xDiT/setup.py at main · xdit-project/xDiT · GitHub

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from setuptools import find_packages, setup
import subprocess


def get_cuda_version():
    try:
        nvcc_version = subprocess.check_output(["nvcc", "--version"]).decode("utf-8")
        version_line = [line for line in nvcc_version.split("\n") if "release" in line][
            0
        ]
        cuda_version = version_line.split(" ")[-2].replace(",", "")
        return "cu" + cuda_version.replace(".", "")
    except (subprocess.CalledProcessError, FileNotFoundError):
        return "no_cuda"


if __name__ == "__main__":
    with open("README.md", "r") as f:
        long_description = f.read()
    fp = open("xfuser/__version__.py", "r").read()
    version = eval(fp.strip().split()[-1])

    setup(
        name="xfuser",
        author="xDiT Team",
        author_email="fangjiarui123@gmail.com",
        packages=find_packages(),
        install_requires=[
            "torch>=2.4.1",
            "accelerate>=0.33.0",
            "transformers>=4.39.1",
            "sentencepiece>=0.1.99",
            "beautifulsoup4>=4.12.3",
            "distvae",
            "yunchang>=0.6.0",
            "einops",
            "diffusers>=0.33.0",
            "av", # For LTX-2 model
            "peft", # For LTX-2 LoRA
        ],
        extras_require={
            "flash-attn": [
                "flash-attn>=2.6.0",  # NOTE: flash-attn is necessary if ring_degree > 1
            ],
            "optimum-quanto": [
                "optimum-quanto",  # NOTE: optimum-quanto is necessary if use_fp8_t5_encoder is enabled
            ],
            "torchao": [
                "torchao", # NOTE: torchao is necessary if use_fp8_gemms is enabled
            ],
            "flask": [
                "flask",  # NOTE: flask is necessary to run xDiT as an http service
            ],
            "ray": [
                "ray",  # NOTE: ray is necessary if RayDiffusionPipeline is used
            ],
            "opencv-python": [
                "opencv-python-headless", # NOTE: opencv-python is necessary if ConsisIDPipeline is used
            ],
            "test": [
                "pytest",
                "imageio",
                "imageio-ffmpeg"
            ]
        },
        url="https://github.com/xdit-project/xDiT.",
        description="A Scalable Inference Engine for Diffusion Transformers (DiTs) on Multiple Computing Devices",
        long_description=long_description,
        long_description_content_type="text/markdown",
        version=version,
        classifiers=[
            "Programming Language :: Python :: 3",
            "Operating System :: OS Independent",
        ],
        include_package_data=True,
        python_requires=">=3.10",
        entry_points={
            "console_scripts": [
                "xdit=xfuser.cli:main",
            ],
        },
    )