mirror of
https://github.com/invoke-ai/InvokeAI.git
synced 2026-04-23 03:00:31 -04:00
5a3195f757
- Replace AnyModelLoader with ModelLoaderRegistry - Fix type check errors in multiple files - Remove apparently unneeded `get_model_config_enum()` method from model manager - Remove last vestiges of old model manager - Updated tests and documentation resolve conflict with seamless.py
58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
# Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
|
|
"""Class for TI model loading in InvokeAI."""
|
|
|
|
|
|
from pathlib import Path
|
|
from typing import Optional, Tuple
|
|
|
|
from invokeai.backend.model_manager import (
|
|
AnyModel,
|
|
AnyModelConfig,
|
|
BaseModelType,
|
|
ModelFormat,
|
|
ModelRepoVariant,
|
|
ModelType,
|
|
SubModelType,
|
|
)
|
|
from invokeai.backend.textual_inversion import TextualInversionModelRaw
|
|
|
|
from .. import ModelLoader, ModelLoaderRegistry
|
|
|
|
|
|
@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.TextualInversion, format=ModelFormat.EmbeddingFile)
|
|
@ModelLoaderRegistry.register(
|
|
base=BaseModelType.Any, type=ModelType.TextualInversion, format=ModelFormat.EmbeddingFolder
|
|
)
|
|
class TextualInversionLoader(ModelLoader):
|
|
"""Class to load TI models."""
|
|
|
|
def _load_model(
|
|
self,
|
|
model_path: Path,
|
|
model_variant: Optional[ModelRepoVariant] = None,
|
|
submodel_type: Optional[SubModelType] = None,
|
|
) -> AnyModel:
|
|
if submodel_type is not None:
|
|
raise ValueError("There are no submodels in a TI model.")
|
|
model = TextualInversionModelRaw.from_checkpoint(
|
|
file_path=model_path,
|
|
dtype=self._torch_dtype,
|
|
)
|
|
return model
|
|
|
|
# override
|
|
def _get_model_path(
|
|
self, config: AnyModelConfig, submodel_type: Optional[SubModelType] = None
|
|
) -> Tuple[Path, AnyModelConfig, Optional[SubModelType]]:
|
|
model_path = self._app_config.models_path / config.path
|
|
|
|
if config.format == ModelFormat.EmbeddingFolder:
|
|
path = model_path / "learned_embeds.bin"
|
|
else:
|
|
path = model_path
|
|
|
|
if not path.exists():
|
|
raise OSError(f"The embedding file at {path} was not found")
|
|
|
|
return path, config, submodel_type
|