Neta.art Lab 模型 API

用一把 PopNow API 密钥调用 1 个 Neta.art Lab 模型：Neta Lumina。起价 US$0.012 /张。

模型: 1
接口: 1
起价，/张: US$0.012

Neta.art Lab 模型

Neta Luminaneta-art/neta-lumina/text-to-image用标签或一句话都能画动漫插画图片9 种画幅起价US$0.012/张

Neta.art Lab API 价格

模型	适合	官方价	PopNow 价格	你节省
Neta Lumina`neta-art/neta-lumina/text-to-image`	生成图片	—	US$0.012/张

官方价是各厂商对同一输出公布的价格，2026年10月14日核对。所示价格为起价；如需了解每个档位，请打开对应模型。

Neta.art Lab 最新上线

2025年7月22日Neta Lumina图片 · 起价 US$0.012 /张

更新日志

调用一个 Neta.art Lab 模型

同样的请求适用于每个模型：只需更换模型名和输入。

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": "neta-art/neta-lumina/text-to-image",
  "input": {
    "prompt": "A ceramic teapot on a linen cloth, soft window light, muted palette",
    "aspect_ratio": "1:1",
    "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": "neta-art/neta-lumina/text-to-image",
        "input": {
            "prompt": "A ceramic teapot on a linen cloth, soft window light, muted palette",
            "aspect_ratio": "1:1",
            "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 ${process.env.POPNOW_API_KEY}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    "model": "neta-art/neta-lumina/text-to-image",
    "input": {
      "prompt": "A ceramic teapot on a linen cloth, soft window light, muted palette",
      "aspect_ratio": "1:1",
      "output_format": "jpeg"
    }
  }),
});
const { code, msg, data } = await res.json();
if (code !== 200) throw new Error(`${code} ${msg}`);
console.log(data.taskId); // poll this id, or wait for your callBackUrl