Better at what? I ask seriously.
Better at what? I ask seriously.
MBecause the Lora is always adapted to the capabilities of the base model, so if the base model is good, the Lora will be beautiful.
MJust because there is no EMA training in lora, but there is in dreambooth?
MWhen I take Lora pictures of people under SD 1.5 that are almost 1:1 with the original image, I wonder why I need to make a dreambooth?
MBack when Lora came out, even I was training dreambooth. Then I took the Lora out of it, and the quality of the resulting Lora didn't deliver what the dreambooth could. However, the loras that have been trained recently can do what the extracted lora could not. The new optimizers give very good results with loras. When you train a model with dreambooth, you only train a small part of the whole model, not the rest. And Lora is just that small part. If I were to train a separate dreambooth model for each person, I would need several, many terrabytes of hard disk. Even the Lora's take up a lot of space.
Fquality
Fyou can use my auto installer
For follow this tutorial
FYouTubeSECourses
I show how to install Automatic1111 Web UI & ControlNet extension installation from scratch in this video. Moreover I show how to make amazing QR codes and inpainting and out painting of ControlNet which are very similar to Photoshop generative fill and Midjourney zoom out. Furthermore, I explain and show what are Canny, Depth, Normal, OpenPose...
F
VFurkan, see my messages to you, erros in checkpoint training on kaggle, thanks
AAny idea why rttensor is giving this weird message
Fyou are trying to train refiner
wont work
wont work
Fi think working
Fhit enter and wait
CThanks, I'll try
Vyour default .json will not be changed at all?
AOh cool ok! So now do I wait for the output section to finish saying processing?
A
Fyou can change
Fbut refiner cant be trained
Fno script supporting it
Fit is ready
FAOh wow, so now my images take about15 seconds with rt tensor
Fit almost double speed
ANo onnx file found please check the progress in the terminal. Thaty's what it says when installing on my other pc
Fyou need to generate again
ASays the same thing when hitting the button
Fsame what?
ANo onnx file found. I tried closing out of stable diffusion entirely but now stable diffusion won't open so I deleted VENV File and I will try again
Anvm the sd unet thing crashes when trying to generate
Fhave you watched these 2 tutorials
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 ...Ftensor rt prt at end
Fand this one
FYouTubeSECourses
Stable Diffusion Gets A Major Boost With RTX Acceleration. One of the most common ways to use Stable Diffusion, the popular Generative AI tool that allows users to produce images from simple text descriptions, is through the Stable Diffusion Web UI by Automatic1111. In today’s Game Ready Driver, NVIDIA added TensorRT acceleration for Stable Diff...
FLLaVA (Large Language-and-Vision Assistant) Chatbot and batch LLaVA captioning (the very best image captioning AI currently) Web APP added to the SOTA…
ANo idea why this is happening now
AI added the add-skip-torch-cuda test in webui but then nothing would generate at all
Fcan be thousands of things
Fwhen something like this
Fdelete venv and let it reinstall
Fusually fixes
ANope, how upsetting 
Fdo a fresh install with my auto installer
VThis is a very dumb question - why do we want the ability to mass caption images? Is this for object or concept training? (I’ve only attempted character/person training so far) Is there a tutorial for object or concept training. I’ve seen concepts like “jumping in the air” on CivitAI and wondered how they trained that.
Fit is useful if you are training with so many images and wants to caption
For mandatory for general fine tuning
Fi am trying to train a style for a client so i am experimenting
VI followed the person training a few months ago - back then, in general, I think the idea was not to caption for people if doing dreambooth training - is that still the case? In other words, when do we want to train with many many images?