So coming across this post by u/depfakacc, I discovered that you can not only introduce styles and artists that the standard 1.4 model doesn't have, but you can drastically save on your token count. Let's analyze:

For each of the results below, I've used:

Negative Prompt:

((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing))

Steps: 30, Sampler: Euler a, CFG scale: 7.5, Seed: -1, Face restoration: CodeFormer, Size: 512x512, Model hash: 7460a6fa, Model: Standard 1.4.

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For the actual prompt, I've used:

"((victorian)) female cowboy dressed as lucky luke, in the style of star wars, digital art by yoji shinkawa and piotr jablonski"

https://preview.redd.it/v3aujlulfdu91.png?width=1024&format=png&auto=webp&s=f4c363ef9bb2be34fcd1b18d33da750123050446

Not bad for a relatively simply prompt! But these can be improved. Notice how this prompt counts for 29 tokens.

After going through the SD textual inversion embeddings created by amazing people (https://cyberes.github.io/stable-diffusion-textual-inversion-models/), I downloaded 4 embeddings I called embed_cartoon_lucky_luke, embed_style_star_wars, embed_artist_yoji_shinkawa and embed_mood_grandiose_jablonski.

Now let's remake the prompt using these embeddings:

"((victorian)) female cowboy dressed as embed_cartoon_lucky_luke, in the style of embed_style_starwars, digital art by embed_artist_yoji_shinkawa and embed_mood_grandiose_jablonski"

https://preview.redd.it/awcz3gwcidu91.png?width=1024&format=png&auto=webp&s=ec8839c8992929d66b82b866b0b45cbc100eafff

So much cooler! I'm using only 19 tokens, which is much more efficient. I'm also getting more precise and chaotic results. This is because embeddings are trained on extremely specific, "supercharged" styles. Definitely extremely useful to use sparingly in cases where you want a specific style/subjet, but finicky when combined all at once.

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TL;DR: embeddings are more efficient, precise but potentially more chaotic. Used sparingly, they can drastically improve a prompt.

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Enjoy!