Ryan Dick 76c97ec411 Fix all comparisons against the DEFAULT_PRECISION constant. DEFAULT_PRECISION is a torch.dtype. Previously, it was compared to a str in a number of places where it would always resolve to False. This is a bugfix that results in a change to the default behavior. In practice, this will not change the behavior for many users, because it only causes a change in behavior if a users has configured float32 as their default precision.		2024-06-06 09:16:45 -04:00
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app	Fix all comparisons against the DEFAULT_PRECISION constant. DEFAULT_PRECISION is a torch.dtype. Previously, it was compared to a str in a number of places where it would always resolve to False. This is a bugfix that results in a change to the default behavior. In practice, this will not change the behavior for many users, because it only causes a change in behavior if a users has configured float32 as their default precision.	2024-06-06 09:16:45 -04:00
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	Changed translated labels to static suffixes, cleanup.	2024-06-05 14:45:43 +10:00
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	2024-06-05 05:53:19 +10:00
__init__.py