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‎LICENSE

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Apache License
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‎pyproject.toml

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[tool.black]
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line-length = 119
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target-version = ['py36']

‎setup.cfg

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[isort]
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default_section = FIRSTPARTY
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ensure_newline_before_comments = True
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force_grid_wrap = 0
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include_trailing_comma = True
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known_first_party = accelerate
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known_third_party =
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numpy
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torch
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torch_xla
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line_length = 119
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lines_after_imports = 2
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multi_line_output = 3
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use_parentheses = True
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[flake8]
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ignore = E203, E722, E501, E741, W503, W605
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max-line-length = 119

‎setup.py

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# Copyright 2021 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from setuptools import setup
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from setuptools import find_packages
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extras = {}
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extras["quality"] = ["black ~= 22.0", "isort >= 5.5.4", "flake8 >= 3.8.3"]
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extras["docs"] = []
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extras["test"] = [
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"pytest",
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"pytest-xdist",
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"pytest-subtests",
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"datasets",
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"transformers",
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]
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extras["dev"] = extras["quality"] + extras["test"]
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extras["sagemaker"] = [
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"sagemaker", # boto3 is a required package in sagemaker
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]
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setup(
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name="diffusers",
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version="0.0.1",
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description="Diffusers",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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keywords="deep learning",
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license="Apache",
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author="The HuggingFace team",
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author_email="[email protected]",
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url="https://github.com/huggingface/diffusers",
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package_dir={"": "src"},
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packages=find_packages("src"),
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python_requires=">=3.6.0",
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install_requires=["numpy>=1.17", "packaging>=20.0", "pyyaml", "torch>=1.4.0"],
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extras_require=extras,
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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)
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# Release checklist
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# 1. Change the version in __init__.py and setup.py.
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# 2. Commit these changes with the message: "Release: VERSION"
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# 3. Add a tag in git to mark the release: "git tag VERSION -m 'Adds tag VERSION for pypi' "
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# Push the tag to git: git push --tags origin main
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# 4. Run the following commands in the top-level directory:
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# python setup.py bdist_wheel
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# python setup.py sdist
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# 5. Upload the package to the pypi test server first:
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# twine upload dist/* -r pypitest
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# twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
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# 6. Check that you can install it in a virtualenv by running:
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# pip install -i https://testpypi.python.org/pypi diffusers
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# diffusers env
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# diffusers test
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# 7. Upload the final version to actual pypi:
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# twine upload dist/* -r pypi
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# 8. Add release notes to the tag in github once everything is looking hunky-dory.
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# 9. Update the version in __init__.py, setup.py to the new version "-dev" and push to master

‎src/diffusers.egg-info/PKG-INFO

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Metadata-Version: 2.1
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Name: diffusers
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Version: 0.0.1
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Summary: Diffusers
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Home-page: https://github.com/huggingface/diffusers
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Author: The HuggingFace team
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Author-email: [email protected]
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License: Apache
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Keywords: deep learning
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Education
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Requires-Python: >=3.6.0
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Description-Content-Type: text/markdown
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Provides-Extra: quality
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Provides-Extra: docs
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Provides-Extra: test
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Provides-Extra: dev
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Provides-Extra: sagemaker
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License-File: LICENSE
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Super cool library about diffusion models

‎src/diffusers.egg-info/SOURCES.txt

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LICENSE
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README.md
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pyproject.toml
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setup.cfg
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setup.py
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src/diffusers/__init__.py
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src/diffusers.egg-info/PKG-INFO
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src/diffusers.egg-info/SOURCES.txt
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src/diffusers.egg-info/dependency_links.txt
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src/diffusers.egg-info/requires.txt
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src/diffusers.egg-info/top_level.txt
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src/diffusers/models/__init__.py
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src/diffusers/models/unet.py
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src/diffusers/samplers/__init__.py

‎src/diffusers.egg-info/dependency_links.txt

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‎src/diffusers.egg-info/requires.txt

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numpy>=1.17
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packaging>=20.0
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pyyaml
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torch>=1.4.0
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[dev]
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black~=22.0
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isort>=5.5.4
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flake8>=3.8.3
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pytest
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pytest-xdist
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pytest-subtests
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datasets
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transformers
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[docs]
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[quality]
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black~=22.0
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isort>=5.5.4
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flake8>=3.8.3
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[sagemaker]
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sagemaker
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[test]
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pytest
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pytest-xdist
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pytest-subtests
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datasets
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transformers

‎src/diffusers.egg-info/top_level.txt

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diffusers

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