Complete Kohya LoRA conversion for Qwen and Z-Image (#14080) #5631

Workflow file for this run

.github/workflows/push_tests.yml at 6d71b76

	name: Fast GPU Tests on main

	on:
	workflow_dispatch:
	push:
	branches:
	- main
	paths:
	- "src/diffusers/**.py"
	- "examples/**.py"
	- "tests/**.py"

	permissions:
	contents: read

	env:
	DIFFUSERS_IS_CI: yes
	OMP_NUM_THREADS: 8
	MKL_NUM_THREADS: 8
	HF_XET_HIGH_PERFORMANCE: 1
	PYTEST_TIMEOUT: 600
	PIPELINE_USAGE_CUTOFF: 50000
	# Force version overrides across every `uv pip install` in this workflow via UV_OVERRIDE:
	# - tokenizers<0.23.0, even when transformers@main declares a higher lower-bound.
	# - torch/torchvision/torchaudio pinned to the image's baked-in set so `-U` installs
	# (e.g. accelerate@main) can't bump torch and break torchvision's C++ ABI
	# (torchvision::nms). The pinned set is (re)written into the override file per job below.
	UV_OVERRIDE: /tmp/uv-overrides.txt

	jobs:
	setup_torch_cuda_pipeline_matrix:
	name: Setup Torch Pipelines CUDA Slow Tests Matrix
	runs-on:
	group: aws-general-8-plus
	container:
	image: diffusers/diffusers-pytorch-cpu
	outputs:
	pipeline_test_matrix: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v6
	with:
	fetch-depth: 2
	- name: Install dependencies
	run: \|
	printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
	uv pip install -e ".[quality]"
	- name: Environment
	run: \|
	diffusers-cli env
	- name: Fetch Pipeline Matrix
	id: fetch_pipeline_matrix
	run: \|
	matrix=$(python utils/fetch_torch_cuda_pipeline_test_matrix.py)
	echo $matrix
	echo "pipeline_test_matrix=$matrix" >> $GITHUB_OUTPUT
	- name: Pipeline Tests Artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v6
	with:
	name: test-pipelines.json
	path: reports

	torch_pipelines_cuda_tests:
	name: Torch Pipelines CUDA Tests
	needs: setup_torch_cuda_pipeline_matrix
	strategy:
	fail-fast: false
	max-parallel: 8
	matrix:
	module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --shm-size "16gb" --ipc host --gpus all
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v6
	with:
	fetch-depth: 2
	- name: NVIDIA-SMI
	run: \|
	nvidia-smi
	- name: Install dependencies
	run: \|
	printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
	uv pip install -e ".[quality]"
	uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
	uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
	- name: Environment
	run: \|
	diffusers-cli env
	- name: PyTorch CUDA checkpoint tests on Ubuntu
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
	CUBLAS_WORKSPACE_CONFIG: :16:8
	run: \|
	pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-k "not Flax and not Onnx" \
	--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
	tests/pipelines/${{ matrix.module }}
	- name: Failure short reports
	if: ${{ failure() }}
	run: \|
	cat reports/tests_pipeline_${{ matrix.module }}_cuda_stats.txt
	cat reports/tests_pipeline_${{ matrix.module }}_cuda_failures_short.txt
	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v6
	with:
	name: pipeline_${{ matrix.module }}_test_reports
	path: reports

	torch_cuda_tests:
	name: Torch CUDA Tests
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --shm-size "16gb" --ipc host --gpus all
	defaults:
	run:
	shell: bash
	strategy:
	fail-fast: false
	max-parallel: 2
	matrix:
	module: [models, schedulers, hooks, lora, others, single_file]
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v6
	with:
	fetch-depth: 2

	- name: Install dependencies
	run: \|
	printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
	uv pip install -e ".[quality]"
	uv pip install peft@git+https://github.com/huggingface/peft.git
	uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
	uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git

	- name: Environment
	run: \|
	diffusers-cli env

	- name: Run PyTorch CUDA tests
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
	CUBLAS_WORKSPACE_CONFIG: :16:8
	run: \|
	pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-k "not Flax and not Onnx" \
	--make-reports=tests_torch_cuda_${{ matrix.module }} \
	tests/${{ matrix.module }}

	- name: Failure short reports
	if: ${{ failure() }}
	run: \|
	cat reports/tests_torch_cuda_${{ matrix.module }}_stats.txt
	cat reports/tests_torch_cuda_${{ matrix.module }}_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v6
	with:
	name: torch_cuda_test_reports_${{ matrix.module }}
	path: reports

	run_torch_compile_tests:
	name: PyTorch Compile CUDA tests

	runs-on:
	group: aws-g4dn-2xlarge

	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --gpus all --shm-size "16gb" --ipc host

	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v6
	with:
	fetch-depth: 2

	- name: NVIDIA-SMI
	run: \|
	nvidia-smi
	- name: Install dependencies
	run: \|
	printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
	uv pip install -e ".[quality,training]"
	uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
	- name: Environment
	run: \|
	diffusers-cli env
	- name: Run example tests on GPU
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	RUN_COMPILE: yes
	run: \|
	pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "compile" --make-reports=tests_torch_compile_cuda tests/
	- name: Failure short reports
	if: ${{ failure() }}
	run: cat reports/tests_torch_compile_cuda_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v6
	with:
	name: torch_compile_test_reports
	path: reports

	run_xformers_tests:
	name: PyTorch xformers CUDA tests

	runs-on:
	group: aws-g4dn-2xlarge

	container:
	image: diffusers/diffusers-pytorch-xformers-cuda
	options: --gpus all --shm-size "16gb" --ipc host

	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v6
	with:
	fetch-depth: 2

	- name: NVIDIA-SMI
	run: \|
	nvidia-smi
	- name: Install dependencies
	run: \|
	printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
	uv pip install -e ".[quality,training]"
	- name: Environment
	run: \|
	diffusers-cli env
	- name: Run example tests on GPU
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	run: \|
	pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "xformers" --make-reports=tests_torch_xformers_cuda tests/
	- name: Failure short reports
	if: ${{ failure() }}
	run: cat reports/tests_torch_xformers_cuda_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v6
	with:
	name: torch_xformers_test_reports
	path: reports

	run_examples_tests:
	name: Examples PyTorch CUDA tests on Ubuntu

	runs-on:
	group: aws-g4dn-2xlarge

	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --gpus all --shm-size "16gb" --ipc host
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v6
	with:
	fetch-depth: 2

	- name: NVIDIA-SMI
	run: \|
	nvidia-smi
	- name: Install dependencies
	run: \|
	printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
	uv pip install -e ".[quality,training]"

	- name: Environment
	run: \|
	diffusers-cli env

	- name: Run example tests on GPU
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	run: \|
	uv pip install ".[training]"
	pytest -n 1 --max-worker-restart=0 --dist=loadfile --make-reports=examples_torch_cuda examples/

	- name: Failure short reports
	if: ${{ failure() }}
	run: \|
	cat reports/examples_torch_cuda_stats.txt
	cat reports/examples_torch_cuda_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v6
	with:
	name: examples_test_reports
	path: reports

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Complete Kohya LoRA conversion for Qwen and Z-Image (#14080) #5631

Workflow file

Complete Kohya LoRA conversion for Qwen and Z-Image (#14080) #5631

Uh oh!

Workflow file for this run