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https://github.com/invoke-ai/InvokeAI
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2f9ebdec69
Some tech debt related to dynamic pydantic schemas for invocations became problematic. Including the invocations and results in the event schemas was breaking pydantic's handling of ref schemas. I don't really understand why - I think it's a pydantic bug in a remote edge case that we are hitting. After many failed attempts I landed on this implementation, which is actually much tidier than what was in there before. - Create pydantic-enabled types for `AnyInvocation` and `AnyInvocationOutput` and use these in place of the janky dynamic unions. Actually, they are kinda the same, but better encapsulated. Use these in `Graph`, `GraphExecutionState`, `InvocationEventBase` and `InvocationCompleteEvent`. - Revise the custom openapi function to work with the new models. - Split out the custom openapi function to a separate file. Add a `post_transform` callback so consumers can customize the output schema. - Update makefile scripts. |
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|---|---|---|
| .. | ||
| custom_nodes | ||
| __init__.py | ||
| baseinvocation.py | ||
| collections.py | ||
| compel.py | ||
| constants.py | ||
| controlnet_image_processors.py | ||
| cv.py | ||
| facetools.py | ||
| fields.py | ||
| image.py | ||
| infill.py | ||
| ip_adapter.py | ||
| latent.py | ||
| mask.py | ||
| math.py | ||
| metadata.py | ||
| model.py | ||
| noise.py | ||
| param_easing.py | ||
| primitives.py | ||
| prompt.py | ||
| sdxl.py | ||
| strings.py | ||
| t2i_adapter.py | ||
| tiles.py | ||
| upscale.py | ||
| util.py | ||