Regal Persian Cat Portrait
MidjourneyRegal Persian Cat Portrait is a tested Midjourney v7 prompt for pet portrait work. It runs at Midjourney v7 · Aspect ratio 3:4 · Stylize 250, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.
Last tested: July 2026 with Midjourney v7
Part of the Midjourney prompt library.
Prompt
A regal Persian cat portrait, long cream fur and amber eyes, sitting on a velvet cushion in a softly lit library, shallow depth of field, classical pet portrait style, no text --ar 3:4 --stylize 250
Settings
- Model
- Midjourney v7
- Aspect ratio
- 3:4
- Stylize
- 250
How to use this prompt
Persian cats are defined by their flat face and long coat, so name the breed — otherwise Midjourney defaults to a generic shorthaired cat. The velvet cushion and library background give the portrait an upscale context that justifies the "regal" framing; a plain backdrop makes it look like a phone snapshot. Shallow depth of field keeps the focus on the eyes, but ask for "amber eyes" specifically so the gaze becomes the emotional anchor.
Variations to try
- Black Persian in dramatic light — glossy black fur, single soft window light, moody portrait
- Two cats on a chaise — pair portrait for a luxury pet-brand campaign
What to do next
Adapt it →
Open this prompt in the Midjourney builder, pre-filled, and change one layer at a time.
Explore more →
Browse the full Midjourney prompt library — every entry tested with its settings.
For developers — copy this prompt as JSON
{
"title": "Regal Persian Cat Portrait",
"prompt": "A regal Persian cat portrait, long cream fur and amber eyes, sitting on a velvet cushion in a softly lit library, shallow depth of field, classical pet portrait style, no text --ar 3:4 --stylize 250",
"model": "Midjourney",
"model_version": "v7",
"settings": {
"aspect_ratio": "3:4",
"stylize": 250
},
"style_tags": [
"classic",
"portrait"
],
"use_case_tags": [
"pet-portrait",
"wall-art"
],
"source_url": "https://promptkoi.com/prompts/midjourney/regal-persian-cat-portrait/"
}The whole library is available as an open JSON dataset · developer docs.
