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 4:5 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 4:5 using Nano Banana Pro. Negative prompt filters include: ugly, deformed, low quality, blurry, text, watermark, worst quality, low res.

Prompt Showcase/Copy this Nano Banana Pro reference-guided prompt to create fashion...

Verified Prompt Recipe

Ratio 4:5Image-to-Image

Creator Reference:@Salina4nco

Original Post

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

Copy this Nano Banana Pro reference-guided prompt to create fashion portraits with photorealistic detail and cinematic lighting. Best in 3:4 framing.

Master PromptClick to select all

Images Using On Gamini Nano Banana pro Prompt : Cinematic portrait of the female subject from the uploaded reference image, maintaining 100% exact facial identity, features, and expression. She is standing in a dreamy pink fountain grass field during golden hour. Body slightly turned sideways, looking back over her shoulder with a soft natural smile and calm, elegant expression. Wearing a black embroidered boho top, light blue jeans, silver earrings, and a bracelet. Long wavy hair softly flowing in the wind. Fluffy pink fountain grass in the foreground and background with a heavy, creamy bokeh blur. DSLR photography, 85mm lens, f/1.8, shallow depth of field, soft natural lighting, cinematic color grading, ultra-detailed skin texture, realistic hair strands. Candid photography style. Composition, head angle, hand placement, and body posture are strictly identical to the reference sample image. Hyper-realistic, 8K UHD, ultra-sharp subject focus, image ratio 4:5.

Optimal Generation Parameters

Aspect Ratio

4:5

ModelNano Banana Pro

Aesthetic KeynotesPhotorealistic, Cinematic, Fashion, Reference-Guided

#portrait #woman #man #photorealistic #cinematic #peaceful #ethereal #fashion

Test & Generate with GPT Image 2

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

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

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: Cinematic portrait of the female subject from the uploaded reference image, maintaining 100% exact facial identity,...

2Adjust the mood through light and backdrop cues: She is standing in a dreamy pink fountain grass field during golden hour.

3Keep the finish constraints aligned while you test variants: 8, shallow depth of field, soft natural lighting, cinematic color grading, ultra-detailed skin texture, realistic hair...

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace cinematic portrait of the female subject from the uploaded reference image, maintaining... 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 she is standing in a dreamy pink fountain grass field during golden hour. 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.
✓The prompt body explicitly asks for 4:5, so the page now prioritizes 4:5 over generic fallback settings.
✓Lock the environment before fine styling changes: She is standing in a dreamy pink fountain grass field during golden hour.

Pitfalls to Avoid (Common Mistakes)

!Ignoring the recommended 4:5 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 4:5 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 with photorealistic detail and cinematic lighting. Best in 3:4 framing. 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 4:5 for the closest match. The mood is anchored by she is standing in a dreamy pink fountain grass field during golden hour.

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