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Train Stable Diffusion and learn how to use Dreambooth
Introduction
๐ Hi there!
๐๐ปโโ๏ธ Training Stable Diffusion 101
๐ช Latent spaces
๐ค๐ผ The sweet spot
Dataset
๐จ๐ปโ๐ณ Intro to Datasets
๐งฉ Image selection
โ๏ธ Image resizing
Dreambooth part one: AI avatars
๐ธ Intro to Dreambooth
๐โโ๏ธ Our first Dreambooth model: creating AI avatars
๐ฉ๐ปโ๐ฆฐ AI Avatars method 1: Basic parameters (ShivamShrirao/diffusers)
ShivamShrirao/diffusers via Goolge Colab (14:25)
๐ฉ๐ปโ๐ฆฐ AI Avatars method 2: TheLastBen Dreambooth Exercise (TheLastBen/fast-stable-diffusion)
TheLastBen/fast-stable-diffusion via Google Colab (13:22)
๐ฉ๐ปโ๐ฆฐ AI Avatars method 3: Adding regularization images (TheLastBen/fast-stable-diffusion + regularization)
TheLastBen/fast-stable-diffusion with regularization images via RunPod (14:27)
๐ช AI Avatars: Dreambooth method comparison
Dreambooth comparison
Dreambooth part two: replicating styles
๐จ Dreambooth for replicating styles: how to create a model like Openjourney
๐ฎ Advanced captioning with EveryDream
EveryDream Autocaption via Google Colab (5:38)
๐ Training a style (TheLastBen/fast-stable-diffusion)
๐ Training a style II (TheLastBen/fast-stable-diffusion + reg. images - Style)
๐ชDreambooth style comparison
๐ A universe of fine-tuned models
๐ How to download and run fine-tuned models
Textual Inversion
๐ What is Textual Inversion?
๐ฉ๐ปโ๐ฆฐ Creating AI avatars using Textual Inversion
Textual Inversion: Automatic1111 via RunPod (Bonus AutoCaption) (17:11)
๐พ Let's have some fun
๐ Excercise: Textual Inversion Style
Lora
๐ฉ๐ปโ๐ซ Lora 101
๐Training a Lora style (Koyha-Lora-Dreambooth)
Koyha LORA Dreambooth via Google Colab (11:28)
๐ฉ๐ปโ๐ฆฐ Exercise: Training a Lora Avatar (Koyha-Lora-Dreambooth)
Fine tuned models
๐ฃ Fine tuned 101
๐ฉ๐ปโ๐ฆฐ Fine tuned Avatar (24 images)
EveryDream Trainer via RunPod - Avatar (24 images) (11:58)
๐ Fine tuned Fashion (1050 images)
EveryDream Trainer via RunPod - Fashion (1050 images) (7:09)
๐ฆ Fine tuned Openjourney (124000 images)
Extra
๐ Useful resources
๐ Prompt Cheatsheet
๐ Create your own prompt library
๐ You did the thing!
๐ฅณ Congratulations! One last thing
๐ฅ Get your certificate!
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๐ช Latent spaces
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