i have the problem where i cant generate images, is my problem not having the correct checkpoint?
i have the problem where i cant generate images, is my problem not having the correct checkpoint?
Fshow error here
Bthis is the cmd prompt when i click generate
Fsadly dont show error here
For at least nothing obvious
Bthis is what is below where image is supposed to be
Bdo i need sdxl to generate images?
Fno you can generate with sd 1.5 too
Fadd your
Fcommand line arguments
F--no-half
Bdo i put that in the webui-user batch file?
Bi gotta somehow get sd 1.5 now
Fread here please
F@Bophedes
Bwhere did you want me to read?
Fhere
FGitHub
I'm using RX6600 and my parameteres are: --medvram --precision full --no-half --opt-sub-quad-attention --sub-quad-q-chunk-size 512 --sub-quad-kv-chunk-size 512 --sub-quad-chunk-threshold 80 Is ...
Fdoing R&D for a client 
Bim assuming this goes in the params folder of the stable-diffusion-webui. it doesnt say where they put the parameters
Fparameter are put into
Fwebui . bat file
Bahhh, its taking a while but an image is generating
Bwe are getting somewhere!!!
Bi think i need cuda, what that may be
SWhat are your opinions on identical training parameters but different GPUs and how that relates to quality? i.e. It seems to me that when I train on a 4090, the results are superior than if I train on a A5000 - this is with identical training parameters. I would expect some speed differences, but not quality. Am I crazy? Has anybody else noticed similar things?
Chello can i talk to you on DM's pls
SI don't think anything else is using my VRAM, unless it's starting simultaneously.
This is right before:
This is right before:
S
SThis is after:
S
CWhat is your favorite SDXL model?
KJuggernaught
CAlright thx, I checked around civit and gonna test out Realism Engine SDXL and New Reality XL
CDo you know difference of Juggarnaut V7+RunDiffusion and V7 FP16 VAE Fix ?
KNope
KPrecission maybe
KDon't think there is a big difference
OHey guys, I've been trying to train lora SDXL but I seem to always run out of CUDA in runpod, despite not running anything.
My parameters are just like in SEcourse videos, i'm running in 3090 runpod with 24gb vram
My parameters are just like in SEcourse videos, i'm running in 3090 runpod with 24gb vram
O
OI also got Untyped Storage error like this
MAfter a couple of weeks I find that d_coef 0.75 is enough for SD 1.5 Lora prodigy training, but if it is strong, 0.6 helps. You don't need to make it stronger to train persons. This is true for 5 reps for 20 pictures, 4 reps for 25 pictures (20x5=25x4=100).
Bhey, where you get that cuda? i get an error saying i need it
Owhat do you mean? i mean if you use nvidia gpu it already has cuda memory no?
Byea nah i have an AMD Radeon RX 6600XT. if i had an nvidia id probably have less problems
PI tried training on 1.5 in Kohya but it has been performing very slowly. If I discover the settings I will let you know.
Blook up the messages from mikemenders in this channel here, he researched a lot and posted a lot of tipps and configurations for sd 1.5
JHi guys, If I want to create a fictitious person (that does not exist as a base) how should I do? I want to create a model girl
JBecause I learned about creating with a base person, but now I want to create from a fictitious person
DHello everyone, I have a quick question. I'm currently training a stable diffusion model using Kaggle, and I'm wondering about the required resolution for the training images. Do they need to be 1024x1024 pixels? I'm asking because my images are currently 512x512 pixels. I'm looking for clarification on this point,
as suggested by the information in this video: Stable Diffusion Training Guide on YouTube.
as suggested by the information in this video: Stable Diffusion Training Guide on YouTube.
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 ...
Dif it a sdxl model, I think you need 1024x1024 images for training