psychedelicious 2f9ebdec69 fix(app): openapi schema generation ... 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.		2024-05-30 12:03:03 +10:00
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app	fix(app): openapi schema generation	2024-05-30 12:03:03 +10:00
assets	feat(api): chore: pydantic & fastapi upgrade	2023-10-17 14:59:25 +11:00
backend	when unlocking models, offload_unlocked_models should prune to vram limit only (#6450)	2024-05-29 03:01:21 +00:00
configs	feat(mm): support sdxl ckpt inpainting models	2024-04-28 12:57:27 +10:00
frontend	fix(ui): remove overly strict constraints on control adapter weight	2024-05-29 19:01:28 -07:00
invocation_api	Remove support for Prompt-to-Prompt cross-attention control (aka .swap()). This feature is not widely used. It does not work with SDXL and is incompatible with IP-Adapter and regional prompting. The implementation is also intertwined with both text embedding and the UNet attention layers, resulting in a high maintenance burden. For all of these reasons, we have decided to drop support.	2024-04-09 10:57:02 -04:00
version	Update invokeai_version.py	2024-05-24 08:00:03 +10:00
__init__.py	Various fixes	2023-01-30 18:42:17 -05:00