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dreambooth-training-guide reviews and mentions
- [Sdforall] L'extension Dreambooth pour Automatic111 est sortie
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Creating own model like the ones on civitai.com
I dont have the time right now, but the rule of thumb for me was 80 unet learning steps for 1 image. Atleast 40 regularization images. Read more about regularization images here: https://github.com/nitrosocke/dreambooth-training-guide
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Image background for LORA training images
This tutorial for dreambooth training has advice with regard to backgrounds which is probably also applicable to LORA. It recommends including images with solid, non-transparent backgrounds but not using them exclusively. Images that focus on the torso and face are probably most important unless your subject has very distinctive legs and feet. Removing other subjects is a must if you're training for a specific subject.
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Non-technical tips for ideal training of Stable Diffusion through Dreambooth?
I found this, I'm going to go through this guide. Seems like I am using far too many images. https://github.com/nitrosocke/dreambooth-training-guide
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Questions about Regularization Images to be used in Dreambooth
Nitrosocke's guide already tells how much and what kind of images to use.
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What’s going to be a problem 20 years from now that people are choosing to ignore?
Dreambooth lets you do it in less than 100 images. https://github.com/nitrosocke/dreambooth-training-guide These folks say it's 5-15 to train on a person but I've not tested myself. https://www.reddit.com/r/StableDiffusion/comments/10tqy88/were\_launching\_a\_lightningfast\_dreambooth\_service/
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We’re launching a lightning-fast Dreambooth service: finetune 1’500 steps in 5min!
See eg this tutorial for styles: https://github.com/nitrosocke/dreambooth-training-guide
- Would it be possible to pretrain generation to mimic my art style?
- Dreambooth model training : dataset labelling
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Introducing Macro Diffusion - A model fine-tuned on over 700 macro images (Link in the comments)
The first time I tried to Dreambooth a style it went poorly. Then I found Nitrosocke's Dreambooth Training Guide and realized my problems were caused by a poorly redacted dataset.
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