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Add LoRA support for Cosmos Predict 2.5 and fix pipeline to match official Cosmos repo #2988

Add LoRA support for Cosmos Predict 2.5 and fix pipeline to match official Cosmos repo

Add LoRA support for Cosmos Predict 2.5 and fix pipeline to match official Cosmos repo #2988

Workflow file for this run

name: Fast GPU Tests on PR
permissions:
contents: read
on:
pull_request:
branches: main
paths:
- "src/diffusers/models/modeling_utils.py"
- "src/diffusers/models/model_loading_utils.py"
- "src/diffusers/pipelines/pipeline_utils.py"
- "src/diffusers/pipeline_loading_utils.py"
- "src/diffusers/loaders/lora_base.py"
- "src/diffusers/loaders/lora_pipeline.py"
- "src/diffusers/loaders/peft.py"
- "tests/pipelines/test_pipelines_common.py"
- "tests/models/test_modeling_common.py"
- "examples/**/*.py"
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
env:
DIFFUSERS_IS_CI: yes
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
HF_XET_HIGH_PERFORMANCE: 1
PYTEST_TIMEOUT: 600
PIPELINE_USAGE_CUTOFF: 1000000000 # set high cutoff so that only always-test pipelines run
jobs:
check_code_quality:
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: "3.10"
- name: Install dependencies
run: |
pip install --upgrade pip
pip install .[quality]
- name: Check quality
run: make quality
- name: Check if failure
if: ${{ failure() }}
run: |
echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make style && make quality'" >> $GITHUB_STEP_SUMMARY
check_repository_consistency:
needs: check_code_quality
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: "3.10"
- name: Install dependencies
run: |
pip install --upgrade pip
pip install .[quality]
- name: Check repo consistency
run: |
python utils/check_copies.py
python utils/check_dummies.py
python utils/check_support_list.py
make deps_table_check_updated
- name: Check if failure
if: ${{ failure() }}
run: |
echo "Repo consistency check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make fix-copies'" >> $GITHUB_STEP_SUMMARY
setup_torch_cuda_pipeline_matrix:
needs: [check_code_quality, check_repository_consistency]
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: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: Install dependencies
run: |
uv pip install -e ".[quality]"
- name: Environment
run: |
python utils/print_env.py
- name: Fetch Pipeline Matrix
id: fetch_pipeline_matrix
run: |
matrix=$(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: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
runs-on:
group: aws-g4dn-2xlarge
container:
image: diffusers/diffusers-pytorch-cuda
options: --shm-size "16gb" --ipc host --gpus all
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Install dependencies
run: |
uv pip install -e ".[quality]"
uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
uv pip uninstall transformers huggingface_hub && uv pip install --prerelease allow -U transformers@git+https://github.com/huggingface/transformers.git
uv pip uninstall tokenizers && uv pip install "tokenizers<=0.23.0"
- name: Environment
run: |
python utils/print_env.py
- name: Extract tests
id: extract_tests
run: |
pattern=$(python utils/extract_tests_from_mixin.py --type pipeline)
echo "$pattern" > /tmp/test_pattern.txt
echo "pattern_file=/tmp/test_pattern.txt" >> $GITHUB_OUTPUT
- name: PyTorch CUDA checkpoint tests on Ubuntu
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
CUBLAS_WORKSPACE_CONFIG: :16:8
run: |
if [ "${{ matrix.module }}" = "ip_adapters" ]; then
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 }}
else
pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }})
pytest -n 1 --max-worker-restart=0 --dist=loadfile \
-k "not Flax and not Onnx and $pattern" \
--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
tests/pipelines/${{ matrix.module }}
fi
- 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
needs: [check_code_quality, check_repository_consistency]
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: 4
matrix:
module: [models, schedulers, lora, others]
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: Install dependencies
run: |
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 pip install --prerelease allow -U transformers@git+https://github.com/huggingface/transformers.git
uv pip uninstall tokenizers && uv pip install "tokenizers<=0.23.0"
- name: Environment
run: |
python utils/print_env.py
- name: Extract tests
id: extract_tests
run: |
pattern=$(python utils/extract_tests_from_mixin.py --type ${{ matrix.module }})
echo "$pattern" > /tmp/test_pattern.txt
echo "pattern_file=/tmp/test_pattern.txt" >> $GITHUB_OUTPUT
- name: Run PyTorch CUDA tests
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
CUBLAS_WORKSPACE_CONFIG: :16:8
run: |
pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }})
if [ -z "$pattern" ]; then
pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "not Flax and not Onnx" tests/${{ matrix.module }} \
--make-reports=tests_torch_cuda_${{ matrix.module }}
else
pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "not Flax and not Onnx and $pattern" tests/${{ matrix.module }} \
--make-reports=tests_torch_cuda_${{ matrix.module }}
fi
- 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_examples_tests:
name: Examples PyTorch CUDA tests on Ubuntu
needs: [check_code_quality, check_repository_consistency]
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: |
uv pip uninstall transformers huggingface_hub && uv pip install --prerelease allow -U transformers@git+https://github.com/huggingface/transformers.git
uv pip uninstall tokenizers && uv pip install "tokenizers<=0.23.0"
uv pip install -e ".[quality,training]"
- name: Environment
run: |
python utils/print_env.py
- 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