imaginAIry/setup.py

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import subprocess
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")
if is_for_windows:
scripts = None
entry_points = {
"console_scripts": [
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"imagine=imaginairy.cli.main:imagine_cmd",
"aimg=imaginairy.cli.main:aimg",
],
}
else:
scripts = ["imaginairy/bin/aimg", "imaginairy/bin/imagine"]
entry_points = None
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@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"
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revision_hash = get_git_revision_hash()
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with open("README.md", encoding="utf-8") as f:
readme = f.read()
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readme = readme.replace(
'<img src="',
f'<img src="https://raw.githubusercontent.com/brycedrennan/imaginAIry/{revision_hash}/',
)
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setup(
name="imaginAIry",
author="Bryce Drennan",
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# author_email="b r y p y d o t io",
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version="13.0.1",
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description="AI imagined images. Pythonic generation of images.",
long_description=readme,
long_description_content_type="text/markdown",
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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/*.*",
"http/stablestudio/dist/*.*",
"http/stablestudio/dist/assets/*.*",
"http/stablestudio/dist/LICENSE",
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"enhancers/phraselists/*.txt",
"vendored/clip/*.txt.gz",
"vendored/clipseg/*.pth",
"vendored/blip/configs/*.*",
feature: prompt expansion (#51) You can use `{}` to randomly pull values from lists. A list of values separated by `|` and enclosed in `{ }` will be randomly drawn from in a non-repeating fashion. Values that are surrounded by `_ _` will pull from a phrase list of the same name. Folders containing .txt phraselist files may be specified via `--prompt_library_path`. The option may be specified multiple times. Built-in categories: 3d-term, adj-architecture, adj-beauty, adj-detailed, adj-emotion, adj-general, adj-horror, animal, art-movement, art-site, artist, artist-botanical, artist-surreal, aspect-ratio, bird, body-of-water, body-pose, camera-brand, camera-model, color, cosmic-galaxy, cosmic-nebula, cosmic-star, cosmic-term, dinosaur, eyecolor, f-stop, fantasy-creature, fantasy-setting, fish, flower, focal-length, food, fruit, games, gen-modifier, hair, hd, iso-stop, landscape-type, national-park, nationality, neg-weight, noun-beauty, noun-fantasy, noun-general, noun-horror, occupation, photo-term, pop-culture, pop-location, punk-style, quantity, rpg-item, scenario-desc, skin-color, spaceship, style, tree-species, trippy, world-heritage-site Examples: `imagine "a {red|black} dog" -r 2 --seed 0` will generate both "a red dog" and "a black dog" `imagine "a {_color_} dog" -r 4 --seed 0` will generate four, different colored dogs. The colors will eb pulled from an included phraselist of colors. `imagine "a {_spaceship_|_fruit_|hot air balloon}. low-poly" -r 4 --seed 0` will generate images of spaceships or fruits or a hot air balloon Credit to [noodle-soup-prompts](https://github.com/WASasquatch/noodle-soup-prompts/) where most, but not all, of the wordlists originate.
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"vendored/noodle_soup_prompts/*.*",
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"vendored/noodle_soup_prompts/LICENSE",
]
},
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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",
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"diffusers",
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"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",
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"omegaconf>=2.1.1",
"open-clip-torch",
"opencv-python",
"pydantic",
"requests",
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"einops>=0.3.0",
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"safetensors",
"timm>=0.4.12,!=0.9.0,!=0.9.1", # for vendored blip
"torchdiffeq",
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"transformers>=4.19.2",
"torchmetrics>=0.6.0",
"torchvision>=0.13.1",
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"kornia>=0.6",
"uvicorn",
"xformers>=0.0.16; sys_platform!='darwin' and platform_machine!='aarch64'",
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],
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# torchvision doesn't support python 3.11 unless we switch to torch 2.0
python_requires="<3.11",
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)