One API for every
generative model

curl -X POST "$API_BASE/api/v6/images/text2img" \
  -H "Content-Type: application/json" \
  -d '{
    "key": "YOUR_API_KEY",
    "model_id": "flux-schnell",
    "prompt": "an isometric server rack, soft studio lighting, 3d render",
    "negative_prompt": "blurry, low quality, watermark",
    "width": 1024,
    "height": 1024,
    "samples": 1,
    "num_inference_steps": 4,
    "safety_checker": "yes"
  }'

import requests

res = requests.post(
    API_BASE + "/api/v6/images/text2img",
    json={
        "key": "YOUR_API_KEY",
        "model_id": "flux-schnell",
        "prompt": "an isometric server rack, soft studio lighting",
        "width": 1024,
        "height": 1024,
        "num_inference_steps": 4,
        "safety_checker": "yes",
    },
    timeout=120,
).json()

# queued jobs return a fetch_result URL and an eta in seconds
if res["status"] == "processing":
    print("poll:", res["fetch_result"], "eta:", res["eta"])
else:
    print(res["output"])

const res = await fetch(`${API_BASE}/api/v6/images/text2img`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    key: process.env.FLUX3_API_KEY,
    model_id: "flux-schnell",
    prompt: "an isometric server rack, soft studio lighting",
    width: 1024,
    height: 1024,
    num_inference_steps: 4,
    safety_checker: "yes",
  }),
});

const data = await res.json();

if (data.status === "processing") {
  await pollUntilReady(data.fetch_result);
} else {
  console.log(data.output);
}