Bytedance Seedance V1 Lite T2V 1080p API Documentation

Bytedance Seedance V1 Lite T2V 1080p API Documentation

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Seedance v1 Lite is a Text-to-Video model for coherent multi-shot 1080p videos with smooth, stable motion and faithful prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Create stunning 1080p Full HD videos from text with Seedance V1 Lite. This powerful text-to-video model excels at cinematic storytelling, dynamic camera work, and complex scene transitions — perfect for professional video content from pure imagination.

Why It Looks Great

  • 1080p Full HD: Professional-grade resolution for high-quality output.
  • Flexible duration: Generate 2 to 12 seconds of video.
  • Cinematic storytelling: Excels at multi-shot sequences and scene transitions.
  • Dynamic camera work: Supports POV shots, close-ups, and camera movements.
  • Text rendering: Can incorporate on-screen text and graphics.
  • Prompt Enhancer: Built-in tool to refine your descriptions automatically.

Parameters

ParameterRequiredDescription
promptYesText description of the scene, action, and camera work.
aspect_ratioNoOutput format: 16:9, 9:16, 1:1, etc. Default: 16:9.
durationNoVideo length: 2-12 seconds. Default: 5.

How to Use

  1. Write your prompt — describe scenes, camera movements, and transitions in detail.
  2. Use Prompt Enhancer (optional) — click to automatically enrich your description.
  3. Set aspect ratio — choose the format that fits your needs.
  4. Set duration — select 2-12 seconds based on your scene complexity.
  5. Run — click the button to generate.
  6. Download — preview and save your video.

Pricing

Per 5-second billing based on duration.

DurationCalculationCost
2 seconds2 ÷ 5 × $0.45$0.18
5 seconds5 ÷ 5 × $0.45$0.45
10 seconds10 ÷ 5 × $0.45$0.90
12 seconds12 ÷ 5 × $0.45$1.08

Best Use Cases

  • Cinematic Storytelling — Create multi-shot sequences with scene transitions.
  • Sci-Fi & Futuristic Content — Generate robots, digital overlays, and tech visuals.
  • Music Videos — Produce visually complex sequences for audio content.
  • Marketing & Ads — Create professional 1080p video for campaigns.
  • Concept Visualization — Bring complex storyboards to life.

Example Prompts

  • “The scene begins with a robot’s footsteps over rubble. The camera moves to its head — a close-up of scanning optical lenses. Switch to its POV: a digital overlay scanning the city’s outline. Final frame: graffiti on a wall reading ‘HUMANITY?’ freezes in view.”
  • “Drone shot ascending over a futuristic city at night, neon lights reflecting on wet streets, then diving between skyscrapers”
  • “A hand opens an ancient book, pages flip magically, golden light emerges, camera pushes into the glowing text”
  • “Time-lapse of flowers blooming in a garden, morning dew evaporating, butterflies arriving, soft golden hour light”
  • “First-person view walking through a haunted mansion, flickering candles, shadows moving, door creaking open ahead”

Pro Tips for Best Results

  • Seedance excels at multi-shot storytelling — describe scene transitions explicitly.
  • Use cinematic language: “camera moves to”, “switch to POV”, “final frame”.
  • Include specific visual details: “scanning optical lenses”, “digital overlay”.
  • Longer durations (8-12s) work best for complex multi-scene sequences.
  • Describe text or graphics you want on screen in quotes.
  • 16:9 aspect ratio is ideal for cinematic content; 9:16 for social media.

Notes

  • Duration can be precisely set from 2 to 12 seconds.
  • 1080p resolution provides professional broadcast-quality output.
  • Complex multi-shot prompts work best with longer durations.
  • Processing time scales with duration and scene complexity.

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",
  "aspect_ratio": "16:9",
  "duration": 5,
  "camera_fixed": false,
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-lite-t2v-1080p" \
  -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.max length 2000
aspect_ratiostringNo16:921:9, 16:9, 4:3, 1:1, 3:4, 9:16The aspect ratio of the generated media.
durationintegerNo52, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12The duration of the generated media in seconds.
camera_fixedbooleanNofalse-Whether to fix the camera position.
seedintegerNo-1-The random seed to use for the generation. -1 means 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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