imaginAIry/setup.py

107 lines
3.0 KiB
Python

import subprocess
import sys
from functools import lru_cache
from setuptools import find_packages, setup
is_for_windows = len(sys.argv) >= 3 and sys.argv[2].startswith("--plat-name=win")
if is_for_windows:
scripts = None
entry_points = {
"console_scripts": [
"imagine=imaginairy.cli.main:imagine_cmd",
"aimg=imaginairy.cli.main:aimg",
],
}
else:
scripts = ["imaginairy/bin/aimg", "imaginairy/bin/imagine"]
entry_points = None
@lru_cache()
def get_git_revision_hash() -> str:
try:
return (
subprocess.check_output(["git", "rev-parse", "HEAD"])
.decode("ascii")
.strip()
)
except FileNotFoundError:
return "no-git"
revision_hash = get_git_revision_hash()
with open("README.md", encoding="utf-8") as f:
readme = f.read()
readme = readme.replace(
'<img src="',
f'<img src="https://raw.githubusercontent.com/brycedrennan/imaginAIry/{revision_hash}/',
)
setup(
name="imaginAIry",
author="Bryce Drennan",
# author_email="b r y p y d o t io",
version="12.0.3",
description="AI imagined images. Pythonic generation of images.",
long_description=readme,
long_description_content_type="text/markdown",
project_urls={
"Documentation": "https://github.com/brycedrennan/imaginAIry/blob/master/README.md",
"Source": "https://github.com/brycedrennan/imaginAIry",
},
packages=find_packages(include=("imaginairy", "imaginairy.*")),
scripts=scripts,
entry_points=entry_points,
package_data={
"imaginairy": [
"configs/*.yaml",
"data/*.*",
"bin/*.*",
"enhancers/phraselists/*.txt",
"vendored/clip/*.txt.gz",
"vendored/clipseg/*.pth",
"vendored/blip/configs/*.*",
"vendored/noodle_soup_prompts/*.*",
"vendored/noodle_soup_prompts/LICENSE",
]
},
install_requires=[
"click",
"click-help-colors",
"click-shell",
"protobuf != 3.20.2, != 3.19.5",
"facexlib",
"fairscale>=0.4.4", # for vendored blip
"fastapi",
"ftfy", # for vendored clip
# 2.0.0 produced garbage images on MacOS
"torch>=1.13.1,<2.0.0",
"numpy",
"tqdm",
"diffusers",
"imageio>=2.9.0",
"Pillow>=9.1.0",
"psutil",
# 2.0.0 need to fix `ImportError: cannot import name 'rank_zero_only' from 'pytorch_lightning.utilities.distributed' `
"pytorch-lightning>=1.4.2,<2.0.0",
"omegaconf>=2.1.1",
"open-clip-torch",
"opencv-python",
"pydantic",
"requests",
"einops>=0.3.0",
"safetensors",
"timm>=0.4.12,!=0.9.0,!=0.9.1", # for vendored blip
"torchdiffeq",
"transformers>=4.19.2",
"torchmetrics>=0.6.0",
"torchvision>=0.13.1",
"kornia>=0.6",
"uvicorn",
"xformers>=0.0.16; sys_platform!='darwin' and platform_machine!='aarch64'",
],
)