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Merge branch 'main' into feat/check-doc-listing
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‎.github/workflows/build_docker_images.yml‎

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id: file_changes
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uses: jitterbit/get-changed-files@v1
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with:
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format: 'space-delimited'
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format: "space-delimited"
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token: ${{ secrets.GITHUB_TOKEN }}
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- name: Build Changed Docker Images
@@ -67,6 +67,7 @@ jobs:
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- diffusers-pytorch-cuda
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- diffusers-pytorch-compile-cuda
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- diffusers-pytorch-xformers-cuda
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- diffusers-pytorch-minimum-cuda
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- diffusers-flax-cpu
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- diffusers-flax-tpu
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- diffusers-onnxruntime-cpu

‎.github/workflows/nightly_tests.yml‎

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@@ -235,7 +235,64 @@ jobs:
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run: |
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pip install slack_sdk tabulate
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python utils/log_reports.py >> $GITHUB_STEP_SUMMARY
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torch_minimum_version_cuda_tests:
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name: Torch Minimum Version CUDA Tests
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runs-on:
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group: aws-g4dn-2xlarge
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container:
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image: diffusers/diffusers-pytorch-minimum-cuda
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options: --shm-size "16gb" --ipc host --gpus 0
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defaults:
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run:
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shell: bash
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Install dependencies
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install peft@git+https://github.com/huggingface/peft.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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- name: Environment
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run: |
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python utils/print_env.py
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- name: Run PyTorch CUDA tests
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env:
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "not Flax and not Onnx" \
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--make-reports=tests_torch_minimum_version_cuda \
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tests/models/test_modeling_common.py \
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tests/pipelines/test_pipelines_common.py \
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tests/pipelines/test_pipeline_utils.py \
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tests/pipelines/test_pipelines.py \
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tests/pipelines/test_pipelines_auto.py \
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tests/schedulers/test_schedulers.py \
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tests/others
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- name: Failure short reports
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if: ${{ failure() }}
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run: |
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cat reports/tests_torch_minimum_version_cuda_stats.txt
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cat reports/tests_torch_minimum_version_cuda_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: torch_minimum_version_cuda_test_reports
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path: reports
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run_flax_tpu_tests:
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name: Nightly Flax TPU Tests
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runs-on:
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config:
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- backend: "bitsandbytes"
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test_location: "bnb"
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- backend: "gguf"
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test_location: "gguf"
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- backend: "torchao"
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test_location: "torchao"
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runs-on:
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group: aws-g6e-xlarge-plus
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container:
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# shell: arch -arch arm64 bash {0}
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# env:
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# HF_HOME: /System/Volumes/Data/mnt/cache
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# HF_TOKEN: ${{ secrets.HF_TOKEN }}
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# HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# run: |
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# ${CONDA_RUN} python -m pytest -n 1 -s -v --make-reports=tests_torch_mps \
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# --report-log=tests_torch_mps.log \
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# shell: arch -arch arm64 bash {0}
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# env:
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# HF_HOME: /System/Volumes/Data/mnt/cache
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# HF_TOKEN: ${{ secrets.HF_TOKEN }}
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# HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# run: |
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# ${CONDA_RUN} python -m pytest -n 1 -s -v --make-reports=tests_torch_mps \
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# --report-log=tests_torch_mps.log \

‎.github/workflows/pr_tests.yml‎

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# TODO (sayakpaul, DN6): revisit `--no-deps`
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python -m pip install -U peft@git+https://github.com/huggingface/peft.git --no-deps
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python -m uv pip install -U transformers@git+https://github.com/huggingface/transformers.git --no-deps
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python -m uv pip install -U tokenizers
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git --no-deps
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- name: Environment

‎.github/workflows/push_tests.yml‎

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python utils/print_env.py
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- name: PyTorch CUDA checkpoint tests on Ubuntu
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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- name: Run PyTorch CUDA tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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- name: Run Flax TPU tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m pytest -n 0 \
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-s -v -k "Flax" \
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- name: Run ONNXRuntime CUDA tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "Onnx" \
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python utils/print_env.py
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- name: Run example tests on GPU
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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RUN_COMPILE: yes
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "compile" --make-reports=tests_torch_compile_cuda tests/
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python utils/print_env.py
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- name: Run example tests on GPU
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "xformers" --make-reports=tests_torch_xformers_cuda tests/
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- name: Failure short reports
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- name: Run example tests on GPU
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install timm

‎.github/workflows/push_tests_mps.yml‎

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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python -m pip install --upgrade pip uv
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${CONDA_RUN} python -m uv pip install -e [quality,test]
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${CONDA_RUN} python -m uv pip install -e ".[quality,test]"
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${CONDA_RUN} python -m uv pip install torch torchvision torchaudio
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${CONDA_RUN} python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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${CONDA_RUN} python -m uv pip install transformers --upgrade

‎.github/workflows/pypi_publish.yaml‎

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- name: Test installing diffusers and importing
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run: |
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pip install diffusers && pip uninstall diffusers -y
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pip install -i https://testpypi.python.org/pypi diffusers
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pip install -i https://test.pypi.org/simple/ diffusers
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python -c "from diffusers import __version__; print(__version__)"
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python -c "from diffusers import DiffusionPipeline; pipe = DiffusionPipeline.from_pretrained('fusing/unet-ldm-dummy-update'); pipe()"
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python -c "from diffusers import DiffusionPipeline; pipe = DiffusionPipeline.from_pretrained('hf-internal-testing/tiny-stable-diffusion-pipe', safety_checker=None); pipe('ah suh du')"

‎.github/workflows/release_tests_fast.yml‎

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python utils/print_env.py
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- name: Slow PyTorch CUDA checkpoint tests on Ubuntu
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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- name: Run PyTorch CUDA tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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name: torch_cuda_${{ matrix.module }}_test_reports
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path: reports
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torch_minimum_version_cuda_tests:
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name: Torch Minimum Version CUDA Tests
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runs-on:
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group: aws-g4dn-2xlarge
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container:
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image: diffusers/diffusers-pytorch-minimum-cuda
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options: --shm-size "16gb" --ipc host --gpus 0
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defaults:
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run:
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shell: bash
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Install dependencies
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install peft@git+https://github.com/huggingface/peft.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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- name: Environment
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run: |
185+
python utils/print_env.py
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- name: Run PyTorch CUDA tests
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env:
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
193+
python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "not Flax and not Onnx" \
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--make-reports=tests_torch_minimum_cuda \
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tests/models/test_modeling_common.py \
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tests/pipelines/test_pipelines_common.py \
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tests/pipelines/test_pipeline_utils.py \
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tests/pipelines/test_pipelines.py \
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tests/pipelines/test_pipelines_auto.py \
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tests/schedulers/test_schedulers.py \
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tests/others
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- name: Failure short reports
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if: ${{ failure() }}
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run: |
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cat reports/tests_torch_minimum_version_cuda_stats.txt
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cat reports/tests_torch_minimum_version_cuda_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: torch_minimum_version_cuda_test_reports
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path: reports
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flax_tpu_tests:
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name: Flax TPU Tests
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runs-on: docker-tpu
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- name: Run slow Flax TPU tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m pytest -n 0 \
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-s -v -k "Flax" \
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- name: Run slow ONNXRuntime CUDA tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "Onnx" \
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python utils/print_env.py
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- name: Run example tests on GPU
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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RUN_COMPILE: yes
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run: |
286343
python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "compile" --make-reports=tests_torch_compile_cuda tests/
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python utils/print_env.py
324381
- name: Run example tests on GPU
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
328385
python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "xformers" --make-reports=tests_torch_xformers_cuda tests/
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- name: Failure short reports
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- name: Run example tests on GPU
371428
env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install timm

‎.github/workflows/trufflehog.yml‎

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fetch-depth: 0
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- name: Secret Scanning
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uses: trufflesecurity/trufflehog@main
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with:
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extra_args: --results=verified,unknown
18+

‎docker/diffusers-pytorch-minimum-cuda/Dockerfile‎

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1+
FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
2+
LABEL maintainer="Hugging Face"
3+
LABEL repository="diffusers"
4+
5+
ENV DEBIAN_FRONTEND=noninteractive
6+
ENV MINIMUM_SUPPORTED_TORCH_VERSION="2.1.0"
7+
ENV MINIMUM_SUPPORTED_TORCHVISION_VERSION="0.16.0"
8+
ENV MINIMUM_SUPPORTED_TORCHAUDIO_VERSION="2.1.0"
9+
10+
RUN apt-get -y update \
11+
&& apt-get install -y software-properties-common \
12+
&& add-apt-repository ppa:deadsnakes/ppa
13+
14+
RUN apt install -y bash \
15+
build-essential \
16+
git \
17+
git-lfs \
18+
curl \
19+
ca-certificates \
20+
libsndfile1-dev \
21+
libgl1 \
22+
python3.10 \
23+
python3.10-dev \
24+
python3-pip \
25+
python3.10-venv && \
26+
rm -rf /var/lib/apt/lists
27+
28+
# make sure to use venv
29+
RUN python3.10 -m venv /opt/venv
30+
ENV PATH="/opt/venv/bin:$PATH"
31+
32+
# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
33+
RUN python3.10 -m pip install --no-cache-dir --upgrade pip uv==0.1.11 && \
34+
python3.10 -m uv pip install --no-cache-dir \
35+
torch==$MINIMUM_SUPPORTED_TORCH_VERSION \
36+
torchvision==$MINIMUM_SUPPORTED_TORCHVISION_VERSION \
37+
torchaudio==$MINIMUM_SUPPORTED_TORCHAUDIO_VERSION \
38+
invisible_watermark && \
39+
python3.10 -m pip install --no-cache-dir \
40+
accelerate \
41+
datasets \
42+
hf-doc-builder \
43+
huggingface-hub \
44+
hf_transfer \
45+
Jinja2 \
46+
librosa \
47+
numpy==1.26.4 \
48+
scipy \
49+
tensorboard \
50+
transformers \
51+
hf_transfer
52+
53+
CMD ["/bin/bash"]

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