Support for OpenAI's image edit and variation APIs

curl --location 'https://api.orq.ai/v2/proxy/images/edits' \
--header 'Authorization: Bearer ORQ_API_KEY' \
--form 'model="openai/gpt-image-1"' \
--form 'image=@"/path/to/file"' \
--form 'image=@"/path/to/file"' \
--form 'prompt="Add the style of card with the gradient style of the first image"'

import base64
from openai import OpenAI

client = OpenAI(base_url="https://api.orq.ai/v2/proxy/image/edit", api_key="ORQ_API_KEY")

prompt = """
Generate a photorealistic image of a gift basket on a white background 
labeled 'Relax & Unwind' with a ribbon and handwriting-like font, 
containing all the items in the reference pictures.
"""

result = client.images.edit(
    model="gpt-image-1",
    image=[
        open("body-lotion.png", "rb"),
        open("bath-bomb.png", "rb"),
        open("incense-kit.png", "rb"),
        open("soap.png", "rb"),
    ],
    prompt=prompt,
)

image_base64 = result.data[0].b64_json
image_bytes = base64.b64decode(image_base64)

# Save the image to a file
with open("gift-basket.png", "wb") as f:
    f.write(image_bytes)

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

const client = new OpenAI({
  baseURL: "https://api.orq.ai/v2/proxy/image/edit",
  apiKey: process.env.ORQ_API_KEY
});

const imageFiles = [
    "bath-bomb.png",
    "body-lotion.png",
    "incense-kit.png",
    "soap.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: "gpt-image-1",
    image: images,
    prompt: "Create a lovely gift basket with these four items in it",
});

// 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);