Topaz Labs 模型 API

一組 PopNow API 金鑰，即可呼叫 1 個 Topaz Labs 模型，包括 Topaz Denoise & Sharpen。價格 US$0.12 /張起。

模型: 1
端點: 1
起價，/張: US$0.12

Topaz Labs 模型

Topaz Denoise & Sharpentopaz/denoise-sharpen/edit新模型去雜訊或去模糊，解析度不變，最高 2400 萬像素圖片起價US$0.12/張

Topaz Labs API 價格

模型	適合	官方價	PopNow 價格	你節省
Topaz Denoise & Sharpen`topaz/denoise-sharpen/edit`	圖片降噪	—	US$0.12/張

官方價是各開發商對同一輸出公布的價格，2026年10月14日核對。所示價格為起價；如需了解每個級距，請開啟對應模型。

呼叫一個 Topaz Labs 模型

同樣的請求適用於每個模型：只需更換模型名稱和輸入。

curl -X POST https://api.popnow.ai/api/v1/jobs/createTask \
  -H "Authorization: Bearer $POPNOW_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
  "model": "topaz/denoise-sharpen/edit",
  "input": {
    "image_url": "https://media.popnow.ai/influencer/examples/marco.webp",
    "preset": "denoise_normal",
    "output_format": "jpeg"
  }
}'

import os, uuid, requests

res = requests.post(
    "https://api.popnow.ai/api/v1/jobs/createTask",
    headers={
        "Authorization": f"Bearer {os.environ['POPNOW_API_KEY']}",
        "Idempotency-Key": str(uuid.uuid4()),
    },
    json={
        "model": "topaz/denoise-sharpen/edit",
        "input": {
            "image_url": "https://media.popnow.ai/influencer/examples/marco.webp",
            "preset": "denoise_normal",
            "output_format": "jpeg"
        }
    },
    timeout=30,
)
body = res.json()
if body["code"] != 200:
    raise RuntimeError(f'{body["code"]} {body["msg"]}')
print(body["data"]["taskId"])  # poll this id, or wait for your callBackUrl

const res = await fetch("https://api.popnow.ai/api/v1/jobs/createTask", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.POPNOW_API_KEY}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    "model": "topaz/denoise-sharpen/edit",
    "input": {
      "image_url": "https://media.popnow.ai/influencer/examples/marco.webp",
      "preset": "denoise_normal",
      "output_format": "jpeg"
    }
  }),
});
const { code, msg, data } = await res.json();
if (code !== 200) throw new Error(`${code} ${msg}`);
console.log(data.taskId); // poll this id, or wait for your callBackUrl