open styles.csv in auto111 folder, and copy lines what you need.
open styles.csv in auto111 folder, and copy lines what you need.
Abeen trying since latest video/v12 patreon file
Aand I still get error when following video exactly
Aterminate called after throwing an instance of 'std::runtime_error'
what(): [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=3, OpType=ALLREDUCE, Timeout(ms)=1800000) ran for 1802349 milliseconds before timing out.
97%|████████ | 1564/1616 [30:03<01:00, 1.16s/it]Traceback (most recent call last):
File "/opt/conda/bin/accelerate", line 8, in <module>
sys.exit(main())
File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 47, in main
args.func(args)
File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 977, in launch_command
multi_gpu_launcher(args)
File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 646, in multi_gpu_launcher
distrib_run.run(args)
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 134, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
=====================================================
./sdxl_train.py FAILED
-----------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
-----------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2023-11-30_18:48:48
host : a99b8429df2b
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 1082)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 1082
=====================================================
what(): [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=3, OpType=ALLREDUCE, Timeout(ms)=1800000) ran for 1802349 milliseconds before timing out.
97%|████████ | 1564/1616 [30:03<01:00, 1.16s/it]Traceback (most recent call last):
File "/opt/conda/bin/accelerate", line 8, in <module>
sys.exit(main())
File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 47, in main
args.func(args)
File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 977, in launch_command
multi_gpu_launcher(args)
File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 646, in multi_gpu_launcher
distrib_run.run(args)
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 134, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
=====================================================
./sdxl_train.py FAILED
-----------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
-----------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2023-11-30_18:48:48
host : a99b8429df2b
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 1082)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 1082
=====================================================
Mthanks !!
Ano to save the prompt
Ahow did u manage to add a save icon there
M1. Copy your prompt to Clipboard
2. click on edit icon
3. Type a title in first text box
4. inert prompts
5. save.
2. click on edit icon
3. Type a title in first text box
4. inert prompts
5. save.
Awhy cant i have a button like him
Ahe using old version ?
MYes, in newer version no save button, sorry. Unfortunately, the PR that would have brought back is closed:
https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14014
https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14014
GitHub
restore save button
Description
see problem here
Screenshots/videos:
#13339
Checklist:
I cherry picked this code
[ 1] I have read contributing wiki page
[1 ] I have performed a self-review of my ...
Description
see problem here
Screenshots/videos:
#13339
Checklist:
I cherry picked this code
[ 1] I have read contributing wiki page
[1 ] I have performed a self-review of my ...
Fsave what?
Fi prefer to use latest dev branch
Ayes im using latest.. coulndt find the save method.. got it now
FStable Diffusion XL (SDXL) vs PIXART-α (pixart-alpha github io) with my auto installer modified and improved gradio
PIXART-α is definitely better and only OSS…
PIXART-α is definitely better and only OSS…
BI asume you didn't train yet with Pixart? They just updated their repo and now collaborate with the LCM Team
(
New) Nov. 30, 2023. 
PixArt collaborates with LCMs team to make the fastest Training & Inference Text-to-Image Generation System. Here, Training code & Inference code & Weights & Demo are all released, we hope users will enjoy them. Refer to docs for more details. At the same time, we update the codebase for better user experience and fix some bugs in the newest version.
(
New) Nov. 30, 2023. PixArt collaborates with LCMs team to make the fastest Training & Inference Text-to-Image Generation System. Here, Training code & Inference code & Weights & Demo are all released, we hope users will enjoy them. Refer to docs for more details. At the same time, we update the codebase for better user experience and fix some bugs in the newest version.Fi havent trained yet
Fthey ddont have any example how to train lol
KPixart is fast! Same time to render a 512x512 as 2048x2048.... Wierd!
KAlways seem to get this "dotted" images though
Fuse my auto installer i have no such issue
KI have used your installer
Fi made amazing comparison list here
Fwhat is your prompt i can try
KFord mustang driving fast down a runway
KJust tried something
KNothing fancy, nothing well thought through
KSA-Solver almost seem better?!
KI don't get how it works 
512x512 takes the same time as 2048x2048 and produces the same image
512x512 takes the same time as 2048x2048 and produces the same imageKAlso resolution has NO impact on VRAM
KThis is somewhat impressive
Fye this prompt is broken :d
F
Faccurate
Ftry this prompt
Fbeautiful, vibrant phoenix portrait in the dark sky spreading wings, highly detailed, hyper realistic, best quality
K
Fi think because when you increase resolution
Fit still generates 1024x1024
Fand upscale haha
Kbut when you generate 512... It downscales?!
KIt takes the same time, so
Fi didnt test 512 yet
Fye it doesnt generate higher res
KIt's the same, just better quality
KExplains things
Ftesting right now
KI really, REALLY wish we had access to Midjourneys upscale function!
K256x256 didn't downscale though
KHorrible quality