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44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
from typing import (
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Literal,
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Self,
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)
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from pydantic import Field
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from typing_extensions import Any
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from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
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from invokeai.backend.model_manager.configs.identification_utils import (
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common_config_paths,
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raise_for_class_name,
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raise_for_override_fields,
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raise_if_not_dir,
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)
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from invokeai.backend.model_manager.model_on_disk import ModelOnDisk
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from invokeai.backend.model_manager.taxonomy import (
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BaseModelType,
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ModelType,
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)
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class LlavaOnevision_Diffusers_Config(Diffusers_Config_Base, Config_Base):
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"""Model config for Llava Onevision models."""
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type: Literal[ModelType.LlavaOnevision] = Field(default=ModelType.LlavaOnevision)
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base: Literal[BaseModelType.Any] = Field(default=BaseModelType.Any)
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cpu_only: bool | None = Field(default=None, description="Whether this model should run on CPU only")
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@classmethod
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def from_model_on_disk(cls, mod: ModelOnDisk, override_fields: dict[str, Any]) -> Self:
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raise_if_not_dir(mod)
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raise_for_override_fields(cls, override_fields)
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raise_for_class_name(
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common_config_paths(mod.path),
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{
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"LlavaOnevisionForConditionalGeneration",
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},
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)
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return cls(**override_fields)
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