Running Stable Diffusion inference on Intel® Data Center GPU Flex Series using Intel® Extension for PyTorch*
This document has instructions for running Stable Diffusion inference using Intel® Extension for PyTorch on Intel® Flex Series GPU.
Item | Detail |
---|---|
Host machine | Intel® Data Center GPU Flex Series 170 |
Drivers | GPU-compatible drivers need to be installed: Download Driver |
Software | Docker* |
Script name | Description |
---|---|
run_model.sh |
Inference with batch size 1 on Flex series 170 |
Note
At the moment sample supports FP16 precision only (export PRECISION=fp16
).
docker pull intel/generative-ai:pytorch-flex-gpu-stable-diffusion-inference
The stable diffusion inference container includes scripts, model and libraries needed to run FP16 inference. To run the run_model.sh
quickstart script using this container, you will need to provide an output directory where log files will be written.
#Optional
export PRECISION=fp16
export BATCH_SIZE=<batch size otherwise (default: 1)>
#Required
export OUTPUT_DIR=<path to output directory>
export SCRIPT=run_model.sh
export MULTI_TILE=False
export PLATFORM=Flex
IMAGE_NAME=intel/generative-ai:pytorch-flex-gpu-stable-diffusion-inference
DOCKER_ARGS="--rm -it"
docker run \
--privileged \
--device=/dev/dri \
--ipc=host \
--env PRECISION=${PRECISION} \
--env OUTPUT_DIR=${OUTPUT_DIR} \
--env MULTI_TILE=${MULTI_TILE} \
--env PLATFORM=${PLATFORM} \
--env http_proxy=${http_proxy} \
--env https_proxy=${https_proxy} \
--env no_proxy=${no_proxy} \
--volume ${OUTPUT_DIR}:${OUTPUT_DIR} \
${DOCKER_ARGS} \
${IMAGE_NAME} \
/bin/bash $SCRIPT
Support for Intel® Extension for PyTorch* is found via the Intel® AI Analytics Toolkit. Additionally, the Intel® Extension for PyTorch* team tracks both bugs and enhancement requests using GitHub issues. Before submitting a suggestion or bug report, please search the GitHub issues to see if your issue has already been reported.
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