Lincoln Stein 532f82cb97 Optimize RAM to VRAM transfer (#6312) ... * avoid copying model back from cuda to cpu * handle models that don't have state dicts * add assertions that models need a `device()` method * do not rely on torch.nn.Module having the device() method * apply all patches after model is on the execution device * fix model patching in latents too * log patched tokenizer * closes #6375 --------- Co-authored-by: Lincoln Stein <lstein@gmail.com>		2024-05-24 17:06:09 +00:00
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app	Optimize RAM to VRAM transfer (#6312)	2024-05-24 17:06:09 +00:00
assets	feat(api): chore: pydantic & fastapi upgrade	2023-10-17 14:59:25 +11:00
backend	Optimize RAM to VRAM transfer (#6312)	2024-05-24 17:06:09 +00:00
configs	feat(mm): support sdxl ckpt inpainting models	2024-04-28 12:57:27 +10:00
frontend	fix(ui): isLocal erroneously hardcoded	2024-05-25 00:05:44 +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	2024-05-24 08:00:03 +10:00
__init__.py	Various fixes	2023-01-30 18:42:17 -05:00