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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load	LoRA patching optimization (#6439)	2024-06-06 13:53:35 +00:00
metadata	fix(mm): config.json to indicates diffusers model	2024-03-13 21:02:29 +11:00
util	install model if diffusers or single file, cleaned up backend logic to not mess with existing model install	2024-03-13 21:02:29 +11:00
__init__.py	[mm] Do not write diffuser model to disk when convert_cache set to zero (#6072)	2024-03-29 16:11:08 -04:00
config.py	chore: ruff	2024-04-23 07:32:53 -04:00
convert_ckpt_to_diffusers.py	feat(mm): use same pattern for vae converter as others	2024-04-01 12:34:49 +11:00
libc_util.py	Tidy names and locations of modules	2024-03-01 10:42:33 +11:00
merge.py	[util] Add generic torch device class (#6174)	2024-04-15 13:12:49 +00:00
probe.py	feat(mm): support sdxl ckpt inpainting models	2024-04-28 12:57:27 +10:00
search.py	docs(mm): update ModelSearch	2024-03-28 12:35:41 +11:00
starter_models.py	fix: update SDXL IP Adpater starter model to be ViT-H	2024-04-24 00:08:21 -04:00