This is a checkpoint trained from MJ 5.1 data from a random sampling over a single day's worth of upscaled images.

It was started from stabilityai/stable-diffusion-2-1 with a mix of 22,000 synthetic images and about 7,000 real photos.

MJ data was captioned by its users. Real photos were captioned by BLIP using the Salesforce model on top of the SD 2.1 text encoder.

Some helpful terms:

• UHD

• 8K

• Sharp

• best quality

• midjourney / midjourney's

Here are the most frequent terms in the training data captions:

• in: 7348

• and: 6337

• with: 6110

• style: 3331

• on: 3097

• white: 2643

• background: 2380

• black: 2289

• realistic: 1937

• art: 1589

• an: 1422

• .png: 1344

• beautiful: 1313

• full: 1228

• light: 1200

• is: 1192

• hair: 1192

• detailed: 1189

• woman: 1109

• from: 1108

• for: 1075

• logo: 1013

• wearing: 1013

• body: 1012

• dark: 1004

• to: 998

• high: 987

• blue: 949

• beta: 933

• 8k: 928

• illustration: 915

• man: 915

• red: 904

• cute: 889

• photo: 873

• at: 857

• as: 849

• design: 837

• relaxed.png: 787

• cartoon: 761

• colors: 745

• old: 714

• portrait: 709

• ultra: 692

• fantasy: 682

• eyes: 680

• green: 678

• 4k: 667