Alibaba Wan 3.0 Text To Video API Documentation

Alibaba Wan 3.0 Text To Video API Documentation

Playground

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Wan 3.0 Text to Video generates cinematic videos from text prompts, with flexible 2-30 second duration, aspect ratio control, optional audio, and deep-thinking controls for high-quality video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 3.0 Text-to-Video generates coherent cinematic videos from natural-language prompts. It supports flexible duration, multiple aspect ratios, optional audio generation, and deep-thinking mode for more deliberate prompt interpretation.


Parameters

ParameterRequiredDescription
promptYesText prompt describing the desired scene, subject, action, camera movement, lighting, and motion.
resolutionNoOutput resolution: 480p, 720p, or 1080p. Default: 720p.
aspect_ratioNoOutput aspect ratio. Default: 16:9.
durationNoOutput duration in seconds. Range: 2–30. Default: 5.
thinking_modeNoEnable deep-thinking mode for more deliberate prompt interpretation. Default: false.
enable_audioNoInclude audio in the output. Default: true.
seedNoRandom seed from 0 to 2147483647.

How to Use

  1. Write your prompt — Describe the scene, subject, motion, camera movement, lighting, and visual style.
  2. Choose resolution — Use 480p for lower-cost drafts, 720p for balanced output, or 1080p for higher quality.
  3. Set aspect ratio — Select the format that matches your target platform or creative direction.
  4. Set duration — Choose a duration from 2 to 30 seconds.
  5. Configure audio optional — Keep enable_audio enabled when audio is needed.
  6. Enable thinking mode optional — Use thinking_mode when the prompt needs more deliberate interpretation.
  7. Submit — Generate the final text-to-video output.

Pricing

Pricing is based on output resolution and billed duration.

Billed duration is rounded up to the next whole second and clamped to the 2–30s range.

ResolutionPer 5sPer second
480p$0.35$0.07
720p$0.65$0.13
1080p$1.40$0.28

Example Costs

Resolution2s5s10s30s
480p$0.14$0.35$0.70$2.10
720p$0.26$0.65$1.30$3.90
1080p$0.56$1.40$2.80$8.40

Best Use Cases

  • Cinematic storytelling — Generate short cinematic scenes from detailed text prompts.
  • Concept visualization — Turn written ideas into motion previews for creative planning.
  • Social media clips — Create vertical, square, landscape, or widescreen short videos.
  • Marketing and advertising — Generate product scenes, brand clips, and promotional visuals.
  • Prompt iteration — Test different camera movements, lighting styles, and motion directions.

Pro Tips

  • Include subject, action, environment, camera movement, lighting, mood, and visual style in the prompt.
  • Use 480p for quick drafts and 1080p for higher-quality output.
  • Use shorter durations for iteration, then increase duration once the scene direction is confirmed.
  • Enable thinking_mode for complex prompts with multiple visual or motion requirements.
  • Set a fixed seed when you want more reproducible results.

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",
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "duration": 5,
  "thinking_mode": false,
  "enable_audio": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-3.0/text-to-video" \
  -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-The positive prompt for the generation.
resolutionstringNo720p480p, 720p, 1080pThe resolution of the generated video.
aspect_ratiostringNo16:916:9, 9:16, 1:1, 4:3, 3:4The aspect ratio of the generated video.
durationintegerNo52 ~ 30The duration of the generated media in seconds (2-30s).
thinking_modebooleanNofalse-Whether to enable deep-thinking mode for complex prompts and richer scene understanding.
enable_audiobooleanNotrue-Whether to include audio in the generated video.
seedintegerNo-0 ~ 2147483647The random seed to use for the generation. Must be between 0 and 2147483647. If omitted, a random seed will be used.

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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