Open GPT Image 2 Nano Banana...
Ratio 3:4Image-to-Image
Creator Reference:@DilshadAI1
Original Post

Copy this Nano Banana Pro reference-guided prompt to create character...

Copy this Nano Banana Pro reference-guided prompt to create character portraits in indoor scenes with moody contrast and neon color contrast. Best in 3:4...

Master PromptClick to select all

① Open GPT Image 2/ Nano Banana pro/ Gemeni / Grok ② Add your image ③ Paste the prompt ④ Create the result Use the uploaded image as the only facial reference and preserve 100% facial identity, hairstyle, beard, skin tone, and natural skin texture. A medium shot of a young South Asian couple posing together, leaning against a silver metal railing at night. On the left, a man with a neatly groomed beard, dark hair, and a lean build wears a dark maroon button-up shirt and a wristwatch, resting his chin on his right hand. Beside him, a young woman with a slender build, soft facial features, and long dark hair, wears a beige floral-patterned traditional tunic, also resting her chin on her hands. Both are looking directly at the viewer with gentle smiles. They are centered in the frame against a blurred background of vibrant green foliage illuminated by colorful, bokeh-style neon lights in pink, blue, and yellow hues. The lighting is soft and warm, highlighting their faces and creating a romantic, inviting atmosphere. The composition is well-balanced, utilizing the railing as a foreground element to create depth. The style is that of a professional portrait, characterized by clear focus on the subjects and a creamy, out-of-focus background.

Optimal Generation Parameters
Aspect Ratio
3:4
ModelNano Banana Pro
Aesthetic KeynotesMoody, Neon, Reference-Guided

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 reference-guided prompt to create character...
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: ① Open GPT Image 2/ Nano Banana pro/ Gemeni / Grok ② Add your image ③ Paste the prompt ④ Create the result Use the...
2Adjust the mood through light and backdrop cues: They are centered in the frame against a blurred background of vibrant green foliage illuminated by colorful,...
3Keep the finish constraints aligned while you test variants: A medium shot of a young South Asian couple posing together, leaning against a silver metal railing at night.

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace ① open gpt image 2/ nano banana pro/ gemeni / grok ② add your image ③ paste the prompt ④... 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 they are centered in the frame against a blurred background of vibrant green foliage... to move the image into a new lighting setup.

Push the restyle with a cleaner referenceRecipe #3

Start from a sharper or more contrasty source image, then edit finish descriptors only after subject preservation is stable.

Production Quality Guide: Best Use vs. Pitfalls

Ideal Use Cases (Where it Shines)
  • •Portrait studies, beauty concepts, and tightly framed editorial references.
  • •Reference-image workflows where identity, product shape, or silhouette should survive the restyle.
  • •Structured prompt workflows where the first pass should already have a usable composition.
  • ✓Start with a sharp reference image. This prompt is written to preserve source identity, silhouette, or product structure before stylization.
  • ✓Use 3:4 on the first run, then test alternate crops after the base composition is working.
  • ✓Lock the environment before fine styling changes: They are centered in the frame against a blurred background of vibrant green foliage illuminated by colorful,...
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.
  • !Using a muddy reference image and expecting the prompt to repair identity, silhouette, or packaging structure on its own.
  • !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: Your reference image is low-resolution, badly lit, or cluttered enough to break subject preservation.

Technical Analysis & How This Prompt Works

Copy this Nano Banana Pro reference-guided prompt to create character portraits in indoor scenes with moody contrast and neon color contrast. Best in...

Use a clean reference image with obvious subject edges and readable facial or product details before you start changing the styling. Keep the generator on 3:4 for the closest match. The mood is anchored by they are centered in the frame against a blurred background of vibrant green foliage illuminated by colorful,...

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