GPT Image 2.6 Flare API

curl -X POST https://api.apimart.ai/v1/images/generations \
  -H "Authorization: Bearer $APIMART_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.6-flare",
    "prompt": "四张亚麻桌布上的陶瓷咖啡杯平铺构图，柔和日光，道具极简",
    "n": 4,
    "size": "1:1",
    "resolution": "1k",
    "quality": "medium",
    "complexity": "high"
  }'

import os
import time
import requests

API_BASE = "https://api.apimart.ai"
headers = {"Authorization": f"Bearer {os.environ['APIMART_API_KEY']}"}

# 1. Submit the generation task
payload = {
  "model": "gpt-image-2.6-flare",
  "prompt": "四张亚麻桌布上的陶瓷咖啡杯平铺构图，柔和日光，道具极简",
  "n": 4,
  "size": "1:1",
  "resolution": "1k",
  "quality": "medium",
  "complexity": "high"
}
resp = requests.post(f"{API_BASE}/v1/images/generations", headers=headers, json=payload, timeout=60)
resp.raise_for_status()
task_id = resp.json()["data"][0]["task_id"]

# 2. Poll the task until it finishes
for _ in range(200):
    task_resp = requests.get(f"{API_BASE}/v1/tasks/{task_id}", headers=headers, timeout=30)
    task_resp.raise_for_status()
    task = task_resp.json()["data"]
    if task["status"] == "completed":
        print(task["result"]["images"][0]["url"][0])
        break
    if task["status"] == "failed":
        raise RuntimeError(task.get("error", {}).get("message", "generation failed"))
    time.sleep(3)
else:
    raise TimeoutError(f"task {task_id} did not finish in time; continue GET polling with this task ID")

curl -X POST https://api.apimart.ai/v1/images/generations \
  -H "Authorization: Bearer $APIMART_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.6-flare",
    "prompt": "把这件产品放到阳光下的咖啡馆桌面上，背后是虚化的街景，标签保持不变",
    "image_urls": [
      "https://example.com/product.png"
    ],
    "resolution": "1k",
    "quality": "medium",
    "complexity": "low",
    "markup_url": "https://example.com/product-markup.png"
  }'

curl -X POST https://api.apimart.ai/v1/images/generations \
  -H "Authorization: Bearer $APIMART_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "四张亚麻桌布上的陶瓷咖啡杯平铺构图，柔和日光，道具极简",
    "model": "gpt-image-2.6-flare",
    "output_format": "gif",
    "size": "512x512",
    "frame_count": 9,
    "frame_duration_ms": 200,
    "quality": "low",
    "complexity": "low",
    "n": 1
  }'

curl -X POST https://api.apimart.ai/v1/images/generations \
  -H "Authorization: Bearer $APIMART_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "四张亚麻桌布上的陶瓷咖啡杯平铺构图，柔和日光，道具极简",
    "model": "gpt-image-2.6-flare",
    "output_format": "svg",
    "svg": {
      "model": "gpt-5.4-mini"
    },
    "size": "1:1",
    "quality": "low",
    "complexity": "high",
    "n": 1
  }'

TASK_ID="task_xxx"  # replace with the task_id returned by the POST request
curl "https://api.apimart.ai/v1/tasks/$TASK_ID" \
  -H "Authorization: Bearer $APIMART_API_KEY"