no commercial license to pay?
no commercial license to pay?
Fwith private consultation
Flet me look licence
FGitHub
Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis - PixArt-alpha/PixArt-alpha
Sit seems that is free commercial use
S
Famazing
Sno training on this new model yet right?
DThanks to @Dr. Furkan Gözükara , Kaggle (for this wonderful free platform) , Hugginface( for huge space and repository)
Donce this project is over , next will be animatediff (hopefully you come out with similar guide for us sooon :D)
Djust found lower numbered lora dont even take the prompts at all..it just isnt trained or trained too much on the training images..
AWill you have a tutorial on using esrgan models @Dr. Furkan Gözükara ?
Dnot having much fun with dreambooth checkpoints .. 
GN anyway...
GN anyway...
NHi everyone, what I noticed is that my CN on SD RunPod is this version: v1.1.313, and it doesn't update to the higher version.
NI've tried everthing from tutorials but didn't work
NI am using RunPod's Template
JStable Diffusion XL (SDXL) DreamBooth Training eror (((
JFile "/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 : 2023-11-27_18:01:49
host : c4565fefbe4d
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 1053)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 1053
=====================================================
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 : 2023-11-27_18:01:49
host : c4565fefbe4d
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 1053)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 1053
=====================================================
MI discover the hidden things of Prodigy. For example, if I don't have 25 pictures, but 21 or 26, I get more exciting results. For example, with 26 images, I had to lower the d_coef from 1.02 to 0.85, and even then Lora was a bit strong.
Even at 21 images it might be too strong if I set it to 4 repetitions instead of 5. So there are still some small things to explore, but the fact is that whether Lora is stronger or weaker, it still gives a nice result, as long as I fine tune its flexibility.
Even at 21 images it might be too strong if I set it to 4 repetitions instead of 5. So there are still some small things to explore, but the fact is that whether Lora is stronger or weaker, it still gives a nice result, as long as I fine tune its flexibility.
MHere is a sample from SD 1.5 with 768x768 and without Hires Fix
MI trained model with 512x512 images
TDoes anyone know the formula for number or regularization images? Something like repeats * train image count / batch size == reg images?
JI can't use more than 13 training photos. error
TIncluding the error in your message might help
Fthey have script but 0 info
Fgood job
Fyou just put them into folder test
Fbut i plan to do
Fcan you tell me templat ename
Fthis doesnt tell the error
Fcan you record video and send me from dm
Frepeat * train count
Fyou can use
NRunPod has two SD templates, one is fast, I am using the other one. it's webui 10.2.1
Fok i have web ui controlnet installer
FDJust throwing an idea, how will be the outcome of Lora trained with base model used from the output of dreambooth..
Dusing extra weight to lora and ohwx woman only brings out better results for me(my trained lora) , giving atleast 1.1 to lora and ((ohwx woman)/ ohwx woman:2 gives better results
LOr of this is not even the top option we have now, and there is a better way to make it with even more quality
AI have two custom models I trained in SDXL, I want to have them both in the same photo, how can I do this?
Awow what causes this? these colors arent in my training images at all :\
Rany tool to mass rename images, or have an easy tool to easily adjust filenames with drag / drop filename crumbs?
GBatch rename files and folders in a snap. Perfect for any kind of file renaming including music and photo files. Preview your files before renaming and undo erroneous renaming jobs.
Batch rename files and folders in a snap. Perfect for any kind of file renaming including music and photo files. Preview your files before renaming and undo erroneous renaming jobs.
NWhat is the most recent video about using dreambooth in google colab without a laptop with gpu
N@Dr. Furkan Gözükara You've released a lot of new stuff! Now I just have to find the time to study it all)
I don't understand how classes work, I've been trying to figure it out for how long, I can't get it. Physically, when we train a large model on characters, we roughly divide into a man and a woman. And if on subjects? Then every class is a subject? Car, Chair, Door, bag or sheep, Dragon, whale
And then I haven't seen anyone use the indicators, and here is the Reg_1 folder, how the learning structure should look in it. How to write files in it and what should they be?
I don't understand how classes work, I've been trying to figure it out for how long, I can't get it. Physically, when we train a large model on characters, we roughly divide into a man and a woman. And if on subjects? Then every class is a subject? Car, Chair, Door, bag or sheep, Dragon, whale
And then I haven't seen anyone use the indicators, and here is the Reg_1 folder, how the learning structure should look in it. How to write files in it and what should they be?
Flooks like that service D-ID and eleven labs
Fextract lora and do regional prompting
Fi would use chatgpt to get written easy python script
Pguys, i got 770 images of dataset. how many steps should i set to train it on kaggle? it takes 2 minutes per step.....
Fi have kaggle sdxl dreambooth
FYouTubeSECourses
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...