AUTOMATIC1111
1e5afd4fa9
Apply suggestions from code review
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Co-authored-by: Aarni Koskela <akx@iki.fi>
2023-05-19 09:17:36 +03:00
AUTOMATIC
8a3d232839
fix linter issues
2023-05-19 00:03:27 +03:00
AUTOMATIC
2582a0fd3b
make it possible for scripts to add cross attention optimizations
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add UI selection for cross attention optimization
2023-05-18 22:48:28 +03:00
Aarni Koskela
49a55b410b
Autofix Ruff W (not W605) (mostly whitespace)
2023-05-11 20:29:11 +03:00
AUTOMATIC
028d3f6425
ruff auto fixes
2023-05-10 11:05:02 +03:00
AUTOMATIC
762265eab5
autofixes from ruff
2023-05-10 07:52:45 +03:00
brkirch
7aab389d6f
Fix for Unet NaNs
2023-05-08 08:16:56 -04:00
FNSpd
280ed8f00f
Update sd_hijack_optimizations.py
2023-03-24 16:29:16 +04:00
FNSpd
c84c9df737
Update sd_hijack_optimizations.py
2023-03-21 14:50:22 +04:00
Pam
8d7fa2f67c
sdp_attnblock_forward hijack
2023-03-10 22:48:41 +05:00
Pam
37acba2633
argument to disable memory efficient for sdp
2023-03-10 12:19:36 +05:00
Pam
fec0a89511
scaled dot product attention
2023-03-07 00:33:13 +05:00
brkirch
e3b53fd295
Add UI setting for upcasting attention to float32
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Adds "Upcast cross attention layer to float32" option in Stable Diffusion settings. This allows for generating images using SD 2.1 models without --no-half or xFormers.
In order to make upcasting cross attention layer optimizations possible it is necessary to indent several sections of code in sd_hijack_optimizations.py so that a context manager can be used to disable autocast. Also, even though Stable Diffusion (and Diffusers) only upcast q and k, unfortunately my findings were that most of the cross attention layer optimizations could not function unless v is upcast also.
2023-01-25 01:13:04 -05:00
AUTOMATIC
59146621e2
better support for xformers flash attention on older versions of torch
2023-01-23 16:40:20 +03:00
Takuma Mori
3262e825cc
add --xformers-flash-attention option & impl
2023-01-21 17:42:04 +09:00
AUTOMATIC
40ff6db532
extra networks UI
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rework of hypernets: rather than via settings, hypernets are added directly to prompt as <hypernet:name:weight>
2023-01-21 08:36:07 +03:00
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]
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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
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
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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
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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
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
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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
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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
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
