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27 lines
931 B
Python
27 lines
931 B
Python
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import pytest
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import torch
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from refiners.fluxion.utils import no_grad
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from refiners.foundationals.latent_diffusion import StableDiffusion_1, StableDiffusion_XL
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@no_grad()
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@pytest.mark.parametrize("k_sd", [StableDiffusion_1, StableDiffusion_XL])
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def test_set_self_attention_guidance(
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k_sd: type[StableDiffusion_1] | type[StableDiffusion_XL], test_device: torch.device
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):
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sd = k_sd(device=test_device, dtype=torch.float16)
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assert sd._find_sag_adapter() is None # type: ignore
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sd.set_self_attention_guidance(enable=True, scale=0.42)
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adapter = sd._find_sag_adapter() # type: ignore
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assert adapter is not None
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assert adapter.scale == 0.42
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sd.set_self_attention_guidance(enable=True, scale=0.75)
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assert sd._find_sag_adapter() == adapter # type: ignore
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assert adapter.scale == 0.75
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sd.set_self_attention_guidance(enable=False)
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assert sd._find_sag_adapter() is None # type: ignore
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