your repeat or epoch too many
your repeat or epoch too many
Mso it would be easier with patreon?
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=40)
DFooocus has Python 3.10.9 built-in to the install.
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=16)
Fit has
Fi have auto installer too
F100%
DI found an auto installer on Patreon for Kaggle and Runpod, but try as I might I couldn't find the one for straight-up Windows.
DI know you made one because I have it installed on my other machine.
MAn information. With the $5 patreon, do I unlock all content, including what interests me?
DI believe you do and it is well worth the investment.
DHe is releasing new scripts regularly as well for different purposes.
DYou can see a list of all his Patreon content on his Github repository.
DGitHub
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, R...
DEvery post is updated anytime it is necessary and posted here on Discord to let us know we need to update.
Fnew amazing script
FF
MOf course I will! I just wanted to know if anything changed between the subscription plans
VAhh, so I should divide the default of 40 repeats by 6 if using 6 GPUs? Will experiment, thank you
Fall plans have access to all scripts
Fbut if you higher i appreicate
Fif you are using 6 gpus
Fthen you need to divide it to 6
Fbecause batch size will be 6
MOkay, Just signed up. Thank you so much!
Fawesome welcome
Fthis is really hard
Fi am yet to investigate them further
SJust found the issue, looks related to the scheduler https://github.com/huggingface/diffusers/issues/5433
GitHub
Describe the bug All DPM++ schedulers are showing visual artifacts out of the base model when denoising_end=1 (skipping the refiner). This effect is most notable with DPM++ 2M SDE configured using ...
Fthese fooocus styles are amazing :d
Fthe kohya GUI doesnt show multi GPU. so when you use 6 GPUs your actual batch size is being 6. it duplicates training on all
Fso you need to setup your number of epochs or repeating accordingly
VI stopped using the kohya GUI because I couldn't see how to enable multi-gpu, so I've just been using a command line argument. This is the argument:
I've tried this with a batch size of 1 and 2. 2 is actually slower than 1, and anything higher than 2 gives me an out of memory error.
I've gone ahead and tried doing a repeat of 40 on the original images, and now 7 (close enough to 40 / 6).
Changing that didn't change the total number of optimization steps, which was always 9600, or the time to complete training. I think it just wanted to do more epochs.
After changing the repeats to 7 and removing the flag for
I tried using the
I've tried this with a batch size of 1 and 2. 2 is actually slower than 1, and anything higher than 2 gives me an out of memory error.
I've gone ahead and tried doing a repeat of 40 on the original images, and now 7 (close enough to 40 / 6).
Changing that didn't change the total number of optimization steps, which was always 9600, or the time to complete training. I think it just wanted to do more epochs.
After changing the repeats to 7 and removing the flag for
--max_train_steps="9600"I tried using the
--ddp_gradient_as_bucket_viewAfter all this, using just a single 4090 with your default settings gives me a training time of 3 hours @ 8 epochs and 9600 steps versus 4+h on 6 4090s.
Sorry for being a mess! I just don't understand what I'm doing wrong to mess up multi-gpu training so badly. Thank you for all that you're doing to help us though!
Sorry for being a mess! I just don't understand what I'm doing wrong to mess up multi-gpu training so badly. Thank you for all that you're doing to help us though!
Fkohya gui only prepares this command
Faccelerate is the one that does distributed training
Fi can give you private consultation if you need
MAnyway, I'm following the tutorial. It's amazing!
AHow come img2img doesn't work?
Ait just barely changes the color and makes my character ruffled up
Atxt2img works fine for a realistic mouse
S@Dr. Furkan Gözükara sorry for the delay. Heres screenshots of my adetailer settings. I have also used the photo of ohwx man prompt. Also could DM photos if you want to see examples of with/without adetailer
Sin response to this
VThank you for the offer! I was able to discover to 4090 GPUs don't have NVLink, whoops, haha
MGuys just a question, once I've configured everything and run kaggle, is there a way to save the settings after running a session?
Sif you're referring to training, download the .json file and next time you need to use it, upload it. if you're referring to generating images in kaggle, you can upload a png (such as the last image you generated) with the desired settings to "png info" and then send those settings to txt2img
MGood morning! I just wanted to ask for information. To generate images with your own face, use the checkpoint (https://www.youtube.com/watch?v=16-b1AjvyBE&t=1883s), while in this other video, use the lora (https://youtube .com/watch?v=JF2P7BIUpIU&t=1260s)
YouTubeSECourses
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 ...
Bthese are different training methods
BIve tested a few trainings with your SDXL dreambooth, then lora extraction method, no captions and using reg images but when I generate images using the LORA, it doesnt resemble the subjects face
