Image generation

Generate AI images from text prompts through one REST endpoint. FLUX, Imagen, Seedream, GPT Image and Nano Banana all take the same request shape.

#Generate an image

Enqueue a job to generate an image from a text prompt, or edit an existing image.

POSThttps://api.rendley.com/v1/ai/generate-image

API key

Don't have one? Create an API key

Body

model_idoptionalstring

Which model to use. Changing it updates the params below.

paramsrequiredjson

Model-specific parameters. The fields listed for the selected model.

promptrequiredstring

A text description of the image you want to generate

image_inputsoptionalstring[]

Input images to transform or use as reference (supports multiple images)

aspect_ratiooptionalstring

Aspect ratio of the generated image

project_idoptionalstring

workspace_idoptionalstring

const res = await fetch("https://api.rendley.com/v1/ai/generate-image", {
  method: "POST",
  headers: { Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json" },
  body: JSON.stringify({
    "params": {
      "prompt": "A cinematic shot of a city at sunset"
    },
    "model_id": "nano-banana"
  }),
});
const { data } = await res.json();

curl -X POST "https://api.rendley.com/v1/ai/generate-image" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "params": {
      "prompt": "A cinematic shot of a city at sunset"
    },
    "model_id": "nano-banana"
  }'

import requests

res = requests.post(
    "https://api.rendley.com/v1/ai/generate-image",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "params": {
            "prompt": "A cinematic shot of a city at sunset"
        },
        "model_id": "nano-banana"
    },
)
data = res.json()["data"]

$ch = curl_init("https://api.rendley.com/v1/ai/generate-image");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, "POST");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["Authorization: Bearer YOUR_API_KEY", "Content-Type: application/json"]);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode(["params" => ["prompt" => "A cinematic shot of a city at sunset"], "model_id" => "nano-banana"]));

$response = curl_exec($ch);
curl_close($ch);
$data = json_decode($response, true)["data"];

package main

import (
	"fmt"
	"io"
	"net/http"
	"bytes"
)

func main() {
	body := bytes.NewBufferString(`{
  "params": {
    "prompt": "A cinematic shot of a city at sunset"
  },
  "model_id": "nano-banana"
}`)
	req, _ := http.NewRequest("POST", "https://api.rendley.com/v1/ai/generate-image", body)
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	req.Header.Set("Content-Type", "application/json")
	res, _ := http.DefaultClient.Do(req)
	defer res.Body.Close()
	b, _ := io.ReadAll(res.Body)
	fmt.Println(string(b))
}

require "net/http"
require "json"

uri = URI("https://api.rendley.com/v1/ai/generate-image")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer YOUR_API_KEY"
req["Content-Type"] = "application/json"
req.body = { params: { prompt: "A cinematic shot of a city at sunset" }, model_id: "nano-banana" }.to_json

res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |http| http.request(req) }
data = JSON.parse(res.body)["data"]

Response

{
  "data": {
    "job_id": "d97241f2-e1e4-4651-b078-8663fc35c584"
  }
}

#Calculate image generation cost

Calculate the credit cost of generating or editing an image.

POSThttps://api.rendley.com/v1/ai/generate-image/cost