GPT Image 2 Lite API

# ─── 1. Text-to-image ──────────────────────────────────────
curl -X POST https://api.apimodels.app/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2-lite",
    "prompt": "A children'"'"'s book drawing of a veterinarian using a stethoscope to listen to the heartbeat of a baby otter.",
    "aspect_ratio": "1:1",
    "resolution": "2K"
  }'

# Response (sync — image URL returned directly):
# { "code": 200, "msg": "success", "data": { "taskId": "clxxx", "state": "completed", "resultUrls": ["https://r2.apimodels.app/..."] } }


# ─── 2. Image editing with a reference URL ────────────────
curl -X POST https://api.apimodels.app/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2-lite",
    "prompt": "Change the season to winter with snow",
    "image_url": "https://example.com/landscape.jpg"
  }'


# ─── 3. Multi-image fusion via base64 ─────────────────────
curl -X POST https://api.apimodels.app/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2-lite",
    "prompt": "Combine the model from image 1 with the outfit from image 2",
    "image_base64": "BASE64_IMAGE_1",
    "image_urls": ["https://example.com/outfit.jpg"]
  }'


# ─── 4. Poll status (lite is sync, this returns completed) ─
curl "https://api.apimodels.app/v1/images/generations?task_id=TASK_ID" \
  -H "Authorization: Bearer YOUR_API_KEY"