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63 lines
2.4 KiB
Python
63 lines
2.4 KiB
Python
import pytest
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from invokeai.app.invocations.flux_denoise import FluxDenoiseInvocation
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TIMESTEPS = [1.0, 0.75, 0.5, 0.25, 0.0]
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@pytest.mark.parametrize(
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["cfg_scale", "timesteps", "cfg_scale_start_step", "cfg_scale_end_step", "expected"],
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[
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# Test scalar cfg_scale.
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(2.0, TIMESTEPS, 0, -1, [2.0, 2.0, 2.0, 2.0]),
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# Test list cfg_scale.
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([1.0, 2.0, 3.0, 4.0], TIMESTEPS, 0, -1, [1.0, 2.0, 3.0, 4.0]),
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# Test positive cfg_scale_start_step.
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(2.0, TIMESTEPS, 1, -1, [1.0, 2.0, 2.0, 2.0]),
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# Test positive cfg_scale_end_step.
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(2.0, TIMESTEPS, 0, 2, [2.0, 2.0, 2.0, 1.0]),
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# Test negative cfg_scale_start_step.
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(2.0, TIMESTEPS, -3, -1, [1.0, 2.0, 2.0, 2.0]),
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# Test negative cfg_scale_end_step.
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(2.0, TIMESTEPS, 0, -2, [2.0, 2.0, 2.0, 1.0]),
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# Test single step application.
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(2.0, TIMESTEPS, 2, 2, [1.0, 1.0, 2.0, 1.0]),
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],
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)
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def test_prep_cfg_scale(
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cfg_scale: float | list[float],
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timesteps: list[float],
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cfg_scale_start_step: int,
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cfg_scale_end_step: int,
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expected: list[float],
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):
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result = FluxDenoiseInvocation.prep_cfg_scale(cfg_scale, timesteps, cfg_scale_start_step, cfg_scale_end_step)
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assert result == expected
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def test_prep_cfg_scale_invalid_type():
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with pytest.raises(ValueError, match="Unsupported cfg_scale type"):
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FluxDenoiseInvocation.prep_cfg_scale("invalid", [1.0, 0.5], 0, -1) # type: ignore
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@pytest.mark.parametrize("cfg_scale_start_step", [4, -5])
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def test_prep_cfg_scale_invalid_start_step(cfg_scale_start_step: int):
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with pytest.raises(ValueError, match="Invalid cfg_scale_start_step"):
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FluxDenoiseInvocation.prep_cfg_scale(2.0, TIMESTEPS, cfg_scale_start_step, -1)
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@pytest.mark.parametrize("cfg_scale_end_step", [4, -5])
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def test_prep_cfg_scale_invalid_end_step(cfg_scale_end_step: int):
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with pytest.raises(ValueError, match="Invalid cfg_scale_end_step"):
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FluxDenoiseInvocation.prep_cfg_scale(2.0, TIMESTEPS, 0, cfg_scale_end_step)
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def test_prep_cfg_scale_start_after_end():
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with pytest.raises(ValueError, match="cfg_scale_start_step .* must be before cfg_scale_end_step"):
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FluxDenoiseInvocation.prep_cfg_scale(2.0, TIMESTEPS, 3, 2)
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def test_prep_cfg_scale_list_length_mismatch():
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with pytest.raises(AssertionError):
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FluxDenoiseInvocation.prep_cfg_scale([1.0, 2.0, 3.0], TIMESTEPS, 0, -1)
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