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107 lines
3.0 KiB
Python
107 lines
3.0 KiB
Python
import subprocess
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import sys
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from functools import lru_cache
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from setuptools import find_packages, setup
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is_for_windows = len(sys.argv) >= 3 and sys.argv[2].startswith("--plat-name=win")
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if is_for_windows:
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scripts = None
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entry_points = {
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"console_scripts": [
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"imagine=imaginairy.cli.main:imagine_cmd",
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"aimg=imaginairy.cli.main:aimg",
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],
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}
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else:
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scripts = ["imaginairy/bin/aimg", "imaginairy/bin/imagine"]
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entry_points = None
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@lru_cache()
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def get_git_revision_hash() -> str:
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try:
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return (
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subprocess.check_output(["git", "rev-parse", "HEAD"])
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.decode("ascii")
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.strip()
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)
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except FileNotFoundError:
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return "no-git"
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revision_hash = get_git_revision_hash()
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with open("README.md", encoding="utf-8") as f:
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readme = f.read()
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readme = readme.replace(
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'<img src="',
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f'<img src="https://raw.githubusercontent.com/brycedrennan/imaginAIry/{revision_hash}/',
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)
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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="12.0.3",
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description="AI imagined images. Pythonic generation of 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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scripts=scripts,
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entry_points=entry_points,
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package_data={
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"imaginairy": [
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"configs/*.yaml",
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"data/*.*",
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"bin/*.*",
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"enhancers/phraselists/*.txt",
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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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"vendored/noodle_soup_prompts/*.*",
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"vendored/noodle_soup_prompts/LICENSE",
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]
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},
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install_requires=[
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"click",
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"click-help-colors",
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"click-shell",
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"protobuf != 3.20.2, != 3.19.5",
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"facexlib",
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"fairscale>=0.4.4", # for vendored blip
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"fastapi",
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"ftfy", # for vendored clip
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# 2.0.0 produced garbage images on MacOS
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"torch>=1.13.1,<2.0.0",
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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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"psutil",
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# 2.0.0 need to fix `ImportError: cannot import name 'rank_zero_only' from 'pytorch_lightning.utilities.distributed' `
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"pytorch-lightning>=1.4.2,<2.0.0",
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"omegaconf>=2.1.1",
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"open-clip-torch",
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"opencv-python",
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"pydantic",
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"requests",
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"einops>=0.3.0",
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"safetensors",
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"timm>=0.4.12,!=0.9.0,!=0.9.1", # 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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"uvicorn",
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"xformers>=0.0.16; sys_platform!='darwin' and platform_machine!='aarch64'",
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],
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)
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