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Introduction

Learn how to generate and edit images conversationally in your app. Gemini Image Generation allows your app to create and refine images directly within a conversation. Instead of generating images in a separate step, users can iteratively describe, adjust, and improve visuals in real time. This is ideal for building interactive design tools and conversational creative experiences.

What You Can Build

With Gemini Image Generation, your app can support:
  • Conversational Image Creation – Generate images directly within chat-based interactions.
  • Iterative Design Tools – Allow users to refine and improve images step by step.
  • Text Rendering in Images – Create visuals that include accurate text elements.
  • Creative Assistants – Build AI tools that collaborate with users on design.
  • Inline Editing Workflows – Modify existing images through natural language instructions.

How It Works

When Gemini Image Generation is enabled, your app allows users to generate and edit images within a conversational interface. Your app can:
  • accept user prompts in a chat format
  • generate images inline within the conversation
  • allow iterative refinements through follow-up prompts
  • modify existing images based on instructions
  • display updated visuals instantly
This creates a fluid creative experience where users can continuously evolve their ideas without leaving the conversation.

Example Prompts

You can use prompts like these to implement features: Add a conversational image generator Add an image generator to my app where users describe what they want and Gemini creates it inline in the conversation. Add an iterative design tool Add an iterative design tool to my app where users refine AI-generated images through conversation using Gemini.

Common Use Cases

Gemini Image Generation is commonly used for:
  • design and creative tools
  • AI-powered editing platforms
  • marketing content creation
  • conversational creative assistants
  • prototyping and ideation tools

Best Practices

To get the best results:
  • encourage users to refine prompts step by step
  • support editing workflows rather than one-time generation
  • maintain context across conversations
  • allow users to compare versions of images
  • optimize UI for conversational creativity