Open GPT Image 2 Nano Banana...
Reference image from @DilshadAI1View Original

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

Image-to-Image

Prompt

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 stylish young Pakistani man leaning casually against a blue BMW X5 M, wearing a black traditional Kurta Shalwar with a mandarin collar, brown leather loafers, black sunglasses, and a black smartwatch. Pose: one leg bent against the car, hands clasped in front, confident attitude, looking away from camera. Background: open road or parking area, blurred cityscape, bright daylight, cinematic lighting, luxury

How This Prompt Works

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......

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 background: open road or parking area, blurred cityscape, bright daylight, cinematic lighting, luxury

Best Settings

Recommended Aspect Ratio
3:4
Recommended Style
Cinematic, Fashion, Reference-Guided
Negative Prompt
ugly, deformed, low quality, blurry, text, watermark, worst quality, low res
Recommended Model
Nano Banana Pro

What to Change First

  • Change 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...
  • Adjust the mood through light and backdrop cues: Background: open road or parking area, blurred cityscape, bright daylight, cinematic lighting, luxury
  • Keep the finish constraints aligned while you test variants: A stylish young Pakistani man leaning casually against a blue BMW X5 M, wearing a black traditional Kurta Shalwar with a...

Before You Generate

Note 1

Start with a sharp reference image. This prompt is written to preserve source identity, silhouette, or product structure before stylization.

Note 2

Use 3:4 on the first run, then test alternate crops after the base composition is working.

Note 3

Lock the environment before fine styling changes: Background: open road or parking area, blurred cityscape, bright daylight, cinematic lighting, luxury

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.

Skip This Prompt If

  • You need a wide environment shot or multiple subjects competing for attention in the same frame.
  • You need to begin with a radically different crop than 3:4 instead of honoring the existing composition hints.
  • Your reference image is low-resolution, badly lit, or cluttered enough to break subject preservation.

Mistakes to Avoid

  • 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.

3 Ways to Adapt This Prompt

Use these as safe starting edits so you keep the prompt's structure while still making it your own.

Swap the subject, keep the frame

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 structure

Keep the subject block, then rewrite background: open road or parking area, blurred cityscape, bright daylight, cinematic... to move the image into a new lighting setup.

Push the restyle with a cleaner reference

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

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