Nano Banana Pro

Abstract Realism Street Mural with Identity Preservation

An image-to-image prompt for generating a large-scale, hand-painted wall mural on an aged urban wall. The prompt requires strict preservation of the uploaded man's facial identity, with the realistic face gradually emerging from abstract pa

Prompt text

Original English text. Replace placeholders with your own details.

{
 "input_type": "image_to_image",
 "target_image": "UPLOAD_IMAGE_HERE",
 "prompt": "Use the uploaded photo strictly as a facial identity reference and preserve the exact face, hair, and facial proportions with high accuracy. Create a large-scale hand-painted wall mural on an aged urban wall where the realistic face of the man gradually emerges from abstract painted forms. Parts of the face should be fully realistic, while surrounding areas dissolve into textured shapes, brush strokes, and geometric fragments painted directly onto the wall. The wall surface must look physically real with rough cement texture, cracks, peeling paint, weather stains, and uneven layers. Use visible brush strokes, matte paint finish, and slightly weathered colors. The abstraction should feel intentional and symbolic, not chaotic. Lighting should be natural and cinematic, blending highlights and shadows across both realistic and abstract sections. The mural must look authentically painted, not digital or printed.",
 "style": "abstract realism hand-painted street mural",
 "preserve_identity": true,
 "allow_pose_change": false,
 "allow_scene_change": true,
 "mood": "introspective, artistic, powerful",
 "color_palette": "muted teal, rust orange, dusty blue, charcoal, soft beige",
 "quality": "16K",
 "negative_prompt": "pure abstraction, full illustration style, fantasy art, watercolor paper texture, anime, cartoon, smooth wall, poster look, duplicated face, digital effects"
}

Source & attribution

Gagan Singh · 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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