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Recraft Creative Upscale

recraft-ai /

Recraft Creative Upscale refines textures and fine details, adding depth and polish to complex elements—not increasing resolution. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

upscaler
इनपुट

निष्क्रिय

$0.25प्रति रन·~40 / $10

उदाहरणसभी देखें

संबंधित मॉडल

README

Recraft Creative Upscale

Enhance and upscale images with Recraft's AI-powered creative upscaler. This intelligent model goes beyond simple resolution increase — it reconstructs details, enhances textures, and improves overall image quality while maintaining natural appearance.

Why It Looks Great

  • Creative enhancement: Intelligently reconstructs details, not just enlarges pixels.
  • Texture improvement: Enhances fine details like hair, skin, fabric, and foliage.
  • Natural results: Maintains authentic appearance without artificial over-sharpening.
  • Simple workflow: Just upload an image — no complex parameters needed.
  • High-quality output: Professional-grade upscaling for print and digital use.

Parameters

ParameterRequiredDescription
imageYesThe image to upscale (upload or public URL, also accepts base64).

How to Use

  1. Upload your image — drag and drop or paste a public URL.
  2. Run — click the button to process.
  3. Download — save your enhanced, upscaled image.

Pricing

Flat rate per image.

OutputCost
Per image$0.25

Best Use Cases

  • Portrait Enhancement — Upscale portraits with improved skin texture and hair detail.
  • Photo Restoration — Enhance older or lower-resolution photos.
  • Print Preparation — Increase resolution for large-format printing.
  • Social Media to Print — Convert web-resolution images for physical media.
  • Product Photography — Enhance product images for catalogs and e-commerce.

Pro Tips for Best Results

  • Start with the highest quality source image available for best results.
  • Works well with portraits, landscapes, and product photography.
  • Creative upscaling adds intelligent detail — ideal for images that need enhancement.
  • For simple resolution increase without creative enhancement, consider standard upscalers.
  • Best results come from images with good composition and reasonable original quality.

Notes

  • If using a URL, ensure it is publicly accessible. A preview thumbnail confirms successful loading.
  • Also accepts base64 encoded images for API integration.
  • Processing time may vary based on image size and complexity.
  • Creative upscaling intelligently enhances details beyond simple interpolation.
नोट:यह वेबसाइट तृतीय पक्षों द्वारा प्रदान किए गए AI मॉडलों का उपयोग करती है।

Recraft Creative Upscale API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-creative-upscale with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Recraft Creative Upscale below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

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

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-creative-upscale";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/recraft-ai/recraft-creative-upscale", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Recraft Creative Upscale API — Frequently asked questions

What is the Recraft Creative Upscale API?

Recraft Creative Upscale is a Recraft model for upscaling, exposed as a REST API on WaveSpeedAI. Recraft Creative Upscale refines textures and fine details, adding depth and polish to complex elements—not increasing resolution. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Recraft Creative Upscale API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/recraft-ai/recraft-ai-recraft-creative-upscale.

How much does Recraft Creative Upscale cost per run?

Recraft Creative Upscale starts at $0.25 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Recraft Creative Upscale accept?

Key inputs: `image`, `enable_base64_output`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/recraft-ai/recraft-ai-recraft-creative-upscale.

How long does Recraft Creative Upscale take to generate?

Median end-to-end generation time on WaveSpeedAI is around 24 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Recraft Creative Upscale outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Recraft). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Recraft Creative Upscale | AI Image Upscaler API | WaveSpeedAI