Product Shots

• Nano Banana 2

Articles about this pipeline

• Best AI Image Generators: A Practical Model Comparison

Product Shots API

Call this pipeline from your own code. One request dispatches a run; the model is an input field, not a separate endpoint.

import { createClient } from "@pipe2-ai/sdk";

const client = createClient(process.env.PIPE2_TOKEN!);

const { run_pipeline } = await client.RunPipeline({
  pipeline_slug: "product-shots",
  input: {
    product_image: "https://example.com/product.png",
    environments: ["white_background","lifestyle","detail_closeup"],
  },
});

import asyncio
import os

from pipe2 import Pipe2Client

client = Pipe2Client(token=os.environ["PIPE2_TOKEN"])

run = asyncio.run(client.run_pipeline(
    pipeline_slug="product-shots",
    input={
        "product_image": "https://example.com/product.png",
        "environments": ["white_background","lifestyle","detail_closeup"],
    },
))

client := pipe2.NewClient(os.Getenv("PIPE2_TOKEN"))

input := json.RawMessage(`{
  "product_image": "https://example.com/product.png",
  "environments": ["white_background","lifestyle","detail_closeup"]
}`)

run, err := pipe2.RunPipeline(context.Background(), client, "product-shots", input)
if err != nil {
    log.Fatal(err)
}

pipe2 pipelines run \
  --pipeline product-shots \
  --input-json '{"product_image": "https://example.com/product.png", "environments": ["white_background","lifestyle","detail_closeup"]}' \
  --wait

Get an API token →

Parameters

environments required

Array of 1-7 environments to generate. white_background is Amazon-compliant main image (pure white, 85% product fill). lifestyle is an aspirational real-world scene. in_use shows hands holding or using the product (proven to increase click-through via mirror neurons). detail_closeup is a macro texture shot (justifies premium pricing). scale_reference shows the product next to a hand or common object (reduces returns from size mismatch). gradient_studio is a premium ad-creative backdrop. outdoor is a natural environment for ad creative. The Amazon 7-image formula is: white_background + lifestyle + scale_reference + detail_closeup + in_use + a second lifestyle. You pay per environment selected.

array default white_background,lifestyle,detail_closeup

product_image required

URL of the source product photo. One shot is enough, the AI preserves product shape, color, and branding and only changes the background.

string

aspect_ratio

Output aspect ratio for the generated shots.

1:14:53:42:34:39:1616:9 default 1:1

Use it from an AI agent

Point any MCP client at pipe2 and your agent gets these tools. It finds this pipeline, reads the same schema above, then runs it.

• list_pipelines
• get_pipeline_schema
• run_pipeline
• get_pipeline_run_status
• request_upload

{
  "mcpServers": {
    "pipe2ai": {
      "url": "https://mcp.pipe2.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_TOKEN" }
    }
  }
}

Full API reference→ MCP setup→ CLI reference→

Frequently Asked Questions