Редактирование и объединение изображений

curl -s https://api.ofox.ai/v1/images/edits \
  -H "Authorization: Bearer YOUR_OFOX_API_KEY" \
  -F "model=openai/gpt-image-2.5-flare" \
  -F "image=@input.png" \
  -F "prompt=Replace the background with a wooden table, keep the subject unchanged" \
  -F "quality=low" \
  -o response.json
 
jq -r '.data[0].b64_json' response.json | base64 --decode > output.png

import base64
from openai import OpenAI
 
client = OpenAI(
    api_key="YOUR_OFOX_API_KEY",  # замените на свой ключ
    base_url="https://api.ofox.ai/v1",
)
 
result = client.images.edit(
    model="openai/gpt-image-2.5-flare",
    image=open("input.png", "rb"),
    prompt="Replace the background with a wooden table, keep the subject unchanged",
    quality="low",
)
 
with open("output.png", "wb") as f:
    f.write(base64.b64decode(result.data[0].b64_json))
print("Saved output.png")

// Node.js 18+, устанавливать зависимости не нужно
import { readFileSync, writeFileSync } from "node:fs";
 
const form = new FormData();
form.append("model", "openai/gpt-image-2.5-flare");
form.append("image", new Blob([readFileSync("input.png")], { type: "image/png" }), "input.png");
form.append("prompt", "Replace the background with a wooden table, keep the subject unchanged");
form.append("quality", "low");
 
const res = await fetch("https://api.ofox.ai/v1/images/edits", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_OFOX_API_KEY", // замените на свой ключ
  },
  body: form,
});
 
const json = await res.json();
if (!res.ok) throw new Error(JSON.stringify(json));
writeFileSync("output.png", Buffer.from(json.data[0].b64_json, "base64"));
console.log("Saved output.png");

# До 16 изображений за запрос, ≤ 15 МБ каждое
curl -s https://api.ofox.ai/v1/images/edits \
  -H "Authorization: Bearer YOUR_OFOX_API_KEY" \
  -F "model=openai/gpt-image-2.5-flare" \
  -F "image[]=@input.png" \
  -F "image[]=@input2.png" \
  -F "prompt=Place the subject of the first image onto the background of the second" \
  -F "quality=low" \
  -o response.json
 
jq -r '.data[0].b64_json' response.json | base64 --decode > output.png

import base64
from openai import OpenAI
 
client = OpenAI(
    api_key="YOUR_OFOX_API_KEY",  # замените на свой ключ
    base_url="https://api.ofox.ai/v1",
)
 
# До 16 изображений за запрос, ≤ 15 МБ каждое
result = client.images.edit(
    model="openai/gpt-image-2.5-flare",
    image=[open("input.png", "rb"), open("input2.png", "rb")],
    prompt="Place the subject of the first image onto the background of the second",
    quality="low",
)
 
with open("output.png", "wb") as f:
    f.write(base64.b64decode(result.data[0].b64_json))
print("Saved output.png")