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https://github.com/invoke-ai/InvokeAI
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implement workaround for FastAPI and discriminated unions in Body parameter
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@ -3,6 +3,8 @@
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from typing import List, Optional
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from hashlib import sha1
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from random import randbytes
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from fastapi import Body, Path, Query, Response
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from fastapi.routing import APIRouter
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@ -34,8 +36,8 @@ ModelsListValidator = TypeAdapter(ModelsList)
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operation_id="list_model_records",
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)
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async def list_model_records(
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base_models: Optional[List[BaseModelType]] = Query(default=None, description="Base models to include"),
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model_type: Optional[ModelType] = Query(default=None, description="The type of model to get"),
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base_models: Optional[List[BaseModelType]] = Query(default=None, description="Base models to include"),
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model_type: Optional[ModelType] = Query(default=None, description="The type of model to get"),
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) -> ModelsList:
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"""Get a list of models."""
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record_store = ApiDependencies.invoker.services.model_records
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@ -61,7 +63,7 @@ async def list_model_records(
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},
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)
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async def get_model_record(
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key: str = Path(description="Key of the model record to fetch."),
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key: str = Path(description="Key of the model record to fetch."),
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) -> AnyModelConfig:
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"""Get a model record"""
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record_store = ApiDependencies.invoker.services.model_records
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@ -84,9 +86,8 @@ async def get_model_record(
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response_model=AnyModelConfig,
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)
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async def update_model_record(
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key: Annotated[str, Path(description="Unique key of model")],
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# info: Annotated[AnyModelConfig, Body(description="Model configuration")],
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info: AnyModelConfig,
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key: Annotated[str, Path(description="Unique key of model")],
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info: Annotated[AnyModelConfig, Body(description="Model config", discriminator="type")]
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) -> AnyModelConfig:
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"""Update model contents with a new config. If the model name or base fields are changed, then the model is renamed."""
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logger = ApiDependencies.invoker.services.logger
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@ -134,7 +135,7 @@ async def del_model_record(
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status_code=201,
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)
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async def add_model_record(
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config: AnyModelConfig,
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config: Annotated[AnyModelConfig, Body(description="Model config", discriminator="type")]
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) -> AnyModelConfig:
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"""
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Add a model using the configuration information appropriate for its type.
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@ -257,21 +257,34 @@ _ControlNetConfig = Annotated[
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_VaeConfig = Annotated[Union[VaeDiffusersConfig, VaeCheckpointConfig], Field(discriminator="format")]
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_MainModelConfig = Annotated[Union[MainDiffusersConfig, MainCheckpointConfig], Field(discriminator="format")]
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AnyModelConfig = Annotated[
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Union[
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_MainModelConfig,
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_ONNXConfig,
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_VaeConfig,
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_ControlNetConfig,
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LoRAConfig,
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TextualInversionConfig,
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IPAdapterConfig,
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CLIPVisionDiffusersConfig,
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T2IConfig,
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],
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Body(discriminator="type"),
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AnyModelConfig = Union[
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_MainModelConfig,
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_ONNXConfig,
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_VaeConfig,
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_ControlNetConfig,
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LoRAConfig,
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TextualInversionConfig,
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IPAdapterConfig,
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CLIPVisionDiffusersConfig,
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T2IConfig,
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]
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# Preferred alternative is a discriminated Union, but it breaks FastAPI when applied to a route.
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# AnyModelConfig = Annotated[
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# Union[
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# _MainModelConfig,
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# _ONNXConfig,
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# _VaeConfig,
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# _ControlNetConfig,
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# LoRAConfig,
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# TextualInversionConfig,
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# IPAdapterConfig,
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# CLIPVisionDiffusersConfig,
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# T2IConfig,
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# ],
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# Field(discriminator="type"),
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# ]
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AnyModelConfigValidator = TypeAdapter(AnyModelConfig)
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@ -295,11 +308,11 @@ class ModelConfigFactory(object):
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be selected automatically.
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"""
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if isinstance(model_data, ModelConfigBase):
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if key:
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model_data.key = key
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return model_data
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model = model_data
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elif dest_class:
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model = dest_class.validate_python(model_data)
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else:
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model = AnyModelConfigValidator.validate_python(model_data)
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if key:
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model.key = key
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return model
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if key:
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model.key = key
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return model
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@ -44,6 +44,12 @@ def example_config() -> TextualInversionConfig:
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)
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def test_type(store: ModelRecordServiceBase):
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config = example_config()
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store.add_model("key1", config)
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config1 = store.get_model("key1")
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assert type(config1) == TextualInversionConfig
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def test_add(store: ModelRecordServiceBase):
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raw = dict(
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path="/tmp/foo.ckpt",
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