/app/pretrained_model/stable-diffusion-v1-5/unet -o config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/resolve/main/stable-diffusion-v1-5/unet/diffusion_pytorch_model.bin -d $HOME/app/pretrained_model/stable-diffusion-v1-5/unet -o diffusion_pytorch_model.bin
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/champ/raw/main/stable-diffusion-v1-5/v1-inference.yaml -d $HOME/app/pretrained_model/stable-diffusion-v1-5 -o v1-inference.yaml
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/raw/main/config.json -d $HOME/app/pretrained_model/wav2vec2-base-960h -o config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/raw/main/feature_extractor_config.json -d $HOME/app/pretrained_model/wav2vec2-base-960h -o feature_extractor_config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/raw/main/preprocessor_config.json -d $HOME/app/pretrained_model/wav2vec2-base-960h -o preprocessor_config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/resolve/main/pytorch_model.bin -d $HOME/app/pretrained_model/wav2vec2-base-960h -o pytorch_model.bin
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/raw/main/special_tokens_map.json -d $HOME/app/pretrained_model/wav2vec2-base-960h -o special_tokens_map.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/resolve/main/tf_model.h5 -d $HOME/app/pretrained_model/wav2vec2-base-960h -o tf_model.h5
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/raw/main/tokenizer_config.json -d $HOME/app/pretrained_model/wav2vec2-base-960h -o tokenizer_config.json
+RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/facebook/wav2vec2-base-960h/raw/main/vocab.json -d $HOME/app/pretrained_model/wav2vec2-base-960h -o vocab.json
+
+
+# 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"]