mirror of
https://github.com/invoke-ai/InvokeAI.git
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a23dedd2ee
- Replace legacy model manager service with the v2 manager. - Update invocations to use new load interface. - Fixed many but not all type checking errors in the invocations. Most were unrelated to model manager - Updated routes. All the new routes live under the route tag `model_manager_v2`. To avoid confusion with the old routes, they have the URL prefix `/api/v2/models`. The old routes have been de-registered. - Added a pytest for the loader. - Updated documentation in contributing/MODEL_MANAGER.md
37 lines
1.3 KiB
Python
37 lines
1.3 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 ..load_base import AnyModelLoader
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from ..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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