Go to file

Victor Hall 0e205b25a1 Merge pull request #117 from qslug/retain-tag-order Prioritize tags, `image > local > global`, but respect weights		2023-03-20 20:00:41 -04:00
.devcontainer	Streamline Vast/Runpod docker	2023-02-27 02:50:57 +01:00
.github	update docs	2023-03-19 00:59:17 -04:00
cfgs	update coco example cfg	2023-02-25 16:37:10 -05:00
data	Prioritize tags, `image > local > global`, but respect weights	2023-03-21 00:15:53 +01:00
doc	Update docs around configuring captions and other image config	2023-03-19 15:55:29 +01:00
docker	Back to xformers cowboy update process	2023-03-12 23:00:09 +01:00
scripts	early iter on txt2img script for testing on remote instances	2023-01-23 16:51:00 -05:00
test	Prioritize tags, `image > local > global`, but respect weights	2023-03-21 00:15:53 +01:00
utils	Add support for enhanced dataset configuration	2023-03-08 15:02:14 +01:00
.gitignore	Streamline Vast/Runpod docker	2023-02-27 02:50:57 +01:00
.pylintrc	gitignore	2022-12-17 22:34:07 -05:00
LICENSE	update license for 2023	2023-01-27 13:59:02 -05:00
LICENSE_AGPL	update license for 2023	2023-01-27 13:59:02 -05:00
README.md	update docs	2023-03-19 00:59:17 -04:00
Train_Colab.ipynb	update sleep timer for disconnet	2023-03-14 00:24:29 -05:00
Train_JupyterLab.ipynb	Make manual model download optional	2023-03-13 00:57:27 +01:00
activate_venv.bat	hey look ed2	2022-12-17 22:32:48 -05:00
caption.py	early alpha of caption script	2023-03-20 09:21:13 -04:00
chain.bat	update ed1 mode	2023-01-09 13:44:51 -05:00
chain0.json	chaining and more lowers resolutions	2023-01-08 18:52:39 -05:00
chain1.json	chaining and more lowers resolutions	2023-01-08 18:52:39 -05:00
chain2.json	chaining and more lowers resolutions	2023-01-08 18:52:39 -05:00
optimizer.json	documentation of new text encoder LR and aspect_ratio settings	2023-03-02 22:36:11 +01:00
sample_prompts.json	Update sample_prompts.json	2023-02-27 19:57:08 -06:00
sample_prompts.txt	hey look ed2	2022-12-17 22:32:48 -05:00
train.json	fix mem leak on huge data, rework optimizer to separate json, add lion optimizer	2023-02-25 15:05:22 -05:00
train.py	remove sort from dataset due to slowdown on large sets, add contribution readme	2023-03-18 22:24:03 -04:00
trainSD21.json	sd21 example json config	2023-01-26 12:07:28 -05:00
validation_default.json	consistent spelling	2023-02-07 18:21:05 +01:00
windows_setup.cmd	add lion to windows install	2023-02-25 16:36:04 -05:00

README.md

EveryDream Trainer 2.0

Welcome to v2.0 of EveryDream trainer! Now with more Diffusers, faster, and even more features!

For the most up to date news and community discussions, please join us on Discord!

If you find this tool useful, please consider subscribing to the project on Patreon or a one-time donation on Ko-fi. Your donations keep this project alive as a free open source tool with ongoing enhancements.

or .

If you're coming from Dreambooth, please read this for an explanation of why EveryDream is not Dreambooth.

Requirements

Windows 10/11, Linux (Ubuntu 20.04+ recommended), or use the linux Docker container

Python 3.10.x

Nvidia GPU with 11GB VRAM or more (note: 1080 Ti and 2080 Ti may require compiling xformers yourself)

16GB system RAM recommended minimum

Single GPU is currently supported

32GB of system RAM recommended for 50k+ training images, but may get away with sufficient swap file and 16GB

Ampere or newer 24GB+ (3090/A5000/4090, etc) recommended for 10k+ images

...Or use any computer with a web browser and run on Vast/Colab. See Cloud section below.

Video tutorials

Basic setup and getting started

Covers install, setup of base models, startning training, basic tweaking, and looking at your logs

Multiaspect and crop jitter

Behind the scenes look at how the trainer handles multiaspect and crop jitter

Companion tools repo

Make sure to check out the tools repo, it has a grab bag of scripts to help with your data curation prior to training. It has automatic bulk BLIP captioning for BLIP, script to web scrape based on Laion data files, script to rename generic pronouns to proper names or append artist tags to your captions, etc.