Optimal image types: Nano Banana Pro performs exceptionally well with photographic portraits, landscape photography, product images, and digital artwork. These image types contain the structural patterns and textures that AI upscaling models reconstruct most effectively.
Portrait photography: Faces and human subjects upscale particularly well because the AI has been trained extensively on facial features. Creators report excellent preservation of skin texture, eye detail, and hair definition when upscaling portraits to 8K.
Landscape and architecture: Images with clear structures, defined edges, and natural textures benefit significantly. The AI excels at reconstructing building details, foliage patterns, and landscape elements that would blur with traditional upscaling methods.
Challenging content: Heavily compressed images, screenshots with text, or images with existing artifacts may show mixed results. The AI can sometimes amplify compression artifacts or introduce slight distortions in very low-quality source material.
Digital illustrations and graphics: Clean vector-style artwork and digital paintings upscale cleanly, maintaining crisp edges and color transitions. However, images with intentional grain or noise patterns may see those textures altered during the upscaling process.
Recommended source quality: Start with at least 2-4 megapixel images for best results. While the tool handles lower resolutions, higher quality inputs provide more data for the AI to analyze, resulting in more accurate 8K reconstruction.