usually more is better in training dataset as long as high quality
usually more is better in training dataset as long as high quality
Awand.ai helps to determine where styling gets lost as well 
Fthe model learned even the whites in my beard haha
F
AThats awesome
Fbut there is too much memorization because of my training set
Fi should get good different bg and clothing pictures
AOh I thought you wanted it like that
Fit is good but cant stylze
TWhats the minimum amount of dataset? Also, will it resume if I start it like in video?
TI mean will dataset training resume?
Zthey need to hurry up aand make it so us lower vram guys can dreambooth
Zor should i just rent a runpod with someone with a beast card, train my models, then use them in auto
AYou don't need an 80GB beast though, 24GB is fine unless you want to use Adan D-Adapatation Optimizer, then you need at least 32GB
AW&B can also send email or Slack notifications when your training completes 
Fi trained with 2 hours speech
Freally this is 32 gb?
Fwow
AOnly Adan D-Adaptation Optimizer, not the other D-Dadaptation optimizers, the others can all run on 24GB VRAM
AMaybe its a bug in Dreambooth training for the DB extension, because someone is using the DB extension to train LoRA with Adan D-Adapt with just 8GB: https://civitai.com/articles/52/d8ahazard-dreambooth-extension-guide
RSo do you advice better to train with 512 x 512 pixel image and SD 1.5 model ?
Fsd 1.5 much easier better
Falso using public models are even better
AW&B also helps you compare 4 different trainings to determine the optimal average epoch so you don't overtrain
Faccording to your aim
AWell can be much more than 4, just I have only done 4 so far
FW&B?
AWeights & Balances (wandb.ai)
Fi see paid service
AYou can enter your API key into Kohya_ss and EveryDream2trainer, not yet supported by Dreambooth extension but I logged a feature request to add it
AFree for personal and academic use.
Rokay so can I use your 512 x 512 Reg class man images of your Patreon for training ?
AI am not paying, I am using it for free
Fyes. make sure that you are using the correct model
Fnice
RYes I will use 512x512 images and SD 1.5 model for training
AI will maybe pay for it if I decide to use it commercially but just running experiments at the moment, so I have a personal account
Fyep
FDear, how are you? Anyone tried training Textual Inversion on an Apple M2 at a reasonable training time?
Zgenerated samples using the adan adaption optimizer using learning rate of 1e-3 and 5-e5 and get this
FI've a Macbook M2 16GB, is it viable or should I go with Colab/Runpod/etc?
AI think the guy on D8ahazard Dreambooth who already answered you is the only person who has experience using this stuff properly
AThe new optimizers are too new, not many people know how to use them yet.
AEspecially when the release notes have incorrect instructions on how to use them 
LI want to make a software in PHP to call A1111 (or raw SD) in which to call through the software API.
What it should do is to generate a mix from 2 images. So I'm thinking of an img2img in which I give img as input and net control or swap as the second image.
In fact, what I want is to make some stylized images (like a poster) in which I can swap faces with an uploaded face.
Does anyone have an idea how I could do this through the API?
What it should do is to generate a mix from 2 images. So I'm thinking of an img2img in which I give img as input and net control or swap as the second image.
In fact, what I want is to make some stylized images (like a poster) in which I can swap faces with an uploaded face.
Does anyone have an idea how I could do this through the API?
Avisit the A1111 URL and add
Also enable
/docs to the end of it to see API documentation.Also enable
--api in your launch command in web-user.*AFor img2img, the payload looks like this:
LYeah, I know that but dunno if I can add face swap addon az API call.
Awhere image_content is base64 encoded binary content of the image
Ltx