Bytedance Seedance 2.5 Flash Video Edit Turbo API Documentation

Bytedance Seedance 2.5 Flash Video Edit Turbo API Documentation

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Seedance 2.5 Flash Video Edit Turbo edits a source video using text instructions and optional image and audio references, with 720p or 1080p output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedance 2.5 Flash Video Edit Turbo edits an input video from a natural-language prompt. Use the source video and your prompt to guide changes to the setting, weather, style or subjects. Optional reference images and audio provide additional guidance. Choose 720p or 1080p output and whether to generate audio.

> Turbo: this tier generates at 480p and upscales the result to your chosen resolution, which makes it faster and cheaper than the standard tier. Use the standard product for native quality, or for 4k.


Parameters

ParameterRequiredDescription
videoYesURL of the video to edit. Only the first 30 seconds are used; sources shorter than 4 seconds are padded to 4 seconds.
promptYesDescribe the edit. Refer to reference media as @Image 1, @Audio 1 in upload order.
reference_imagesNoUp to 10 reference image URLs for a subject, object or style to bring into the edit.
reference_audiosNoUp to 5 reference audio URLs.
resolutionNo720p or 1080p. The video is generated at 480p and upscaled. Default: 720p.
generate_audioNoGenerate synchronized audio. Default: true. Set to false to retain the source audio.

Pricing

ResolutionPer second of source video
720p$0.17
1080p$0.19

Example: a 5 second source costs $0.85 at 720p or $0.95 at 1080p.


Pro Tips

  • Say what should change and what should stay, for example: keep the person and motion, change the street to a snowy night.
  • Bind reference media explicitly in the prompt, for example @Image 1.
  • Start with a short clip while testing a prompt.

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",
  "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
  "resolution": "720p",
  "generate_audio": true
}
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/bytedance/seedance-2.5-flash/video-edit-turbo" \
  -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-Describe the edit you want applied to the input video.
videostringYes-URL of the input video to edit. Videos longer than 30s are trimmed to 30s; videos shorter than 4s are padded to 4s.
reference_imagesarray<string>No-0 ~ 10 itemsOptional reference image URLs to guide the edit (subject identity, style, etc.).
reference_audiosarray<string>No-0 ~ 5 itemsOptional reference audio URLs to guide audio generation.
resolutionstringNo720p720p, 1080pThe output video resolution. The video is generated at 480p and upscaled.
generate_audiobooleanNotrue-Whether to generate native audio for the edited output. Defaults to true. When set to false, the input video's audio track is preserved on the output instead.

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
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