Image Examples

Real-world examples of image generation with the Decart AI SDK Provider

Basic Image Generation

The simplest way to generate an image with a text prompt:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';

const { image } = await generateImage({
  model: decart.image('lucy-pro-t2i'),
  prompt: 'Three dogs playing in the snow',
});

This example is from the source repository: examples/tasks/image-generation.ts:4

Saving Images to File

Generate an image and save it to the filesystem:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const { image } = await generateImage({
  model: decart.image('lucy-pro-t2i'),
  prompt: 'Three dogs playing in the snow',
});

const filename = `image-${Date.now()}.png`;
fs.writeFileSync(filename, image.uint8Array);
console.log(`Image saved to ${filename}`);

Landscape Images (16:9)

Generate wide, landscape-oriented images:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const { image } = await generateImage({
  model: decart.image('lucy-pro-t2i'),
  prompt: 'A serene mountain lake at sunset with reflections',
  aspectRatio: '16:9',
});

fs.writeFileSync('landscape.png', image.uint8Array);

Portrait Images (9:16)

Generate tall, portrait-oriented images:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const { image } = await generateImage({
  model: decart.image('lucy-pro-t2i'),
  prompt: 'A tall ancient tree reaching into the clouds',
  aspectRatio: '9:16',
});

fs.writeFileSync('portrait.png', image.uint8Array);

Reproducible Generation with Seeds

Use seed values to generate the same image consistently:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const config = {
  model: decart.image('lucy-pro-t2i'),
  prompt: 'A futuristic city with flying cars',
  aspectRatio: '16:9' as const,
  seed: 42,
};

// Generate the same image multiple times
const result1 = await generateImage(config);
const result2 = await generateImage(config);

// Both images will be identical
fs.writeFileSync('city-1.png', result1.image.uint8Array);
fs.writeFileSync('city-2.png', result2.image.uint8Array);

Generating Multiple Variations

Create multiple variations of the same prompt using different seeds:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const basePrompt = 'A cozy coffee shop interior with warm lighting';
const seeds = [100, 200, 300, 400];

for (const seed of seeds) {
  const { image } = await generateImage({
    model: decart.image('lucy-pro-t2i'),
    prompt: basePrompt,
    seed,
    aspectRatio: '16:9',
  });
  
  fs.writeFileSync(`coffee-shop-${seed}.png`, image.uint8Array);
  console.log(`Generated variation with seed ${seed}`);
}

Parallel Image Generation

Generate multiple images concurrently:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const prompts = [
  'A sunset over the ocean',
  'A snowy mountain peak',
  'A bustling city street at night',
  'A peaceful forest path',
];

const results = await Promise.all(
  prompts.map((prompt, index) =>
    generateImage({
      model: decart.image('lucy-pro-t2i'),
      prompt,
      seed: index * 100,
    })
  )
);

results.forEach((result, index) => {
  fs.writeFileSync(`image-${index}.png`, result.image.uint8Array);
  console.log(`Saved image-${index}.png`);
});

Handling Warnings

Check for and handle warnings from unsupported settings:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';

const result = await generateImage({
  model: decart.image('lucy-pro-t2i'),
  prompt: 'A beautiful garden with flowers',
  aspectRatio: '1:1', // Unsupported aspect ratio
});

if (result.warnings && result.warnings.length > 0) {
  console.warn('Generation warnings:');
  result.warnings.forEach(warning => {
    console.warn(`- ${warning.setting}: ${warning.details || 'unsupported'}`);
  });
}

// Image is still generated with default settings
console.log('Image generated successfully');

Using Custom Provider Configuration

Create a custom provider instance with specific settings:

import { createDecart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';

const customDecart = createDecart({
  apiKey: process.env.DECART_API_KEY,
  baseURL: 'https://api.decart.ai',
  headers: {
    'X-Custom-Header': 'value',
  },
});

const { image } = await generateImage({
  model: customDecart.image('lucy-pro-t2i'),
  prompt: 'A majestic waterfall in a tropical jungle',
  aspectRatio: '9:16',
});

fs.writeFileSync('waterfall.png', image.uint8Array);

Complete Example with Image Presentation

Based on the source repository’s presentation utilities:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';
import fs from 'fs';
import path from 'path';
import imageType from 'image-type';

async function generateAndSave() {
  // Generate the image
  const { image, response } = await generateImage({
    model: decart.image('lucy-pro-t2i'),
    prompt: 'Three dogs playing in the snow',
    aspectRatio: '16:9',
    seed: 42,
  });

  // Determine image format
  const format = await imageType(image.uint8Array);
  const extension = format?.ext || 'png';

  // Create output directory
  const outputDir = path.resolve(__dirname, 'output');
  fs.mkdirSync(outputDir, { recursive: true });

  // Save with timestamp
  const timestamp = Date.now();
  const filePath = path.join(
    outputDir,
    `image-${timestamp}.${extension}`
  );
  
  fs.writeFileSync(filePath, image.uint8Array);
  
  console.log(`Image saved to ${filePath}`);
  console.log(`Model: ${response.modelId}`);
  console.log(`Generated at: ${response.timestamp}`);
}

generateAndSave();

The image presentation pattern is adapted from examples/lib/present-image.ts:16 in the source repository.

Base64 Encoding

Access the image as a base64-encoded data URL:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage } from 'ai';

const { image } = await generateImage({
  model: decart.image('lucy-pro-t2i'),
  prompt: 'A beautiful sunset over mountains',
});

// Use base64 for web display
const base64Image = image.base64;
console.log(`<img src="${base64Image}" alt="Generated image" />`);

// Or access raw bytes
const bytes = image.uint8Array;
console.log(`Image size: ${bytes.length} bytes`);

TypeScript with Type Safety

Full type safety with TypeScript:

import { decart } from '@decartai/ai-sdk-provider';
import { generateImage, type Experimental_GeneratedImage } from 'ai';
import fs from 'fs/promises';

interface ImageGenerationConfig {
  prompt: string;
  aspectRatio?: '16:9' | '9:16';
  seed?: number;
  outputPath: string;
}

async function generateTypedImage(
  config: ImageGenerationConfig
): Promise<Experimental_GeneratedImage> {
  const { image } = await generateImage({
    model: decart.image('lucy-pro-t2i'),
    prompt: config.prompt,
    aspectRatio: config.aspectRatio,
    seed: config.seed,
  });

  await fs.writeFile(config.outputPath, image.uint8Array);
  console.log(`Saved to ${config.outputPath}`);
  
  return image;
}

// Usage with full type checking
await generateTypedImage({
  prompt: 'A serene Japanese garden',
  aspectRatio: '16:9',
  seed: 12345,
  outputPath: './garden.png',
});

Next Steps

Models

Learn about model capabilities

Settings

Configure generation parameters

AI SDK Docs

View AI SDK generateImage() reference

Configuration

Configure the Decart provider