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 YouTube thumbnail with bold title text, gradient background, and a static image cutout.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Content creators and video platforms use this recipe to generate eye-catching thumbnails at scale. Define a bold gradient canvas, overlay a subject photo with background removal, and add large title text — ready for YouTube uploads, social previews, or content management systems.
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": 1280,
"height_in_px": 720
},
"layers": [
{
"index": 0,
"type": "gradient",
"gradient_type": "linear",
"angle_in_degrees": 135.0,
"colors": [
{
"hex_color": "#FF6B00",
"position": 0.0
},
{
"hex_color": "#D90429",
"position": 100.0
}
],
"position": {
"x_in_px": 0.0,
"y_in_px": 0.0
},
"dimensions": {
"width_in_px": 1280,
"height_in_px": 720
}
},
{
"index": 1,
"type": "image",
"file": {
"type": "base64",
"name": "subject-photo.png",
"base64": "<base64-encoded-subject-photo>"
},
"should_remove_background": true,
"position": {
"x_in_px": 700.0,
"y_in_px": 60.0
}
},
{
"index": 2,
"type": "text",
"text": "I Built an App in 24 Hours",
"font_name": "Montserrat",
"font_size_in_px": 64,
"text_color": "#FFFFFF",
"font_weight": "bold",
"position": {
"x_in_px": 50.0,
"y_in_px": 120.0
},
"dimensions": {
"width_in_px": 620,
"height_in_px": 280
}
},
{
"index": 3,
"type": "text",
"text": "Dev With Alex",
"font_name": "Inter",
"font_size_in_px": 28,
"text_color": "#FFF3E0",
"position": {
"x_in_px": 50.0,
"y_in_px": 560.0
},
"dimensions": {
"width_in_px": 400,
"height_in_px": 50
}
}
],
"output_format": "png"
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.generateImage({
dimensions: {
width_in_px: 1280,
height_in_px: 720,
},
output_format: "png",
layers: [
{
index: 0,
type: "gradient",
gradient_type: "linear",
angle_in_degrees: 135.0,
colors: [
{
hex_color: "#FF6B00",
position: 0.0,
},
{
hex_color: "#D90429",
position: 100.0,
},
],
position: {
x_in_px: 0,
y_in_px: 0,
},
dimensions: {
width_in_px: 1280,
height_in_px: 720,
},
},
{
index: 1,
type: "image",
file: {
type: "base64",
name: "subject-photo.png",
base64: "<base64-encoded-subject-photo>",
},
should_remove_background: true,
position: {
x_in_px: 700,
y_in_px: 60,
},
},
{
index: 2,
type: "text",
text: "I Built an App in 24 Hours",
font_name: "Montserrat",
font_size_in_px: 64,
text_color: "#FFFFFF",
font_weight: "bold",
position: {
x_in_px: 50,
y_in_px: 120,
},
dimensions: {
width_in_px: 620,
height_in_px: 280,
},
},
{
index: 3,
type: "text",
text: "Dev With Alex",
font_name: "Inter",
font_size_in_px: 28,
text_color: "#FFF3E0",
position: {
x_in_px: 50,
y_in_px: 560,
},
dimensions: {
width_in_px: 400,
height_in_px: 50,
},
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.generate_image(
dimensions={
"width_in_px": 1280,
"height_in_px": 720,
},
output_format="png",
layers=[
{
"index": 0,
"type": "gradient",
"gradient_type": "linear",
"angle_in_degrees": 135.0,
"colors": [
{
"hex_color": "#FF6B00",
"position": 0.0,
},
{
"hex_color": "#D90429",
"position": 100.0,
},
],
"position": {
"x_in_px": 0,
"y_in_px": 0,
},
"dimensions": {
"width_in_px": 1280,
"height_in_px": 720,
},
},
{
"index": 1,
"type": "image",
"file": {
"type": "base64",
"name": "subject-photo.png",
"base64": "<base64-encoded-subject-photo>",
},
"should_remove_background": True,
"position": {
"x_in_px": 700,
"y_in_px": 60,
},
},
{
"index": 2,
"type": "text",
"text": "I Built an App in 24 Hours",
"font_name": "Montserrat",
"font_size_in_px": 64,
"text_color": "#FFFFFF",
"font_weight": "bold",
"position": {
"x_in_px": 50,
"y_in_px": 120,
},
"dimensions": {
"width_in_px": 620,
"height_in_px": 280,
},
},
{
"index": 3,
"type": "text",
"text": "Dev With Alex",
"font_name": "Inter",
"font_size_in_px": 28,
"text_color": "#FFF3E0",
"position": {
"x_in_px": 50,
"y_in_px": 560,
},
"dimensions": {
"width_in_px": 400,
"height_in_px": 50,
},
},
],
)
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: 1280,
HeightInPx: 720,
},
OutputFormat: "png",
Layers: []il.Layer{
il.NewGradientLayer(0, "linear", []il.GradientColor{
{
HexColor: "#FF6B00",
Position: 0.0,
},
{
HexColor: "#D90429",
Position: 100.0,
},
}, il.Position{
XInPx: 0,
YInPx: 0,
}, il.Dimensions{
WidthInPx: 1280,
HeightInPx: 720,
}),
il.NewStaticImageLayer(1, il.FileInput{Buffer: "<base64-encoded-subject-photo>"},
il.Position{
XInPx: 700,
YInPx: 60,
},
il.Dimensions{}),
il.NewTextLayer(2, "I Built an App in 24 Hours", "Montserrat", 64, "#FFFFFF",
il.Position{
XInPx: 50,
YInPx: 120,
},
il.Dimensions{
WidthInPx: 620,
HeightInPx: 280,
}),
il.NewTextLayer(3, "Dev With Alex", "Inter", 28, "#FFF3E0",
il.Position{
XInPx: 50,
YInPx: 560,
},
il.Dimensions{
WidthInPx: 400,
HeightInPx: 50,
}),
},
})
if err != nil {
panic(err)
}
}
{
"name": "Generate YouTube Thumbnail",
"nodes": [
{
"parameters": {
"content": "## Generate YouTube Thumbnail\n\nContent creators and video platforms use this recipe to generate eye-catching thumbnails at scale. Define a bold gradient canvas, overlay a subject photo with background removal, and add large title text \u2014 ready for YouTube uploads, social previews, or content management systems.\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": "a91b7d97-7812-4174-a020-b99f92380391",
"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": "b1400574-f9f8-4914-84d8-80aaa80aa203",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a3b4c5d6-dddd-4000-8000-000000000001",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageGeneration",
"widthInPx": 1280,
"heightInPx": 720,
"outputFormat": "png",
"layersJson": "[{\"index\":0,\"type\":\"gradient\",\"gradient_type\":\"linear\",\"angle_in_degrees\":135.0,\"colors\":[{\"hex_color\":\"#FF6B00\",\"position\":0.0},{\"hex_color\":\"#D90429\",\"position\":100.0}],\"position\":{\"x\":0.0,\"y\":0.0},\"dimensions\":{\"width\":1280,\"height\":720}},{\"index\":1,\"type\":\"image\",\"file\":{\"type\":\"base64\",\"name\":\"subject-photo.png\",\"base64\":\"<base64-encoded-subject-photo>\"},\"should_remove_background\":true,\"position\":{\"x\":700.0,\"y\":60.0}},{\"index\":2,\"type\":\"text\",\"text\":\"I Built an App in 24 Hours\",\"font_name\":\"Montserrat\",\"font_size_in_px\":64,\"text_color\":\"#FFFFFF\",\"font_weight\":\"bold\",\"position\":{\"x\":50.0,\"y\":120.0},\"dimensions\":{\"width\":620,\"height\":280}},{\"index\":3,\"type\":\"text\",\"text\":\"Dev With Alex\",\"font_name\":\"Inter\",\"font_size_in_px\":28,\"text_color\":\"#FFF3E0\",\"position\":{\"x\":50.0,\"y\":560.0},\"dimensions\":{\"width\":400,\"height\":50}}]",
"fontsJson": "[]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "a3b4c5d6-dddd-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 YouTube thumbnail at 1280x720 pixels. Use the generate_image tool with these layers:
1. Background: gradient layer with [bold colors]
2. Subject cutout: image layer with [subject image URL] positioned to one side
3. Title text: text layer with [video title] in large bold text with dark outline
4. Accent elements: solid-color shapes for visual emphasis
{
"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.