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Fix static type errors with SCHEDULER_NAME_VALUES. And, avoid bi-directional cross-directory imports, which contribute to circular import issues.
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@ -1,6 +1,5 @@
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from typing import Literal
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from invokeai.backend.stable_diffusion.schedulers import SCHEDULER_MAP
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from invokeai.backend.util.devices import TorchDevice
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LATENT_SCALE_FACTOR = 8
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@ -11,9 +10,6 @@ factor is hard-coded to a literal '8' rather than using this constant.
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The ratio of image:latent dimensions is LATENT_SCALE_FACTOR:1, or 8:1.
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"""
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SCHEDULER_NAME_VALUES = Literal[tuple(SCHEDULER_MAP.keys())]
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"""A literal type representing the valid scheduler names."""
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IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"]
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"""A literal type for PIL image modes supported by Invoke"""
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