Generate Book Covers

Generate book cover images with custom artwork, title text, and author attribution.

Who this is for

Self-publishing authors and digital bookstores use this recipe to generate professional book covers. Define a canvas with a gradient background, add title and author text — ready for ebook stores, print-on-demand, or preview thumbnails.

curl -X POST https://api.iterationlayer.com/image-generation/v1/render \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "dimensions": {
      "width": 600,
      "height": 900
    },
    "output_format": "png",
    "layers": [
      {
        "index": 0,
        "type": "gradient",
        "gradient_type": "linear",
        "angle_in_degrees": 180.0,
        "colors": [
          { "hex_color": "#1B1464", "position": 0.0 },
          { "hex_color": "#6C63FF", "position": 100.0 }
        ],
        "position": { "x": 0.0, "y": 0.0 },
        "dimensions": { "width": 600, "height": 900 }
      },
      {
        "index": 1,
        "type": "text",
        "text": "The Art of API Design",
        "font_name": "Playfair Display",
        "font_size_in_px": 52,
        "text_color": "#FFFFFF",
        "font_weight": "Bold",
        "text_align": "center",
        "position": { "x": 50.0, "y": 200.0 },
        "dimensions": { "width": 500, "height": 200 }
      },
      {
        "index": 2,
        "type": "text",
        "text": "Alexandra Chen",
        "font_name": "Inter",
        "font_size_in_px": 24,
        "text_color": "#D4D0FF",
        "text_align": "center",
        "position": { "x": 50.0, "y": 750.0 },
        "dimensions": { "width": 500, "height": 40 }
      }
    ]
  }'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });

const result = await client.generateImage({
  dimensions: { width_in_px: 600, height_in_px: 900 },
  output_format: "png",
  layers: [
    {
      index: 0,
      type: "gradient",
      gradient_type: "linear",
      angle_in_degrees: 180.0,
      colors: [
        { hex_color: "#1B1464", position: 0.0 },
        { hex_color: "#6C63FF", position: 100.0 },
      ],
      position: { x: 0.0, y: 0.0 },
      dimensions: { width_in_px: 600, height_in_px: 900 },
    },
    {
      index: 1,
      type: "text",
      text: "The Art of API Design",
      font_name: "Playfair Display",
      font_size_in_px: 52,
      text_color: "#FFFFFF",
      font_weight: "Bold",
      text_align: "center",
      position: { x: 50.0, y: 200.0 },
      dimensions: { width_in_px: 500, height_in_px: 200 },
    },
    {
      index: 2,
      type: "text",
      text: "Alexandra Chen",
      font_name: "Inter",
      font_size_in_px: 24,
      text_color: "#D4D0FF",
      text_align: "center",
      position: { x: 50.0, y: 750.0 },
      dimensions: { width_in_px: 500, height_in_px: 40 },
    },
  ],
});

await Bun.write("result.png", Buffer.from(result.data.buffer, "base64"));
import base64

from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")

result = client.generate_image(
    dimensions={"width_in_px": 600, "height_in_px": 900},
    output_format="png",
    layers=[
        {
            "index": 0,
            "type": "gradient",
            "gradient_type": "linear",
            "angle_in_degrees": 180.0,
            "colors": [
                {"hex_color": "#1B1464", "position": 0.0},
                {"hex_color": "#6C63FF", "position": 100.0},
            ],
            "position": {"x": 0.0, "y": 0.0},
            "dimensions": {"width_in_px": 600, "height_in_px": 900},
        },
        {
            "index": 1,
            "type": "text",
            "text": "The Art of API Design",
            "font_name": "Playfair Display",
            "font_size_in_px": 52,
            "text_color": "#FFFFFF",
            "font_weight": "Bold",
            "text_align": "center",
            "position": {"x": 50.0, "y": 200.0},
            "dimensions": {"width_in_px": 500, "height_in_px": 200},
        },
        {
            "index": 2,
            "type": "text",
            "text": "Alexandra Chen",
            "font_name": "Inter",
            "font_size_in_px": 24,
            "text_color": "#D4D0FF",
            "text_align": "center",
            "position": {"x": 50.0, "y": 750.0},
            "dimensions": {"width_in_px": 500, "height_in_px": 40},
        },
    ],
)

with open("result.png", "wb") as f:
    f.write(base64.b64decode(result["data"]["buffer"]))
package main

import (
    "encoding/base64"
    "os"

    il "github.com/iterationlayer/sdk-go"
)

func main() {
    client := il.NewClient("YOUR_API_KEY")

    result, err := client.GenerateImage(il.GenerateImageRequest{
        Dimensions:   il.Dimensions{WidthInPx: 600, HeightInPx: 900},
        OutputFormat: "png",
        Layers: []il.Layer{
            il.NewGradientLayer(0, "linear", []il.GradientColor{
                {HexColor: "#1B1464", Position: 0.0},
                {HexColor: "#6C63FF", Position: 100.0},
            }, il.Position{X: 0.0, Y: 0.0}, il.Dimensions{WidthInPx: 600, HeightInPx: 900}),
            il.NewTextLayer(1, "The Art of API Design", "Playfair Display", 52, "#FFFFFF",
                il.Position{X: 50.0, Y: 200.0}, il.Dimensions{WidthInPx: 500, HeightInPx: 200}),
            il.NewTextLayer(2, "Alexandra Chen", "Inter", 24, "#D4D0FF",
                il.Position{X: 50.0, Y: 750.0}, il.Dimensions{WidthInPx: 500, HeightInPx: 40}),
        },
    })
    if err != nil {
        panic(err)
    }

    decoded, _ := base64.StdEncoding.DecodeString(result.Data.Buffer)
    os.WriteFile("result.png", decoded, 0644)
}

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