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: dict | None = {
"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
@lru_cache
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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="14.0.0b5",
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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",
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"weight_management/maps/*.json",
"data/*.*",
"bin/*.*",
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"http_app/stablestudio/dist/*.*",
"http_app/stablestudio/dist/assets/*.*",
"http_app/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>=8.0.0",
"click-help-colors>=0.9.1",
"click-shell>=2.0",
"protobuf != 3.20.2, != 3.19.5",
"facexlib>=0.2.1.1",
"fairscale>=0.4.4", # for vendored blip
"fastapi>=0.70.0",
"ftfy>=6.0.1", # for vendored clip
# 2.0.0 produced garbage images on macOS
"torch>=2.1.0",
# https://numpy.org/neps/nep-0029-deprecation_policy.html
"numpy>=1.19.0,<1.26.0",
"tqdm>=4.64.0",
"diffusers>=0.3.0",
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"imageio>=2.9.0",
"Pillow>=9.1.0",
"psutil>5.7.3",
# 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>=2.0.0",
"opencv-python>=4.4.0.46",
# need to migration to 2.0
"pydantic>=2.3.0",
"requests>=2.28.1",
"refiners>=0.2.0",
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"einops>=0.3.0",
"safetensors>=0.2.1",
# scipy is a sub dependency but v1.11 doesn't support python 3.8. https://docs.scipy.org/doc/scipy/dev/toolchain.html#numpy
"scipy<1.11",
"timm>=0.4.12,!=0.9.0,!=0.9.1", # for vendored blip
"torchdiffeq>=0.2.0",
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"torchmetrics>=0.6.0",
"torchvision>=0.13.1",
"transformers>=4.19.2",
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"triton>=2.0.0; sys_platform!='darwin' and platform_machine!='aarch64'",
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"kornia>=0.6",
"uvicorn>=0.16.0",
# "xformers>=0.0.22; sys_platform!='darwin' and platform_machine!='aarch64'",
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],
# don't specify maximum python versions as it can cause very long dependency resolution issues as the resolver
# goes back to older versions of packages that didn't specify a maximum
# https://discuss.python.org/t/requires-python-upper-limits/12663/75
# https://github.com/brycedrennan/imaginAIry/pull/341#issuecomment-1574723908
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python_requires=">=3.10",
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)