mirror of
https://github.com/invoke-ai/InvokeAI
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96 lines
3.3 KiB
Python
96 lines
3.3 KiB
Python
import os
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import typing
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from enum import Enum
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from typing import Any, Literal, Optional
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import torch
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
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from invokeai.backend.model_management.models.base import (
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BaseModelType,
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InvalidModelException,
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ModelBase,
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ModelConfigBase,
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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(str, Enum):
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# Checkpoint is the 'official' IP-Adapter model format from Tencent (i.e. https://huggingface.co/h94/IP-Adapter)
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Checkpoint = "checkpoint"
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class IPAdapterModel(ModelBase):
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class CheckpointConfig(ModelConfigBase):
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model_format: Literal[IPAdapterModelFormat.Checkpoint]
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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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if os.path.isfile(path):
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if path.endswith((".safetensors", ".ckpt", ".pt", ".pth", ".bin")):
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return IPAdapterModelFormat.Checkpoint
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raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}")
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@classproperty
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def save_to_config(cls) -> bool:
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return True
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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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# TODO(ryand): Update self.model_size when the model is loaded from disk.
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return self.model_size
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def _get_text_encoder_path(self) -> str:
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# TODO(ryand): Move the CLIP image encoder to its own model directory.
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return os.path.join(os.path.dirname(self.model_path), "image_encoder")
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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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) -> typing.Union[IPAdapter, IPAdapterPlus]:
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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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# TODO(ryand): Update IPAdapter to accept a torch_dtype param.
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# TODO(ryand): Checking for "plus" in the file name is fragile. It should be possible to infer whether this is a
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# "plus" variant by loading the state_dict.
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if "plus" in str(self.model_path):
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return IPAdapterPlus(
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image_encoder_path=self._get_text_encoder_path(), ip_adapter_ckpt_path=self.model_path, device="cpu"
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)
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else:
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return IPAdapter(
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image_encoder_path=self._get_text_encoder_path(), ip_adapter_ckpt_path=self.model_path, device="cpu"
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)
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@classmethod
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def convert_if_required(
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cls,
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model_path: str,
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output_path: str,
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config: ModelConfigBase,
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base_model: BaseModelType,
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) -> str:
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format = cls.detect_format(model_path)
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if format == IPAdapterModelFormat.Checkpoint:
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return model_path
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else:
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raise ValueError(f"Unsupported format: '{format}'.")
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