图片生成与编辑

curl https://api.omnirelay.ai/v1/images/generations \
  -H "Authorization: Bearer $OMNIRELAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-image-2","prompt":"A red bicycle on a white background","size":"1024x1024","quality":"low"}' \
  | jq -r '.data[0].b64_json' | base64 --decode > bicycle.png

import base64, os
from openai import OpenAI

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

result = client.images.generate(
    model="gpt-image-2",
    prompt="A red bicycle on a white background",
    size="1024x1024",
    quality="low",
)
open("bicycle.png", "wb").write(base64.b64decode(result.data[0].b64_json))

import fs from "node:fs";
import OpenAI from "openai";

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

const result = await client.images.generate({
  model: "gpt-image-2",
  prompt: "A red bicycle on a white background",
  size: "1024x1024",
  quality: "low",
});
fs.writeFileSync("bicycle.png", Buffer.from(result.data[0].b64_json, "base64"));

curl https://api.omnirelay.ai/v1/images/edits \
  -H "Authorization: Bearer $OMNIRELAY_API_KEY" \
  -F model=gpt-image-2 \
  -F prompt="Make the bicycle blue" \
  -F size=1024x1024 \
  -F image=@bicycle.png \
  | jq -r '.data[0].b64_json' | base64 --decode > blue-bicycle.png

result = client.images.edit(
    model="gpt-image-2",
    image=open("bicycle.png", "rb"),
    prompt="Make the bicycle blue",
    size="1024x1024",
)
open("blue-bicycle.png", "wb").write(base64.b64decode(result.data[0].b64_json))

const result = await client.images.edit({
  model: "gpt-image-2",
  image: fs.createReadStream("bicycle.png"),
  prompt: "Make the bicycle blue",
  size: "1024x1024",
});
fs.writeFileSync("blue-bicycle.png", Buffer.from(result.data[0].b64_json, "base64"));