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36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
# Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
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"""Class for simple diffusers model loading in InvokeAI."""
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from pathlib import Path
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from typing import Optional
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from invokeai.backend.model_manager import (
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AnyModel,
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BaseModelType,
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ModelFormat,
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ModelRepoVariant,
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ModelType,
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SubModelType,
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)
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from invokeai.backend.model_manager.load.load_base import AnyModelLoader
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from invokeai.backend.model_manager.load.load_default import ModelLoader
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@AnyModelLoader.register(base=BaseModelType.Any, type=ModelType.CLIPVision, format=ModelFormat.Diffusers)
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@AnyModelLoader.register(base=BaseModelType.Any, type=ModelType.T2IAdapter, format=ModelFormat.Diffusers)
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class GenericDiffusersLoader(ModelLoader):
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"""Class to load simple diffusers models."""
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def _load_model(
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self,
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model_path: Path,
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model_variant: Optional[ModelRepoVariant] = None,
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submodel_type: Optional[SubModelType] = None,
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) -> AnyModel:
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model_class = self._get_hf_load_class(model_path)
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if submodel_type is not None:
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raise Exception(f"There are no submodels in models of type {model_class}")
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variant = model_variant.value if model_variant else None
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result: AnyModel = model_class.from_pretrained(model_path, torch_dtype=self._torch_dtype, variant=variant) # type: ignore
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return result
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