Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate an Amazon A+ Content banner image for book marketing with cover art, title, and branding.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Self-publishing authors and book marketing teams use this recipe to generate Amazon A+ Content banners at the standard 970x600 module size. Compose a book cover image, title text, series name, genre label, and availability badge — ready to upload to Amazon Author Central.
Image Generation (1 credits/request)
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
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_in_px": 970,
"height_in_px": 600
},
"output_format": "png",
"layers": [
{
"index": 0,
"type": "gradient",
"gradient_type": "linear",
"angle_in_degrees": 135.0,
"colors": [
{
"hex_color": "#1B2838",
"position": 0.0
},
{
"hex_color": "#2D3A4A",
"position": 100.0
}
],
"position": {
"x_in_px": 0.0,
"y_in_px": 0.0
},
"dimensions": {
"width_in_px": 970,
"height_in_px": 600
}
},
{
"index": 1,
"type": "image",
"buffer": "<base64-encoded-book-cover>",
"position": {
"x_in_px": 60.0,
"y_in_px": 60.0
},
"dimensions": {
"width_in_px": 320,
"height_in_px": 480
}
},
{
"index": 2,
"type": "text",
"text": "THE ASHWORTH CHRONICLES",
"font_name": "Montserrat",
"font_size_in_px": 14,
"text_color": "#94A3B8",
"font_weight": "bold",
"position": {
"x_in_px": 440.0,
"y_in_px": 80.0
},
"dimensions": {
"width_in_px": 480,
"height_in_px": 24
}
},
{
"index": 3,
"type": "text",
"text": "The Long Silence",
"font_name": "PlayfairDisplay",
"font_size_in_px": 44,
"text_color": "#FFFFFF",
"font_weight": "bold",
"position": {
"x_in_px": 440.0,
"y_in_px": 120.0
},
"dimensions": {
"width_in_px": 480,
"height_in_px": 110
}
},
{
"index": 4,
"type": "text",
"text": "Elizabeth Ashworth",
"font_name": "Lora",
"font_size_in_px": 20,
"text_color": "#CBD5E1",
"position": {
"x_in_px": 440.0,
"y_in_px": 250.0
},
"dimensions": {
"width_in_px": 480,
"height_in_px": 32
}
},
{
"index": 5,
"type": "solid-color",
"hex_color": "#6C63FF",
"position": {
"x_in_px": 440.0,
"y_in_px": 320.0
},
"dimensions": {
"width_in_px": 120,
"height_in_px": 32
}
},
{
"index": 6,
"type": "text",
"text": "THRILLER",
"font_name": "Montserrat",
"font_size_in_px": 12,
"text_color": "#FFFFFF",
"font_weight": "bold",
"text_align": "center",
"vertical_align": "center",
"position": {
"x_in_px": 440.0,
"y_in_px": 320.0
},
"dimensions": {
"width_in_px": 120,
"height_in_px": 32
}
},
{
"index": 7,
"type": "solid-color",
"hex_color": "#22C55E",
"position": {
"x_in_px": 440.0,
"y_in_px": 480.0
},
"dimensions": {
"width_in_px": 180,
"height_in_px": 40
}
},
{
"index": 8,
"type": "text",
"text": "Available Now",
"font_name": "Montserrat",
"font_size_in_px": 14,
"text_color": "#FFFFFF",
"font_weight": "bold",
"text_align": "center",
"vertical_align": "center",
"position": {
"x_in_px": 440.0,
"y_in_px": 480.0
},
"dimensions": {
"width_in_px": 180,
"height_in_px": 40
}
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.generateImage({
dimensions: {
width_in_px: 970,
height_in_px: 600,
},
output_format: "png",
layers: [
{
index: 0,
type: "gradient",
gradient_type: "linear",
angle_in_degrees: 135.0,
colors: [
{
hex_color: "#1B2838",
position: 0.0,
},
{
hex_color: "#2D3A4A",
position: 100.0,
},
],
position: {
x_in_px: 0.0,
y_in_px: 0.0,
},
dimensions: {
width_in_px: 970,
height_in_px: 600,
},
},
{
index: 1,
type: "image",
buffer: bookCoverBase64,
position: {
x_in_px: 60.0,
y_in_px: 60.0,
},
dimensions: {
width_in_px: 320,
height_in_px: 480,
},
},
{
index: 2,
type: "text",
text: "THE ASHWORTH CHRONICLES",
font_name: "Montserrat",
font_size_in_px: 14,
text_color: "#94A3B8",
font_weight: "bold",
position: {
x_in_px: 440.0,
y_in_px: 80.0,
},
dimensions: {
width_in_px: 480,
height_in_px: 24,
},
},
{
index: 3,
type: "text",
text: "The Long Silence",
font_name: "PlayfairDisplay",
font_size_in_px: 44,
text_color: "#FFFFFF",
font_weight: "bold",
position: {
x_in_px: 440.0,
y_in_px: 120.0,
},
dimensions: {
width_in_px: 480,
height_in_px: 110,
},
},
{
index: 4,
type: "text",
text: "Elizabeth Ashworth",
font_name: "Lora",
font_size_in_px: 20,
text_color: "#CBD5E1",
position: {
x_in_px: 440.0,
y_in_px: 250.0,
},
dimensions: {
width_in_px: 480,
height_in_px: 32,
},
},
{
index: 5,
type: "solid-color",
hex_color: "#6C63FF",
position: {
x_in_px: 440.0,
y_in_px: 320.0,
},
dimensions: {
width_in_px: 120,
height_in_px: 32,
},
},
{
index: 6,
type: "text",
text: "THRILLER",
font_name: "Montserrat",
font_size_in_px: 12,
text_color: "#FFFFFF",
font_weight: "bold",
text_align: "center",
vertical_align: "center",
position: {
x_in_px: 440.0,
y_in_px: 320.0,
},
dimensions: {
width_in_px: 120,
height_in_px: 32,
},
},
{
index: 7,
type: "solid-color",
hex_color: "#22C55E",
position: {
x_in_px: 440.0,
y_in_px: 480.0,
},
dimensions: {
width_in_px: 180,
height_in_px: 40,
},
},
{
index: 8,
type: "text",
text: "Available Now",
font_name: "Montserrat",
font_size_in_px: 14,
text_color: "#FFFFFF",
font_weight: "bold",
text_align: "center",
vertical_align: "center",
position: {
x_in_px: 440.0,
y_in_px: 480.0,
},
dimensions: {
width_in_px: 180,
height_in_px: 40,
},
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.generate_image(
dimensions={
"width_in_px": 970,
"height_in_px": 600,
},
output_format="png",
layers=[
{
"index": 0,
"type": "gradient",
"gradient_type": "linear",
"angle_in_degrees": 135.0,
"colors": [
{
"hex_color": "#1B2838",
"position": 0.0,
},
{
"hex_color": "#2D3A4A",
"position": 100.0,
},
],
"position": {
"x_in_px": 0.0,
"y_in_px": 0.0,
},
"dimensions": {
"width_in_px": 970,
"height_in_px": 600,
},
},
{
"index": 1,
"type": "image",
"buffer": book_cover_base64,
"position": {
"x_in_px": 60.0,
"y_in_px": 60.0,
},
"dimensions": {
"width_in_px": 320,
"height_in_px": 480,
},
},
{
"index": 2,
"type": "text",
"text": "THE ASHWORTH CHRONICLES",
"font_name": "Montserrat",
"font_size_in_px": 14,
"text_color": "#94A3B8",
"font_weight": "bold",
"position": {
"x_in_px": 440.0,
"y_in_px": 80.0,
},
"dimensions": {
"width_in_px": 480,
"height_in_px": 24,
},
},
{
"index": 3,
"type": "text",
"text": "The Long Silence",
"font_name": "PlayfairDisplay",
"font_size_in_px": 44,
"text_color": "#FFFFFF",
"font_weight": "bold",
"position": {
"x_in_px": 440.0,
"y_in_px": 120.0,
},
"dimensions": {
"width_in_px": 480,
"height_in_px": 110,
},
},
{
"index": 4,
"type": "text",
"text": "Elizabeth Ashworth",
"font_name": "Lora",
"font_size_in_px": 20,
"text_color": "#CBD5E1",
"position": {
"x_in_px": 440.0,
"y_in_px": 250.0,
},
"dimensions": {
"width_in_px": 480,
"height_in_px": 32,
},
},
{
"index": 5,
"type": "solid-color",
"hex_color": "#6C63FF",
"position": {
"x_in_px": 440.0,
"y_in_px": 320.0,
},
"dimensions": {
"width_in_px": 120,
"height_in_px": 32,
},
},
{
"index": 6,
"type": "text",
"text": "THRILLER",
"font_name": "Montserrat",
"font_size_in_px": 12,
"text_color": "#FFFFFF",
"font_weight": "bold",
"text_align": "center",
"vertical_align": "center",
"position": {
"x_in_px": 440.0,
"y_in_px": 320.0,
},
"dimensions": {
"width_in_px": 120,
"height_in_px": 32,
},
},
{
"index": 7,
"type": "solid-color",
"hex_color": "#22C55E",
"position": {
"x_in_px": 440.0,
"y_in_px": 480.0,
},
"dimensions": {
"width_in_px": 180,
"height_in_px": 40,
},
},
{
"index": 8,
"type": "text",
"text": "Available Now",
"font_name": "Montserrat",
"font_size_in_px": 14,
"text_color": "#FFFFFF",
"font_weight": "bold",
"text_align": "center",
"vertical_align": "center",
"position": {
"x_in_px": 440.0,
"y_in_px": 480.0,
},
"dimensions": {
"width_in_px": 180,
"height_in_px": 40,
},
},
],
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.GenerateImage(il.GenerateImageRequest{
Dimensions: il.Dimensions{
WidthInPx: 970,
HeightInPx: 600,
},
OutputFormat: "png",
Layers: []il.Layer{
il.NewGradientLayer(0, "linear", []il.GradientColor{
{
HexColor: "#1B2838",
Position: 0.0,
},
{
HexColor: "#2D3A4A",
Position: 100.0,
},
}, il.Position{
XInPx: 0.0,
YInPx: 0.0,
}, il.Dimensions{
WidthInPx: 970,
HeightInPx: 600,
}),
il.NewStaticImageLayer(1, bookCoverBase64,
il.Position{
XInPx: 60.0,
YInPx: 60.0,
},
il.Dimensions{
WidthInPx: 320,
HeightInPx: 480,
}),
il.NewTextLayer(2, "THE ASHWORTH CHRONICLES", "Montserrat", 14, "#94A3B8",
il.Position{
XInPx: 440.0,
YInPx: 80.0,
},
il.Dimensions{
WidthInPx: 480,
HeightInPx: 24,
}),
il.NewTextLayer(3, "The Long Silence", "PlayfairDisplay", 44, "#FFFFFF",
il.Position{
XInPx: 440.0,
YInPx: 120.0,
},
il.Dimensions{
WidthInPx: 480,
HeightInPx: 110,
}),
il.NewTextLayer(4, "Elizabeth Ashworth", "Lora", 20, "#CBD5E1",
il.Position{
XInPx: 440.0,
YInPx: 250.0,
},
il.Dimensions{
WidthInPx: 480,
HeightInPx: 32,
}),
il.NewRectangleLayer(5, "#6C63FF",
il.Position{
XInPx: 440.0,
YInPx: 320.0,
},
il.Dimensions{
WidthInPx: 120,
HeightInPx: 32,
}),
il.NewTextLayer(6, "THRILLER", "Montserrat", 12, "#FFFFFF",
il.Position{
XInPx: 440.0,
YInPx: 320.0,
},
il.Dimensions{
WidthInPx: 120,
HeightInPx: 32,
}),
il.NewRectangleLayer(7, "#22C55E",
il.Position{
XInPx: 440.0,
YInPx: 480.0,
},
il.Dimensions{
WidthInPx: 180,
HeightInPx: 40,
}),
il.NewTextLayer(8, "Available Now", "Montserrat", 14, "#FFFFFF",
il.Position{
XInPx: 440.0,
YInPx: 480.0,
},
il.Dimensions{
WidthInPx: 180,
HeightInPx: 40,
}),
},
})
if err != nil {
panic(err)
}
}
{
"name": "Generate A+ Content Banner",
"nodes": [
{
"parameters": {
"content": "## Generate A+ Content Banner\n\nSelf-publishing authors and book marketing teams use this recipe to generate Amazon A+ Content banners at the standard 970x600 module size. Compose a book cover image, title text, series name, genre label, and availability badge \u2014 ready to upload to Amazon Author Central.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
"height_in_px": 280,
"width_in_px": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "559fde02-4e03-4197-a2af-a8ed47636035",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Generate Image\nResource: **Image Generation**\n\nConfigure the Image Generation parameters below, then connect your credentials.",
"height_in_px": 160,
"width_in_px": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "18e11dfd-dd4f-400c-983e-df6bf61e33c9",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a1b2c3d4-1111-4000-8000-000000000001",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageGeneration",
"widthInPx": 970,
"heightInPx": 600,
"outputFormat": "png",
"layersJson": "[{\"index\":0,\"type\":\"gradient\",\"gradient_type\":\"linear\",\"angle_in_degrees\":135.0,\"colors\":[{\"hex_color\":\"#1B2838\",\"position\":0.0},{\"hex_color\":\"#2D3A4A\",\"position\":100.0}],\"position\":{\"x\":0.0,\"y\":0.0},\"dimensions\":{\"width\":970,\"height\":600}},{\"index\":1,\"type\":\"image\",\"buffer\":\"<base64-encoded-book-cover>\",\"position\":{\"x\":60.0,\"y\":60.0},\"dimensions\":{\"width\":320,\"height\":480}},{\"index\":2,\"type\":\"text\",\"text\":\"THE ASHWORTH CHRONICLES\",\"font_name\":\"Montserrat\",\"font_size_in_px\":14,\"text_color\":\"#94A3B8\",\"font_weight\":\"bold\",\"position\":{\"x\":440.0,\"y\":80.0},\"dimensions\":{\"width\":480,\"height\":24}},{\"index\":3,\"type\":\"text\",\"text\":\"The Long Silence\",\"font_name\":\"PlayfairDisplay\",\"font_size_in_px\":44,\"text_color\":\"#FFFFFF\",\"font_weight\":\"bold\",\"position\":{\"x\":440.0,\"y\":120.0},\"dimensions\":{\"width\":480,\"height\":110}},{\"index\":4,\"type\":\"text\",\"text\":\"Elizabeth Ashworth\",\"font_name\":\"Lora\",\"font_size_in_px\":20,\"text_color\":\"#CBD5E1\",\"position\":{\"x\":440.0,\"y\":250.0},\"dimensions\":{\"width\":480,\"height\":32}},{\"index\":5,\"type\":\"solid-color\",\"hex_color\":\"#6C63FF\",\"position\":{\"x\":440.0,\"y\":320.0},\"dimensions\":{\"width\":120,\"height\":32}},{\"index\":6,\"type\":\"text\",\"text\":\"THRILLER\",\"font_name\":\"Montserrat\",\"font_size_in_px\":12,\"text_color\":\"#FFFFFF\",\"font_weight\":\"bold\",\"text_align\":\"center\",\"vertical_align\":\"center\",\"position\":{\"x\":440.0,\"y\":320.0},\"dimensions\":{\"width\":120,\"height\":32}},{\"index\":7,\"type\":\"solid-color\",\"hex_color\":\"#22C55E\",\"position\":{\"x\":440.0,\"y\":480.0},\"dimensions\":{\"width\":180,\"height\":40}},{\"index\":8,\"type\":\"text\",\"text\":\"Available Now\",\"font_name\":\"Montserrat\",\"font_size_in_px\":14,\"text_color\":\"#FFFFFF\",\"font_weight\":\"bold\",\"text_align\":\"center\",\"vertical_align\":\"center\",\"position\":{\"x\":440.0,\"y\":480.0},\"dimensions\":{\"width\":180,\"height\":40}}]",
"fontsJson": "[]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "a1b2c3d4-1111-4000-8000-000000000002",
"name": "Generate Image",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Generate Image",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Generate an Amazon A+ Content banner at 970x600 pixels. Use the generate_image tool with these layers:
1. Background: gradient layer from [dark color] to [lighter color] at 135 degrees
2. Book cover: image layer with [cover image] positioned left
3. Series name: text layer with [series name] in small caps
4. Title: text layer with [book title] in large bold serif font
5. Author: text layer with [author name]
6. Genre badge: solid-color rectangle with [genre] text overlay
7. CTA button: solid-color rectangle with "Available Now" text overlay
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.