OpenAI Image editing

curl -X POST "https://api.znapai.com/v1/images/edits" \
  -H "Authorization: Bearer $ZnapAI_API_KEY" \
  -H 'spend-logs-metadata: {"user_id": "user-123", "project_id": "proj_abc", "env": "production"}' \
  -F "model=gemini-3-pro-image" \
  -F "image=@output.png" \
  -F "prompt=An office group photo of these people, they are making funny faces." \

from openai import OpenAI

# Initialize client with your proxy URL
client = OpenAI(
    base_url="https://api.znapai.com/", 
    api_key="$ZnapAI_API_KEY"
)

# Edit an image
response = client.images.edit(
    model="gemini-3-pro-image",
    image=open("output.png", "rb"),
    prompt="An office group photo of these people, they are making funny faces.",
    n=1,
    size="1024x1024"
)

print(response)

import fs from "fs";
import OpenAI, { toFile } from "openai";

const client = new OpenAI({
    apiKey: "$ZnapAI_API_KEY",
    baseURL: "https://api.znapai.com/"
});

const imageFiles = [
    "output.png",
];

const images = await Promise.all(
    imageFiles.map(async (file) =>
        await toFile(fs.createReadStream(file), null, {
            type: "image/png",
        })
    ),
);

const rsp = await client.images.edit({
    model: "gemini-3-pro-image",
    image: images,
    prompt: "An office group photo of these people, they are making funny faces.",
});

// Save the image to a file
const image_base64 = rsp.data[0].b64_json;
const image_bytes = Buffer.from(image_base64, "base64");
fs.writeFileSync("basket.png", image_bytes);