[build-system]
requires = ["setuptools~=65.5", "pip~=22.3", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "InvokeAI"
description = "An implementation of Stable Diffusion which provides various new features and options to aid the image generation process"
requires-python = ">=3.9, <3.12"
readme = { content-type = "text/markdown", file = "README.md" }
keywords = ["stable-diffusion", "AI"]
dynamic = ["version"]
license = { file = "LICENSE" }
authors = [{ name = "The InvokeAI Project", email = "lincoln.stein@gmail.com" }]
classifiers = [
  'Development Status :: 4 - Beta',
  'Environment :: GPU',
  'Environment :: GPU :: NVIDIA CUDA',
  'Environment :: MacOS X',
  'Intended Audience :: End Users/Desktop',
  'Intended Audience :: Developers',
  'License :: OSI Approved :: MIT License',
  'Operating System :: POSIX :: Linux',
  'Operating System :: MacOS',
  'Operating System :: Microsoft :: Windows',
  'Programming Language :: Python :: 3 :: Only',
  'Programming Language :: Python :: 3.10',
  'Topic :: Artistic Software',
  'Topic :: Internet :: WWW/HTTP :: WSGI :: Application',
  'Topic :: Internet :: WWW/HTTP :: WSGI :: Server',
  'Topic :: Multimedia :: Graphics',
  'Topic :: Scientific/Engineering :: Artificial Intelligence',
  'Topic :: Scientific/Engineering :: Image Processing',
]
dependencies = [
  "accelerate~=0.21.0",
  "albumentations",
  "click",
  "clip_anytorch",  # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
  "compel~=2.0.0",
  "controlnet-aux>=0.0.6",
  "timm==0.6.13",   # needed to override timm latest in controlnet_aux, see  https://github.com/isl-org/ZoeDepth/issues/26
  "datasets",
  "diffusers[torch]~=0.20.0",
  "dnspython~=2.4.0",
  "dynamicprompts",
  "easing-functions",
  "einops",
  "facexlib",
  "fastapi==0.88.0",
  "fastapi-events==0.8.0",
  "fastapi-socketio==0.0.10",
  "huggingface-hub~=0.16.4",
  "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
  "matplotlib",                 # needed for plotting of Penner easing functions
  "mediapipe",                  # needed for "mediapipeface" controlnet model
  "numpy",
  "npyscreen",
  "omegaconf",
  "onnx",
  "onnxruntime",
  "opencv-python",
  "pydantic==1.*",
  "picklescan",
  "pillow",
  "prompt-toolkit",
  "pympler~=1.0.1",
  "pypatchmatch",
  'pyperclip',
  "pyreadline3",
  "python-multipart",
  "pytorch-lightning",
  "realesrgan",
  "requests~=2.28.2",
  "rich~=13.3",
  "safetensors==0.3.1",
  "scikit-image~=0.21.0",
  "send2trash",
  "test-tube~=0.7.5",
  "torch~=2.0.1",
  "torchvision~=0.15.2",
  "torchmetrics~=0.11.0",
  "torchsde~=0.2.5",
  "transformers~=4.31.0",
  "uvicorn[standard]~=0.21.1",
  "windows-curses; sys_platform=='win32'",
]

[project.optional-dependencies]
"dist" = ["pip-tools", "pipdeptree", "twine"]
"docs" = [
  "mkdocs-material<9.0",
  "mkdocs-git-revision-date-localized-plugin",
  "mkdocs-redirects==1.2.0",
]
"dev" = [
  "jurigged",
  "pudb",
]
"test" = [
  "black",
  "flake8",
  "Flake8-pyproject",
  "pytest>6.0.0",
  "pytest-cov",
  "pytest-datadir",
]
"xformers" = [
	   "xformers~=0.0.19; sys_platform!='darwin'",
	   "triton; sys_platform=='linux'",
]
"onnx" = [
  "onnxruntime",
]
"onnx-cuda" = [
  "onnxruntime-gpu",
]
"onnx-directml" = [
  "onnxruntime-directml",
]

[project.scripts]

# legacy entrypoints; provided for backwards compatibility
"configure_invokeai.py" = "invokeai.frontend.install.invokeai_configure:invokeai_configure"
"textual_inversion.py" = "invokeai.frontend.training:invokeai_textual_inversion"

# shortcut commands to start cli and web
# "invokeai --web" will launch the web interface
# "invokeai" will launch the CLI
"invokeai" = "invokeai.frontend.legacy_launch_invokeai:main"

# new shortcut to launch web interface
"invokeai-web" = "invokeai.app.api_app:invoke_api"

# full commands
"invokeai-configure" = "invokeai.frontend.install.invokeai_configure:invokeai_configure"
"invokeai-merge" = "invokeai.frontend.merge:invokeai_merge_diffusers"
"invokeai-ti" = "invokeai.frontend.training:invokeai_textual_inversion"
"invokeai-model-install" = "invokeai.frontend.install.model_install:main"
"invokeai-migrate3" = "invokeai.backend.install.migrate_to_3:main"
"invokeai-update" = "invokeai.frontend.install.invokeai_update:main"
"invokeai-metadata" = "invokeai.frontend.CLI.sd_metadata:print_metadata"
"invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli"
"invokeai-node-web" = "invokeai.app.api_app:invoke_api"
"invokeai-import-images" = "invokeai.frontend.install.import_images:main"

[project.urls]
"Homepage" = "https://invoke-ai.github.io/InvokeAI/"
"Documentation" = "https://invoke-ai.github.io/InvokeAI/"
"Source" = "https://github.com/invoke-ai/InvokeAI/"
"Bug Reports" = "https://github.com/invoke-ai/InvokeAI/issues"
"Discord" = "https://discord.gg/ZmtBAhwWhy"

[tool.setuptools.dynamic]
version = { attr = "invokeai.version.__version__" }

[tool.setuptools.packages.find]
"where" = ["."]
"include" = [
    "invokeai.assets.web*","invokeai.version*",
    "invokeai.generator*","invokeai.backend*",
    "invokeai.frontend*", "invokeai.frontend.web.dist*",
    "invokeai.frontend.web.static*",
    "invokeai.configs*",
    "invokeai.app*","ldm*",
]

[tool.setuptools.package-data]
"invokeai.assets.web" = ["**.png","**.js","**.woff2","**.css"]
"invokeai.backend" = ["**.png"]
"invokeai.configs" = ["*.example", "**/*.yaml", "*.txt"]
"invokeai.frontend.web.dist" = ["**"]
"invokeai.frontend.web.static" = ["**"]

#=== Begin: PyTest and Coverage
[tool.pytest.ini_options]
addopts = "--cov-report term --cov-report html --cov-report xml"
[tool.coverage.run]
branch = true
source = ["invokeai"]
omit = ["*tests*", "*migrations*", ".venv/*", "*.env"]
[tool.coverage.report]
show_missing = true
fail_under = 85  # let's set something sensible on Day 1 ...
[tool.coverage.json]
output = "coverage/coverage.json"
pretty_print = true
[tool.coverage.html]
directory = "coverage/html"
[tool.coverage.xml]
output = "coverage/index.xml"
#=== End: PyTest and Coverage

[tool.flake8]
max-line-length = 120
ignore = ["E203", "E266", "E501", "W503"]
select = ["B", "C", "E", "F", "W", "T4"]

[tool.black]
line-length = 120