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pyproject.toml
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61 lines (56 loc) · 1.43 KB
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[project]
name = "prx"
version = "0.1.0"
description = "PRX – image generation training framework"
requires-python = ">=3.11"
license = "Apache-2.0"
authors = [
{ name = "Photoroom" },
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.4",
"torchvision",
"transformers>=4.52",
"accelerate",
"diffusers",
"torchmetrics[image]",
"mosaicml",
"wandb>=0.19",
"numpy",
"tqdm",
"einops",
"omegaconf",
"hydra-core",
"ftfy",
"Pillow",
"pyyaml",
"muon-fsdp2",
]
[project.optional-dependencies]
streaming = ["mosaicml-streaming"]
lpips = ["lpips"]
dev = ["pytest", "pytest-mock"]
all = ["prx[streaming,lpips,dev]"]
[project.urls]
Repository = "https://github.com/Photoroom/prx"
[tool.pytest.ini_options]
markers = [
"unit: fast unit tests (no GPU, no model downloads)",
"integration: integration tests (may download models)",
"gpu: tests requiring CUDA GPU",
]
testpaths = ["tests"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"