Topaz Image Upscale API Documentation

Topaz Image Upscale API Documentation

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Topaz Image Upscale enlarges photos to 2K, 4K or 8K with precise, non-generative Topaz upscaling models. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Topaz Image Upscale enlarges photos to 2K, 4K or 8K with precise, non-generative Topaz upscaling models, powered by Topaz Labs models.


Why Choose This?

  • Professional Topaz quality
    The same models used by photographers, filmmakers and studios.

  • Choose the right model
    6 Topaz models, each tuned for a different kind of image.

  • Pay for what you process
    Pricing follows the size of the output, matching Topaz’s own rates.


Parameters

ParameterRequiredDescription
imageYesThe image to process (JPEG, PNG, TIFF or WebP).
modelNoThe Topaz model to use. Default: Standard V2.
target_resolutionNoThe target resolution of the output: 2k (about 4 MP), 4k (about 16.8 MP) or 8k (about 67 MP). The source aspect ratio is preserved. Options: 2k, 4k, 8k. Default: 4k.
output_formatNoThe format of the output image. Options: jpeg, png. Default: jpeg.

Models

ModelBest for
Standard V2General-purpose upscaling balancing detail, sharpness and noise (default).
High Fidelity V2Faithful upscaling for high-quality sources.
Upscale High Fidelity V3Improved high-fidelity upscaling for high-resolution images.
Low Resolution V2Recovery-focused upscaling for small, low-resolution images.
CGIPrecise upscaling for artwork, illustrations and CG renders.
Text RefineClean upscaling for text, graphics and shapes.

Pricing

2k: $0.10 per image. 4k: $0.10 per image. 8k: $0.30 per image.


How to Use

  1. Upload your image — Provide a URL or upload a file.
  2. Pick a model — Start with the default Standard V2 and switch if your content needs it.
  3. Choose the target resolution — 2k, 4k, 8k.
  4. Submit — Download the result when it is ready.

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",
  "model": "Standard V2",
  "target_resolution": "4k",
  "output_format": "jpeg"
}
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/topaz/image/upscale" \
  -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

Retry temporary errors only while polling, never the submit request. Errors, retries and timeouts

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The image to process (JPEG, PNG, TIFF or WebP).
modelstringNoStandard V2Standard V2, High Fidelity V2, Upscale High Fidelity V3, Low Resolution V2, CGI, Text RefineThe Topaz model to use. Standard V2: General-purpose upscaling balancing detail, sharpness and noise (default). High Fidelity V2: Faithful upscaling for high-quality sources. Upscale High Fidelity V3: Improved high-fidelity upscaling for high-resolution images. Low Resolution V2: Recovery-focused upscaling for small, low-resolution images. CGI: Precise upscaling for artwork, illustrations and CG renders. Text Refine: Clean upscaling for text, graphics and shapes.
target_resolutionstringNo4k2k, 4k, 8kThe target resolution of the output: 2k (about 4 MP), 4k (about 16.8 MP) or 8k (about 67 MP). The source aspect ratio is preserved.
output_formatstringNojpegjpeg, pngThe format of the output image.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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