Request
# Step 1: Optimize product photo
TRANSFORM_RESULT=$(curl -s -X POST \
https://api.iterationlayer.com/image-transformation/v1/transform \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"file": {
"type": "url",
"name": "product-photo.jpg",
"url": "https://example.com/products/raw-photo.jpg"
},
"operations": [
{
"type": "resize",
"width_in_px": 1000,
"height_in_px": 1000,
"fit": "contain"
},
{ "type": "auto_contrast" },
{
"type": "sharpen",
"sigma": 1.5,
},
{
"type": "convert",
"format": "webp",
"quality": 90
}
]
}')
PRODUCT_IMAGE_BASE64=$(echo "$TRANSFORM_RESULT" | jq -r '.data.buffer')
# Step 2: Generate promotional banner with optimized product photo
curl -X POST \
https://api.iterationlayer.com/image-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d "{
\"dimensions\": {
\"width\": 1200,
\"height\": 628
},
\"output_format\": \"png\",
\"layers\": [
{
\"index\": 0,
\"type\": \"solid-color\",
\"hex_color\": \"#1a1a2e\"
},
{
\"index\": 1,
\"type\": \"static-image\",
\"buffer\": \"$PRODUCT_IMAGE_BASE64\",
\"position\": {
\"x\": 600.0,
\"y\": 64.0
},
\"dimensions\": {
\"width\": 500,
\"height\": 500
}
},
{
\"index\": 2,
\"type\": \"text\",
\"text\": \"Flash Sale\",
\"font_name\": \"Montserrat\",
\"font_size_in_px\": 56,
\"text_color\": \"#FFFFFF\",
\"font_weight\": \"bold\",
\"position\": {
\"x\": 60.0,
\"y\": 180.0
},
\"dimensions\": {
\"width\": 500,
\"height\": 80
}
},
{
\"index\": 3,
\"type\": \"text\",
\"text\": \"Save 25%\",
\"font_name\": \"Montserrat\",
\"font_size_in_px\": 36,
\"text_color\": \"#E94560\",
\"font_weight\": \"bold\",
\"position\": {
\"x\": 60.0,
\"y\": 280.0
},
\"dimensions\": {
\"width\": 500,
\"height\": 60
}
}
]
}"Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Request
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
// Step 1: Optimize product photo
const transformResult = await client.transformImage({
file: {
type: "url",
name: "product-photo.jpg",
url: "https://example.com/products/raw-photo.jpg",
},
operations: [
{
type: "resize",
width_in_px: 1000,
height_in_px: 1000,
fit: "contain",
},
{ type: "auto_contrast" },
{
type: "sharpen",
sigma: 1.5,
},
{
type: "convert",
format: "webp",
quality: 90,
},
],
});
const productImageBase64 = transformResult.data.buffer;
// Step 2: Generate promotional banner with optimized product photo
const bannerResult = await client.generateImage({
dimensions: {
width_in_px: 1200,
height_in_px: 628,
},
output_format: "png",
layers: [
{
index: 0,
type: "solid-color",
hex_color: "#1a1a2e",
},
{
index: 1,
type: "image",
buffer: productImageBase64,
position: {
x_in_px: 600.0,
y_in_px: 64.0,
},
dimensions: {
width_in_px: 500,
height_in_px: 500,
},
},
{
index: 2,
type: "text",
text: "Flash Sale",
font_name: "Montserrat",
font_size_in_px: 56,
text_color: "#FFFFFF",
font_weight: "bold",
position: {
x_in_px: 60.0,
y_in_px: 180.0,
},
dimensions: {
width_in_px: 500,
height_in_px: 80,
},
},
{
index: 3,
type: "text",
text: "Save 25%",
font_name: "Montserrat",
font_size_in_px: 36,
text_color: "#E94560",
font_weight: "bold",
position: {
x_in_px: 60.0,
y_in_px: 280.0,
},
dimensions: {
width_in_px: 500,
height_in_px: 60,
},
},
],
});Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Request
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
# Step 1: Optimize product photo
transform_result = client.transform_image(
file={
"type": "url",
"name": "product-photo.jpg",
"url": "https://example.com/products/raw-photo.jpg",
},
operations=[
{
"type": "resize",
"width_in_px": 1000,
"height_in_px": 1000,
"fit": "contain",
},
{"type": "auto_contrast"},
{
"type": "sharpen",
"sigma": 1.5,
},
{
"type": "convert",
"format": "webp",
"quality": 90,
},
],
)
product_image_base64 = transform_result["data"]["buffer"]
# Step 2: Generate promotional banner with optimized product photo
banner_result = client.generate_image(
dimensions={
"width_in_px": 1200,
"height_in_px": 628,
},
output_format="png",
layers=[
{
"index": 0,
"type": "solid-color",
"hex_color": "#1a1a2e",
},
{
"index": 1,
"type": "image",
"buffer": product_image_base64,
"position": {
"x_in_px": 600.0,
"y_in_px": 64.0,
},
"dimensions": {
"width_in_px": 500,
"height_in_px": 500,
},
},
{
"index": 2,
"type": "text",
"text": "Flash Sale",
"font_name": "Montserrat",
"font_size_in_px": 56,
"text_color": "#FFFFFF",
"font_weight": "bold",
"position": {
"x_in_px": 60.0,
"y_in_px": 180.0,
},
"dimensions": {
"width_in_px": 500,
"height_in_px": 80,
},
},
{
"index": 3,
"type": "text",
"text": "Save 25%",
"font_name": "Montserrat",
"font_size_in_px": 36,
"text_color": "#E94560",
"font_weight": "bold",
"position": {
"x_in_px": 60.0,
"y_in_px": 280.0,
},
"dimensions": {
"width_in_px": 500,
"height_in_px": 60,
},
},
],
)
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")
// Step 1: Optimize product photo
transformResult, err := client.TransformImage(il.TransformImageRequest{
File: il.FileInput{Type: "url", Name: "product-photo.jpg", Url: "https://example.com/products/raw-photo.jpg"},
Operations: []il.TransformOperation{
il.NewResizeOperation(1000, 1000, "contain"),
{Type: "auto_contrast"},
il.NewSharpenOperation(1.5),
il.NewConvertOperation("webp"),
},
})
if err != nil {
panic(err)
}
// Step 2: Generate promotional banner with optimized product photo
bannerResult, err := client.GenerateImage(
il.GenerateImageRequest{
Dimensions: il.Dimensions{
WidthInPx: 1200, HeightInPx: 628,
},
OutputFormat: "png",
Layers: []il.Layer{
il.NewSolidColorBackgroundLayer(0, "#1a1a2e"),
il.NewStaticImageLayer(
1, transformResult.Data.Buffer,
il.Position{
XInPx: 600.0,
YInPx: 64.0,
},
il.Dimensions{
WidthInPx: 500,
HeightInPx: 500,
},
),
il.NewTextLayer(
2, "Flash Sale", "Montserrat", 56, "#FFFFFF",
il.Position{
XInPx: 60.0,
YInPx: 180.0,
},
il.Dimensions{
WidthInPx: 500,
HeightInPx: 80,
},
),
il.NewTextLayer(
3, "Save 25%", "Montserrat", 36, "#E94560",
il.Position{
XInPx: 60.0,
YInPx: 280.0,
},
il.Dimensions{
WidthInPx: 500,
HeightInPx: 60,
},
),
},
},
)
if err != nil {
panic(err)
}
}Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/png"
}
}Template
{
"name": "Generate Product Promo Banner",
"nodes": [
{
"parameters": {
"content": "## Generate Product Promo Banner\n\nE-commerce teams use this pipeline to create promotional banners from raw product photos. Optimize the product image for web, then composite it onto a banner with sale messaging and pricing \u2014 ready for ads, email campaigns, or social media.\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": "165c6cae-c517-466c-b457-017d41ef255f",
"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": "d0e30702-3236-4d5b-b6db-58943e78c2e7",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "8c932661-770b-4c6d-b9af-e11756428109",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageGeneration",
"widthInPx": 1200,
"heightInPx": 630,
"outputFormat": "png",
"layersJson": "[]",
"fontsJson": "[]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "c8fc1270-b021-4063-a9f2-c926a0b9e623",
"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
Optimize a product photo and compose it into a promotional banner. First, use transform_image to resize and optimize [product image URL] for web. Then, use generate_image to create a banner with these layers:
1. Background: gradient layer with [brand colors]
2. Product photo: image layer with the optimized product image
3. Sale text: text layer with [sale message] in large bold text
4. Price: text layer with [price] and [original price] strikethrough