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image.md

Image

Displays AI-generated images from the AI SDK.

The Image component displays AI-generated images from the AI SDK. It accepts a Experimental_GeneratedImage object from the AI SDK's generateImage function and automatically renders it as an image.

See scripts/image.tsx for this example.

Installation

npx ai-elements@latest add image

Usage with AI SDK

Build a simple app allowing a user to generate an image given a prompt.

Install the @ai-sdk/openai package:

npm i @ai-sdk/openai

Add the following component to your frontend:

Create val
"use client"; import { Image } from "@/components/ai-elements/image"; import { Input, PromptInputSubmit, PromptInputTextarea, } from "@/components/ai-elements/prompt-input"; import { useState } from "react"; import { Spinner } from "@/components/ui/spinner"; const ImageDemo = () => { const [prompt, setPrompt] = useState("A futuristic cityscape at sunset"); const [imageData, setImageData] = useState<any>(null); const [isLoading, setIsLoading] = useState(false); const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); if (!prompt.trim()) return; setPrompt(""); setIsLoading(true); try { const response = await fetch("/api/image", { method: "POST", body: JSON.stringify({ prompt: prompt.trim() }), }); const data = await response.json(); setImageData(data); } catch (error) { console.error("Error generating image:", error); } finally { setIsLoading(false); } }; return ( <div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]"> <div className="flex flex-col h-full"> <div className="flex-1 overflow-y-auto p-4"> {imageData && ( <div className="flex justify-center"> <Image {...imageData} alt="Generated image" className="h-[300px] aspect-square border rounded-lg" /> </div> )} {isLoading && <Spinner />} </div> <Input onSubmit={handleSubmit} className="mt-4 w-full max-w-2xl mx-auto relative" > <PromptInputTextarea value={prompt} placeholder="Describe the image you want to generate..." onChange={(e) => setPrompt(e.currentTarget.value)} className="pr-12" /> <PromptInputSubmit status={isLoading ? "submitted" : "ready"} disabled={!prompt.trim()} className="absolute bottom-1 right-1" /> </Input> </div> </div> ); }; export default ImageDemo;

Add the following route to your backend:

Create val
import { openai } from "@ai-sdk/openai"; import { experimental_generateImage } from "ai"; export async function POST(req: Request) { const { prompt }: { prompt: string } = await req.json(); const { image } = await experimental_generateImage({ model: openai.image("dall-e-3"), prompt: prompt, size: "1024x1024", }); return Response.json({ base64: image.base64, uint8Array: image.uint8Array, mediaType: image.mediaType, }); }

Features

  • Accepts Experimental_GeneratedImage objects directly from the AI SDK
  • Automatically creates proper data URLs from base64-encoded image data
  • Supports all standard HTML image attributes
  • Responsive by default with max-w-full h-auto styling
  • Customizable with additional CSS classes
  • Includes proper TypeScript types for AI SDK compatibility

Props

<Image />

PropTypeDefaultDescription
altstring-Alternative text for the image.
classNamestring-Additional CSS classes to apply to the image.
...propsExperimental_GeneratedImage-The image data to display, as returned by the AI SDK.
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