Cute Red Panda in Bamboo
MidjourneyCute Red Panda in Bamboo is a tested Midjourney v7 prompt for wallpaper 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 cute red panda in bamboo scene, fluffy red panda curled on a mossy branch surrounded by green bamboo leaves, soft forest light, gentle expression, no people, 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
Red panda portraits succeed because the animal is inherently expressive. A curled posture on a branch shows the ringed tail and compact body. Bamboo leaves provide natural context and color contrast against the rust fur. Soft forest light keeps the scene natural; harsh light makes the fur look flat. The 3:4 frame emphasizes the vertical branch and tail curve.
Variations to try
- Sleeping red panda — eyes closed and tail wrapped for a cozy print
- Snow red panda — light snowfall on fur for a winter wildlife shot
Explore collections
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": "Cute Red Panda in Bamboo",
"prompt": "A cute red panda in bamboo scene, fluffy red panda curled on a mossy branch surrounded by green bamboo leaves, soft forest light, gentle expression, no people, 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": [
"cute",
"cinematic"
],
"use_case_tags": [
"wallpaper",
"pet-portraits"
],
"source_url": "https://promptkoi.com/prompts/midjourney/cute-red-panda-in-bamboo/"
} The whole library is available as an open JSON dataset · developer docs.