mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-11-17 09:25:47 +00:00
57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
from setuptools import find_packages, setup
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with open("README.md", "r", encoding="utf-8") as f:
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readme = f.read()
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setup(
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name="imaginAIry",
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author="Bryce Drennan",
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# author_email="b r y p y d o t io",
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version="1.5.4",
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description="AI imagined images. Pythonic generation of stable diffusion images.",
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long_description=readme,
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long_description_content_type="text/markdown",
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project_urls={
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"Documentation": "https://github.com/brycedrennan/imaginAIry/blob/master/README.md",
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"Source": "https://github.com/brycedrennan/imaginAIry",
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},
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packages=find_packages(include=("imaginairy", "imaginairy.*")),
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entry_points={
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"console_scripts": [
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"imagine=imaginairy.cmds:imagine_cmd",
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"aimg=imaginairy.cmds:aimg",
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],
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},
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package_data={
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"imaginairy": [
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"configs/*.yaml",
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"vendored/clip/*.txt.gz",
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"vendored/clipseg/*.pth",
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"vendored/blip/configs/*.*",
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]
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},
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install_requires=[
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"click",
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"protobuf != 3.20.2, != 3.19.5",
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"fairscale>=0.4.4", # for vendored blip
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"ftfy", # for vendored clip
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"torch>=1.2.0",
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"numpy",
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"tqdm",
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"diffusers",
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"imageio==2.9.0",
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"Pillow>=8.0.0",
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"pytorch-lightning==1.4.2",
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"omegaconf==2.1.1",
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"einops==0.3.0",
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"timm>=0.4.12", # for vendored blip
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"torchdiffeq",
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"transformers==4.19.2",
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"torchmetrics==0.6.0",
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"torchvision>=0.13.1",
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"kornia==0.6",
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"realesrgan",
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"gfpgan>=1.3.7",
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],
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)
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