Seedance 2.5 Flash Video Edit Turbo API

bytedance/seedance-2.5-flash/video-edit-turbo

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.

Video Editing
Input

Drag & drop or click to upload

10% OFF

Idle

$0.153per run·~65 / $10

ExamplesView all

Change the scene to a warm sunset with an orange and pink sky, keep the camera movement and the valley unchanged

Related Models

README

Seedance 2.5 Flash Video Edit Turbo

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.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Seedance 2.5 Flash Video Edit Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5-flash/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 2.5 Flash 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",
    "resolution": "720p",
    "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-2.5-flash/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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 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' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5-flash/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "resolution": "720p",
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  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",
    "resolution": "720p",
    "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-2.5-flash/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 = 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", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Seedance 2.5 Flash Video Edit Turbo API — Frequently asked questions

What is the Seedance 2.5 Flash Video Edit Turbo API?

Seedance 2.5 Flash Video Edit Turbo is a ByteDance model for video editing, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.5 Flash 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 Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/seedance-2.5-flash/video-edit-turbo.

How much does Seedance 2.5 Flash Video Edit Turbo cost per run or per second?

Seedance 2.5 Flash Video Edit Turbo starts at $0.153 per run or per second. 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 2.5 Flash Video Edit Turbo accept?

Key inputs: `prompt`, `video`, `resolution`, `reference_images`, `generate_audio`, `reference_audios`. 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/seedance-2.5-flash/video-edit-turbo.

How do I get started with the Seedance 2.5 Flash Video Edit Turbo API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Seedance 2.5 Flash Video Edit Turbo outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ByteDance). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — bytedance/seedance-2.5-flash/video-edit-turbo for AI agents and LLMs