you mean their secure cloud throttles on power and have inferior cpu's which makes it 50% slower th
you mean their secure cloud throttles on power and have inferior cpu's which makes it 50% slower than real world local machine?
R@Dr. Furkan Gözükara is it worth adding a save preset toggle down option?
Ri am down to 60s on my 4090
Rwith optimisations
VSUPIR: If I get the message in the console on Windows: Done in 18.092s, max VRAM alloc 10111.929 MB -- then the generation should be done and the file is saved ? -The UI still shows "processing" for the last 10 minutes and there is no file in the output folder.
V( I try to upscale from 2048 to 4320 (height) with 16 GB VRAM.. )
BJust FYI, I upscale a pano 2048x1024 to 4096x2048 (2x) and it was eating over 20 gigs of Vram. That's the limit my 3090 can do. My guess is you are OOM
VGenerated image 1/1 in 111.18 seconds -- that is the message when it worked. And yes.. it seems to run out of memory. I have only 50 MB left.
VBut 4K works amazing! 
-Wow.. the sharpening abilities of SUPIR are insane!
-Wow.. the sharpening abilities of SUPIR are insane!
S@Dr. Furkan Gözükara Hi, I know that you explain on a video how create subtitles in different languages can you share that tutorial and the patreon link? is this accurate?
LHey peoples. Lately (last week or so) have been having issue (perhaps I just noticed it) where Kohya creates endless folders (on Windows 11) the img folder is repeated endlessly and makes it impossible to delete via windows explorer I have to resort to change permissions and remove using rmdir /s on admin command prompt. Anyone with this issue past or present?
Ehey! quick question if anyone knows. i updated xformers to 0.0.23.post1 and torch to 2.1.2 , but my torchvision is incompatible. i cant find the right torchvision that would be compatible with both xformers and torch
Eheres my error: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.16.0 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible. but in github it says torchvision 0.16.0 is compatible with torch 2.1.2 - im confusion
torchvision 0.16.0 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible. but in github it says torchvision 0.16.0 is compatible with torch 2.1.2 - im confusion
Fnot yet
Fit is sd
Fyes i will add others as well
Fstable cascade and instant id too
Fthat is only a certain part
Fyes i plan to make this
Fbut dont have a tutorial yet
Fkohya making some updtes
Fi am following
Fbut not completed yet i think
F2.2.0 torch cu121
Fxformers 0.0.24
Fbut you need python 3.10.11
Fxformers new versions are so torch version depended
Risnt xformers unnecessary now. since torch 2.0 onwards it has its own version of it? no?
Fi still find xformers better
Rneed to read up on the difference with cross attention
Rtheres too much to read about
Ftrue :d
EThanks for the info that helps! I’ll try it now.
Ewhen i try to install 2.2.0 torch..
ERROR: Ignored the following yanked versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.15.0
ERROR: Could not find a version that satisfies the requirement torchvision==0.6.0+cu121 (from versions: 0.1.6, 0.2.0, 0.12.0, 0.12.0+cpu, 0.12.0+cu113, 0.12.0+cu115, 0.13.0, 0.13.0+cpu, 0.13.0+cu113, 0.13.0+cu116, 0.13.1, 0.13.1+cpu, 0.13.1+cu113, 0.13.1+cu116, 0.14.0, 0.14.0+cpu, 0.14.0+cu116, 0.14.0+cu117, 0.14.1, 0.14.1+cpu, 0.14.1+cu116, 0.14.1+cu117, 0.15.0+cpu, 0.15.0+cu117, 0.15.0+cu118, 0.15.1, 0.15.1+cpu, 0.15.1+cu117, 0.15.1+cu118, 0.15.2, 0.15.2+cpu, 0.15.2+cu117, 0.15.2+cu118, 0.16.0, 0.16.0+cpu, 0.16.0+cu118, 0.16.0+cu121, 0.16.1, 0.16.1+cpu, 0.16.1+cu118, 0.16.1+cu121, 0.16.2, 0.16.2+cpu, 0.16.2+cu118, 0.16.2+cu121, 0.17.0, 0.17.0+cpu, 0.17.0+cu118, 0.17.0+cu121, 0.17.1, 0.17.1+cpu, 0.17.1+cu118, 0.17.1+cu121)
ERROR: No matching distribution found for torchvision==0.6.0+cu121
ERROR: Ignored the following yanked versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.15.0
ERROR: Could not find a version that satisfies the requirement torchvision==0.6.0+cu121 (from versions: 0.1.6, 0.2.0, 0.12.0, 0.12.0+cpu, 0.12.0+cu113, 0.12.0+cu115, 0.13.0, 0.13.0+cpu, 0.13.0+cu113, 0.13.0+cu116, 0.13.1, 0.13.1+cpu, 0.13.1+cu113, 0.13.1+cu116, 0.14.0, 0.14.0+cpu, 0.14.0+cu116, 0.14.0+cu117, 0.14.1, 0.14.1+cpu, 0.14.1+cu116, 0.14.1+cu117, 0.15.0+cpu, 0.15.0+cu117, 0.15.0+cu118, 0.15.1, 0.15.1+cpu, 0.15.1+cu117, 0.15.1+cu118, 0.15.2, 0.15.2+cpu, 0.15.2+cu117, 0.15.2+cu118, 0.16.0, 0.16.0+cpu, 0.16.0+cu118, 0.16.0+cu121, 0.16.1, 0.16.1+cpu, 0.16.1+cu118, 0.16.1+cu121, 0.16.2, 0.16.2+cpu, 0.16.2+cu118, 0.16.2+cu121, 0.17.0, 0.17.0+cpu, 0.17.0+cu118, 0.17.0+cu121, 0.17.1, 0.17.1+cpu, 0.17.1+cu118, 0.17.1+cu121)
ERROR: No matching distribution found for torchvision==0.6.0+cu121
Ei get this error when trying to open stable diffusion 
venv "E:\stable-diffusion-webui-XL\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: v1.8.0
Commit hash: bef51aed032c0aaa5cfd80445bc4cf0d85b408b5
Traceback (most recent call last):
File "E:\stable-diffusion-webui-XL\stable-diffusion-webui\launch.py", line 48, in <module>
main()
File "E:\stable-diffusion-webui-XL\stable-diffusion-webui\launch.py", line 39, in main
prepare_environment()
File "E:\stable-diffusion-webui-XL\stable-diffusion-webui\modules\launch_utils.py", line 386, in prepare_environment
raise RuntimeError(
RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check
Press any key to continue . . .
venv "E:\stable-diffusion-webui-XL\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: v1.8.0
Commit hash: bef51aed032c0aaa5cfd80445bc4cf0d85b408b5
Traceback (most recent call last):
File "E:\stable-diffusion-webui-XL\stable-diffusion-webui\launch.py", line 48, in <module>
main()
File "E:\stable-diffusion-webui-XL\stable-diffusion-webui\launch.py", line 39, in main
prepare_environment()
File "E:\stable-diffusion-webui-XL\stable-diffusion-webui\modules\launch_utils.py", line 386, in prepare_environment
raise RuntimeError(
RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check
Press any key to continue . . .
Fok here what you can do
Ffirst of all have Python 3.10.11
Fthen
Factivate venv
Fthen
FFthen
FFI got a good news guys
FI am dealing with a cloud computer provider
Ffrom 31 cent we will be able to use A6000 
Fcurrently the template will have automatic1111 , kohya and one trainer with ubuntu desktop