Go to file
Victor Hall 6e7e7f9e1f Merge branch 'main' of https://github.com/victorchall/EveryDream2trainer into main 2023-02-15 18:55:36 -05:00
.github funding 2022-12-17 22:35:43 -05:00
data make val optional, revert multiply algo 2023-02-08 13:04:12 -05:00
doc Update BASEMODELS.md 2023-02-14 12:41:50 -05:00
installers Add screenshots to docs 2023-02-11 00:50:54 +01:00
scripts early iter on txt2img script for testing on remote instances 2023-01-23 16:51:00 -05:00
test Add test for list data resolver 2023-01-29 17:21:12 -08:00
utils fix roundtript text_encoder 2023-02-13 17:00:53 +00:00
.gitignore Remove empty line 2023-01-26 12:17:09 +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 Add/Update doc for RunPod and Vast using ED2 image 2023-02-14 12:03:09 +01:00
Train_Colab.ipynb fix sd21 conversion in colab 2023-02-08 20:39:36 -05:00
Train_JupyterLab.ipynb Add/Update doc for RunPod and Vast using ED2 image 2023-02-14 12:03:09 +01:00
activate_venv.bat hey look ed2 2022-12-17 22:32:48 -05:00
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
sample_prompts.txt hey look ed2 2022-12-17 22:32:48 -05:00
train.json zero frequency noise option to improve contrast 2023-02-15 18:53:08 -05:00
train.py zero frequency noise option to improve contrast 2023-02-15 18:53:08 -05:00
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 ctrl-alt-pgup to generate sample 2023-01-12 00:40:49 -05:00

README.md

EveryDream Trainer 2.0

Welcome to v2.0 of EveryDream trainer! Now with more diffusers and even more features!

Please join us on Discord! https://discord.gg/uheqxU6sXN

If you find this tool useful, please consider subscribing to the project on Patreon or a one-time donation at Ko-fi.

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.

Docs

Setup and installation

Download and setup base models

Data Preparation

Training - How to start training

Basic Tweaking - Important args to understand to get started

Logging

Advanced Tweaking - More stuff to tweak once you are comfortable

Chaining training sessions - Modify training parameters by chaining training sessions together end to end

Shuffling Tags

Data Balancing - Includes my small treatise on model preservation with ground truth data

Validation - Use a validation split on your data to see when you are overfitting and tune hyperparameters

Cloud

Free tier Google Colab notebook

RunPod / Vast