Vosr2 Image API Documentation

Vosr2 Image API Documentation

Playground

VOSR2 Image Upscaler restores and upscales photos to 2K or 4K in a single pass, rebuilding fine structure, faces and small text with faithful color. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

VOSR2 Image Upscaler enlarges an image to 2K or 4K and restores it in a single pass. It rebuilds fine structure — hair, skin, foliage, fabric and small text — while keeping the original colors and composition, and it cleans up blur and compression artifacts along the way.

⚙️ Key Features

• Straight to the target size — the output is rendered at the full 2K or 4K resolution, not resized afterwards.
• Faithful restoration — recovers detail without repainting the subject or shifting colors.
• Any aspect ratio — the input aspect ratio is preserved.
• Fast — a 4K result typically takes around 10 seconds.

🧩 Parameters

💡 Recommended Use Cases

• Restoring old, compressed or low-resolution photos
• Enhancing portraits and product shots
• Preparing AI-generated images for print or large displays

💰 Pricing

$0.01 per image, for both 2K and 4K.

📝 Notes

• Works best on photographs and natural images. On screenshots, charts and flat graphics, large plain areas may pick up faint texture.
• Very small inputs are enlarged many times over at 4K; if a result looks too smooth, try 2k.

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",
  "target_resolution": "4k",
  "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/vosr2/image" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 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|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters