Intel ARC

IPEX and Intel GPUs

Install Guide for Windows

Preparations

• Install Intel ARC Drivers
• Install Git and Python

Running SD.Next on Windows

Open CMD in the folder where you want to install SD.Next, then run:

git clone https://github.com/vladmandic/sdnext
```bash

Then enter the `sdnext` folder:  

```shell
cd sdnext

Then start SD.Next with:

.\webui.bat --use-ipex

Note

It will install the necessary libraries at the first run so it will take a while depending on your internet.

Install Guide for Linux or WSL

Install Guide for Ubuntu Linux or Ubuntu with WSL

Following Ubuntu instructions are for Ubuntu 24.04.
Install the base packages:

sudo apt update && sudo apt install -y software-properties-common build-essential ca-certificates wget gpg git

Add the package lists for Intel Level Zero Drivers:

wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | sudo gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu noble client" | sudo tee /etc/apt/sources.list.d/intel-gpu-noble.list
sudo apt update

Install the Intel Level Zero Drivers and the packages needed for PyTorch:

sudo apt install -y intel-opencl-icd libze-intel-gpu1 libze1 libgl1 libglib2.0-0 libgomp1

Install Guide for Arch Linux

Install the necessary packages for Arch Linux:

sudo pacman -S intel-compute-runtime level-zero-headers level-zero-loader base-devel git python-pip python-virtualenv

Install Python 3.12 (or anything between 3.10 and 3.13):

git clone https://aur.archlinux.org/python312.git
cd python312
makepkg -si
cd ..
export PYTHON=python3.12

Running SD.Next on Linux

Open a terminal in the folder where you want to install SD.Next, then run:

git clone https://github.com/vladmandic/sdnext
```bash

Then enter the `sdnext` folder:  

```shell
cd sdnext

Then start SD.Next with:

./webui.sh --use-ipex

Note

It will install the necessary libraries at the first run so it will take a while depending on your internet.

Running SD.Next with Docker

Check out the Docker wiki if you want to build a custom Docker image.

Using Docker with a prebuilt image:

export SDNEXT_DOCKER_ROOT_FOLDER=~/sdnext
sudo docker run -it \
  --name sdnext-ipex \
  --device /dev/dri \
  -p 7860:7860 \
  -v $SDNEXT_DOCKER_ROOT_FOLDER/app:/app \
  -v $SDNEXT_DOCKER_ROOT_FOLDER/python:/mnt/python \
  -v $SDNEXT_DOCKER_ROOT_FOLDER/data:/mnt/data \
  -v $SDNEXT_DOCKER_ROOT_FOLDER/models:/mnt/models \
  -v $SDNEXT_DOCKER_ROOT_FOLDER/huggingface:/root/.cache/huggingface \
  disty0/sdnext-ipex:latest

Note

It will install the necessary libraries at the first run so it will take a while depending on your internet.
Resulting docker image will use 1.1 GB disk space (uncompressed) for the docker image and 8 GB for the venv.

Environment Variables

• IPEX_SDPA_SLICE_TRIGGER_RATE: Trigger threshold for dynamic attention slicing in SDPA on Intel ARC, in GB. Default: 1.

• IPEX_ATTENTION_SLICE_RATE: Dynamic attention slicing rate for 32-bit GPUs, in GB. Default: 0.5.

• IPEX_FORCE_ATTENTION_SLICE: Enables or disables dynamic attention slicing. Default: 0.

  • 1 will force enable dynamic attention slicing even if the GPU supports 64 bit.
  • -1 will force disable dynamic attention slicing even if the GPU doesn't support 64 bit.
  • 0 will automatically enable or disable dynamic attention based on the GPU.

• IPEXRUN: Launches the web UI with ipexrun when set to True. Default: unset.