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Recraft V4 Pro generates premium-quality SVG vector graphics from text prompts, designed for professional design and branding. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-image
Input

Inattivo

A cute character shiba inu wearing a yellow raincoat and rain boots, 3d flat color, design, holding a small umbrella, happy expression

$0.3per esecuzione·~33 / $10

Successivo:

EsempiVedi tutto

A cute character shiba inu wearing a yellow raincoat and rain boots, 3d flat color, design, holding a small umbrella, happy expression

A cute character shiba inu wearing a yellow raincoat and rain boots, 3d flat color, design, holding a small umbrella, happy expression

Modelli correlati

README

Recraft V4 Pro Text-to-Vector

Recraft V4 Pro Text-to-Vector is the premium tier for vector graphic generation, delivering the highest quality scalable SVG output from text descriptions. Ideal for professional logo design, detailed character illustrations, and premium design assets that require maximum fidelity.

Why Choose This?

  • Pro-tier vector quality Maximum detail, cleaner paths, and superior rendering in the Recraft vector family.

  • True vector output Generates scalable SVG files that remain crisp at any size — no pixelation.

  • Enhanced detail handling Better at complex compositions and fine details compared to standard V4.

  • Flexible aspect ratios Multiple options including 1:1, 16:9, 9:16, 4:3, and 3:4 for various use cases.

  • Prompt Enhancer Built-in tool to automatically improve your descriptions for better results.

Parameters

ParameterRequiredDescription
promptYesText description of the desired vector graphic
image_sizeNoAspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4 (default: 1:1)

How to Use

  1. Write your prompt — describe the vector graphic, including style and composition.
  2. Choose aspect ratio — select the format that fits your design needs.
  3. Use Prompt Enhancer (optional) — click to automatically refine your description.
  4. Run — submit and download your generated SVG.

Pricing

OutputCost
Per image$0.30

Best Use Cases

  • Professional Logo Design — Premium quality scalable logos and brand marks.
  • Detailed Character Design — High-fidelity flat color character illustrations.
  • Premium Brand Assets — Professional-grade graphics for corporate identity.
  • Print Production — Scalable assets for large-format printing.
  • App & Game Assets — Detailed icons and illustrations for digital products.

Pro Tips

  • Use detailed, design-focused prompts — specify "3d flat color", "vector style", or artistic direction.
  • Pro tier handles more complex compositions and finer details than standard V4.
  • Try the Prompt Enhancer to automatically improve your descriptions.
  • Match aspect ratio to your final use: 1:1 for icons and avatars, 3:4 for character designs.
  • Generated SVGs can be further refined in vector design tools like Figma or Illustrator.

Notes

  • Prompt is the only required field.
  • Output is scalable vector format (SVG).
  • Pro tier recommended for professional and commercial design work.

Related Models

Nota:Questo sito web utilizza modelli di intelligenza artificiale forniti da terze parti. I prezzi nella documentazione sono indicativi e potrebbero non essere aggiornati. Il pulsante Generate mostra una stima; fa fede l'addebito finale dell'attività.

Recraft v4 Pro Text To Vector API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4-pro/text-to-vector 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 Text To Vector below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1024*1024"
}
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/text-to-vector" \
  -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-v4-pro/text-to-vector";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "1024*1024"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1024*1024"
}

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/text-to-vector", 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 v4 Pro Text To Vector API — Frequently asked questions

What is the Recraft v4 Pro Text To Vector API?

Recraft v4 Pro Text To Vector is a Recraft model for image generation, exposed as a REST API on WaveSpeedAI. Recraft V4 Pro generates premium-quality SVG vector graphics from text prompts, designed for professional design and branding. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Recraft v4 Pro Text To Vector 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-text-to-vector.

How much does Recraft v4 Pro Text To Vector cost per run?

Recraft v4 Pro Text To Vector starts at $0.30 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 Text To Vector accept?

Key inputs: `prompt`, `size`. 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-text-to-vector.

How long does Recraft v4 Pro Text To Vector take to generate?

Median end-to-end generation time on WaveSpeedAI is around 25 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 v4 Pro Text To Vector 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.