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