Nano Banana Pro Image-to-Image: High-Fidelity AI Image Editor by using Gemini 3 Pro

What makes Nano Banana Pro stand out

Nano Banana Pro is a high-fidelity, image-to-image editor from Google / DeepMind built to apply precise, text-driven changes while preserving subject likeness and overall scene structure. It favors targeted operations over full-frame regeneration, so poses, composition, and visual identity remain stable across edits. Multi-turn refinement lets you stage transformations—background swaps, style transfer, or cross-image blending—without drifting away from the original subject. Integrated availability across the Gemini app, Google Photos, and Search (Lens Create mode) ensures consistent control in everyday workflows. In short, Nano Banana Pro delivers reliable realism and coherent results for localized edits at production quality.

Key capabilities:

• Natural-language, localized edits: change only what you name (e.g., background, clothing details, minor removals).
• Strong subject consistency across outfits, poses, and contexts; likeness stays intact.
• Multi-turn editing: refine in stages without losing coherence or composition.
• Style transfer and cross-image blending while retaining base framing.
• Structure-aware results that maintain overall scene coherence and believability.
• Integrated access in Gemini, Google Photos (restyle, templates), and Lens Create; seamless across Google surfaces.
• Nano Banana Pro supports controlled, text-directed updates instead of full scene re-synthesis.

Prompting guide for Nano Banana Pro

Start by uploading one or more images, then describe the intended change and what must remain untouched. Use clear, localized instructions ("background only," "do not alter the face") and specify the role of each image when blending or transferring style. Keep prompts concise; use multi-turn refinement to build complex results step by step. Nano Banana Pro interprets natural language to apply edits only where requested, maintaining the subject’s identity throughout. For consistent outcomes across Google surfaces, the same phrasing works in Gemini, Google Photos (Help me edit, restyle/templates), and Lens Create.

Examples:

• 'Preserve the person and pose; replace the background with a modern office, soft daylight, background only.'
• 'Remove the sunglasses; keep skin tone and hair unchanged.'
• 'Blend the subject from image A into image B’s beach scene; match palette; keep pose and outfit.'
• 'Transfer watercolor style to the scene; do not change facial features or composition.'
• 'Using nano-banana-2 edit: change the room to minimal; then add a plant near the window; background only.'

Pro tips:

• State constraints explicitly: what to preserve, where to edit, and what to avoid.
• Use spatial language ('left of subject,' 'upper-right background') to localize changes.
• Prefer a few strong descriptors over many competing adjectives.
• Iterate with short, multi-turn refinements rather than one long prompt.
• For blends and style transfer, supply both images and name which is content vs style/background.