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.github/workflows/nightly_tests.yml

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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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python -m uv pip install pytest-reportlog
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- name: Environment
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run: |
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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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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python -m uv pip install pytest-reportlog
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- name: Environment
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run: python utils/print_env.py
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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python -m uv pip install pytest-reportlog
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- name: Environment
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.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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python -m uv pip install pytest-reportlog
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- name: Environment
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run: python utils/print_env.py
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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: ${{ matrix.config.report }}_test_reports
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name: tests_onnx_cuda_reports
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path: reports
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- name: Generate Report and Notify Channel

.github/workflows/pr_test_peft_backend.yml

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if [ "${{ matrix.lib-versions }}" == "main" ]; then
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python -m pip install -U peft@git+https://github.com/huggingface/peft.git
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python -m uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
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python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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else
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python -m uv pip install -U peft transformers accelerate
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fi
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m pytest -n 4 --max-worker-restart=0 --dist=loadfile \
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-s -v \
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--make-reports=tests_${{ matrix.config.report }} \
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--make-reports=tests_${{ matrix.lib-versions }} \
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tests/lora/
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python -m pytest -n 4 --max-worker-restart=0 --dist=loadfile \
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-s -v \
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--make-reports=tests_models_lora_${{ matrix.config.report }} \
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--make-reports=tests_models_lora_${{ matrix.lib-versions }} \
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tests/models/ -k "lora"
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- name: Failure short reports
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if: ${{ failure() }}
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run: |
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cat reports/tests_${{ matrix.config.report }}_failures_short.txt
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cat reports/tests_models_lora_${{ matrix.config.report }}_failures_short.txt
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cat reports/tests_${{ matrix.lib-versions }}_failures_short.txt
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cat reports/tests_models_lora_${{ matrix.lib-versions }}_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: pr_${{ matrix.config.report }}_test_reports
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name: pr_${{ matrix.lib-versions }}_test_reports
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path: reports

.github/workflows/pr_tests.yml

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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: pr_${{ matrix.config.report }}_test_reports
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name: pr_${{ matrix.config.framework }}_${{ matrix.config.report }}_test_reports
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path: reports
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run_staging_tests:

.github/workflows/push_tests.yml

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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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- name: Environment
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python utils/print_env.py
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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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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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_cuda \
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--make-reports=tests_torch_cuda_${{ matrix.module }} \
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tests/${{ matrix.module }}
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- name: Failure short reports
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if: ${{ failure() }}
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cat reports/tests_torch_cuda_stats.txt
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cat reports/tests_torch_cuda_failures_short.txt
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cat reports/tests_torch_cuda_${{ matrix.module }}_stats.txt
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cat reports/tests_torch_cuda_${{ matrix.module }}_failures_short.txt
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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name: torch_cuda_test_reports
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name: torch_cuda_test_reports_${{ matrix.module }}
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.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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.github/workflows/release_tests_fast.yml

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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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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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--make-reports=tests_torch_cuda \
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--make-reports=tests_torch_${{ matrix.module }}_cuda \
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tests/${{ matrix.module }}
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cat reports/tests_torch_cuda_stats.txt
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cat reports/tests_torch_cuda_failures_short.txt
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cat reports/tests_torch_${{ matrix.module }}_cuda_stats.txt
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cat reports/tests_torch_${{ matrix.module }}_cuda_failures_short.txt
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name: torch_cuda_${{ matrix.module }}_test_reports
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.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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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 accelerate@git+https://github.com/huggingface/accelerate.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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.github/workflows/ssh-runner.yml

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workflow_dispatch:
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inputs:
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runner_type:
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description: 'Type of runner to test (a10 or t4)'
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description: 'Type of runner to test (aws-g6-4xlarge-plus: a10 or aws-g4dn-2xlarge: t4)'
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type: choice
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required: true
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options:
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- aws-g6-4xlarge-plus
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- aws-g4dn-2xlarge
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docker_image:
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required: true

PHILOSOPHY.md

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The following design principles are followed:
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- Pipelines follow the single-file policy. All pipelines can be found in individual directories under src/diffusers/pipelines. One pipeline folder corresponds to one diffusion paper/project/release. Multiple pipeline files can be gathered in one pipeline folder, as it’s done for [`src/diffusers/pipelines/stable-diffusion`](https://github.com/huggingface/diffusers/tree/main/src/diffusers/pipelines/stable_diffusion). If pipelines share similar functionality, one can make use of the [# Copied from mechanism](https://github.com/huggingface/diffusers/blob/125d783076e5bd9785beb05367a2d2566843a271/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py#L251).
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- Pipelines all inherit from [`DiffusionPipeline`].
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- Every pipeline consists of different model and scheduler components, that are documented in the [`model_index.json` file](https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/model_index.json), are accessible under the same name as attributes of the pipeline and can be shared between pipelines with [`DiffusionPipeline.components`](https://huggingface.co/docs/diffusers/main/en/api/diffusion_pipeline#diffusers.DiffusionPipeline.components) function.
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- Every pipeline consists of different model and scheduler components, that are documented in the [`model_index.json` file](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/blob/main/model_index.json), are accessible under the same name as attributes of the pipeline and can be shared between pipelines with [`DiffusionPipeline.components`](https://huggingface.co/docs/diffusers/main/en/api/diffusion_pipeline#diffusers.DiffusionPipeline.components) function.
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- Every pipeline should be loadable via the [`DiffusionPipeline.from_pretrained`](https://huggingface.co/docs/diffusers/main/en/api/diffusion_pipeline#diffusers.DiffusionPipeline.from_pretrained) function.
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- Pipelines should be used **only** for inference.
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- Pipelines should be very readable, self-explanatory, and easy to tweak.

README.md

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from diffusers import DiffusionPipeline
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import torch
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pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
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pipeline = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16)
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pipeline.to("cuda")
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pipeline("An image of a squirrel in Picasso style").images[0]
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```
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<tr style="border-top: 2px solid black">
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<td>Text-to-Image</td>
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<td><a href="https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/text2img">Stable Diffusion Text-to-Image</a></td>
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<td><a href="https://huggingface.co/runwayml/stable-diffusion-v1-5"> runwayml/stable-diffusion-v1-5 </a></td>
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<td><a href="https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5"> stable-diffusion-v1-5/stable-diffusion-v1-5 </a></td>
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<tr>
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<td>Text-guided Image-to-Image</td>
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<td><a href="https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/img2img">Stable Diffusion Image-to-Image</a></td>
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<td><a href="https://huggingface.co/runwayml/stable-diffusion-v1-5"> runwayml/stable-diffusion-v1-5 </a></td>
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<td><a href="https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5"> stable-diffusion-v1-5/stable-diffusion-v1-5 </a></td>
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<td>Text-guided Image Inpainting</td>

docs/source/en/api/loaders/single_file.md

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## Supported pipelines
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- [`CogVideoXPipeline`]
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- [`StableDiffusionPipeline`]
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- [`StableDiffusionImg2ImgPipeline`]
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- [`StableDiffusionInpaintPipeline`]
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- [`UNet2DConditionModel`]
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- [`StableCascadeUNet`]
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- [`AutoencoderKL`]
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- [`AutoencoderKLCogVideoX`]
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- [`ControlNetModel`]
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- [`SD3Transformer2DModel`]
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- [`FluxTransformer2DModel`]

docs/source/en/api/models/controlnet.md

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url = "https://huggingface.co/lllyasviel/ControlNet-v1-1/blob/main/control_v11p_sd15_canny.pth" # can also be a local path
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controlnet = ControlNetModel.from_single_file(url)
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url = "https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned.safetensors" # can also be a local path
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url = "https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/blob/main/v1-5-pruned.safetensors" # can also be a local path
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pipe = StableDiffusionControlNetPipeline.from_single_file(url, controlnet=controlnet)
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```
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