Seedream 5.0 Pro est en ligne | Essayez dans le Générateur d'images →

Seedance 2.0 Fast Video Edit Turbo

bytedance /

Seedance 2.0 Fast (Video-Edit Turbo) is the fastest, cheapest turbo tier for editing an input video from a natural-language prompt — high-resolution output with optimized cost and speed. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.

video-to-video
Entrée

En attente

$0.85par exécution·~11 / $10

Suivant :

ExemplesTout voir

Replace the pink dress worn by the woman on the right in the video with the outfit from the reference image.

Modèles associés

README

Seedance 2.0 Fast Video-Edit Turbo

Seedance 2.0 Fast Video-Edit Turbo is the fastest, cheapest turbo tier for editing an input video from a natural-language prompt — high-resolution output with optimized cost and speed.

Key Features

  • Turbo tier, fast variant — The cheapest, fastest path to high-resolution video editing.
  • Conversational video editing — Describe the change in plain language; the model rewrites the scene while keeping the original motion intact.
  • Subject and motion preservation — Faces, objects, and camera movement from the input video stay consistent through the edit.
  • Multi-reference support — Optionally guide style, character identity, or audio with reference images and audio clips.
  • Native audio synchronization — Generates synchronized audio in a single pass.

Parameters

ParameterRequiredDescription
promptYesDescribe the edit. The prefix Edit the input video. is added automatically.
videoYesInput video URL. Videos longer than 15 s are trimmed to 15 s.
reference_imagesNoOptional reference images for style or character guidance.
reference_audiosNoOptional reference audio for audio guidance.
durationNoOutput length in seconds (4-15). Auto-detected from the input video if not specified.
aspect_ratioNo16:9, 9:16, 4:3, 3:4, 1:1, 21:9. Adapts to the input if not specified.
resolutionNo720p (default) or 1080p.
enable_web_searchNoEnable web search for real-time context.

How to Use

  1. Upload the input video. Anything longer than 15 s is trimmed to the first 15 s automatically.
  2. Write the edit prompt. Describe the change you want — the prefix Edit the input video. is added for you.
  3. (Optional) Add references. Reference images can constrain style or identity; reference audio can constrain the soundtrack.
  4. Pick a turbo resolution. 720p or 1080p.
  5. Run. Receive the edited video at the requested resolution with synchronized audio.

Pricing

Billed per second across input duration + output duration. Input duration is clamped to the 2-15 s range (sources shorter than 2 s are padded with the last frame).

ResolutionPer second
720p$0.085
1080p$0.095

Examples (input 5 s, output 5 s = 10 billed seconds):

ResolutionCost
720p$0.85
1080p$0.95

Examples (input 12 s, output 12 s = 24 billed seconds):

ResolutionCost
720p$2.04
1080p$2.28

Notes

  • Inputs longer than 15 s are trimmed to 15 s and inputs shorter than 2 s are padded with the last frame to 2 s before editing — billing reflects the conformed length.
  • Auto-detected duration matches the input length (rounded up), clamped to the 4-15 s range.
  • Native audio generation is included.

Related Models

Remarque :Ce site utilise des modèles d'IA fournis par des tiers.

Seedance 2.0 Fast Video Edit Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/video-edit-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Fast Video Edit Turbo below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "enable_web_search": false,
    "generate_audio": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/video-edit-turbo" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/video-edit-turbo";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "aspect_ratio": "16:9",
        "resolution": "720p",
        "enable_web_search": false,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "enable_web_search": False,
    "generate_audio": True
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/video-edit-turbo", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Seedance 2.0 Fast Video Edit Turbo API — Frequently asked questions

What is the Seedance 2.0 Fast Video Edit Turbo API?

Seedance 2.0 Fast Video Edit Turbo is a ByteDance model for video editing, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Fast (Video-Edit Turbo) is the fastest, cheapest turbo tier for editing an input video from a natural-language prompt — high-resolution output with optimized cost and speed. Ready-to-use REST API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.0 Fast Video Edit Turbo API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-2.0-fast-video-edit-turbo.

How much does Seedance 2.0 Fast Video Edit Turbo cost per run?

Seedance 2.0 Fast Video Edit Turbo starts at $0.85 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Seedance 2.0 Fast Video Edit Turbo accept?

Key inputs: `prompt`, `video`, `aspect_ratio`, `resolution`, `reference_images`, `enable_web_search`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-2.0-fast-video-edit-turbo.

How long does Seedance 2.0 Fast Video Edit Turbo take to generate?

Median end-to-end generation time on WaveSpeedAI is around 264 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Seedance 2.0 Fast Video Edit Turbo outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ByteDance). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Seedance 2.0 Fast Video Edit Turbo | AI Video Editing API | WaveSpeedAI