dreambooth-training-guide
dreambooth-gui
dreambooth-training-guide | dreambooth-gui | |
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30 | 24 | |
595 | 364 | |
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10.0 | 1.8 | |
over 1 year ago | over 1 year ago | |
TypeScript | ||
- | MIT License |
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dreambooth-training-guide
- [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.
dreambooth-gui
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Useful Links
DreamBooth Easy GUI (10GB VRAM) Easiest to use with a nice Web UI.
- People ask me: "How can it be you're paying hundreds of euros for training a single model?" Me:
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Mild drama around people copying a popular artists artstyle
You can do that with Dreambooth, but you need a powerful graphics card with over 10GB of VRAM. Here's a link to the Dreambooth GitHub. I know that there are also paid services that can train models for you, but I've never used them so I don't know how reliable they are.
- Favorite Dreambooth repo/notebook?
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(Question) workflows to install automatic111 webui dreambooth on WSL Ubuntu through windows?
Just use: https://github.com/smy20011/dreambooth-gui
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Can someone please help me get a local Dreambooth option working? I've tried the AUTOMATIC1111 extension and the dreambooth-gui with WSL and get errors no matter what I try (for 2 weeks now).
I've tried the d8ahazard extension and the smy200011 version with Docker and WSL. I want to be able to use a GUI.
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DREAMBOOTH LOCAL Training Inside Stable Diffusion Tutorial
Use Dreambooth GUI instead. I am doing it easily on a 2080TI 11GB ram.
- Dreambooth Extension for Automatic1111 is out
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Can I make my own .ckpt file locally with SD?
GitHub - smy20011/dreambooth-gui
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Don't overpay for dreambooth training!
I'm the author of Dreambooth training UI and spend a lot of time with the Dreambooth community. I recently see a lot of post about paid dreambooth training and worried when I see the price they charge.
What are some alternatives?
sd_dreambooth_extension
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
StableTuner - Finetuning SD in style.
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui - Stable Diffusion web UI
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
DiffusionToolkit - Metadata-indexer and Viewer for AI-generated images
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.