Nano Banana 2.1 API

# Step 1: create the task (text-to-image) — returns a taskId right away
curl -X POST https://api.apimodels.app/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nano-banana-2-1",
    "prompt": "A cozy bookstore cafe on a rainy evening, warm window light, a hand-painted sign reading NANO BANANA 2.1 above the door, cinematic wide shot",
    "aspect_ratio": "16:9",
    "resolution": "1K"
  }'
# → { "code": 200, "data": { "taskId": "...", "state": "pending", "model": "nano-banana-2-1" } }

# Step 2: poll until state is "completed" (or "failed")
curl "https://api.apimodels.app/v1/images/generations?task_id=TASK_ID" \
  -H "Authorization: Bearer YOUR_API_KEY"
# → { "code": 200, "data": { "state": "completed", "resultUrls": ["https://..."] } }

# Edit one image — image accepts a URL, a data URI or bare base64
curl -X POST https://api.apimodels.app/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nano-banana-2-1",
    "prompt": "Keep the room and the lighting, replace the sofa with a dark green velvet one",
    "image": "https://example.com/living-room.jpg",
    "resolution": "2K"
  }'

# Combine several references — image_urls takes up to 10 (image + image_urls together: 10 max)
curl -X POST https://api.apimodels.app/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nano-banana-2-1",
    "prompt": "Put the character from image 1 into the street scene from image 2, wearing the jacket from image 3",
    "image_urls": [
      "https://example.com/character.png",
      "https://example.com/street.jpg",
      "https://example.com/jacket.jpg"
    ],
    "aspect_ratio": "4:5",
    "resolution": "2K"
  }'
# Poll GET ?task_id= exactly as in the text-to-image example.