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Seedance 2.5 Reference to Video Turbo API

bytedance/seedance-2.5/reference-to-video-turbo

Seedance 2.5 Turbo Reference to Video creates cinematic videos with native audio from your own reference images, videos, and audio, keeping characters, products, motion, and sound consistent while a prompt directs the new shot. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Reference to Video
Input

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preview

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preview
Whether to generate native audio synchronized with the output video. Defaults to true.

Idle

$0.2per run·~50 / $10

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ExamplesView all

Use the cartographer from <Image 1> and compass from <Image 2>. Preserve his exact identity, clothing, boots, satchel, and map. Preserve the compass’s brass body, blue enamel, engravings, glass, and leather strap. The opening frame is a clean medium-wide shot of the cartographer standing on the deck of a wooden sailing ship. He holds the compass clearly in one hand. The needle suddenly begins spinning rapidly. He unfolds the nautical chart on a barrel. The compass stops and points not toward the horizon, but directly toward a blank section of the map. A thin line of seawater slowly appears across the paper, drawing a route by itself. The camera starts centered on the man, moves closer to the compass, then tilts down to the map as the route appears. Historical adventure mystery, realistic ship movement, detailed brass and paper textures, cinematic ocean atmosphere.

The woman in @Image 1 picks up the mug from @Image 2, takes a slow sip and smiles at the camera. Soft morning light, shallow depth of field, slow push-in.

Related Models

README

Seedance 2.5 Reference-to-Video Turbo

Seedance 2.5 Turbo Reference-to-Video guides generation with your own reference images, videos, and audio. Keep characters, products, scenes, motion, and soundtrack consistent while a prompt directs the new shot, with native synchronized audio and director-style control over camera, lighting, and pacing. The same reference inputs are also accepted by Seedance 2.5 Turbo Text-to-Video.

Why Choose This?

  • Reference-guided generation
    Use reference images, videos, and audio to steer characters, products, composition, motion, and soundtrack.

  • Consistent subjects
    Keep the same character, product, or scene across shots by attaching it as a reference.

  • Native audio generation
    Generate synchronized audio together with the video in a single workflow.

  • Director-style prompt control
    Control camera movement, lighting, performance, atmosphere, and visual style through prompts.

  • Flexible output settings
    Choose aspect ratio, duration, resolution, and audio generation settings for different creative workflows.

Parameters

ParameterRequiredDescription
promptYesDetailed description of the cinematic scene, action, camera movement, lighting, and mood.
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 4:3, 3:4, 1:1, or 21:9. Default: 16:9.
durationNoVideo length in seconds. Range: 4–30. Default: 5.
resolutionNoOutput resolution: 720p or 1080p. Default: 720p.
generate_audioNoGenerate synchronized audio for the output video. Default: true.
reference_imagesConditionalReference image URLs to guide style, characters, or composition.
reference_videosConditionalReference video URLs (up to 10). Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 30 seconds, and the normalized combined input duration is rounded up to a whole second for billing.
reference_audiosConditionalReference audio URLs. Total reference audio length must not exceed 30 seconds.

How to Use

  1. Write your prompt — Describe the scene, subject, action, camera movement, lighting, mood, and visual style.
  2. Add references optional — Use reference images for style, characters, or composition; reference videos for motion or pacing; and reference audio for soundtrack direction.
  3. Choose aspect ratio — Select the output layout that matches your target format.
  4. Choose resolution — Use 720p for lower-cost generation or 1080p for higher-resolution output.
  5. Set duration — Choose a video length from 4 to 30 seconds.
  6. Configure audio optional — Keep generate_audio enabled when synchronized audio is needed.
  7. Submit — Generate the final video.

Pricing

Pricing is calculated upfront using your selected duration, plus reference-video charges when applicable.

Without reference videos

Output-only pricing:

ResolutionPer second5 seconds10 seconds15 seconds30 seconds
720p$0.20$1.00$2.00$3.00$6.00
1080p$0.22$1.10$2.20$3.30$6.60

With reference videos

Pricing has two parts:

  • Normalized reference-video duration + requested generation duration: $0.11 per second.
  • Output upscale: $0.02 per requested second at 720p or $0.04 per requested second at 1080p.

Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 30 seconds, and the normalized combined input duration is rounded up to a whole second for billing.

Reference inputOutput720p1080p
2s5s$0.87$0.97
5s5s$1.20$1.30
15s5s$2.30$2.40
30s5s$3.95$4.05

Best Use Cases

  • Turbo HD video generation — Generate 720p or 1080p videos from text prompts with faster turnaround.
  • High-volume content production — Create cost-efficient high-resolution videos for large creative pipelines.
  • Social media content — Produce vertical, square, landscape, or ultra-wide videos for different platforms.
  • Ad creatives — Generate cinematic commercial concepts, campaign videos, and product scenes.
  • Reference-guided generation — Use images, videos, or audio to guide style, motion, characters, or soundtrack direction.
  • Creative prototyping — Quickly test scene ideas, camera movement, lighting, and mood before final production.

Pro Tips

  • Write prompts like a film director, including subject, action, camera movement, lighting, mood, and atmosphere.
  • Use 720p for lower-cost testing and 1080p for higher-resolution output.
  • Start with shorter durations for quick iteration, then increase duration once the visual direction is confirmed.
  • Use reference images when character, product, or style consistency matters.
  • Use reference videos when motion, pacing, or camera movement matters.
  • Use reference audio when soundtrack, ambience, or voice style matters.
  • Use asset tags such as @Image 1, @Image 2, and @Audio 1 to reference uploaded assets in the prompt.
  • Keep reference instructions clear so the model knows which asset controls style, character, motion, or audio direction.

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 Reference To Video Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/reference-to-video-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 Reference To Video 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",
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "duration": 5,
    "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/reference-to-video-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/reference-to-video-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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "resolution": "720p",
        "duration": 5,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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",
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "duration": 5,
    "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/reference-to-video-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 Reference To Video Turbo API — Frequently asked questions

What is the Seedance 2.5 Reference To Video Turbo API?

Seedance 2.5 Reference To Video Turbo is a ByteDance model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.5 Turbo Reference to Video creates cinematic videos with native audio from your own reference images, videos, and audio, keeping characters, products, motion, and sound consistent while a prompt directs the new shot. 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 Reference To Video 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/bytedance-seedance-2.5-reference-to-video-turbo.

How much does Seedance 2.5 Reference To Video Turbo cost per run or per second?

Seedance 2.5 Reference To Video Turbo starts at $0.2 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 Reference To Video Turbo accept?

Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `reference_images`, `generate_audio`. 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-2.5-reference-to-video-turbo.

How do I get started with the Seedance 2.5 Reference To Video 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 Reference To Video 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/reference-to-video-turbo for AI agents and LLMs