mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
044d4c107a
All invocation metadata (type, title, tags and category) are now defined in decorators.
The decorators add the `type: Literal["invocation_type"]: "invocation_type"` field to the invocation.
Category is a new invocation metadata, but it is not used by the frontend just yet.
- `@invocation()` decorator for invocations
```py
@invocation(
"sdxl_compel_prompt",
title="SDXL Prompt",
tags=["sdxl", "compel", "prompt"],
category="conditioning",
)
class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
...
```
- `@invocation_output()` decorator for invocation outputs
```py
@invocation_output("clip_skip_output")
class ClipSkipInvocationOutput(BaseInvocationOutput):
...
```
- update invocation docs
- add category to decorator
- regen frontend types
122 lines
3.7 KiB
Python
122 lines
3.7 KiB
Python
from typing import Any, Callable, Union
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from pydantic import Field
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from invokeai.app.invocations.baseinvocation import (
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BaseInvocation,
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BaseInvocationOutput,
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InvocationContext,
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invocation,
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invocation_output,
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)
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from invokeai.app.invocations.image import ImageField
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# Define test invocations before importing anything that uses invocations
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@invocation_output("test_list_output")
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class ListPassThroughInvocationOutput(BaseInvocationOutput):
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collection: list[ImageField] = Field(default_factory=list)
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@invocation("test_list")
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class ListPassThroughInvocation(BaseInvocation):
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collection: list[ImageField] = Field(default_factory=list)
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def invoke(self, context: InvocationContext) -> ListPassThroughInvocationOutput:
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return ListPassThroughInvocationOutput(collection=self.collection)
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@invocation_output("test_prompt_output")
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class PromptTestInvocationOutput(BaseInvocationOutput):
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prompt: str = Field(default="")
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@invocation("test_prompt")
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class PromptTestInvocation(BaseInvocation):
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prompt: str = Field(default="")
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def invoke(self, context: InvocationContext) -> PromptTestInvocationOutput:
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return PromptTestInvocationOutput(prompt=self.prompt)
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@invocation("test_error")
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class ErrorInvocation(BaseInvocation):
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def invoke(self, context: InvocationContext) -> PromptTestInvocationOutput:
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raise Exception("This invocation is supposed to fail")
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@invocation_output("test_image_output")
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class ImageTestInvocationOutput(BaseInvocationOutput):
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image: ImageField = Field()
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@invocation("test_text_to_image")
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class TextToImageTestInvocation(BaseInvocation):
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prompt: str = Field(default="")
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def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
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return ImageTestInvocationOutput(image=ImageField(image_name=self.id))
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@invocation("test_image_to_image")
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class ImageToImageTestInvocation(BaseInvocation):
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prompt: str = Field(default="")
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image: Union[ImageField, None] = Field(default=None)
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def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
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return ImageTestInvocationOutput(image=ImageField(image_name=self.id))
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@invocation_output("test_prompt_collection_output")
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class PromptCollectionTestInvocationOutput(BaseInvocationOutput):
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collection: list[str] = Field(default_factory=list)
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@invocation("test_prompt_collection")
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class PromptCollectionTestInvocation(BaseInvocation):
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collection: list[str] = Field()
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def invoke(self, context: InvocationContext) -> PromptCollectionTestInvocationOutput:
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return PromptCollectionTestInvocationOutput(collection=self.collection.copy())
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# Importing these at the top breaks previous tests
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from invokeai.app.services.events import EventServiceBase # noqa: E402
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from invokeai.app.services.graph import Edge, EdgeConnection # noqa: E402
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def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edge:
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return Edge(
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source=EdgeConnection(node_id=from_id, field=from_field),
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destination=EdgeConnection(node_id=to_id, field=to_field),
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)
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class TestEvent:
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event_name: str
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payload: Any
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def __init__(self, event_name: str, payload: Any):
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self.event_name = event_name
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self.payload = payload
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class TestEventService(EventServiceBase):
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events: list
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def __init__(self):
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super().__init__()
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self.events = list()
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def dispatch(self, event_name: str, payload: Any) -> None:
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pass
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def wait_until(condition: Callable[[], bool], timeout: int = 10, interval: float = 0.1) -> None:
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import time
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start_time = time.time()
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while time.time() - start_time < timeout:
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if condition():
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return
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time.sleep(interval)
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raise TimeoutError("Condition not met")
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