Promptkoi

Proud Lion Portrait

Midjourney
By Varun Sharma Tested with Midjourney v7

Proud Lion Portrait is a tested Midjourney v7 prompt for wall art 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 · see more photorealistic prompts .

Proud male lion portrait with golden mane and amber eyes backlit by savanna sunset
Proud Lion Portrait — Midjourney v7, Aspect ratio 3:4

Prompt

A proud lion portrait, adult male lion facing forward with golden mane, warm savanna sunset backlight, detailed fur texture, intense amber eyes, shallow depth of field, no text --ar 3:4 --stylize 250 --ar 3:4 --stylize 250

Settings

Model
Midjourney v7
Aspect ratio
3:4
Stylize
250

How to use this prompt

Animal portraits need eye contact or a strong gaze to connect. Backlit fur creates a golden rim that separates the lion from the background, but the face still needs fill light so the eyes remain visible. A forward-facing pose is more powerful than profile for a portrait; the mane frames the face symmetrically.

Variations to try

  • Black-and-white lion — dramatic contrast for a gallery print
  • Lion family — protective male with cubs for a wildlife story
photorealistic cinematic wall art profile pictures

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What to do next

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For developers — copy this prompt as JSON
{
  "title": "Proud Lion Portrait",
  "prompt": "A proud lion portrait, adult male lion facing forward with golden mane, warm savanna sunset backlight, detailed fur texture, intense amber eyes, shallow depth of field, no text --ar 3:4 --stylize 250 --ar 3:4 --stylize 250",
  "model": "Midjourney",
  "model_version": "v7",
  "settings": {
    "aspect_ratio": "3:4",
    "stylize": 250
  },
  "style_tags": [
    "photorealistic",
    "cinematic"
  ],
  "use_case_tags": [
    "wall-art",
    "profile-pictures"
  ],
  "source_url": "https://promptkoi.com/prompts/midjourney/proud-lion-portrait/"
}

The whole library is available as an open JSON dataset · developer docs.