What visual goals is this prompt best for?

Portrait studies, beauty concepts, and tightly framed editorial references. Reference-image workflows where identity, product shape, or silhouette should survive the restyle. Cinematic, mood-first outputs where light direction carries a lot of the final image quality.

What common mistakes should be avoided when using this prompt?

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.

What are the recommended aspect ratio and settings?

Recommended aspect ratio is 3:4 using Nano Banana Pro. Negative prompt filters include: ugly, deformed, low quality, blurry, text, watermark, worst quality, low res.

Prompt Showcase/Cyan-Magenta Cinematic Portrait

Verified Prompt Recipe

Ratio 3:4Image-to-Image

Cyan-Magenta Cinematic Portrait

Copy this Nano Banana Pro reference-guided prompt to create fashion portraits in studio setups with photorealistic detail and cinematic lighting. Best in...

Master PromptClick to select all

A sharp, cinematic close-up portrait of a young woman (the attached person reference, 100% exact facial features and hairstyle). The lighting is "Chiaroscuro" style with a modern twist: a vibrant cyan rim light on one side and a deep magenta fill on the other. She is wearing a high-collar black leather jacket. Her confident gaze is directed slightly off-camera. Droplets of mist are visible on her jacket, catching the neon glow. The background is a dark, out-of-focus urban studio setting. Ultra-high detail, focusing on the realistic moisture on skin and fabric.

Optimal Generation Parameters

Aspect Ratio

3:4

ModelNano Banana Pro

Aesthetic KeynotesPhotorealistic, Cinematic, Moody, Neon

#portrait #cinematic #dark #neon #fashion #realistic #dramatic #ethereal

Test & Generate with GPT Image 2

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

Cyan-Magenta Cinematic 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: A sharp, cinematic close-up portrait of a young woman (the attached person reference, 100% exact facial features and...

2Adjust the mood through light and backdrop cues: The lighting is "Chiaroscuro" style with a modern twist: a vibrant cyan rim light on one side and a deep magenta fill on...

3Keep the finish constraints aligned while you test variants: Ultra-high detail, focusing on the realistic moisture on skin and fabric.

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace a sharp, cinematic close-up portrait of a young woman (the attached person reference,... 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 "chiaroscuro" style with a modern twist: a vibrant cyan rim light on one... 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.
•Cinematic, mood-first outputs where light direction carries a lot of the final image quality.
✓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: The lighting is "Chiaroscuro" style with a modern twist: a vibrant cyan rim light on one side and a deep...

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 fashion portraits in studio setups with photorealistic detail and cinematic lighting. Best...

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 the lighting is "chiaroscuro" style with a modern twist: a vibrant cyan rim light on one side and a deep...

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