Disty0
618097dac2
GradScaler patch for IPEX
2023-06-15 01:19:35 +03:00
Vladimir Mandic
cb307399dd
jumbo merge
2023-06-13 11:59:56 -04:00
Disty0
c9e58c9604
Fix train for IPEX
2023-06-12 00:21:32 +03:00
Disty0
f63dd1c92e
Fix torch.linalg.solve with IPEX & Diffusers UniPC
2023-06-10 22:01:09 +03:00
Disty0
3bef3e3eee
Train patches for IPEX
2023-06-07 17:25:11 +03:00
Vladimir Mandic
efbe364f7d
js optimizations
2023-06-05 14:26:01 -04:00
Disty0
c52fb69dde
Fix bf16 test
2023-06-05 20:49:18 +03:00
Vladimir Mandic
c0a824d8c6
add extra networks to xyz
2023-06-05 10:32:08 -04:00
Disty0
8bef48e501
Fix GroupNorm.forward with IPEX
2023-06-04 12:22:56 +03:00
Disty0
4265692505
Fix GradScaler doesn't exist for XPU
2023-06-03 17:02:44 +03:00
Vladimir Mandic
1f988d1df6
cleanup
2023-06-02 19:39:44 -04:00
Vince Navarro
c30eb90aff
Remove stray print
2023-06-01 17:28:13 -04:00
Vince Navarro
523dbaf8dc
Add XPU support for --device-id
2023-06-01 16:42:21 -04:00
Vladimir Mandic
9bf0b1ae1f
allow experimental to override precision
2023-05-28 07:46:47 -04:00
Vladimir Mandic
f8884bc051
fix hip detection
2023-05-25 09:13:57 -04:00
Vladimir Mandic
9e66d88e21
add mps defaults
2023-05-24 15:21:49 -04:00
Vladimir Mandic
684851ae34
set default optimizer
2023-05-24 13:50:01 -04:00
Vladimir Mandic
0acc7d3b86
fix redirector
2023-05-24 08:49:33 -04:00
Vladimir Mandic
ea0780339a
fixes
2023-05-21 08:17:36 -04:00
Vladimir Mandic
9033499e08
add manual seed
2023-05-19 08:34:43 -04:00
Vladimir Mandic
0ccda9bc8b
jumbo patch
2023-05-17 14:15:55 -04:00
Vladimir Mandic
5250ba4be3
force no-half with directml
2023-05-16 21:20:36 -04:00
Vladimir Mandic
8350b93a5c
add force latent sampler
2023-05-15 09:32:20 -04:00
Vladimir Mandic
5134471bc8
dml autocast
2023-05-14 13:24:59 -04:00
Vladimir Mandic
618a1703ae
update cudnn benchmark setting
2023-05-14 12:28:37 -04:00
Vladimir Mandic
760f5fb89a
add extra debug messages
2023-05-14 12:26:15 -04:00
Vladimir Mandic
a652270999
fix
2023-05-13 12:26:00 -04:00
Vladimir Mandic
a2923064a5
update cudnn
2023-05-13 11:52:31 -04:00
Vladimir Mandic
d96ab6a1ae
update directml
2023-05-13 11:21:11 -04:00
Vladimir Mandic
a2485cf7ef
update
2023-05-12 21:12:24 -04:00
Vladimir Mandic
1921504e64
enable dynamo compile
2023-05-12 15:58:00 -04:00
Vladimir Mandic
daf90cb6b4
add performance note
2023-05-12 14:23:51 -04:00
Vladimir Mandic
62dda471a3
process images in threads
2023-05-12 14:21:26 -04:00
Vladimir Mandic
1943bfea88
use cudnn workaround
2023-05-11 22:24:12 -04:00
Vladimir Mandic
e038bf1549
aggressive gc
2023-05-10 16:03:55 -04:00
Vladimir Mandic
41182009cb
switch some cmdopts to opts
2023-05-08 09:27:50 -04:00
Vladimir Mandic
1360c6422a
add fp16 test
2023-05-08 09:27:50 -04:00
Disty0
8171d57c36
Remove unnecessary IPEX imports
2023-05-04 02:34:34 +03:00
Vladimir Mandic
5d8c787a7b
restart server redesign
2023-05-03 17:20:22 -04:00
Disty0
53f3567224
Use cmd_args parser instead of launch.py
2023-05-03 21:25:23 +03:00
Disty0
7577a09528
Add IPEX Optimizers and use XPU instead of CPU when using IPEX
2023-05-03 18:12:38 +03:00
Disty0
de8d0bef9f
More patches and Import IPEX after Torch
2023-04-30 18:19:37 +03:00
Disty0
a720a670e8
More patches and less import shared
2023-04-30 16:01:17 +03:00
Disty0
b075d3c8fd
Intel ARC Support
2023-04-30 15:13:56 +03:00
Seunghoon Lee
d2d5011bd3
Implement memory estimation for AMDGPUs.
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Stable.
2023-04-26 17:44:32 +09:00
Seunghoon Lee
a49a8f8b46
First DirectML implementation.
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Unstable and not tested.
2023-04-25 01:43:19 +09:00
Vladimir Mandic
61e9a1970c
add exception around torch properties
2023-04-22 08:35:17 -04:00
Vladimir Mandic
cf277e7326
fix dtype logic
2023-04-21 15:04:05 -04:00
Vladimir Mandic
57204b3d70
disable xformers/sdp if cannot be used
2023-04-21 11:32:19 -04:00
Vladimir Mandic
7939a1649d
parse model preload
2023-04-20 23:19:25 -04:00
Vladimir Mandic
0e7144186d
jump patch
2023-04-20 11:20:27 -04:00
Vladimir Mandic
e14cba0771
add lycoris folder
2023-04-15 12:25:59 -04:00
Vladimir Mandic
81b8294e93
switch cmdflags to settings
2023-04-12 10:40:11 -04:00
brkirch
1b8af15f13
Refactor Mac specific code to a separate file
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Move most Mac related code to a separate file, don't even load it unless web UI is run under macOS.
2023-02-01 14:05:56 -05:00
brkirch
2217331cd1
Refactor MPS fixes to CondFunc
2023-02-01 06:36:22 -05:00
brkirch
7738c057ce
MPS fix is still needed :(
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Apparently I did not test with large enough images to trigger the bug with torch.narrow on MPS
2023-02-01 05:23:58 -05:00
AUTOMATIC1111
fecb990deb
Merge pull request #7309 from brkirch/fix-embeddings
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Fix embeddings, upscalers, and refactor `--upcast-sampling`
2023-01-28 18:44:36 +03:00
brkirch
f9edd578e9
Remove MPS fix no longer needed for PyTorch
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The torch.narrow fix was required for nightly PyTorch builds for a while to prevent a hard crash, but newer nightly builds don't have this issue.
2023-01-28 04:16:27 -05:00
brkirch
ada17dbd7c
Refactor conditional casting, fix upscalers
2023-01-28 04:16:25 -05:00
AUTOMATIC
9beb794e0b
clarify the option to disable NaN check.
2023-01-27 13:08:00 +03:00
AUTOMATIC
d2ac95fa7b
remove the need to place configs near models
2023-01-27 11:28:12 +03:00
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
brkirch
84d9ce30cb
Add option for float32 sampling with float16 UNet
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This also handles type casting so that ROCm and MPS torch devices work correctly without --no-half. One cast is required for deepbooru in deepbooru_model.py, some explicit casting is required for img2img and inpainting. depth_model can't be converted to float16 or it won't work correctly on some systems (it's known to have issues on MPS) so in sd_models.py model.depth_model is removed for model.half().
2023-01-25 01:13:02 -05:00
AUTOMATIC1111
aa60fc6660
Merge pull request #6922 from brkirch/cumsum-fix
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Improve cumsum fix for MPS
2023-01-19 13:18:34 +03:00
brkirch
a255dac4f8
Fix cumsum for MPS in newer torch
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The prior fix assumed that testing int16 was enough to determine if a fix is needed, but a recent fix for cumsum has int16 working but not bool.
2023-01-17 20:54:18 -05:00
AUTOMATIC
c361b89026
disable the new NaN check for the CI
2023-01-17 11:05:01 +03:00
AUTOMATIC
9991967f40
Add a check and explanation for tensor with all NaNs.
2023-01-16 22:59:46 +03:00
brkirch
8111b5569d
Add support for PyTorch nightly and local builds
2023-01-05 20:54:52 -05:00
brkirch
16b4509fa6
Add numpy fix for MPS on PyTorch 1.12.1
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When saving training results with torch.save(), an exception is thrown:
"RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead."
So for MPS, check if Tensor.requires_grad and detach() if necessary.
2022-12-17 04:22:58 -05:00
AUTOMATIC
b6e5edd746
add built-in extension system
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add support for adding upscalers in extensions
move LDSR, ScuNET and SwinIR to built-in extensions
2022-12-03 18:06:33 +03:00
AUTOMATIC
46b0d230e7
add comment for #4407 and remove seemingly unnecessary cudnn.enabled
2022-12-03 16:01:23 +03:00
AUTOMATIC
2651267e3a
fix #4407 breaking UI entirely for card other than ones related to the PR
2022-12-03 15:57:52 +03:00
AUTOMATIC1111
681c0003df
Merge pull request #4407 from yoinked-h/patch-1
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Fix issue with 16xx cards
2022-12-03 10:30:34 +03:00
brkirch
0fddb4a1c0
Rework MPS randn fix, add randn_like fix
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torch.manual_seed() already sets a CPU generator, so there is no reason to create a CPU generator manually. torch.randn_like also needs a MPS fix for k-diffusion, but a torch hijack with randn_like already exists so it can also be used for that.
2022-11-30 10:33:42 -05:00
AUTOMATIC1111
cc90dcc933
Merge pull request #4918 from brkirch/pytorch-fixes
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Fixes for PyTorch 1.12.1 when using MPS
2022-11-27 13:47:01 +03:00
AUTOMATIC
5b2c316890
eliminate duplicated code from #5095
2022-11-27 13:08:54 +03:00
Matthew McGoogan
c67c40f983
torch.cuda.empty_cache() defaults to cuda:0 device unless explicitly set otherwise first. Updating torch_gc() to use the device set by --device-id if specified to avoid OOM edge cases on multi-GPU systems.
2022-11-26 23:25:16 +00:00
brkirch
e247b7400a
Add fixes for PyTorch 1.12.1
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Fix typo "MasOS" -> "macOS"
If MPS is available and PyTorch is an earlier version than 1.13:
* Monkey patch torch.Tensor.to to ensure all tensors sent to MPS are contiguous
* Monkey patch torch.nn.functional.layer_norm to ensure input tensor is contiguous (required for this program to work with MPS on unmodified PyTorch 1.12.1)
2022-11-21 02:07:19 -05:00
brkirch
abfa22c16f
Revert "MPS Upscalers Fix"
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This reverts commit 768b95394a8500da639b947508f78296524f1836.
2022-11-17 00:08:21 -05:00
AUTOMATIC
0ab0a50f9a
change formatting to match the main program in devices.py
2022-11-12 10:00:49 +03:00
源文雨
1130d5df66
Update devices.py
2022-11-12 11:09:28 +08:00
源文雨
76ab31e188
Fix wrong mps selection below MasOS 12.3
2022-11-12 11:02:40 +08:00
pepe10-gpu
62e9fec3df
actual better fix
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thanks C43H66N12O12S2
2022-11-08 15:19:09 -08:00
pepe10-gpu
29eff4a194
terrible hack
2022-11-07 18:06:48 -08:00
pepe10-gpu
cd6c55c1ab
16xx card fix
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cudnn
2022-11-06 17:05:51 -08:00
brkirch
faed465a0b
MPS Upscalers Fix
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Get ESRGAN, SCUNet, and SwinIR working correctly on MPS by ensuring memory is contiguous for tensor views before sending to MPS device.
2022-10-25 09:42:53 +03:00
brkirch
4c24347e45
Remove BSRGAN from --use-cpu, add SwinIR
2022-10-25 09:42:53 +03:00
AUTOMATIC
50b5504401
remove parsing command line from devices.py
2022-10-22 14:04:14 +03:00
Extraltodeus
57eb54b838
implement CUDA device selection by ID
2022-10-22 00:11:07 +02:00
brkirch
fdef8253a4
Add 'interrogate' and 'all' choices to --use-cpu
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* Add 'interrogate' and 'all' choices to --use-cpu
* Change type for --use-cpu argument to str.lower, so that choices are case insensitive
2022-10-14 16:31:39 +03:00
AUTOMATIC
7349088d32
--no-half-vae
2022-10-10 16:16:29 +03:00
brkirch
e9e2a7ec9a
Merge branch 'master' into cpu-cmdline-opt
2022-10-04 07:42:53 -04:00
AUTOMATIC
6c6ae28bf5
send all three of GFPGAN's and codeformer's models to CPU memory instead of just one for #1283
2022-10-04 12:32:22 +03:00
brkirch
27ddc24fde
Add BSRGAN to --add-cpu
2022-10-04 05:18:17 -04:00
brkirch
eeab7aedf5
Add --use-cpu command line option
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Remove MPS detection to use CPU for GFPGAN / CodeFormer and add a --use-cpu command line option.
2022-10-04 04:24:35 -04:00
brkirch
b88e4ea7d6
Merge branch 'master' into master
2022-10-04 01:04:19 -04:00
AUTOMATIC
820f1dc96b
initial support for training textual inversion
2022-10-02 15:03:39 +03:00
brkirch
bdaa36c844
When device is MPS, use CPU for GFPGAN instead
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GFPGAN will not work if the device is MPS, so default to CPU instead.
2022-09-30 23:53:25 -04:00
AUTOMATIC
9d40212485
first attempt to produce crrect seeds in batch
2022-09-13 21:49:58 +03:00
AUTOMATIC
c7e0e28ccd
changes for #294
2022-09-12 20:09:32 +03:00
AUTOMATIC
b70b51cc72
Allow TF32 in CUDA for increased performance #279
2022-09-12 16:34:13 +03:00
AUTOMATIC
8fb9c57ed6
add half() supporrt for CLIP interrogation
2022-09-11 23:24:24 +03:00
AUTOMATIC
f194457229
CLIP interrogator
2022-09-11 18:48:36 +03:00
Abdullah Barhoum
b5d1af11b7
Modular device management
2022-09-11 09:49:43 +03:00