Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
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Generate a front cover image with custom artwork, title text, and author attribution.
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Review the instructions the agent will receive before you install.
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.
The English summary is being prepared. Showing the original description.
Compress an image to fit within a specific file size in bytes using quality-first compression.
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Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
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Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
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Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
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Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
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