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Recraft V4 generates high-quality images from text prompts with color palette control. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-image
อินพุต

ว่าง

A young woman sitting in a Parisian café at golden hour, soft bokeh background, shot on Canon EOS R5, 85mm f/1.4, natural lighting, film grain

$0.04ต่อครั้ง·~25 / $1

ต่อไป:

ตัวอย่างดูทั้งหมด

A young woman sitting in a Parisian café at golden hour, soft bokeh background, shot on Canon EOS R5, 85mm f/1.4, natural lighting, film grain

A young woman sitting in a Parisian café at golden hour, soft bokeh background, shot on Canon EOS R5, 85mm f/1.4, natural lighting, film grain

A frosted glass perfume bottle on a slab of raw marble, surrounded by scattered white peonies and morning dew drops, soft diffused studio lighting from above, product photography, clean white background, 4K

A frosted glass perfume bottle on a slab of raw marble, surrounded by scattered white peonies and morning dew drops, soft diffused studio lighting from above, product photography, clean white background, 4K

A samurai standing in a field of luminous blue flowers under a crescent moon, his armor covered in frost, a spectral white fox sitting beside him, Japanese ink wash meets digital painting

A samurai standing in a field of luminous blue flowers under a crescent moon, his armor covered in frost, a spectral white fox sitting beside him, Japanese ink wash meets digital painting

โมเดลที่เกี่ยวข้อง

README

Recraft V4 Text-to-Image

Recraft V4 is a state-of-the-art text-to-image model that generates stunning, high-quality images from text descriptions. With flexible aspect ratios and a built-in Prompt Enhancer, it delivers professional-grade visuals for any creative project.

Why Choose This?

  • V4 quality Latest Recraft architecture delivering superior visual fidelity and prompt adherence.

  • Flexible aspect ratios Multiple options including 1:1, 16:9, 9:16, 4:3, and 3:4 to fit any platform or use case.

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

  • Affordable pricing Just $0.04 per image for professional-quality output.

Parameters

ParameterRequiredDescription
promptYesText description of the desired image
image_sizeNoAspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4

How to Use

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

Pricing

OutputCost
Per image$0.04

Best Use Cases

  • Social Media Content — Create eye-catching visuals for Instagram, TikTok, and more.
  • Marketing & Ads — Generate professional images for campaigns and promotions.
  • Concept Art — Visualize ideas and creative concepts quickly.
  • E-commerce — Produce product imagery and lifestyle shots.
  • Personal Projects — Bring your creative visions to life.

Pro Tips

  • Be specific in your prompts — include camera settings, lighting, and style references for best results.
  • Use cinematic language like "shot on Canon EOS R5, 85mm f/1.4, natural lighting, film grain" for photorealistic output.
  • Try the Prompt Enhancer to automatically improve your descriptions.
  • Match aspect ratio to your target platform: 9:16 for Stories/Reels, 16:9 for YouTube thumbnails, 1:1 for feeds.

Notes

  • Prompt is the only required field.
  • Ensure your prompts comply with content guidelines.

Related Models

หมายเหตุ:เว็บไซต์นี้ใช้โมเดล AI ที่จัดหาโดยบุคคลที่สาม ราคาในเอกสารใช้เพื่ออ้างอิงและอาจไม่เป็นปัจจุบัน ปุ่ม Generate แสดงราคาโดยประมาณ โดยยึดค่าบริการสุดท้ายของงานเป็นหลัก

Recraft v4 Text To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4/text-to-image 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 Text To Image 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/text-to-image" \
  -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/text-to-image";
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/text-to-image", 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 Text To Image API — Frequently asked questions

What is the Recraft v4 Text To Image API?

Recraft v4 Text To Image is a Recraft model for image generation, exposed as a REST API on WaveSpeedAI. Recraft V4 generates high-quality images from text prompts with color palette control. 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 Text To Image 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-text-to-image.

How much does Recraft v4 Text To Image cost per run?

Recraft v4 Text To Image starts at $0.040 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 Text To Image 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-text-to-image.

How long does Recraft v4 Text To Image take to generate?

Median end-to-end generation time on WaveSpeedAI is around 15 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 Text To Image 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 Text to Image | High-Quality Text-to-Image API on WaveSpeedAI