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https://github.com/invoke-ai/InvokeAI.git
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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
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
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"""Class for Onnx model loading in InvokeAI."""
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# This should work the same as Stable Diffusion pipelines
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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 .. import ModelLoaderRegistry
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from .generic_diffusers import GenericDiffusersLoader
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@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.ONNX, format=ModelFormat.Onnx)
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@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.ONNX, format=ModelFormat.Olive)
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class OnnyxDiffusersModel(GenericDiffusersLoader):
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"""Class to load onnx 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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if not submodel_type is not None:
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raise Exception("A submodel type must be provided when loading onnx pipelines.")
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load_class = self.get_hf_load_class(model_path, submodel_type)
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variant = model_variant.value if model_variant else None
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model_path = model_path / submodel_type.value
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result: AnyModel = load_class.from_pretrained(
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model_path,
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torch_dtype=self._torch_dtype,
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variant=variant,
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) # type: ignore
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return result
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