curl https://api.pipellm.ai/v1/images/edits \
  -H "Authorization: Bearer $PIPELLM_API_KEY" \
  -F model="gpt-image-2.5-sunburst" \
  -F image="@room.png" \
  -F mask="@room-mask.png" \
  -F prompt="Replace the sofa with a green velvet one" \
  -F size="1024x1024"

import base64
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["PIPELLM_API_KEY"],
    base_url="https://api.pipellm.ai/v1",
)

result = client.images.edit(
    model="gpt-image-2.5-sunburst",
    image=open("room.png", "rb"),
    mask=open("room-mask.png", "rb"),
    prompt="Replace the sofa with a green velvet one",
    size="1024x1024",
)

with open("room-edited.png", "wb") as f:
    f.write(base64.b64decode(result.data[0].b64_json))

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

const client = new OpenAI({
  apiKey: process.env.PIPELLM_API_KEY,
  baseURL: "https://api.pipellm.ai/v1",
});

const result = await client.images.edit({
  model: "gpt-image-2.5-sunburst",
  image: await toFile(fs.createReadStream("room.png"), "room.png"),
  mask: await toFile(fs.createReadStream("room-mask.png"), "room-mask.png"),
  prompt: "Replace the sofa with a green velvet one",
  size: "1024x1024",
});

fs.writeFileSync("room-edited.png", Buffer.from(result.data[0].b64_json, "base64"));