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fal-ai/nano-banana-pro/edit
fal-ai/nano-banana-pro/edit is an image to image tool from fal that runs in the background and returns images. Pay as you go from $0.0195 per image, with one API key.
Try itfrom $0.0195 / image
Pricing
resolution: 1K and 2K $0.195, 4K $0.39 per image. Billed on num_images, default 1. enable_web_search adds $0.0195 per request. The final charge comes from usage.
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 | — | The prompt for image editing. |
image_urls | URLs or files | — | The URLs of the images to use for image-to-image generation or image editing. |
history | JSON | — | Previous native user/model turns. Replay a returned conversation's messages unchanged, including thought signatures; the current prompt is appended as a new user turn. |
context | JSON | — | Ordered text, original images, PDF or UTF-8 text documents appended to the current prompt. Uses a native provider. Images count toward the total 14-reference limit. |
return_history | true or false | false | Return reusable native conversations with original image parts and provider thought signatures. Uses a native provider. Each generated conversation is independent; send its messages as history for the next turn. |
thinking_level | text | — | Thinking effort. Pro Image supports only high; omit to retain its provider default. An explicit level requests summaries unless include_thoughts overrides it. Thinking cannot be disabled. |
image_passthrough | true or false | false | Send reference images and return provider images without resizing or re-encoding, preserving transparency and metadata. Uses direct Google or Vertex APIs; the returned image format may differ from output_format. |
include_thoughts | true or false | — | Whether to include thought summaries. Omit to preserve the existing behavior: an explicit thinking_level requests summaries. Set limit_generations=false to return summary text in description. This does not disable thinking or return intermediate thought images. |
temperature | number 0 to 2 | — | Sampling temperature. Omit to use the provider default of 1. Explicit values use a direct Google or Vertex API. |
top_p | number 0 to 1 | — | Nucleus sampling probability. Omit to use the provider default of 0.95. Explicit values use a direct Google or Vertex API. |
max_output_tokens | number (whole) 1 to 32768 | — | Maximum output tokens for the generation. Omit to retain the provider default. Explicit values use a direct Google or Vertex API. |
num_images | number (whole) 1 to 4 | 1 | The number of images to generate. |
seed | number (whole) | — | The seed for the random number generator. |
aspect_ratio | one of auto, 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16, 4:1, 1:4, 8:1, 1:8 | auto | The aspect ratio of the generated image, including 1:4, 4:1, 1:8 and 8:1. |
output_format | one of jpeg, png, webp | png | The format of the generated image. |
safety_tolerance | one of 1, 2, 3, 4, 5, 6 | 4 | The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict. |
system_prompt | text | Optional system instruction that steers the model's persona and output style across the request. Leave blank to omit; when provided, it is sent as the system instruction to Gemini (or as a system message on OpenAI-compatible providers). | |
resolution | one of 1K, 2K, 4K | 1K | The resolution of the image to generate. |
limit_generations | true or false | true | Experimental parameter to limit the number of generations from each round of prompting to 1. Set to `True` to to disregard any instructions in the prompt regarding the number of images to generate. |
enable_web_search | true or false | false | Enable web search for the image generation task. This will allow the model to use the latest information from the web to generate the image. |
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": "fal",
"model": "fal-ai/nano-banana-pro/edit",
"input": {
"prompt": "make a photo of the man driving the car down the california coastline"
}
}'