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22 lines
828 B
Python
22 lines
828 B
Python
from invokeai.backend.model_manager.model_on_disk import StateDict
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from invokeai.backend.model_manager.omi.vendor.convert.lora import (
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convert_flux_lora as omi_flux,
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)
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from invokeai.backend.model_manager.omi.vendor.convert.lora import (
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convert_lora_util as lora_util,
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)
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from invokeai.backend.model_manager.omi.vendor.convert.lora import (
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convert_sdxl_lora as omi_sdxl,
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)
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from invokeai.backend.model_manager.taxonomy import BaseModelType
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def convert_from_omi(weights_sd: StateDict, base: BaseModelType):
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keyset = {
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BaseModelType.Flux: omi_flux.convert_flux_lora_key_sets(),
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BaseModelType.StableDiffusionXL: omi_sdxl.convert_sdxl_lora_key_sets(),
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}[base]
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source = "omi"
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target = "legacy_diffusers"
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return lora_util.__convert(weights_sd, keyset, source, target) # type: ignore
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