mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
07e3a0ec15
- add invocation schema customisation done via fastapi's `Config` class and `schema_extra`. when using `Config`, inherit from `InvocationConfig` to get type hints. where it makes sense - like for all math invocations - define a `MathInvocationConfig` class and have all invocations inherit from it. this customisation can provide any arbitrary additional data to the UI. currently it provides tags and field type hints. this is necessary for `model` type fields, which are actually string fields. without something like this, we can't reliably differentiate `model` fields from normal `string` fields. can also be used for future field types. all invocations now have tags, and all `model` fields have ui type hints. - fix model handling for invocations added a helper to fall back to the default model if an invalid model name is chosen. model names in graphs now work. - fix latents progress callback noticed this wasn't correct while working on everything else.
11 lines
564 B
Python
11 lines
564 B
Python
from invokeai.app.invocations.baseinvocation import InvocationContext
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from invokeai.backend.model_management.model_manager import ModelManager
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def choose_model(model_manager: ModelManager, model_name: str):
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"""Returns the default model if the `model_name` not a valid model, else returns the selected model."""
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if model_manager.valid_model(model_name):
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return model_manager.get_model(model_name)
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else:
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print(f"* Warning: '{model_name}' is not a valid model name. Using default model instead.")
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return model_manager.get_model() |