Request
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"
}'Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Request
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,
},
},
],
});Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Request
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,
},
},
],
)Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Request
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)
}
}Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Template
{
"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"
}
}Prompt
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