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18 lines
973 B
Python
18 lines
973 B
Python
from invokeai.backend.model_manager.model_on_disk import StateDict
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from invokeai.backend.model_manager.taxonomy import BaseModelType
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from omi_model_standards.convert.lora.convert_sdxl_lora import convert_sdxl_lora_key_sets
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from omi_model_standards.convert.lora.convert_flux_lora import convert_flux_lora_key_sets
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from omi_model_standards.convert.lora.convert_sd_lora import convert_sd_lora_key_sets
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from omi_model_standards.convert.lora.convert_sd3_lora import convert_sd3_lora_key_sets
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import omi_model_standards.convert.lora.convert_lora_util as lora_util
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def convert_to_omi(weights_sd: StateDict, base: BaseModelType):
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keyset = {
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BaseModelType.Flux: convert_flux_lora_key_sets(),
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BaseModelType.StableDiffusionXL: convert_sdxl_lora_key_sets(),
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BaseModelType.StableDiffusion1: convert_sd_lora_key_sets(),
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BaseModelType.StableDiffusion3: convert_sd3_lora_key_sets(),
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}[base]
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return lora_util.convert_to_omi(weights_sd, keyset)
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