diffusers-workflow/pyproject.toml at master · dkackman/diffusers-workflow · GitHub

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[build-system]
requires = ["setuptools>=84.0.0"]
build-backend = "setuptools.build_meta"

[project]
name = "diffusers-workflow"
# The single source of the version: dw.__version__ reads it from here at
# runtime (static in TOML because importing dw at build time would drag
# torch into the build environment). Release tags must match it - see
# docs/RELEASING.md
version = "0.4.0-beta.3"
description = "Declarative workflow engine and web UI for Hugging Face Diffusers"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "Apache-2.0" }
authors = [{ name = "dkackman" }]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
]
# The single source of dependencies: the wheel, requirements.txt (a pointer
# to here), install.sh, and CI all resolve this list. Torch ships CPU-only
# from PyPI on Linux - a CUDA build comes from pytorch.org's own index and
# must be installed first (install.sh does; see requirements.txt).
# Version floors track the environment the project is developed and tested
# on (see docs/DEPENDENCIES.md) - refresh them from a working venv rather
# than editing ad hoc:  python scripts/refresh_dep_floors.py
dependencies = [
    # Core ML frameworks
    "torch>=2.13.0",
    "torchvision>=0.28.0",
    # Diffusers and the HuggingFace ecosystem. The floor is the newest
    # PyPI release; the newest pipelines may need git HEAD on top, which
    # install.sh layers on (and the web UI's Models page can install)
    "diffusers>=0.40.0",
    "transformers>=5.16.1",
    "accelerate>=1.14.0",
    "peft>=0.20.0",
    "safetensors>=0.8.0",
    "huggingface-hub>=1.29.0",
    # Loaded at runtime by model tokenizers/text encoders, not imported here
    "sentencepiece>=0.2.2",
    "protobuf>=7.36.0",
    "ftfy>=6.3.1",
    # SDE schedulers
    "torchsde>=0.2.6",
    # Quantization backends (config_objects.py loads them dynamically)
    "torchao>=0.18.0",
    "optimum-quanto>=0.2.7",
    "sdnq>=0.2.5",
    "gguf>=0.19.0",
    "bitsandbytes>=0.50.2; sys_platform == 'linux'",
    # ControlNet preprocessors (brings opencv-headless, scikit-image,
    # scipy, timm) and pipelines that want kornia
    "controlnet-aux>=0.0.10",
    "opencv-python-headless>=5.0.0.93",
    "kornia>=0.8.3",
    # Upscaling and face restoration tasks
    "spandrel>=0.4.2",
    "facexlib>=0.3.0",
    # Imaging and media
    "numpy>=2.5.2",
    "Pillow>=12.3.0",
    "piexif>=1.1.3",
    "imageio>=2.37.4",
    "imageio-ffmpeg>=0.6.0",
    "av>=18.1.0",
    "soundfile>=0.14.0",
    "matplotlib>=3.11.1",
    # Utilities
    "qrcode>=8.2",
    "requests>=2.34.2",
    "aiohttp>=3.14.3",
    "beautifulsoup4>=4.15.0",
    "jsonschema>=4.26.0",
    "concurrent-log-handler>=0.9.29",
    "python-dotenv>=1.2.3",
    "packaging>=26.3",
]

[project.optional-dependencies]
server = ["fastapi>=0.141.1", "uvicorn[standard]>=0.52.4"]
mcp = ["mcp>=2.1.1", "httpx>=0.28.1"]
dev = [
    "pytest>=9.1.1",
    "pytest-cov>=7.1.0",
    "pytest-xdist>=3.8.0",
    "pytest-timeout>=2.4.0",
    "pytest-mock>=3.15.1",
    "pytest-asyncio>=1.4.0",
    "httpx>=0.28.1",
    "black>=26.5.1",
    "build",
    "mcp>=2.1.1",
]

[project.urls]
Homepage = "https://github.com/dkackman/diffusers-workflow"

[project.scripts]
dw-run = "dw.run:main"
dw-validate = "dw.validate:main"
dw-repl = "dw.repl:main"
dw-serve = "dw.serve:main"
dw-test = "dw.test:main"
dw-mcp = "dw_mcp.__main__:main"

[tool.black]
target-version = ["py310"]

[tool.setuptools.packages.find]
# tasks/, pipeline_processors/ and community_pipelines/ are namespace
# packages (no __init__.py) - a plain find would silently drop them
include = ["dw*"]
namespaces = true

[tool.setuptools.package-data]
dw = ["*.json", "workflows/*.json", "community_pipelines/*.py", "docs/*.md"]
# docs/ is copied in by scripts/build_dist.sh, the way the SPA is - it is what
# dw.server's list_guides/get_guide serve. A checkout has no copy and reads the
# repo's own docs/ instead
# The built SPA, copied in by scripts/build_dist.sh before packaging
"dw.server" = ["ui/**"]