Bria Increase Resolution

Bria Increase Resolution

Playground

Bria Increase Resolution upscales images with a method that preserves original content without regeneration, producing sharper, higher-quality output. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.

Features

Bria Increase Resolution enlarges images by a fixed 2× or 4× while preserving sharp edges, textures, and natural color. It’s built on licensed training data for compliant commercial use and is ideal for design assets, product photos, and AI artwork that already look good but need more pixels.

✨ Highlights

• Fixed-factor upscale — 2× or 4× with consistent geometry and minimal ringing.
• Quality-first — enhances detail while avoiding over-sharpening or halos.
• Production-friendly I/O — synchronous or async API; URL or BASE64 output.
• Performance guardrails — maximum total area 8192×8192 px.

🧩 Parameters

• image* (required) Source image (URL or upload).

• desired_increase* (dropdown, required) Resolution multiplier: 2 or 4.

> The model respects a max total area of 8192×8192 px.

🚀 How to Use

1. Upload/Paste image (required).
2. Choose desired_increase = 2 or 4.
3. Click Run to generate and download the upscaled result.

💰 Pricing

• Per run: $0.04

🧠 Tips

• Choose the factor by destination: web UI elements often need 2×; print or large hero images benefit from 4× (when within the area cap).
• Pipeline pairing: combine with a gentle denoise or JPEG-artifact cleanup before upscaling for best results.

Notes

• This model is best suited for images that are already reasonably sharp and clean, and need additional resolution. For extremely blurry or heavily compressed sources, consider using ultimate-image-upscaler.

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",
  "desired_increase": 2
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bria/increase-resolution" \
  -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