dreambooth-training-guide
By nitrosocke
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by InB4DevOps)
dreambooth-training-guide | diffusers | |
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30 | 7 | |
595 | 27 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Python | ||
- | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dreambooth-training-guide
Posts with mentions or reviews of dreambooth-training-guide.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-13.
- [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.
diffusers
Posts with mentions or reviews of diffusers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-28.
- Why am I getting these mixed results training faces on SD 1.5? Please see first comment
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Detailed guide on training embeddings on a person's likeness
i use this fork (based on shivam's but with a twist) https://github.com/InB4DevOps/diffusers/ with 500 regularization images
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Want to make a model that is trained on a unique character/person? I made a guide on how to do it locally with Visions of Chaos and DreamBooth. Link to the FREE Guide and Study in the comments.
about the repo, i started with the shivamshirao since I only have 12 GB Vram, but after some time I have migrated to a fork of it: https://github.com/InB4DevOps/diffusers
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Dream Booth fast Collab Versus A1111 Local Dream Booth Extension
and add this fork of shivam which adds additional improvement by caching latents every so often: https://github.com/InB4DevOps/diffusers
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Dreambooth Extension for Automatic1111 is out
i'm using this dreambooth: https://github.com/InB4DevOps/diffusers
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I compared TheLastBen's Fast DreamBooth with my "Improved" DreamBooth training - you be the judge!
For the training of ("Improved" DreamBooth training)[https://github.com/InB4DevOps/diffusers/tree/main/examples/dreambooth] I used these (200 class images)[https://github.com/TheLastBen/fast-stable-diffusion/blob/main/Dreambooth/Regularization/Women] from TheLastBen's repo.
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"Improved" Dreambooth training - here's the source
The source can be found here: https://github.com/InB4DevOps/diffusers/tree/main/examples/dreambooth
What are some alternatives?
When comparing dreambooth-training-guide and diffusers you can also consider the following projects:
sd_dreambooth_extension
REGULARIZATION-IMAGES-SD - Regularization images for Dreambooth SD
StableTuner - Finetuning SD in style.
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stable-diffusion-webui - Stable Diffusion web UI
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
dreambooth-gui
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
DiffusionToolkit - Metadata-indexer and Viewer for AI-generated images
stable-diffusion-webui - Stable Diffusion web UI
dreambooth-training-guide vs sd_dreambooth_extension
diffusers vs REGULARIZATION-IMAGES-SD
dreambooth-training-guide vs StableTuner
diffusers vs diffusers
dreambooth-training-guide vs stable-diffusion-webui
diffusers vs fast-stable-diffusion
dreambooth-training-guide vs dreambooth-gui
diffusers vs sd_dreambooth_extension
dreambooth-training-guide vs stablediffusion
diffusers vs DeepFaceLab
dreambooth-training-guide vs DiffusionToolkit
diffusers vs stable-diffusion-webui