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ComfyUI-ARM64-Docker/comfyui-cuda-dockerfile
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# Get cuda version from https://hub.docker.com/r/nvidia/cuda
FROM nvcr.io/nvidia/pytorch:26.04-py3 AS build-deps
# Set ENV
ENV PIP_BREAK_SYSTEM_PACKAGES=1
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive
ENV USE_CUDA=1
ENV BUILD_SOX=1
# Install system packages to build torchaudio
RUN apt update && \
apt upgrade -y && \
apt install -y \
libavformat-dev \
libavcodec-dev \
libavutil-dev \
libavdevice-dev \
libavfilter-dev \
libswresample-dev \
sox \
libsox-dev
# 2. Clone and build the torchaudio stable
RUN wget https://github.com/pytorch/audio/archive/refs/tags/v2.11.0.tar.gz && \
tar -xf v2.11.0.tar.gz && \
cd audio-2.11.0 && \
pip install --no-build-isolation --no-deps -v .
# Set working directory
WORKDIR /app
# Clone ComfyUI
RUN git clone https://github.com/comfyanonymous/ComfyUI.git .
# Install depencies
RUN grep -vE "^(torch|#)" requirements.txt | xargs pip install && \
pip install torchsde imageio controlnet_aux
# Set custom Nodes
WORKDIR /app/custom_nodes
# Install ComfyUi Manager
RUN git clone https://github.com/Comfy-Org/ComfyUI-Manager.git
# Go back to root
WORKDIR /app
# Expose the default ComfyUI port
EXPOSE 8188
# Launch ComfyUI
CMD ["python3", "main.py", "--listen", "0.0.0.0"]