SuperAPI AI Directory

Nano Banana Pro

Banana2 (Nano Banana Pro) is an independent AI image generation and editing platform that supports text-to-image generation, image editing, multilingual text layout and localization, complex scene consistency, and output resolutions from 512px to 4K. Users can describe their needs in natural language, upload photos or text prompts to generate high-fidelity images, suitable for creative scenarios such as advertising, e-commerce, social media, and brand assets. The platform prohibits the generation of any NSFW or adult content, and outputs may carry SynthID and C2PA metadata.

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About this tool

Purpose

Banana2 is an independent AI image generation platform designed to understand visual context and long-form instructions, handle complex text and image inputs, support local editing, and maintain coherence throughout the creative process. It is aimed at users who need to quickly produce high-fidelity images, edit existing images, and perform visual localization and typographic design.

Key Capabilities

  • Text-to-image: Quickly generate high-fidelity drafts and concept images from simple text prompts.
  • Advanced image editing: Precisely control and refine objects, backgrounds, and text in existing images.
  • Multimodal reasoning: Combine visual understanding, text instructions, and context to make more accurate composition decisions; faithfully follow complex multi-step instructions, maintain spatial logic and object relationships, and support iterative refinement without losing creative intent.
  • Readable text, translation, and localization: Generate clear multilingual typographic assets that can be adapted to languages directly within the image; improve the readability of headlines, labels, UI, and advertising materials, reducing manual redrawing in external design tools.
  • Complex scene consistency: Support up to 5 characters and 14 objects maintaining identity consistency within the same composition, preserving faces, style, and proportions, suitable for UGC, serialized storytelling, and brand asset systems.
  • Flexible resolution: Output sizes from 512px to 4K, covering everything from quick drafts to final marketing materials.

How to Use

  1. Upload or start from text: Upload product images, portraits, or sketches, or start directly from a blank canvas with text-to-image generation.
  2. Clearly describe modifications: Explain your needs in natural language, for example, "turn this into a glossy 3D toy with a brand logo and warm studio lighting."
  3. Choose model and style: Select Banana2 for the highest fidelity, apply presets, and choose local editing or full reconstruction.
  4. Review, adjust, save: Generate variations, iterate and refine, and export at the appropriate size for each channel.

Banana2 uses OpenAI's GPT Image-2 as its primary image generation model, combined with Nano Banana Pro and Nano Banana 2 for specialized tasks. The platform continuously integrates the latest AI advances and provides prompt templates and an example library, requiring no advanced prompt engineering skills.

Applicable Scenarios

  • Advertising and marketing materials: layout-safe ads, key visual banners, A/B testing variations.
  • E-commerce product images: transform studio originals into clean hero images, handling shadows and reflections.
  • Social media and email: Keep mascot or character identity consistent across publishing channels.
  • Brand asset systems: maintain consistency across multiple characters and objects.
  • Visual localization: multilingual typography and translation, suitable for global marketing campaigns.
  • Concept previews and client proposals: rapid pre-visualization.

Limitations and Safety

  • Strictly prohibited from generating NSFW, pornographic, adult, or any sexual content; the platform applies automatic content filtering and safety systems, and violations will result in account termination.
  • Outputs may contain SynthID and C2PA metadata to support provenance tracking.
  • Export resolutions support 512px to 4K; available aspect ratios and formats depend on the generation mode and workflow.