Commit graph

34 commits

Author SHA1 Message Date
brkirch
c18add68ef Added license 2023-01-06 16:42:47 -05:00
brkirch
b95a4c0ce5 Change sub-quad chunk threshold to use percentage 2023-01-06 01:01:51 -05:00
brkirch
d782a95967 Add Birch-san's sub-quadratic attention implementation 2023-01-06 00:14:13 -05:00
brkirch
35b1775b32 Use other MPS optimization for large q.shape[0] * q.shape[1]
Check if q.shape[0] * q.shape[1] is 2**18 or larger and use the lower memory usage MPS optimization if it is. This should prevent most crashes that were occurring at certain resolutions (e.g. 1024x1024, 2048x512, 512x2048).

Also included is a change to check slice_size and prevent it from being divisible by 4096 which also results in a crash. Otherwise a crash can occur at 1024x512 or 512x1024 resolution.
2022-12-20 21:30:00 -05:00
AUTOMATIC
505ec7e4d9 cleanup some unneeded imports for hijack files 2022-12-10 09:17:39 +03:00
AUTOMATIC
7dbfd8a7d8 do not replace entire unet for the resolution hack 2022-12-10 09:14:45 +03:00
Billy Cao
adb6cb7619 Patch UNet Forward to support resolutions that are not multiples of 64
Also modifed the UI to no longer step in 64
2022-11-23 18:11:24 +08:00
Cheka
2fd7935ef4 Remove wrong self reference in CUDA support for invokeai 2022-10-19 09:35:53 +03:00
C43H66N12O12S2
c71008c741 Update sd_hijack_optimizations.py 2022-10-18 11:53:04 +03:00
C43H66N12O12S2
84823275e8 readd xformers attnblock 2022-10-18 11:53:04 +03:00
C43H66N12O12S2
2043c4a231 delete xformers attnblock 2022-10-18 11:53:04 +03:00
brkirch
861db783c7 Use apply_hypernetwork function 2022-10-11 17:24:00 +03:00
brkirch
574c8e554a Add InvokeAI and lstein to credits, add back CUDA support 2022-10-11 17:24:00 +03:00
brkirch
98fd5cde72 Add check for psutil 2022-10-11 17:24:00 +03:00
brkirch
c0484f1b98 Add cross-attention optimization from InvokeAI
* Add cross-attention optimization from InvokeAI (~30% speed improvement on MPS)
* Add command line option for it
* Make it default when CUDA is unavailable
2022-10-11 17:24:00 +03:00
AUTOMATIC
873efeed49 rename hypernetwork dir to hypernetworks to prevent clash with an old filename that people who use zip instead of git clone will have 2022-10-11 15:51:30 +03:00
AUTOMATIC
530103b586 fixes related to merge 2022-10-11 14:53:02 +03:00
AUTOMATIC
948533950c replace duplicate code with a function 2022-10-11 11:10:17 +03:00
C43H66N12O12S2
3e7a981194 remove functorch 2022-10-10 19:54:07 +03:00
Fampai
122d42687b Fix VRAM Issue by only loading in hypernetwork when selected in settings 2022-10-09 11:08:11 +03:00
AUTOMATIC
e6e42f98df make --force-enable-xformers work without needing --xformers 2022-10-08 22:12:23 +03:00
AUTOMATIC
f9c5da1592 add fallback for xformers_attnblock_forward 2022-10-08 19:05:19 +03:00
AUTOMATIC
dc1117233e simplify xfrmers options: --xformers to enable and that's it 2022-10-08 17:02:18 +03:00
AUTOMATIC
7ff1170a2e emergency fix for xformers (continue + shared) 2022-10-08 16:33:39 +03:00
AUTOMATIC1111
48feae37ff
Merge pull request #1851 from C43H66N12O12S2/flash
xformers attention
2022-10-08 16:29:59 +03:00
C43H66N12O12S2
69d0053583
update sd_hijack_opt to respect new env variables 2022-10-08 16:21:40 +03:00
C43H66N12O12S2
76a616fa6b
Update sd_hijack_optimizations.py 2022-10-08 11:55:38 +03:00
C43H66N12O12S2
5d54f35c58
add xformers attnblock and hypernetwork support 2022-10-08 11:55:02 +03:00
brkirch
f2055cb1d4 Add hypernetwork support to split cross attention v1
* Add hypernetwork support to split_cross_attention_forward_v1
* Fix device check in esrgan_model.py to use devices.device_esrgan instead of shared.device
2022-10-08 09:39:17 +03:00
C43H66N12O12S2
c9cc65b201
switch to the proper way of calling xformers 2022-10-08 04:09:18 +03:00
AUTOMATIC
bad7cb29ce added support for hypernetworks (???) 2022-10-07 10:17:52 +03:00
C43H66N12O12S2
f174fb2922
add xformers attention 2022-10-07 05:21:49 +03:00
Jairo Correa
ad0cc85d1f Merge branch 'master' into stable 2022-10-02 18:31:19 -03:00
AUTOMATIC
820f1dc96b initial support for training textual inversion 2022-10-02 15:03:39 +03:00