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Recraft V4 Pro Create Style creates a reusable Recraft style ID from reference images, enabling consistent visual style control for image generation, brand assets, design systems, marketing visuals, and creative production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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eccc5359-ccff-4dbf-9c84-1b529c443fde

$0.0055per run·~181 / $1

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Recraft V4 Pro Create Style

Recraft V4 Pro Create Style creates a reusable Pro style from reference images. Upload 1 to 10 images, choose a base style, and control how closely the generated style should match the references.

Why Choose This?

  • Reusable Pro style creation
    Create a reusable style ID for Recraft V4 Style Pro generation workflows.

  • Reference-based style capture
    Use uploaded images to define the visual style, mood, composition, and design language.

  • Multi-image input
    Upload 1 to 10 reference images for stronger and more consistent style extraction.

  • Style match control
    Choose precise for closer reference matching or flexible for broader interpretation.

  • Base style selection
    Use any for general styles or vector_illustration for vector-style references.

Parameters

ParameterRequiredDescription
imagesYesReference images used to create the reusable style. Supports 1 to 10 image URLs.
base_styleNoBase style type: any or vector_illustration. Default: any.
matchNoStyle match mode: precise or flexible. Default: precise.

How to Use

  1. Upload reference images — Provide 1 to 10 images that represent the style you want to capture.
  2. Choose base style — Use any for general style creation or vector_illustration for vector-style output.
  3. Set match mode — Use precise for closer style matching or flexible for broader interpretation.
  4. Submit — Generate a reusable Pro style result.

Pricing

Pricing is fixed at $0.0055 per request.

OutputCost
One Pro style creation request$0.0055

images, base_style, and match do not add separate charges.

Best Use Cases

  • Pro style creation — Create reusable style IDs for Recraft V4 Style Pro workflows.
  • Brand visual systems — Capture brand visuals, campaign looks, or design directions from references.
  • Illustration style matching — Build reusable styles from vector or illustration references.
  • Creative consistency — Reuse the same style across later image or vector generation tasks.
  • Production workflows — Standardize style before generating larger creative batches.

Pro Tips

  • Use visually consistent reference images for stronger style extraction.
  • Provide multiple references when the style is complex or needs better definition.
  • Use precise when the generated style should closely follow the references.
  • Use flexible when you want the model to generalize the style more broadly.
  • Use vector_illustration when the references are clearly vector-style or flat illustration assets.

Notes

  • The generated style_id must be used with the matching model version.
  • Use a Recraft V4 Style Pro style_id only with recraft-v4-style-pro models.
  • Use a standard Recraft V4 style_id only with recraft-v4-style models.
  • Do not mix standard and Pro style IDs across model versions.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Recraft v4 Pro Create Style API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4-pro/create-style 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 v4 Pro Create Style below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "images": [
        "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
    ],
    "base_style": "any",
    "match": "precise"
}
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-v4-pro/create-style" \
  -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="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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4-pro/create-style";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "images": [
                "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
        ],
        "base_style": "any",
        "match": "precise"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  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 = {
    "images": [
        "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
    ],
    "base_style": "any",
    "match": "precise"
}

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-v4-pro/create-style", 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 = 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", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Recraft v4 Pro Create Style API — Frequently asked questions

What is the Recraft v4 Pro Create Style API?

Recraft v4 Pro Create Style is a Recraft model for AI inference, exposed as a REST API on WaveSpeedAI. Recraft V4 Pro Create Style creates a reusable Recraft style ID from reference images, enabling consistent visual style control for image generation, brand assets, design systems, marketing visuals, and creative production workflows. 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 v4 Pro Create Style 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-v4-pro-create-style.

How much does Recraft v4 Pro Create Style cost per run?

Recraft v4 Pro Create Style starts at $0.005 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 v4 Pro Create Style accept?

Key inputs: `images`, `base_style`, `match`. 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-v4-pro-create-style.

How do I get started with the Recraft v4 Pro Create Style API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Recraft v4 Pro Create Style 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 V4 Pro Create Style API on WaveSpeedAI