HedraImage to imageComing soon

nano-banana-pro

Name: nano-banana-pro
Brand: Hedra

nano-banana-pro is an image to image tool from Hedra that runs in the background and returns images. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Price pending

Pricing

Price pending.

Limits

Runs: In the background
Returns: image
Longest queue wait: 3600s
Run deadline: 1800s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`prompt` required	text	—	Generation prompt.
`resolution` required	one of 1K, 2K, 4K	—	Output resolution.
`aspect_ratio` required	one of adaptive, 16:9, 9:16, 1:1, 21:9, 4:3, 3:4, 3:2, 2:3, 5:4, 4:5	—	Output aspect ratio. 'adaptive' lets the model size the output itself — matching the source image when you pass one.
`seed`	number (whole)	—	Seed for reproducible output; omit for a random seed.
`images`	JSON	—	Images to edit or blend, at most 6 high-fidelity objects, 5 characters and 3 style references. 1 to 14 images, each at most 30 MB.
`num_outputs`	one of 1	1	Number of outputs generated per job. Only 1 is supported.
`google_search`	true or false	false	Ground the generation in live Google Search results, so a prompt about current events or real-world specifics draws on what the web says now. Grounded generations cost more than ungrounded ones.
`enhance_prompt`	true or false	false	Rewrite the prompt before generation. An LLM expands it into a fuller description and the model receives that text instead of the submitted one; the result's `prompt` reports what ran.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "hedra",
    "model": "nano-banana-pro",
    "input": {
      "prompt": "<prompt>",
      "resolution": "1K",
      "aspect_ratio": "adaptive"
    }
  }'