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 a front cover image with custom artwork, title text, and author attribution.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Self-publishing authors and digital bookstores use this recipe to generate a professional front book cover. Define a canvas with a gradient background, add title and author text — ready for ebook stores, print-on-demand, or preview thumbnails.
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": 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_in_px": 0.0,
"y_in_px": 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_in_px": 50.0,
"y_in_px": 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_in_px": 50.0,
"y_in_px": 750.0,
},
"dimensions": {
"width_in_px": 500,
"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: 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_in_px: 0.0,
y_in_px: 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_in_px: 50.0,
y_in_px: 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_in_px: 50.0,
y_in_px: 750.0,
},
dimensions: {
width_in_px: 500,
height_in_px: 40,
},
},
],
});
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_in_px": 0.0,
"y_in_px": 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_in_px": 50.0,
"y_in_px": 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_in_px": 50.0,
"y_in_px": 750.0,
},
"dimensions": {
"width_in_px": 500,
"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: 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{
XInPx: 0.0,
YInPx: 0.0,
}, il.Dimensions{
WidthInPx: 600,
HeightInPx: 900,
}),
il.NewTextLayer(1, "The Art of API Design", "Playfair Display", 52, "#FFFFFF",
il.Position{
XInPx: 50.0,
YInPx: 200.0,
}, il.Dimensions{
WidthInPx: 500,
HeightInPx: 200,
}),
il.NewTextLayer(2, "Alexandra Chen", "Inter", 24, "#D4D0FF",
il.Position{
XInPx: 50.0,
YInPx: 750.0,
}, il.Dimensions{
WidthInPx: 500,
HeightInPx: 40,
}),
},
})
if err != nil {
panic(err)
}
}
{
"name": "Generate Front Book Cover",
"nodes": [
{
"parameters": {
"content": "## Generate Front Book Cover\n\nSelf-publishing authors and digital bookstores use this recipe to generate a professional front book cover. Define a canvas with a gradient background, add title and author text \u2014 ready for ebook stores, print-on-demand, or preview thumbnails.\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": "2f477ffc-eba2-4829-8db5-82e606bc4183",
"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": "5d8a159e-9e83-45a3-b106-20223749588a",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "e5f6a7b8-5555-4000-8000-000000000001",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageGeneration",
"widthInPx": 600,
"heightInPx": 900,
"outputFormat": "png",
"layersJson": "[{\"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}}]",
"fontsJson": "[]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "e5f6a7b8-5555-4000-8000-000000000002",
"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 a front book cover image at 1800x2700 pixels. Use the generate_image tool with these layers:
1. Background: gradient layer with [color scheme]
2. Title: text layer with [book title] in large bold serif font, centered
3. Author: text layer with [author name] positioned near the bottom
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}
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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.