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Seedance 2.0 Mini Reference to Video Turbo API

bytedance/seedance-2.0-mini/reference-to-video-turbo

Seedance 2.0 Mini 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

Drag & drop or click to upload

preview

Drag & drop or click to upload

preview
Enable web search for real-time information.
Whether to generate native audio synchronized with the output video. Defaults to true.

Idle

$0.08per run·~12 / $1

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ExamplesView all

Use the violinist from <Image 1> and the porcelain mask from <Image 2>. Preserve her exact face, hairstyle, dress, violin, and jewelry. Preserve the mask’s white porcelain surface, blue floral patterns, gold edging, crack, and ribbons. The opening frame is a clean medium-wide shot of the violinist standing alone in an empty rehearsal room. The porcelain mask rests clearly on a chair beside her. She begins playing one slow note. The mask slowly turns on the chair until it faces her. She stops playing. After a brief silence, the violin produces one final note by itself. The camera begins in a stable frontal composition, slowly dollies closer during the performance, then shifts focus from the woman to the mask for the reveal. Elegant psychological mystery, cinematic concert lighting, restrained acting, realistic instrument detail, slow controlled suspense.

The woman in @Image 1 turns the mug from @Image 2 slowly in her hands, then looks up and laughs softly. Natural light, shallow depth of field.

Related Models

README

ByteDance Seedance 2.0 Mini Reference-to-Video Turbo

Seedance 2.0 Mini 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 2.0 Mini 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
promptYesDescribe the scene, action, camera movement, and mood for the video.
reference_imagesConditionalReference image URLs to guide visual style, characters, or scene composition. Supports up to 9 images.
reference_videosConditionalReference video URLs (up to 3). Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 15 seconds, and the normalized combined input duration is rounded up to a whole second for billing.
reference_audiosConditionalReference audio URLs. Supports up to 3 audio files, with total reference audio length no more than 15 seconds.
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 4:3, 3:4, 1:1, or 21:9. Default: 16:9.
resolutionNoOutput video resolution: 720p or 1080p. Default: 720p.
durationNoDuration of the generated video in seconds. Range: 4–15. Default: 5.
enable_web_searchNoEnable web search for real-time information. Default: false.
generate_audioNoWhether to generate native audio synchronized with the output video. Default: true.

How to Use

  1. Write your prompt — Describe the scene, subject, action, camera movement, lighting, and mood.
  2. Add references optional — Upload reference images, videos, or audio when you want stronger guidance.
  3. Choose aspect ratio — Select the output format, such as 16:9, 9:16, or 1:1.
  4. Choose resolution — Select 720p or 1080p.
  5. Set duration — Choose a duration between 4 and 15 seconds.
  6. Configure audio optional — Keep generate_audio enabled for synchronized native audio, or disable it if audio is not 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 seconds
720p$0.08$0.40$0.80$1.20
1080p$0.10$0.50$1.00$1.50

With reference videos

Pricing has two parts:

  • Normalized reference-video duration + requested generation duration: $0.0375 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 15 seconds, and the normalized combined input duration is rounded up to a whole second for billing.

Reference inputOutput720p1080p
2s5s$0.3625$0.4625
5s5s$0.475$0.575
15s5s$0.85$0.95

Best Use Cases

  • Turbo text-to-video generation — Create short videos directly from natural-language prompts.
  • Reference-to-video workflows — Use reference images, videos, or audio to guide the generated video.
  • Cinematic short clips — Generate videos with camera movement, atmosphere, and synchronized audio.
  • Character and style consistency — Use reference images to guide characters, visual style, or scene composition.
  • Motion and audio guidance — Use reference videos or audio to guide motion direction or sound style.
  • Social media content — Generate vertical, square, landscape, or ultra-wide video formats.
  • Creative prototyping — Test scene ideas, visual concepts, and motion directions quickly.

Pro Tips

  • Be specific about scene, action, camera movement, lighting, and mood.
  • Use reference images when character, style, or composition consistency matters.
  • Use reference videos when motion direction is important.
  • Use reference audio when the generated video should follow a specific audio style or sound direction.
  • Keep generate_audio enabled when you want the output video to include synchronized native audio.
  • Choose an aspect ratio based on the final format, such as 9:16 for vertical content or 16:9 for widescreen video.

Related Models

Notice: Use @Image 1, @Image 2, @Audio 1, etc. to reference your uploaded assets. Number each type separately, in upload order.

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 2.0 Mini Reference To Video Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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 2.0 Mini 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,
    "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-mini/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-2.0-mini/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "resolution": "720p",
        "duration": 5,
        "enable_web_search": false,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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,
    "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-mini/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 2.0 Mini Reference To Video Turbo API — Frequently asked questions

What is the Seedance 2.0 Mini Reference To Video Turbo API?

Seedance 2.0 Mini Reference To Video Turbo is a ByteDance model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini 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 2.0 Mini 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-2.0-mini-reference-to-video-turbo.

How much does Seedance 2.0 Mini Reference To Video Turbo cost per run or per second?

Seedance 2.0 Mini Reference To Video Turbo starts at $0.08 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 2.0 Mini Reference To Video Turbo accept?

Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `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-mini-reference-to-video-turbo.

How do I get started with the Seedance 2.0 Mini 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 2.0 Mini 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-2.0-mini/reference-to-video-turbo for AI agents and LLMs