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2026-06-07 20:43:31 -07:00

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Nano Banana Pro

Nano Banana Pro is Google DeepMind's flagship image generation and editing model, accessed through Hanzo Studio's API nodes. Internally it is the Gemini 3 Pro Image model, designed for production-ready high-fidelity visuals.

Model Variants

Nano Banana Pro (Gemini 3 Pro Image)

  • State-of-the-art reasoning-powered image generation
  • Supports up to 14 reference image inputs
  • Native 4K output resolution (up to 4096x4096)
  • Complex multi-turn image generation and editing
  • Model ID: gemini-3-pro-image-preview

Gemini 2.5 Flash Image (Nano Banana)

  • Cost-effective alternative optimized for speed
  • Balanced price-to-performance for interactive workflows
  • Character consistency and prompt-based editing
  • Model ID: gemini-2.5-flash-image

Key Features

  • World knowledge: Generates accurate real-world images using Google Search's knowledge base
  • Text rendering: Clean text generation with detection and translation across 10 languages
  • Multi-image fusion: Blend up to 14 input images into a single coherent output
  • Studio controls: Adjust angles, focus, color grading in generated images
  • Character consistency: Maintain subject identity across multiple generations
  • Prompt-based editing: Targeted transformations via natural language instructions

Hardware Requirements

  • No local GPU required — runs as a cloud API service
  • Accessed via Hanzo Studio API nodes (requires Hanzo Studio login and network access)
  • Available on Comfy Cloud or local Hanzo Studio with API node support

Common Use Cases

  • High-fidelity text-to-image generation
  • Multi-reference style transfer and image blending
  • Product visualization and mockups
  • Sketch-to-image and blueprint-to-3D visualization
  • Text rendering and translation in images
  • Iterative prompt-based image editing

Key Parameters

  • prompt: Text description of desired image or edit
  • aspect_ratio: Supported ratios include 1:1, 3:2, 4:3, 9:16, 16:9, 21:9
  • temperature: 0.0-2.0 (default 1.0)
  • topP: 0.0-1.0 (default 0.95)
  • max_output_tokens: Up to 32,768 tokens per response
  • input images: Up to 14 reference images per prompt