风格迁移

// npm install @krea-ai/sdk
import { openAsBlob } from "node:fs";
import { Krea } from "@krea-ai/sdk";

const krea = new Krea({ apiKey: process.env.KREA_API_KEY });

// 1. Upload the style reference
const file = await openAsBlob("./style-reference.png", { type: "image/png" });
const asset = await krea.assets.upload(file, {
  filename: "style-reference.png",
  description: "Style reference for Krea 2",
});

// 2. Generate with the reference
const result = await krea.subscribe("image/krea/krea-2/medium", {
  input: {
    prompt: "A portrait of a dancer in a quiet studio",
    aspect_ratio: "4:3",
    resolution: "1K",
    creativity: "medium",
    image_style_references: [{ url: asset.image_url, strength: 0.6 }],
  },
});

console.log(result.data?.urls[0]);

# 1. Upload the style reference
curl -X POST https://api.krea.ai/assets \
  -H "Authorization: Bearer $KREA_API_TOKEN" \
  -F "file=@./style-reference.png" \
  -F "description=Style reference for Krea 2"
# Response includes { "image_url": "https://..." }

# 2. Generate with the reference (replace IMAGE_URL with the response above)
curl -X POST https://api.krea.ai/generate/image/krea/krea-2/medium \
  -H "Authorization: Bearer $KREA_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A portrait of a dancer in a quiet studio",
    "aspect_ratio": "4:3",
    "resolution": "1K",
    "creativity": "medium",
    "image_style_references": [
      { "url": "IMAGE_URL", "strength": 0.6 }
    ]
  }'

import os
import requests

API_BASE = "https://api.krea.ai"
API_TOKEN = os.environ["KREA_API_TOKEN"]
headers = {"Authorization": f"Bearer {API_TOKEN}"}

# 1. Upload the style reference
with open("style-reference.png", "rb") as f:
    upload = requests.post(
        f"{API_BASE}/assets",
        headers=headers,
        files={"file": ("style-reference.png", f, "image/png")},
        data={"description": "Style reference for Krea 2"},
    )
upload.raise_for_status()
asset = upload.json()

# 2. Generate with the reference
generation = requests.post(
    f"{API_BASE}/generate/image/krea/krea-2/medium",
    headers={**headers, "Content-Type": "application/json"},
    json={
        "prompt": "A portrait of a dancer in a quiet studio",
        "aspect_ratio": "4:3",
        "resolution": "1K",
        "creativity": "medium",
        "image_style_references": [
            {"url": asset["image_url"], "strength": 0.6},
        ],
    },
)
generation.raise_for_status()
print(generation.json())  # { "job_id": "..." } — poll /jobs/{id} for the result