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56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
from typing import overload
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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 SD1T2IAdapter, SD1UNet, SDXLT2IAdapter, SDXLUNet
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from refiners.foundationals.latent_diffusion.t2i_adapter import T2IFeatures
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@overload
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def new_adapter(target: SD1UNet, name: str) -> SD1T2IAdapter: ...
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@overload
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def new_adapter(target: SDXLUNet, name: str) -> SDXLT2IAdapter: ...
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def new_adapter(target: SD1UNet | SDXLUNet, name: str) -> SD1T2IAdapter | SDXLT2IAdapter:
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if isinstance(target, SD1UNet):
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return SD1T2IAdapter(target=target, name=name)
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else:
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return SDXLT2IAdapter(target=target, name=name)
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@no_grad()
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@pytest.mark.parametrize("k_unet", [SD1UNet, SDXLUNet])
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def test_inject_eject(k_unet: type[SD1UNet] | type[SDXLUNet], test_device: torch.device):
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unet = k_unet(in_channels=4, device=test_device, dtype=torch.float16)
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initial_repr = repr(unet)
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adapter_1 = new_adapter(unet, "adapter 1")
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assert repr(unet) == initial_repr
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adapter_1.inject()
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assert repr(unet) != initial_repr
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with pytest.raises(AssertionError) as already_injected_error:
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new_adapter(unet, "adapter 1").inject()
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assert str(already_injected_error.value) == "T2I-Adapter named adapter 1 is already injected"
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adapter_2 = new_adapter(unet, "adapter 2").inject()
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adapter_1.eject()
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new_adapter_1 = new_adapter(unet, "adapter 1").inject()
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new_adapter_1.eject()
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assert unet.parent == adapter_2
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assert unet.find(T2IFeatures) is not None
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adapter_2.eject()
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assert unet.parent is None
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assert unet.find(T2IFeatures) is None
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assert repr(unet) == initial_repr
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