>#stablediffusion #characterdesign #conceptart #digitalart #machinelearning #dreambooth #style #LoRA #digitalillustration #aiart #style #automatic1111 #kohya #redjuice #vofan #lucy #cyberpunkedgerunners #aqua #kingdomhearts
CAPTIONING GUIDE (2/23/23) by u/SecureWeeb on Reddit: https://www.reddit.com/r/StableDiffusion/comments/118spz6/captioning_datasets_for_training_purposes/
LoRA paper: https://arxiv.org/abs/2106.09685
additional guides (very helpful):
https://rentry.org/2chAI_LoRA_Dreambooth_guide_english
https://rentry.org/59xed3#a-character-lora-will-be-baked-properly-if
low VRAM on local GPU card? check out this link: https://github.com/d8ahazard/sd_dreambooth_extension/wiki/Troubleshooting#low-vram
bmaltais GUI implementation of kohya’s sd-scripts: https://github.com/bmaltais/kohya_ss
bmaltais youtube channel: https://www.youtube.com/@BernardMaltais
kohya’s sd-scripts: https://github.com/kohya-ss/sd-scripts
kohya Google Colab trainer notebook (this is what I used in PART 2 of the video, NO LOCAL GPU required): https://colab.research.google.com/github/Linaqruf/kohya-trainer/blob/main/kohya-LoRA-dreambooth.ipynb
artist (VOFAN): https://twitter.com/vofan_tw
artist (redjuice): https://twitter.com/shiru
Find the art pieces in this video here:
https://www.artstation.com/artwork/lDVlq5
https://www.instagram.com/p/Co_D0p8v-di/
📳Links to models/LoRAs: https://pastebin.com/yHBqjm1v
💬 Discord channel: https://discord.gg/ZKX3Zym8FQ
🎭 Patreon: https://patreon.com/kasukanra
🎁 Tips/Donations: https://streamlabs.com/kasukanra/tip
🎉 Social Media:
📷 Instagram: https://www.instagram.com/kasukanra/
🎨 Artstation: https://www.artstation.com/kasukanra
🐦 Twitter: https://twitter.com/kasukanra
🐀 Twitch: https://twitch.tv/kasukanra
📩 art enquiries: kagurazaka@protonmail.com
Images may be fabricated and therefore not real. I am unaware of any illegal activities. Documentation will not be taken as admission of guilt.
Timestamps
00:00 Intro
00:35 Why is LoRA a new standard?
01:10 Required resources
02:03 Overview of video parts 1. local GUI and 2. Google Colab Notebook
02:46 Part 1. local GUI training
03:22 PC hardware specs
04:21 Dataset preparation
06:30 Batch renaming filetypes to a new filetype
07:34 Batch renaming attempt #2
08:03 BIRME cropping
09:00 BLIP captioning
10:56 How to write good captions
15:28 Captioning example #2
18:18 Creating project folder structure using kohya_ss GUI
23:10 Training parameters
27:13 Why the training steps in the console are different from max train steps
28:46 Console output after training commences
29:58 What you get after training finishes
30:46 Testing the style LoRA in AUTOMATIC1111 webui
32:28 Using x/y/z plot in scripts to vary parameters
35:20 Checking x/y/z plot in photoshop
38:56 Testing the final epoch LoRA
40:30 Verifying LoRA’s flexibility with prompting
45:15 Part 2. Anime style LoRA
45:20 Dataset preparation on redjuice/shiru artwork
46:23 Using AUTOMATIC1111 webui extension tagger
48:24 Modifying Danbooru style tags
51:28 Using the kohya LoRA DreamBooth colab notebook
1:00:43 Fixing the error that occurred
1:05:01 Preliminary testing of redjuice style LoRA
1:08:02 Checking x/y/z plot in photoshop
1:10:02 Combining character and style LoRAs
