Wan2.1-VACE-1.3B / pyproject.toml
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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "wan"
version = "2.1.0"
description = "Wan: Open and Advanced Large-Scale Video Generative Models"
authors = [
{ name = "Wan Team", email = "[email protected]" }
]
license = { file = "LICENSE.txt" }
readme = "README.md"
requires-python = ">=3.10,<4.0"
dependencies = [
"torch>=2.4.0",
"torchvision>=0.19.0",
"opencv-python>=4.9.0.80",
"diffusers>=0.31.0",
"transformers>=4.49.0",
"tokenizers>=0.20.3",
"accelerate>=1.1.1",
"tqdm",
"imageio",
"easydict",
"ftfy",
"dashscope",
"imageio-ffmpeg",
"flash_attn",
"gradio>=5.0.0",
"numpy>=1.23.5,<2"
]
[project.optional-dependencies]
dev = [
"pytest",
"black",
"flake8",
"isort",
"mypy",
"huggingface-hub[cli]"
]
[project.urls]
homepage = "https://wanxai.com"
documentation = "https://github.com/Wan-Video/Wan2.1"
repository = "https://github.com/Wan-Video/Wan2.1"
huggingface = "https://huggingface.co/Wan-AI/"
modelscope = "https://modelscope.cn/organization/Wan-AI"
discord = "https://discord.gg/p5XbdQV7"
[tool.setuptools]
packages = ["wan"]
[tool.setuptools.package-data]
"wan" = ["**/*.py"]
[tool.black]
line-length = 88
[tool.isort]
profile = "black"
[tool.mypy]
strict = true