Image Zoom Out API Documentation

Image Zoom Out API Documentation

Playground

Professional AI model that generates zoomed-out and outpainted images by expanding an input photo beyond its original frame. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

The AI Image Zoom-Out model seamlessly expands the visible area of any photo or artwork. Using WaveSpeedAI’s high-fidelity diffusion outpainting engine, it intelligently reconstructs what lies beyond the frame — maintaining realistic lighting, perspective, and artistic consistency.

⚙️ Key Features

• Intelligent Outpainting Extends the canvas naturally with accurate context prediction and realistic scene continuation.

• High-Resolution Support Handles up to 4K output while maintaining detail coherence and smooth color gradients.

• Context-Aware Composition Preserves perspective, object integrity, and visual storytelling.

• Multiple Aspect Ratios Choose how far to zoom out — from subtle framing to wide cinematic compositions.

• Fast Inference Optimized for WaveSpeedAI’s acceleration clusters for rapid, artifact-free results.

💡 Recommended Use Cases

• Expanding AI-generated portraits or landscapes
• Framing close-up photos into wider compositions
• Creating cinematic storyboards or thumbnails
• Preparing content for print, poster, or wallpaper formats

💰 Pricing

Each run costs $0.016 — pay only for the images you expand.

📝 Notes

• Works best when the original image has clear subject boundaries and context.
• For creative scene re-imagining or large-area completions, try the Ultimate Image Eraser for more flexible reconstruction control.
• Output can be saved in JPEG, PNG, or WEBP format.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-zoom-out" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters