wehub-resource-sync
cddb07a176
docs / deploy (push) Has been cancelled
docs / changes (push) Has been cancelled
docs / check-and-build (push) Has been cancelled
build container image / cpu (push) Has been cancelled
build container image / cuda (push) Has been cancelled
build container image / rocm (push) Has been cancelled
frontend checks / frontend-checks (push) Has been cancelled
frontend tests / frontend-tests (push) Has been cancelled
lfs checks / lfs-check (push) Has been cancelled
python checks / python-checks (push) Has been cancelled
python tests / py3.12: macos-default (push) Has been cancelled
python tests / py3.11: windows-cpu (push) Has been cancelled
python tests / py3.12: windows-cpu (push) Has been cancelled
python tests / py3.11: linux-cpu (push) Has been cancelled
typegen checks / typegen-checks (push) Has been cancelled
uv lock checks / uv-lock-checks (push) Has been cancelled
openapi checks / openapi-checks (push) Has been cancelled
python tests / py3.11: macos-default (push) Has been cancelled
python tests / py3.12: linux-cpu (push) Has been cancelled
53 lines
1.7 KiB
Python
53 lines
1.7 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
|
|
|
|
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
|
|
from invokeai.backend.model_manager.load.load_default import ModelLoader
|
|
from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
|
|
from invokeai.backend.model_manager.taxonomy import (
|
|
AnyModel,
|
|
BaseModelType,
|
|
ModelFormat,
|
|
ModelType,
|
|
SubModelType,
|
|
)
|
|
from invokeai.backend.textual_inversion import TextualInversionModelRaw
|
|
|
|
|
|
@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,
|
|
config: AnyModelConfig,
|
|
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=config.path,
|
|
dtype=self._torch_dtype,
|
|
)
|
|
return model
|
|
|
|
# override
|
|
def _get_model_path(self, config: AnyModelConfig) -> Path:
|
|
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
|