>a bunch of things to help in Stable Diffusion. use this video as a reference for getting started in training your own embeddings.
This is the part 2 video, how to train embeddings:
https://youtu.be/D5Kpsthh1ts
00:00 – intro
00:39 – install and work with it first
01:08 – check your VRAM
01:56 – setup your batch files
05:05 – get models and embeddings
06:34 – upscalers
08:08 – VAE’s
08:49 – change some stable diffusion settings
12:45 – create custom training template file
13:35 – install apps and repositories
previous videos:
Install Stable Diffusion on PC | Automatic1111 | 2023
https://youtu.be/MwHFsasTDiI
How to use Stable Diffusion on PC | Automatic1111 | 2023
https://youtu.be/St7LvmDPfC0
webui-user.bat:
set COMMANDLINE_ARGS=–xformers –no-half-vae –precision full –no-half
webui-vanilla.bat:
set COMMANDLINE_ARGS=
Models:
https://huggingface.co/runwayml/stable-diffusion-v1-5
https://civitai.com/models/4201/realistic-vision-v20
Upscalers:
8x_NMKD-Superscale_15000_G
https://huggingface.co/uwg/upscaler/tree/main/ESRGAN
8x_NMKD-Faces_160000_G
https://nmkd.de/shared/?dir=ESRGAN/Models/Faces<br />
The popular VAE’s:
Anything-v4.0.vae.pt
https://huggingface.co/andite/anything-v4.0/blob/main/anything-v4.0.vae.pt
Grapefruit.vae.pt
https://huggingface.co/iZELX1/Grapefruit/blob/main/Grapefruit.vae.pt
vae-ft-mse-840000-ema.pruned.safetensors
https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors
Settings stuff:
Settings – User Interface – QuickSettings List
sd_model_checkpoint, CLIP_stop_at_last_layers, sd_vae
images filename pattern:
[model_name]_[seed]
check the box:
Add number to filename when saving
Apps to download:
Irfanview
https://www.irfanview.com/main_download_engl.htm
Gimp
https://www.gimp.org/downloads/
GPU-Z
https://www.techpowerup.com/download/gpu-z/
Winrar
https://www.win-rar.com/download.html?&L=0<br />
Github repositories:
My github repository (optional)
https://github.com/robertJene/stableDiffusionAutomatic1111tools
Uses a python file from here to inspect training:
https://github.com/Zyin055/Inspect-Embedding-Training
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