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services:
  sdnext-ipex:
    build:
      dockerfile: Dockerfile
    image: liutyi/sdnext-ipex:latest25.9.1-igpu
    container_name: sdnext-ipex
    restart: unless-stopped
    devices:
      - /dev/dri:/dev/dri
#      - /dev/accel:/dev/accel
    environment:
      - HF_DEBUG=True

    ports:
      - 7860:7860
    volumes:
      - /docker/sdnext/app-volume:/app
      - /docker/sdnext/mnt-volume:/mnt
      - /docker/sdnext/huggingfacehf-volume:/root/.cache/huggingface
      - /docker/sdnext/python-volume:/usr/local/lib/python3.10
#     - /dev/shm:/dev/shm

Dockerfile

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Code Block

# SD.Next IPEX Dockerfile
# docs: <https://github.com/vladmandic/sdnext/wiki/Docker>

# base image
FROM ubuntu:noble

# metadata
LABEL org.opencontainers.image.vendor="SD.Next"
LABEL org.opencontainers.image.authors="disty0liutyi"
LABEL org.opencontainers.image.url="https://github.com/vladmandicliutyi/sdnext/"
LABEL org.opencontainers.image.documentation="https://github.com/vladmandic/sdnext/wiki/Docker"
LABEL org.opencontainers.image.source="https://github.com/vladmandic/sdnext/"
LABEL org.opencontainers.image.licenses="AGPL-3.0"
LABEL org.opencontainers.image.title="SD.Next IPEX"
LABEL org.opencontainers.image.description="SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models"
LABEL org.opencontainers.image.base.name="https://hub.docker.com/_/ubuntu:noble"
LABEL org.opencontainers.image.version="latest25.9.0"

# essentials
RUN apt-get update && \
    apt-get install -y --no-install-recommends --fix-missing \
    software-properties-common \
    build-essential \
    ca-certificates \
    wget \
    gpg \
    git

# python3.12
RUN apt-get install -y --no-install-recommends --fix-missing \
    libgomp1 \
    python3 \
    python3-dev libtbb12

# NPU
RUN wget https://github.com/intel/linux-npu-driver/releases/download/v1.23.0/linux-npu-driver-v1.23.0.20250827-17270089246-ubuntu2404.tar.gz &&\
    python3tar -venv \
    python3-pip

# Install Python 3.13 from the deadsnakes PPA
#RUN add-apt-repository ppa:deadsnakes/ppa && \
#    apt-get update && \
#    apt-get install -y python3.13 python3.13-dev python3-pip python3-venv

# intel compute runtime
RUN https_proxy=http://proxy.example.com:18080/ wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
RUN echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu noble client" | tee /etc/apt/sources.list.d/intel-gpu-noble.list
RUN https_proxy=http://proxy.example.com:18080/ apt-get update

RUN https_proxy=http://proxy.example.com:18080/xf linux-npu-driver-v1.23.0.20250827-17270089246-ubuntu2404.tar.gz &&\
    dpkg -i *.deb &&\
    rm -f linux-npu-driver-v1.23.0.20250827-17270089246-ubuntu2404.tar.gz intel-*

# required by pytorch / ipex
RUN apt-get install -y --no-install-recommends --fix-missing \
    intel-opencl-icdlibgl1 \
    libze-intel-gpu1 \
    libze1

# required by pytorch / ipex
RUN https_proxy=http://proxy.example.com:18080/ libglib2.0-0

# python3.12
RUN apt-get install -y --no-install-recommends --fix-missing \
    libgl1python3 \
    libglib2.0python3-0dev \
    libgomp1

# jemalloc is not required but it is highly recommended (also used with optional ipexrun)
RUN https_proxy=http://proxy.example.com:18080/python3-venv \
    python3-pip

# intel compute runtime
RUN add-apt-repository ppa:kobuk-team/intel-graphics
RUN apt-get update

RUN apt-get install -y --no-install-recommends --fix-missing libjemalloc-dev
ENV LD_PRELOAD=libjemalloc.so.2 \
    intel-opencl-icd \
    libze-intel-gpu1 \
    libze1

# cleanup
RUN /usr/sbin/ldconfig
RUN https_proxy=http://proxy.example.com:18080/ apt-get clean && rm -rf /var/lib/apt/lists/*
# stop pip and uv from caching
ENV PIP_NO_CACHE_DIR=true
ENV UV_NO_CACHE=true/*

# set paths to use with sdnext
ENV SD_DOCKER=true
ENV SD_VAE_DEBUG=true
ENV SD_DATADIR="/mnt/data"
ENV SD_MODELSDIR="/mnt/models"
ENV venv_dir="/mnt/python/venv"

# paths used by sdnext can be a volume if necessary
#VOLUME [ "/app" ]
#VOLUME [ "/mnt/data" ]
#VOLUME [ "/mnt/models" ]
#VOLUME [ "/mnt/python" ]
#VOLUME [ "/root/.cache/huggingface" ]

# intel specific environment variables
/venv"
ENV IPEX_SDPA_SLICE_TRIGGER_RATE=1
ENV IPEX_ATTENTION_SLICE_RATE=0.5
ENV IPEX_FORCE_ATTENTION_SLICE=-1
ENV IPEXRUN=True

# git clone and run sdnext
# RUN echo '#!/bin/bash\ngit status || git clone https://github.com/vladmandic/sdnext.git -b dev .\n/app/webui.sh "$@"' | tee /bin/startup.sh
RUN chmod 755 echo '#!/bin/startup.sh

# actually run sdnext
WORKDIR /app
ENTRYPOINT [ "startup.sh", "-f", "--use-ipex", "--uv", "--listen", "--insecure", "--share", "--server-name sdnext.example.com", "--update", "--debug", "--api-log", "--log", "sdnext.log" ]
#ENTRYPOINTbash\ngit status || git clone https://github.com/liutyi/sdnext.git -b ipex .\n/app/webui.sh "$@"' | tee /bin/startup.sh
RUN chmod 755 /bin/startup.sh

# actually run sdnext
WORKDIR /app
ENTRYPOINT [ "startup.sh", "-f", "--use-ipex", "--uv", "--listen", "--debuginsecure", "--api-log", "--log", "sdnext.log" ]

# expose port
EXPOSE 7860

# healthcheck function
#HEALTHCHECK --interval=60s --timeout=10s --start-period=60s --retries=3 CMD curl --fail http://localhost:7860/sdapi/v1/status || exit 1

# stop signal
STOPSIGNAL SIGINT

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Code Block

{
  "sd_model_checkpoint": "Diffusers/imnotednamode/Chroma-v36-dc-diffusers [38ce7ce7f3]",
  "outdir_txt2img_samples": "/mnt/data/outputs/text",
  "outdir_img2img_samples": "/mnt/data/outputs/image",
  "outdir_control_samples": "/mnt/data/outputs/control",
  "outdir_extras_samples": "/mnt/data/outputs/extras",
  "outdir_save": "/mnt/data/outputs/save",
  "outdir_video": "/mnt/data/outputs/video",
  "outdir_init_images": "/mnt/data/outputs/init-images",
  "outdir_txt2img_grids": "/mnt/data/outputs/grids",
  "outdir_img2img_grids": "/mnt/data/outputs/grids",
  "outdir_control_grids": "/mnt/data/outputs/grids",
  "diffusers_version": "8adc6003ba4dbf5b61bb4f1ce571e9e55e145a99",
  "sd_checkpoint_hash": null,
  "huggingface_token": "hf_PUT-HERE-YOUR-HuggingFace-Token",
  "samples_filename_pattern": "[seq]-[date]-[model_name]-[heightwidth]x[widthheight]-STEP[steps]-CFG[cfg]-Seed[seed]"
}

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