mirror of
https://github.com/invoke-ai/InvokeAI
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54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import os
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from enum import Enum
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from typing import Any, Optional
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import torch
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from invokeai.backend.model_management.models.base import (
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BaseModelType,
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ModelBase,
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ModelType,
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SubModelType,
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classproperty,
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)
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class IPAdapterModelFormat(Enum):
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# The 'official' IP-Adapter model format from Tencent (i.e. https://huggingface.co/h94/IP-Adapter)
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Tencent = "tencent"
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class IPAdapterModel(ModelBase):
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def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
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assert model_type == ModelType.IPAdapter
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super().__init__(model_path, base_model, model_type)
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# TODO(ryand): Check correct files for model size calculation.
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self.model_size = os.path.getsize(self.model_path)
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@classmethod
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def detect_format(cls, path: str) -> str:
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if not os.path.exists(path):
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raise ModuleNotFoundError(f"No IP-Adapter model at path '{path}'.")
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raise NotImplementedError()
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@classproperty
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def save_to_config(cls) -> bool:
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raise NotImplementedError()
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def get_size(self, child_type: Optional[SubModelType] = None) -> int:
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if child_type is not None:
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raise ValueError("There are no child models in an IP-Adapter model.")
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raise NotImplementedError()
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def get_model(
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self,
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torch_dtype: Optional[torch.dtype],
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child_type: Optional[SubModelType] = None,
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) -> Any:
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if child_type is not None:
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raise ValueError("There are no child models in an IP-Adapter model.")
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raise NotImplementedError()
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