Google Nano Banana 2 Lite Text To Image API Documentation

Google Nano Banana 2 Lite Text To Image API Documentation

Playground

Google Nano Banana 2 Lite Text to Image generates high-quality images from text prompts with low latency, flexible aspect ratios, and fast image creation for creative and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Google Nano Banana 2 Lite Text-to-Image generates images from text prompts with a fast, lightweight image model. The public interface keeps the workflow simple: write a prompt, choose an aspect ratio, select an output format, and generate a single image result.

Why Choose This?

• Fast text-to-image generation
  Generate images quickly from natural-language prompts.

• Flexible aspect ratios
  Choose common square, portrait, landscape, and wide-format aspect ratio presets.

• Simple generation controls
  The public form focuses on prompt, aspect_ratio, and output_format.

• Single-image output
  Each request generates one image for predictable cost and behavior.

• Standard image output
  Generated images are returned as URLs in the standard WaveSpeed prediction response.

Parameters

How to Use

1. Write your prompt — Describe the subject, scene, style, lighting, and composition.
2. Choose aspect ratio — Select the output aspect_ratio based on your target layout.
3. Choose output format — Use png or jpeg depending on your workflow.
4. Submit — Generate the image and retrieve the output URL.

Pricing

Best Use Cases

• Creative image generation — Generate concept art, illustrations, thumbnails, and visual ideas from text.
• Marketing assets — Create campaign images, social visuals, blog graphics, and promotional content.
• Prompt testing — Quickly iterate on prompt wording, style direction, and composition.
• Layout-specific generation — Generate square, portrait, landscape, or banner-style images for different use cases.

Pro Tips

• Use clear prompts with subject, scene, lighting, style, and composition.
• Keep the prompt focused on the main subject and visual intent.
• Use png for higher-quality general output.
• Use jpeg for smaller file sizes.
• Choose the aspect ratio based on the final placement, such as square, portrait, landscape, or wide banner.

Related Models

• Nano Banana 2 Lite Text-to-Image — Generate images directly from text prompts with Nano Banana 2 Lite.
• Nano Banana 2 Lite Edit — Edit existing images with text instructions using Nano Banana 2 Lite.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "aspect_ratio": "1:1",
  "output_format": "png"
}
JSON
)

# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-2-lite/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}"); then
  printf 'Submit failed. %s\n' "${CHECK}" >&2
  exit 1
fi

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
  # Transient errors (429, 5xx) are retried, honoring Retry-After.
  HTTP_CODE=$(curl --silent --show-error --fail-with-body \
    --connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
    --output "${BODY_FILE}" --write-out '%{http_code}' \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
  case "${HTTP_CODE}" in
    2??) ;;
    000|429|5??)  # dropped connection or temporary error: keep polling
      printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      sleep 10; continue ;;
    *) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      cat "${BODY_FILE}" >&2; exit 1 ;;
  esac
  RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted)
      printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
      printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.

Response Parameters

Result Request Parameters

Result Response Parameters