Image Generation

The most common use case is that of text-to-image where the user sends a prompt which the image model processes and returns an image.

The guide for vision models is available here.

Text-to-Image Usage

Portkey supports the OpenAI signature to make text-to-image requests.

NodeJS
Python
OpenAI NodeJS
OpenAI Python
cURL

import Portkey from 'portkey-ai';

// Initialize the Portkey client
const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",  // Replace with your Portkey API key
    provider:"@PROVIDER"   
});

async function main() {
  const image = await portkey.images.generate({
    model: "dall-e-3",
    prompt: "Lucy in the sky with diamonds"
  });

  console.log(image.data);
}

main();

from portkey_ai import Portkey
from IPython.display import display, Image

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    provider="@PROVIDER"   
)

image = portkey.images.generate(
  model="dall-e-3",
  prompt="Lucy in the sky with diamonds"
)

# Display the image
display(Image(url=image.data[0].url))

import OpenAI from 'openai'; // We're using the v4 SDK
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY', // defaults to process.env["OPENAI_API_KEY"],
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    provider: "openai",
    apiKey: "PORTKEY_API_KEY" // defaults to process.env["PORTKEY_API_KEY"]
  })
});

async function main() {
  const image = await openai.images.generate({
    model: "dall-e-3",
    prompt: "Lucy in the sky with diamonds"
  });

  console.log(image.data);
}

main();

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders
from IPython.display import display, Image

client = OpenAI(
    api_key='OPENAI_API_KEY',
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        provider="openai",
        api_key="PORTKEY_API_KEY"
    )
)

image = client.images.generate(
  model="dall-e-3",
  prompt="Lucy in the sky with diamonds",
  n=1,
  size="1024x1024"
)

# Display the image
display(Image(url=image.data[0].url))

curl "https://api.portkey.ai/v1/images/generations" \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: $OPENAI_PROVIDER" \
  -d '{
    "model": "dall-e-3",
    "prompt": "Lucy in the sky with diamonds"
  }'

API Reference

Create Image

OpenAI gpt-image-1 Parameters

For OpenAI’s gpt-image-1 model, additional parameters are supported:

Parameter	Type	Description
`moderation`	string	Content moderation level for generated images
`output_format`	string	Output format for the generated image
`output_compression`	number	Compression level (0-100) for the output image
`background`	string	Background style for the generated image
`partial_images`	number	Number of partial images to return (0-3)
`stream`	boolean	Whether to stream partial image results

On completion, the request will get logged in the logs UI where the image can be viewed. (Note that providers may remove the hosted image after a period of time, so some logs might only contain the url)

Cookbook

Here’s a detailed cookbook on image generation using Portkey which demonstrates the use of multiple providers and routing between them through Configs.

Introduction

Product

Self-Hosting

Support

Text-to-Image Usage

API Reference

OpenAI gpt-image-1 Parameters

Cookbook

​Text-to-Image Usage

​API Reference

​OpenAI gpt-image-1 Parameters

​Cookbook

Text-to-Image Usage

API Reference

OpenAI gpt-image-1 Parameters

Cookbook