[advanced dreambooth lora sdxl training script] load pipeline for inference only if validation prompt is used #3600

	name: Fast tests for PRs - PEFT backend

	on:
	pull_request:
	branches:
	- main

	concurrency:
	group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }}
	cancel-in-progress: true

	env:
	DIFFUSERS_IS_CI: yes
	OMP_NUM_THREADS: 4
	MKL_NUM_THREADS: 4
	PYTEST_TIMEOUT: 60

	jobs:
	run_fast_tests:
	strategy:
	fail-fast: false
	matrix:
	lib-versions: ["main", "latest"]


	name: LoRA - ${{ matrix.lib-versions }}

	runs-on: docker-cpu

	container:
	image: diffusers/diffusers-pytorch-cpu
	options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/

	defaults:
	run:
	shell: bash

	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2

	- name: Install dependencies
	run: \|
	apt-get update && apt-get install libsndfile1-dev libgl1 -y
	python -m pip install -e .[quality,test]
	if [ "${{ matrix.lib-versions }}" == "main" ]; then
	python -m pip install -U git+https://github.com/huggingface/peft.git
	python -m pip install -U git+https://github.com/huggingface/transformers.git
	python -m pip install -U git+https://github.com/huggingface/accelerate.git
	else
	python -m pip install -U peft transformers accelerate
	fi

	- name: Environment
	run: \|
	python utils/print_env.py

	- name: Run fast PyTorch LoRA CPU tests with PEFT backend
	run: \|
	python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
	-s -v \
	--make-reports=tests_${{ matrix.config.report }} \
	tests/lora/test_lora_layers_peft.py

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