QT Compare who wins with reference...
Ratio 9:16Image-to-Image
Creator Reference:@LoveAiko2003
Original Post

QT Compare who wins with reference

Copy this Nano Banana Pro reference-guided prompt to create character portraits with 35mm film texture and photorealistic detail. Best in 9:16 framing.

Master PromptClick to select all

QT Compare who wins (with reference image for face) 1. GPT2.5 Sunburst 2. Recraft 4.0 3. Seedream 5.0 Lite 4. Nano Pro Prompt: Photorealistic photograph of an unmistakably adult woman. Use the supplied live-action reference photo as the absolute authority for her identity: exact facial structure, short silver-grey bob with straight bangs, hair color and texture, pale skin, real body proportions, silhouette, and overall presence. Preserve clear recognizability. do not replace her face, do not copy the reference photo’s original outfit. full-body standing portrait, smiling at the camera, hands on her skirt as it moves. Vertical crop from grass to above the head. WARDROBE: white off-shoulder lace maxi dress with ruffles and a flowing skirt, aviator sunglasses, simple jewelry and a watch. Do not copy clothing from the reference photo. SETTING: bright valley — fruit trees, wildflowers, a grazing deer, high waterfall, green mountains, birds in a clear sky. LIGHTING AND CAMERA: photoreal midday sun, natural pores, her real face readable under or around the sunglasses. Live-action photograph, 35mm, subject sharp, landscape clear. 2:3 or 3:4 portrait. One adult character only. No extra people, no text, no logos.

Optimal Generation Parameters
Aspect Ratio
9:16
ModelNano Banana Pro
Aesthetic Keynotes35mm Film, Photorealistic, Minimalist, Fashion

Test & Generate with GPT Image 2

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

GPT Image 2 Generator

QT Compare who wins with reference
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: Photorealistic photograph of an unmistakably adult woman.
2Adjust the mood through light and backdrop cues: LIGHTING AND CAMERA: photoreal midday sun, natural pores, her real face readable under or around the sunglasses.
3Keep the finish constraints aligned while you test variants: Use the supplied live-action reference photo as the absolute authority for her identity: exact facial structure, short...

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace photorealistic photograph of an unmistakably adult woman. 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 lighting and camera: photoreal midday sun, natural pores, her real face readable under... 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.
  • •Clean studio results where spacing, surfaces, and product separation need to read immediately.
  • ✓Start with a sharp reference image. This prompt is written to preserve source identity, silhouette, or product structure before stylization.
  • ✓Use 9:16 on the first run, then test alternate crops after the base composition is working.
  • ✓This prompt suppresses text or logos. Remove that constraint before asking for branded packaging, typography, or visible watermarks.
Pitfalls to Avoid (Common Mistakes)
  • !Ignoring the recommended 9:16 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.
  • !Asking for readable type, logos, or packaging text without first removing the no-text constraint.
  • ✕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 9:16 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 with 35mm film texture and photorealistic detail. Best in 9:16 framing....

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 9:16 for the closest match. The mood is anchored by lighting and camera: photoreal midday sun, natural pores, her real face readable under or around the...

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