Images on Gemini Nano Banana Prompt...
Ratio 3:4Text-to-Image
Creator Reference:@Minahil42298354
Original Post

Copy this Nano Banana Pro text-to-image prompt to create portrait...

{ "prompt": "A cinematic, dual-panel composition featuring a young woman with a vibrant green bob and black highlights, styled in cyberpunk-inspired...

Master PromptClick to select all

Images on Gemini Nano Banana Prompt: { "prompt": "A cinematic, dual-panel composition featuring a young woman with a vibrant green bob and black highlights, styled in cyberpunk-inspired techwear. She is wearing a metallic silver puffer jacket with glowing cyan neon trim, a holographic translucent backpack with LED accents, and black tactical cargo pants. On her feet are high-top boots with glowing LED soles, splashing through rain puddles on a wet, reflective street. The setting is a narrow, bustling alleyway in a futuristic Tokyo-style district at night, filled with glowing neon signs, Japanese kanji, and warm street lanterns. The lighting is a high-contrast mix of cool cyan, electric green, and warm orange, with a shallow depth of field creating a soft bokeh effect in the background.", "style_attributes": { "aesthetic": "Cyberpunk / Techwear / Street Photography", "lighting": "Neon-lit, high contrast, wet reflections", "color_palette": ["Electric Green", "Cyan", "Metallic Silver", "Deep Black", "Neon Orange"], "composition": "Full-body action shot, side profile, splashing water, urban depth" }, "technical_specs": { "resolution": "4K", "camera_feel": "35mm lens, f/1.8, realistic textures, cinematic film grain" } }

Optimal Generation Parameters
Aspect Ratio
3:4
ModelNano Banana Pro
Aesthetic KeynotesStreet Photography, 35mm Film, Photorealistic, Cinematic

Test & Generate with GPT Image 2

Prompt tokens and APIMart GPT Image 2 are pre-loaded. Customize or click generate.

GPT Image 2 Generator

Copy this Nano Banana Pro text-to-image prompt to create portrait...
Nano Banana 2
Creative Blueprint & Recipe Breakdown

How to Master & Adapt This Visual

Professional prompts rely on modular tokens. Use this recipe breakdown to swap subjects, control studio lighting, and eliminate common AI artifacts.

Prompt Variables Blueprint (What to Customize First)

Iterate on one variable group at a time to maintain stylistic consistency:

1Change the subject block first: { "prompt": "A cinematic, dual-panel composition featuring a young woman with a vibrant green bob and black highlights,...
2Adjust the mood through light and backdrop cues: The lighting is a high-contrast mix of cool cyan, electric green, and warm orange, with a shallow depth of field...
3Keep the finish constraints aligned while you test variants: ", "style_attributes": { "aesthetic": "Cyberpunk / Techwear / Street Photography", "lighting": "Neon-lit, high...

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace { "prompt": "a cinematic, dual-panel composition featuring a young woman with a vibrant... with your own subject while leaving the camera and composition cues intact.

Retune the mood, not the structureRecipe #2

Keep the subject block, then rewrite the lighting is a high-contrast mix of cool cyan, electric green, and warm orange, with... to move the image into a new lighting setup.

Change the finish without breaking geometryRecipe #3

Test a new texture or rendering finish by rewriting ", "style_attributes": { "aesthetic": "cyberpunk / techwear / street photography",... while leaving the scene structure alone.

Production Quality Guide: Best Use vs. Pitfalls

Ideal Use Cases (Where it Shines)
  • •Portrait studies, beauty concepts, and tightly framed editorial references.
  • •Text-to-image ideation when you want a reliable starting frame in 3:4.
  • •Cinematic, mood-first outputs where light direction carries a lot of the final image quality.
  • ✓Use 3:4 on the first run, then test alternate crops after the base composition is working.
  • ✓Lock the environment before fine styling changes: The lighting is a high-contrast mix of cool cyan, electric green, and warm orange, with a shallow depth of...
Pitfalls to Avoid (Common Mistakes)
  • !Ignoring the recommended 3:4 crop on the first run. The prompt's composition cues were written for that frame.
  • !Changing subject, lighting, and finish together. You lose the stable base that makes the prompt reusable.
  • !Dropping the lighting or backdrop cues too early. Those clauses usually carry most of the mood and depth.
  • ✕Skip if: You need a wide environment shot or multiple subjects competing for attention in the same frame.
  • ✕Skip if: You need to begin with a radically different crop than 3:4 instead of honoring the existing composition hints.
  • ✕Skip if: You want a loose multi-subject scene instead of a prompt built around one controlled focal point.

Technical Analysis & How This Prompt Works

{ "prompt": "A cinematic, dual-panel composition featuring a young woman with a vibrant green bob and black highlights, styled in cyberpunk-inspired......

Keep the base prompt intact for the first run, then iterate on one variable at a time so the composition stays stable. Keep the generator on 3:4 for the closest match. The mood is anchored by the lighting is a high-contrast mix of cool cyan, electric green, and warm orange, with a shallow depth of...

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