psychedelicious 241a1fdb57 feat(mm): support sdxl ckpt inpainting models ... There are only a couple SDXL inpainting models, and my tests indicate they are not as good as SD1.5 inpainting, but at least we support them now. - Add the config file. This matches what is used in A1111. The only difference from the non-inpainting SDXL config is the number of in-channels. - Update the legacy config maps to use this config file.		2024-04-28 12:57:27 +10:00
..
load	[util] Add generic torch device class (#6174)	2024-04-15 13:12:49 +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