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63 Commits

Author SHA1 Message Date
catboxanon
5681bf8016 More accurate check for enabling cuDNN benchmark on 16XX cards 2023-08-31 14:57:16 -04:00
AUTOMATIC1111
386245a264 split shared.py into multiple files; should resolve all circular reference import errors related to shared.py 2023-08-09 10:25:35 +03:00
AUTOMATIC1111
0d5dc9a6e7 rework RNG to use generators instead of generating noises beforehand 2023-08-09 08:43:31 +03:00
AUTOMATIC1111
fca42949a3 rework torchsde._brownian.brownian_interval replacement to use device.randn_local and respect the NV setting. 2023-08-03 07:18:55 +03:00
AUTOMATIC1111
84b6fcd02c add NV option for Random number generator source setting, which allows to generate same pictures on CPU/AMD/Mac as on NVidia videocards. 2023-08-03 00:00:23 +03:00
Aarni Koskela
b85fc7187d Fix MPS cache cleanup 
Importing torch does not import torch.mps so the call failed.
 2023-07-11 12:51:05 +03:00
AUTOMATIC1111
da8916f926 added torch.mps.empty_cache() to torch_gc() 
changed a bunch of places that use torch.cuda.empty_cache() to use torch_gc() instead
 2023-07-08 17:13:18 +03:00
Aarni Koskela
ba70a220e3 Remove a bunch of unused/vestigial code 
As found by Vulture and some eyes
 2023-06-05 22:43:57 +03:00
AUTOMATIC
8faac8b963 run basic torch calculation at startup in parallel to reduce the performance impact of first generation 2023-05-21 21:55:14 +03:00
AUTOMATIC
028d3f6425 ruff auto fixes 2023-05-10 11:05:02 +03:00
AUTOMATIC
5fe0dd79be rename CPU RNG to RNG source in settings, add infotext and parameters copypaste support to RNG source 2023-04-29 11:29:37 +03:00
Deciare
d40e44ade4 Option to use CPU for random number generation. 
Makes a given manual seed generate the same images across different
platforms, independently of the GPU architecture in use.

Fixes #9613.
 2023-04-18 23:27:46 -04:00
brkirch
1b8af15f13 Refactor Mac specific code to a separate file 
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 :( 
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 
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 
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 
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 
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 
Improve cumsum fix for MPS
 2023-01-19 13:18:34 +03:00
brkirch
a255dac4f8 Fix cumsum for MPS in newer torch 
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 
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 
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 
Fix issue with 16xx cards
 2022-12-03 10:30:34 +03:00
brkirch
0fddb4a1c0 Rework MPS randn fix, add randn_like fix 
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 
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 
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" 
This reverts commit 768b95394a.
 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 
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 
cudnn
 2022-11-06 17:05:51 -08:00
brkirch
faed465a0b MPS Upscalers Fix 
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 
* 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