Lincoln Stein 2871676f79 LoRA patching optimization (#6439) ... * allow model patcher to optimize away the unpatching step when feasible * remove lazy_offloading functionality * allow model patcher to optimize away the unpatching step when feasible * remove lazy_offloading functionality * do not save original weights if there is a CPU copy of state dict * Update invokeai/backend/model_manager/load/load_base.py Co-authored-by: Ryan Dick <ryanjdick3@gmail.com> * documentation fixes added during penultimate review --------- Co-authored-by: Lincoln Stein <lstein@gmail.com> Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com> Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>		2024-06-06 13:53:35 +00:00
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app	LoRA patching optimization (#6439)	2024-06-06 13:53:35 +00:00
assets	feat(api): chore: pydantic & fastapi upgrade	2023-10-17 14:59:25 +11:00
backend	LoRA patching optimization (#6439)	2024-06-06 13:53:35 +00:00
configs	feat(mm): support sdxl ckpt inpainting models	2024-04-28 12:57:27 +10:00
frontend	tidy(ui): organize control layers konva logic	2024-06-06 07:45:13 +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	Various fixes	2023-01-30 18:42:17 -05:00