Recraft AI Recraft V4 Text To Image API Documentation

Recraft AI Recraft V4 Text To Image API Documentation

Playground

Try it 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.

Features

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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "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 "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text description of the image to generate (max 10,000 characters).
sizestringNo1024*1024-The size of the generated media in pixels (width*height).

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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