Create an image based on another image and a prompt

API
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1

Using the user interface, I sent an image to ChatGPT and then asked it to generate a totally new image, incorporating the image I sent. For example, uploading my profile picture and then ask ChatGPT to generate an image of a beautiful lake, and I am sitting near it reading a book.
I managed to do it from the user interface, but do not find a way to do it using API.
My project is written in NodeJS, so I use openai library. However, I can use axios in order to access directly API if necessary.

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2

Hey, @guy_aloni, welcome to the community!

And congrats on moving from ChatGPT to the API!

If you’ve not seen it yet, I recommend the Cookbook page for gpt-image-1…

Do you have code that you’re stumbling with, or are you just wondering where to start?

We’ve got a few gpt-image-1 threads already. Hope you stick around!

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3

Echoing @PaulBellow, you can do it. Read the link above.

Even you can upload two images and combine, but it changes something:

Originals:

polepole-1
polepole-11536Ă—1024 122 KB

polepole-2
polepole-21536Ă—1024 182 KB

Output:

polepole-3
polepole-31536Ă—1024 162 KB

Or If you use a mask background:

polepole-4
polepole-41536Ă—1024 129 KB

polepole-5
polepole-51536Ă—1024 171 KB

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4

It looks great, can you please share the code for NodeJs please?

5

Thanks @PaulBellow , very interesting.
I do not manage to do the same in NodeJs, and do not find any reference. Can you help me with that please?

6
Code 
const fs = require("fs");
const path = require("path");
const dotenv = require("dotenv");
const axios = require("axios");
const FormData = require("form-data");

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const outputDir = "combined_results";
const prompt = "Combine the portrait of me and my father with the lake background. We are sitting on the grass reading books peacefully with the lake in the background.";

// Images I want to combine
const imagePaths = [
  "test1.png", // People
  "test2.png", // Background
];

function getTimestampedFilename(label = "combined") {
  const now = new Date();
  const timestamp = now.toISOString().replace(/[-:T]/g, "").slice(0, 15);
  return `${label}_${timestamp}.png`;
}

(async () => {
  try {
    if (!fs.existsSync(outputDir)) fs.mkdirSync(outputDir);

    const form = new FormData();
    imagePaths.forEach((imgPath) => {
      form.append("image[]", fs.createReadStream(imgPath));
    });

    form.append("prompt", prompt);
    form.append("model", "gpt-image-1");
    form.append("size", "1536x1024");
    form.append("quality", "high");
    form.append("background", "opaque");

    console.log("🧠 Sending request to OpenAI API...");

    const response = await axios.post("https://api.openai.com/v1/images/edits", form, {
      headers: {
        Authorization: `Bearer ${OPENAI_API_KEY}`,
        ...form.getHeaders(),
      },
    });

    const base64 = response.data.data[0].b64_json;
    const filename = getTimestampedFilename("father-lake-scene");
    const outputPath = path.join(outputDir, filename);
    fs.writeFileSync(outputPath, Buffer.from(base64, "base64"));
    console.log("âś… Combined image saved as", outputPath);
  } catch (error) {
    const msg = error.response?.data?.error?.message || error.message;
    console.error("❌ Error:", msg);
  }
})();
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