| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | get attention optimizations to work | AUTOMATIC1111 | 2023-07-13 | 1 | -7/+7 |
| | | |||||
| * | SDXL support | AUTOMATIC1111 | 2023-07-12 | 1 | -8/+43 |
| | | |||||
| * | Merge pull request #11066 from aljungberg/patch-1 | AUTOMATIC1111 | 2023-06-07 | 1 | -1/+1 |
| |\ | | | | | Fix upcast attention dtype error. | ||||
| | * | Fix upcast attention dtype error. | Alexander Ljungberg | 2023-06-06 | 1 | -1/+1 |
| | | | | | | | | | | | | | | | | | | | | | | | Without this fix, enabling the "Upcast cross attention layer to float32" option while also using `--opt-sdp-attention` breaks generation with an error: ``` File "/ext3/automatic1111/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 612, in sdp_attnblock_forward out = torch.nn.functional.scaled_dot_product_attention(q, k, v, dropout_p=0.0, is_causal=False) RuntimeError: Expected query, key, and value to have the same dtype, but got query.dtype: float key.dtype: float and value.dtype: c10::Half instead. ``` The fix is to make sure to upcast the value tensor too. | ||||
| * | | Merge pull request #10990 from vkage/sd_hijack_optimizations_bugfix | AUTOMATIC1111 | 2023-06-04 | 1 | -1/+1 |
| |\ \ | | | | | | | torch.cuda.is_available() check for SdOptimizationXformers | ||||
| | * | | fix the broken line for #10990 | AUTOMATIC | 2023-06-04 | 1 | -1/+1 |
| | | | | |||||
| | * | | torch.cuda.is_available() check for SdOptimizationXformers | Vivek K. Vasishtha | 2023-06-03 | 1 | -1/+1 |
| | |/ | |||||
| | * | revert default cross attention optimization to Doggettx | AUTOMATIC | 2023-06-01 | 1 | -3/+3 |
| | | | | | | | | | make --disable-opt-split-attention command line option work again | ||||
| * | | revert default cross attention optimization to Doggettx | AUTOMATIC | 2023-06-01 | 1 | -3/+3 |
| | | | | | | | | | make --disable-opt-split-attention command line option work again | ||||
| * | | rename print_error to report, use it with together with package name | AUTOMATIC | 2023-05-31 | 1 | -2/+1 |
| | | | |||||
| * | | Add & use modules.errors.print_error where currently printing exception info ↵ | Aarni Koskela | 2023-05-29 | 1 | -4/+2 |
| |/ | | | | by hand | ||||
| * | Add a couple `from __future__ import annotations`es for Py3.9 compat | Aarni Koskela | 2023-05-20 | 1 | -0/+1 |
| | | |||||
| * | Apply suggestions from code review | AUTOMATIC1111 | 2023-05-19 | 1 | -38/+28 |
| | | | | Co-authored-by: Aarni Koskela <akx@iki.fi> | ||||
| * | fix linter issues | AUTOMATIC | 2023-05-18 | 1 | -1/+1 |
| | | |||||
| * | make it possible for scripts to add cross attention optimizations | AUTOMATIC | 2023-05-18 | 1 | -3/+132 |
| | | | | | add UI selection for cross attention optimization | ||||
| * | Autofix Ruff W (not W605) (mostly whitespace) | Aarni Koskela | 2023-05-11 | 1 | -16/+16 |
| | | |||||
| * | ruff auto fixes | AUTOMATIC | 2023-05-10 | 1 | -7/+7 |
| | | |||||
| * | autofixes from ruff | AUTOMATIC | 2023-05-10 | 1 | -1/+0 |
| | | |||||
| * | Fix for Unet NaNs | brkirch | 2023-05-08 | 1 | -0/+3 |
| | | |||||
| * | Update sd_hijack_optimizations.py | FNSpd | 2023-03-24 | 1 | -1/+1 |
| | | |||||
| * | Update sd_hijack_optimizations.py | FNSpd | 2023-03-21 | 1 | -1/+1 |
| | | |||||
| * | sdp_attnblock_forward hijack | Pam | 2023-03-10 | 1 | -0/+24 |
| | | |||||
| * | argument to disable memory efficient for sdp | Pam | 2023-03-10 | 1 | -0/+4 |
| | | |||||
| * | scaled dot product attention | Pam | 2023-03-06 | 1 | -0/+42 |
| | | |||||
| * | Add UI setting for upcasting attention to float32 | brkirch | 2023-01-25 | 1 | -60/+99 |
| | | | | | | | 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. | ||||
| * | better support for xformers flash attention on older versions of torch | AUTOMATIC | 2023-01-23 | 1 | -24/+18 |
| | | |||||
| * | add --xformers-flash-attention option & impl | Takuma Mori | 2023-01-21 | 1 | -2/+24 |
| | | |||||
| * | extra networks UI | AUTOMATIC | 2023-01-21 | 1 | -5/+5 |
| | | | | | rework of hypernets: rather than via settings, hypernets are added directly to prompt as <hypernet:name:weight> | ||||
| * | Added license | brkirch | 2023-01-06 | 1 | -0/+1 |
| | | |||||
| * | Change sub-quad chunk threshold to use percentage | brkirch | 2023-01-06 | 1 | -9/+9 |
| | | |||||
| * | Add Birch-san's sub-quadratic attention implementation | brkirch | 2023-01-06 | 1 | -25/+99 |
| | | |||||
| * | Use other MPS optimization for large q.shape[0] * q.shape[1] | brkirch | 2022-12-21 | 1 | -4/+6 |
| | | | | | | | 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. | ||||
| * | cleanup some unneeded imports for hijack files | AUTOMATIC | 2022-12-10 | 1 | -3/+0 |
| | | |||||
| * | do not replace entire unet for the resolution hack | AUTOMATIC | 2022-12-10 | 1 | -28/+0 |
| | | |||||
| * | Patch UNet Forward to support resolutions that are not multiples of 64 | Billy Cao | 2022-11-23 | 1 | -0/+31 |
| | | | | | Also modifed the UI to no longer step in 64 | ||||
| * | Remove wrong self reference in CUDA support for invokeai | Cheka | 2022-10-19 | 1 | -1/+1 |
| | | |||||
| * | Update sd_hijack_optimizations.py | C43H66N12O12S2 | 2022-10-18 | 1 | -0/+3 |
| | | |||||
| * | readd xformers attnblock | C43H66N12O12S2 | 2022-10-18 | 1 | -0/+15 |
| | | |||||
| * | delete xformers attnblock | C43H66N12O12S2 | 2022-10-18 | 1 | -12/+0 |
| | | |||||
| * | Use apply_hypernetwork function | brkirch | 2022-10-11 | 1 | -10/+4 |
| | | |||||
| * | Add InvokeAI and lstein to credits, add back CUDA support | brkirch | 2022-10-11 | 1 | -0/+13 |
| | | |||||
| * | Add check for psutil | brkirch | 2022-10-11 | 1 | -4/+15 |
| | | |||||
| * | Add cross-attention optimization from InvokeAI | brkirch | 2022-10-11 | 1 | -0/+79 |
| | | | | | | | * Add cross-attention optimization from InvokeAI (~30% speed improvement on MPS) * Add command line option for it * Make it default when CUDA is unavailable | ||||
| * | rename hypernetwork dir to hypernetworks to prevent clash with an old ↵ | AUTOMATIC | 2022-10-11 | 1 | -1/+1 |
| | | | | | filename that people who use zip instead of git clone will have | ||||
| * | fixes related to merge | AUTOMATIC | 2022-10-11 | 1 | -1/+2 |
| | | |||||
| * | replace duplicate code with a function | AUTOMATIC | 2022-10-11 | 1 | -29/+15 |
| | | |||||
| * | remove functorch | C43H66N12O12S2 | 2022-10-10 | 1 | -2/+0 |
| | | |||||
| * | Fix VRAM Issue by only loading in hypernetwork when selected in settings | Fampai | 2022-10-09 | 1 | -3/+3 |
| | | |||||
| * | make --force-enable-xformers work without needing --xformers | AUTOMATIC | 2022-10-08 | 1 | -1/+1 |
| | | |||||
| * | add fallback for xformers_attnblock_forward | AUTOMATIC | 2022-10-08 | 1 | -1/+4 |
| | | |||||
 |
index : stable-diffusion-webui-gfx803.git | |
| stable-diffusion-webui by AUTOMATIC1111 with patches for gfx803 GPU and Dockerfile |
| aboutsummaryrefslogtreecommitdiffstats |