Nano Banana Pro

Cyberpunk Glitch Portrait Prompt with Identity Lock

A highly detailed prompt for generating a stylized, glitching cyberpunk portrait of a young man, requiring strict identity lock to the reference photo. The image features the subject as a ghostly silhouette dissolving into smoky static and

Prompt text

Original English text. Replace placeholders with your own details.

Use the exact young man from the reference photo as the subject: same sharply contoured yet soft heart shaped face, same large expressive dark eyes with a quiet, introspective gaze, same warm dusky South Asian skin tone, same naturally wavy shoulder length dark hair gently falling around his face and neck, same subtle and gentle half smile carrying unspoken weight.

He appears as a ghostly central silhouette, standing motionless in calm resignation. His face is intentionally blurred and dissolving upward into swirling smoky black and emerald green digital glitch static, as if his entire existence is fragmenting into corrupted code. The lower half of his body slowly melts and drips into a textured, grainy pitch black void, with faint red chromatic aberration bleeding along the ragged edges.

Overlaying the figure in bold, distressed blood red sans-serif typography (slightly warped, glitching, and flickering): {argument name="text overlay" default="BMX AI"}

Soft creamy off-white background, heavy 35 mm film grain covering the entire image, subtle VHS tracking lines and faint RGB split, high contrast, cold cyan rim lighting cutting through the darkness, dark cyberpunk melancholy mood, cinematic yet starkly minimalist composition with vast negative space.

Ultra sharp where details still cling to reality, deliberately degraded and corrupted where he fades away. Octane render, deep atmospheric haze, quiet sorrow, lingering sense of loss.

Source & attribution

BMX · Awesome Nano Banana Pro Prompts

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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