Gemini Nano Banana Image to Image AI Generator

GPT Image edits by predicting modified visual tokens autoregressively — changing only what you specify while preserving lighting, composition, and style in untouched areas. Its architecture tracks facial similarity, texture, and lighting consistency across sequential edits. Text overlays added during editing render with the same legibility as text-to-image generation — logos, labels, and typography stay readable.

Seedream uses a cross-image consistency module that computes feature maps across multiple reference inputs to triangulate identity data points — achieving 90% character consistency accuracy and 9.6/10 facial landmark scores. A redesigned VAE pipeline preserves high-frequency details like small text and skin texture without AI artifacts. Unified architecture handles both generation and editing, enabling lossless style transfer across photorealism, anime, oil painting, and watercolor.

Flux uses rectified flow transformers for context-aware inpainting and outpainting — filling missing areas or extending images beyond their borders with content that blends seamlessly into the original. Built by the creators of Stable Diffusion, the architecture supports multiple sequential edits with minimal visual drift. Guidance distillation delivers editing speed without sacrificing coherence.

Nano Banana edits images using session-based memory and persistent token locking — key visual descriptors like eye color, facial scars, and hair texture are locked as persistent tokens that survive across edits. The model remembers what it is editing without re-description. Supports batch editing: one prompt across multiple images, multiple prompts on one image, or cross-combinations. All edits carry SynthID invisible watermarks for AI detection.