提供源图像和 prompt，即可编辑现有图像。模型会理解图像内容并应用你要求的更改。

使用 xAI SDK 时，仍使用相同的 sample() 方法，只需添加 image_url 参数：

import base64
import xai_sdk

client = xai_sdk.Client()

# Load image from file and encode as base64
with open("photo.png", "rb") as f:
    image_data = base64.b64encode(f.read()).decode("utf-8")

response = client.image.sample(
    prompt="Render this as a pencil sketch with detailed shading",
    model="grok-imagine-image-2.0",
    image_url=f"data:image/png;base64,{image_data}",
)

print(response.url)

# Using a public URL as the source image
curl -X POST https://api.x.ai/v1/images/edits \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-imagine-image-2.0",
    "prompt": "Render this as a pencil sketch with detailed shading",
    "image": {
      "url": "https://docs.x.ai/assets/api-examples/images/style-realistic.png",
      "type": "image_url"
    }
  }'

import { xai } from "@ai-sdk/xai";
import { generateImage } from "ai";
import fs from "fs";

// Load image and encode as base64
const imageBuffer = fs.readFileSync("photo.png");
const base64Image = imageBuffer.toString("base64");

const { image } = await generateImage({
    model: xai.image("grok-imagine-image-2.0"),
    prompt: {
        text: "Render this as a pencil sketch with detailed shading",
        images: [`data:image/png;base64,${base64Image}`],
    },
});

console.log(image.base64);