test_flux_schnell.py 808 Bytes
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import pytest

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from nunchaku.utils import get_precision, is_turing
from .utils import run_test
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@pytest.mark.skipif(is_turing(), reason="Skip tests due to using Turing GPUs")
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@pytest.mark.parametrize(
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    "height,width,attention_impl,cpu_offload,expected_lpips",
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    [
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        (1024, 1024, "flashattn2", False, 0.126),
        (1024, 1024, "nunchaku-fp16", False, 0.126),
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        (1920, 1080, "nunchaku-fp16", False, 0.158),
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        (2048, 2048, "nunchaku-fp16", True, 0.166),
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    ],
)
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def test_int4_schnell(height: int, width: int, attention_impl: str, cpu_offload: bool, expected_lpips: float):
    run_test(
        precision=get_precision(),
        height=height,
        width=width,
        attention_impl=attention_impl,
        cpu_offload=cpu_offload,
        expected_lpips=expected_lpips,
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    )