init

Dockerfile

@@ -0,0 +1,42 @@
+FROM nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04
+
+ARG DEBIAN_FRONTEND=noninteractive
+
+ENV PYTHONUNBUFFERED=1
+
+RUN apt-get update && apt-get install --no-install-recommends -y \
+  build-essential \
+  python3.10 \
+  python3-pip \
+  git \
+  ffmpeg \
+  && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+# 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 home to the user's home directory
+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 \
+	SYSTEM=spaces
+
+RUN pip3 install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+CMD ["python3", "app.py"]

app.py

@@ -38,6 +38,8 @@ output_dir_frame = "./outputs/frames"
 ensure_dirname(output_dir_video)
 ensure_dirname(output_dir_frame)
 
+os.system('nvcc -V')
+
 
 def divide_points_afterinterpolate(resized_all_points, motion_brush_mask):
     k = resized_all_points.shape[0]

requirements.txt

@@ -3,14 +3,13 @@ gradio==4.5.0
 opencv-python
 opencv-python-headless
 scikit-image
---extra-index-url https://download.pytorch.org/whl/cu113
-torch
-torchvision
+torch==2.0.1
+torchvision==0.15.2
 einops
 accelerate==0.30.1
 transformers==4.41.1
 colorlog
-cupy-cuda113
+cupy-cuda117
 av
 gpustat