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120 lines
3.9 KiB
Python
120 lines
3.9 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: dict | None = {
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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/cli/bin/aimg", "imaginairy/cli/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="14.3.0",
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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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"weight_management/weight_maps/*.json",
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"data/*.*",
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"cli/bin/*.*",
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"http_app/stablestudio/dist/*.*",
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"http_app/stablestudio/dist/assets/*.*",
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"http_app/stablestudio/dist/LICENSE",
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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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"vendored/refiners/foundationals/clip/bpe_simple_vocab_16e6.txt.gz",
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]
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},
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install_requires=[
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"click>=8.0.0",
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"click-help-colors>=0.9.1",
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"click-shell>=2.0",
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"protobuf != 3.20.2, != 3.19.5",
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"fastapi>=0.70.0",
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"ftfy>=6.0.1", # for vendored clip
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"torch>=2.1.0",
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# https://numpy.org/neps/nep-0029-deprecation_policy.html
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"numpy>=1.22.0",
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"tqdm>=4.64.0",
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"diffusers>=0.3.0",
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"Pillow>=9.1.0",
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"psutil>5.7.3",
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"omegaconf>=2.1.1",
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"open-clip-torch>=2.0.0",
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"opencv-python>=4.4.0.46",
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# need to migration to 2.0
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"pydantic>=2.3.0",
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# pyparsing used for masking logic and creating text images
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"pyparsing>=3.0.0",
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"requests>=2.28.1",
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# "refiners>=0.2.0",
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"jaxtyping>=0.2.23", # refiners dependency
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"einops>=0.3.0",
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"safetensors>=0.4.0",
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"scipy>=1.8",
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"termcolor",
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"timm>=0.4.12,!=0.9.0,!=0.9.1", # for vendored blip
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"torchdiffeq>=0.2.0",
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"torchvision>=0.13.1",
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"transformers>=4.19.2",
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"triton>=2.0.0; sys_platform!='darwin' and platform_machine!='aarch64' and sys_platform == 'linux'",
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"kornia>=0.6",
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"uvicorn>=0.16.0",
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"spandrel>=0.1.8",
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# "xformers>=0.0.22; sys_platform!='darwin' and platform_machine!='aarch64'",
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],
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# don't specify maximum python versions as it can cause very long dependency resolution issues as the resolver
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# goes back to older versions of packages that didn't specify a maximum
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# https://discuss.python.org/t/requires-python-upper-limits/12663/75
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# https://github.com/brycedrennan/imaginAIry/pull/341#issuecomment-1574723908
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python_requires=">=3.10",
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)
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