Nano Banana Prompt Recipes

Free AI image editing prompts. Compatible with our Quickstart workflows. Copy, tweak, and use with either the cloud client or supported offline alternatives.

The seed, steps, guidance, and strength examples below are starting points for compatible open-model pipelines. They are not Gemini API parameters.

Background replacement

replace background with neon cyberpunk city, preserve subject lighting and pose

Open-model starting point: seed=42 steps=30 guidance=4.0 strength=0.6

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Character tweak

convert outfit to modern tactical style, keep face identity and hair

Open-model starting point: seed=42 steps=30 guidance=4.0 strength=0.55

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Local accessory

add a katana in right hand, realistic reflection and shadow

Open-model starting point: seed=64 steps=32 guidance=4.5 strength=0.5

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More recipes

Identity consistency

keep character identity and facial features; change background to sunny beach, match lighting and shadows

Open-model starting point: seed=21 steps=28 guidance=4.0 strength=0.55

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Mask‑guided hands

in masked area: refine hands and fingers with realistic skin texture and natural pose

Open-model starting point: seed=42 steps=24 guidance=4.2 strength=0.45

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Scene preservation

swap jacket to red leather while preserving scene composition, camera angle, and lighting

Open-model starting point: seed=77 steps=30 guidance=4.0 strength=0.5

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Subtle style

apply subtle cinematic color grading; keep texture and identity unchanged

Open-model starting point: seed=9 steps=22 guidance=3.8 strength=0.35

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Product shadows

place product on white seamless background with soft natural shadow; preserve geometry

Open-model starting point: seed=56 steps=26 guidance=4.2 strength=0.5

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Advanced Prompts

These prompts target documented model capabilities. HunyuanImage 3.0 Instruct supports multi-image fusion and reasoning-assisted editing; Qwen-Image-Edit-2511 focuses on consistent image editing.

🔄 Multi-Image Fusion

HUNYUANIMAGE 3.0 INSTRUCT

Apply the style of Image 2 to the subject in Image 1. Preserve the pose and facial features from Image 1 while adopting the color grading and atmosphere from Image 2.

Uses 2 input images · CoT reasoning enabled

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🧠 Reasoning-Based Editing

HUNYUANIMAGE 3.0 INSTRUCT

Analyze the lighting direction in the original image, then add a glass sphere on the table that reflects the same lighting conditions and casts a physically accurate shadow.

Model analyzes first, then executes · No mask needed

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🔤 Complex Text Rendering

QWEN-IMAGE-EDIT-2511

Add a neon sign on the building wall that reads "CAFE OPEN 24H" in Art Deco style typography. Match the perspective and lighting of the scene.

Strong text generation capability · Precise typography

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📐 Knowledge-Heavy Layout

QWEN-IMAGE-EDIT-2511 / GLM-IMAGE

Convert this magazine layout into a scientific infographic about climate change. Include charts, data visualizations, and maintain the grid structure with proper alignment.

Structured output · Document understanding

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Keywords covered

text‑guided background replacement · local edits · identity/character consistency · mask‑guided inpainting · scene preservation · subtle style change · product photo shadows · multi-image fusion · CoT reasoning · complex text rendering