Recraft V4 Pro Style Text-to-Vector generates styled vector graphics from text prompts using either a reusable style ID or reference images, enabling consistent SVG-style assets, icons, illustrations, brand visuals, marketing graphics, and design system workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.132per run·~75 / $10
Recraft V4 Style Pro Text-to-Vector generates vector graphics from text prompts using either a reusable Pro style_id or temporary style reference images. Use it to create high-quality, visually consistent vector assets with controllable aspect ratio and style matching.
Pro text-to-vector generation
Generate vector-style graphics directly from natural-language prompts.
Reusable Pro style support
Use a style_id created by the matching Recraft V4 Pro Create Style model to keep a consistent visual style.
Reference-image style input
Provide reference images to create a style for the current request when no style_id is supplied.
Style match control
Choose precise for closer style matching or flexible for broader interpretation.
Multiple aspect ratios
Generate square, portrait, landscape, and vertical vector outputs.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the image or vector graphic to generate. |
| images | No | Style reference images used to create a style for this request when no style_id is supplied. Supports up to 10 image URLs. |
| aspect_ratio | No | Output aspect ratio: 1:1, 4:3, 3:4, 16:9, or 9:16. Default: 1:1. |
| style_id | No | Reusable style ID created by the matching Create Style model. |
| style_match | No | Controls how closely the result follows the supplied style: precise or flexible. Default: precise. |
style_id, or upload reference images to create a temporary style for this request.1:1, 4:3, 3:4, 16:9, or 9:16.precise for closer matching or flexible for broader style interpretation.Pricing starts at $0.132 per request. If style reference images are provided, an additional $0.0055 is added.
| Configuration | Cost |
|---|---|
Text-to-vector with style_id or no reference images | $0.132 |
| Text-to-vector with reference images | $0.1375 |
aspect_ratio, style_id, and style_match do not add separate charges.
style_id to keep a consistent look across generations.style_id when you need consistent output across multiple generations.images when you want to create a style for the current request only.precise when style consistency is more important.flexible when you want more creative variation.16:9 for wide layouts and 9:16 for vertical designs.style_id must be used with the matching model version.style_id only with recraft-v4-style-pro models.style_id only with recraft-v4-style models.images or style_id must be provided. Use style_id for a reusable saved style, or images to create a temporary style for the current request.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4-style-pro/text-to-vector with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Recraft v4 Style Pro Text To Vector below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style_match": "precise"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4-style-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="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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4-style-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style_match": "precise"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}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",
"aspect_ratio": "1:1",
"style_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-style-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 = 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 Style Pro Text To Vector is a Recraft model for image generation, exposed as a REST API on WaveSpeedAI. Recraft V4 Pro Style Text-to-Vector generates styled vector graphics from text prompts using either a reusable style ID or reference images, enabling consistent SVG-style assets, icons, illustrations, brand visuals, marketing graphics, and design system 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.
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-style-pro-text-to-vector.
Recraft v4 Style Pro Text To Vector starts at $0.13 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.
Key inputs: `prompt`, `images`, `aspect_ratio`, `style_id`, `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-style-pro-text-to-vector.
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.
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.