Wan 2.1 Text To Image API Documentation

Wan 2.1 Text To Image API Documentation

Playground

Try it on WaveSpeedAI!

Wan 2.1 Text-to-Image delivers ultra-realistic photographic images by adapting the Wan 2.1 video model for SOTA visual fidelity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.1 is part of the Wan 2.1 foundation model suite, an advanced AI system developed to redefine video and image generation. This model focuses on text-to-image synthesis — transforming detailed written prompts into vivid, high-resolution visuals with cinematic precision.


🌟 Key Features

  • 🎨 SOTA Image Quality Built on Wan 2.1’s next-generation video foundation, this model produces exceptional still-frame quality with realistic lighting, texture, and depth.

  • 🧠 Multilingual Understanding Supports both Chinese and English prompts, ensuring accurate and context-rich image generation across languages.

  • ⚙️ Fine Control with Parameters Adjustable inputs such as strength, width, and height provide creators with direct control over composition and style.

  • 🪄 Powerful Visual Consistency Based on Wan-VAE, enabling coherent detail, color fidelity, and stylistic alignment across resolutions.

  • 💰 Lightweight and Efficient High-quality generation at a base cost of just $0.02 per image, ideal for scalable creative workflows.


⚙️ Parameters

ParameterDescription
prompt*Text description of the image to be generated (supports CN/EN).
image(Optional) Upload a reference image for guided generation.
strengthControls how strongly the image follows the prompt or reference (0–1).
size (width / height)Define custom output resolution; max recommended ratio 2:1.
seedFix for reproducibility or randomize for variation.
output_formatChoose from jpeg, png, or webp.

💡 Example Prompt

> Envision an ethereal and highly decorative portrait of an androgynous Elven Monarch, seated upon a throne carved from living iridescent wood within a moonlit glade. Intricate Art Nouveau details, luminous textures, soft-focus background, cinematic lighting.


💰 Pricing

MetricPrice
Per image generated$0.02 / image

🎯 Use Cases

  • Concept Art & Illustration — Generate fantasy, sci-fi, or cinematic character art.
  • Visual Design & Branding — Create unique imagery for marketing, web, or product visuals.
  • Research & Visualization — Produce clear, detailed concept visuals from descriptive text.
  • Previsualization — Generate cinematic stills for film, animation, or game design workflows.

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",
  "strength": 0.6,
  "size": "1024*1024",
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}"); then
  printf 'Submit failed. %s\n' "${CHECK}" >&2
  exit 1
fi

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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
  # Transient errors (429, 5xx) are retried, honoring Retry-After.
  HTTP_CODE=$(curl --silent --show-error --fail-with-body \
    --connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
    --output "${BODY_FILE}" --write-out '%{http_code}' \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
  case "${HTTP_CODE}" in
    2??) ;;
    000|429|5??)  # dropped connection or temporary error: keep polling
      printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      sleep 10; continue ;;
    *) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      cat "${BODY_FILE}" >&2; exit 1 ;;
  esac
  RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted)
      printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
      printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Retry temporary errors only while polling, never the submit request. Errors, retries and timeouts

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-The image to generate an image from (optional).
strengthnumberNo0.60 ~ 1Strength indicates extent to transform the reference image.
sizestringNo1024*1024256 ~ 1536The size of the generated media in pixels (width*height).
seedintegerNo--The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.

Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.

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.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
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.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
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
© 2026 WaveSpeedAI. All rights reserved.