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# Base image with CUDA 12.4
FROM nvidia/cuda:12.4.1-base-ubuntu22.04
# Install pip if not already installed
RUN apt-get update -y && apt-get install -y \
python3-pip \
python3-dev \
git \
build-essential # Install dependencies for building extensions
# Define environment variables for UID and GID and local timezone
ENV PUID=${PUID:-1000}
ENV PGID=${PGID:-1000}
# Create a group with the specified GID
RUN groupadd -g "${PGID}" appuser
# Create a user with the specified UID and GID
RUN useradd -m -s /bin/sh -u "${PUID}" -g "${PGID}" appuser
WORKDIR /app
# Get sd-scripts from kohya-ss and install them
RUN git clone -b sd3 https://github.com/kohya-ss/sd-scripts && \
cd sd-scripts && \
pip install --no-cache-dir -r ./requirements.txt
# Install main application dependencies
COPY ./requirements.txt ./requirements.txt
RUN pip install --no-cache-dir -r ./requirements.txt
# Install Torch, Torchvision, and Torchaudio for CUDA 12.4
RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
RUN chown -R appuser:appuser /app
# delete redundant requirements.txt and sd-scripts directory within the container
RUN rm -r ./sd-scripts
RUN rm ./requirements.txt
#Run application as non-root
USER appuser
# Copy fluxgym application code
COPY . ./fluxgym
EXPOSE 7860
ENV GRADIO_SERVER_NAME="0.0.0.0"
WORKDIR /app/fluxgym
# Run fluxgym Python application
CMD ["python3", "./app.py"] |