c18add68ef
Added license
2023-01-06 16:42:47 -05:00
b95a4c0ce5
Change sub-quad chunk threshold to use percentage
2023-01-06 01:01:51 -05:00
d782a95967
Add Birch-san's sub-quadratic attention implementation
2023-01-06 00:14:13 -05:00
35b1775b32
Use other MPS optimization for large q.shape[0] * q.shape[1]
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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
505ec7e4d9
cleanup some unneeded imports for hijack files
2022-12-10 09:17:39 +03:00
7dbfd8a7d8
do not replace entire unet for the resolution hack
2022-12-10 09:14:45 +03:00
adb6cb7619
Patch UNet Forward to support resolutions that are not multiples of 64
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Also modifed the UI to no longer step in 64
2022-11-23 18:11:24 +08:00
2fd7935ef4
Remove wrong self reference in CUDA support for invokeai
2022-10-19 09:35:53 +03:00
c71008c741
Update sd_hijack_optimizations.py
2022-10-18 11:53:04 +03:00
84823275e8
readd xformers attnblock
2022-10-18 11:53:04 +03:00
2043c4a231
delete xformers attnblock
2022-10-18 11:53:04 +03:00
861db783c7
Use apply_hypernetwork function
2022-10-11 17:24:00 +03:00
574c8e554a
Add InvokeAI and lstein to credits, add back CUDA support
2022-10-11 17:24:00 +03:00
98fd5cde72
Add check for psutil
2022-10-11 17:24:00 +03:00
c0484f1b98
Add cross-attention optimization from InvokeAI
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* 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
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
530103b586
fixes related to merge
2022-10-11 14:53:02 +03:00
948533950c
replace duplicate code with a function
2022-10-11 11:10:17 +03:00
3e7a981194
remove functorch
2022-10-10 19:54:07 +03:00
122d42687b
Fix VRAM Issue by only loading in hypernetwork when selected in settings
2022-10-09 11:08:11 +03:00
e6e42f98df
make --force-enable-xformers work without needing --xformers
2022-10-08 22:12:23 +03:00
f9c5da1592
add fallback for xformers_attnblock_forward
2022-10-08 19:05:19 +03:00
dc1117233e
simplify xfrmers options: --xformers to enable and that's it
2022-10-08 17:02:18 +03:00
7ff1170a2e
emergency fix for xformers (continue + shared)
2022-10-08 16:33:39 +03:00
48feae37ff
Merge pull request #1851 from C43H66N12O12S2/flash
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xformers attention
2022-10-08 16:29:59 +03:00
69d0053583
update sd_hijack_opt to respect new env variables
2022-10-08 16:21:40 +03:00
76a616fa6b
Update sd_hijack_optimizations.py
2022-10-08 11:55:38 +03:00
5d54f35c58
add xformers attnblock and hypernetwork support
2022-10-08 11:55:02 +03:00
f2055cb1d4
Add hypernetwork support to split cross attention v1
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* 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
c9cc65b201
switch to the proper way of calling xformers
2022-10-08 04:09:18 +03:00
bad7cb29ce
added support for hypernetworks (???)
2022-10-07 10:17:52 +03:00
f174fb2922
add xformers attention
2022-10-07 05:21:49 +03:00
ad0cc85d1f
Merge branch 'master' into stable
2022-10-02 18:31:19 -03:00
820f1dc96b
initial support for training textual inversion
2022-10-02 15:03:39 +03:00
brkirch