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Seedance 2.0 Mini Text to Video Turbo API

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Seedance 2.0 Mini Text to Video Turbo is ByteDance's faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts with AI camera control, consistent characters, 720P / 1080P output, 5-12s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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

En attente

$0.7par exécution·~14 / $10

Suivant :

ExemplesTout voir

A lone foreign woman standing beside an old car at a deserted gas station in the middle of the night, flickering sign, empty highway, distant headlights approaching, tense cinematic thriller mood, realistic scene

Modèles associés

README

ByteDance Seedance 2.0 Mini Text-to-Video Turbo

ByteDance Seedance 2.0 Mini Text-to-Video Turbo generates videos from natural-language prompts with optional reference images, videos, and audio. Describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.

Why Choose This?

  • Turbo text-to-video generation
    Generate videos directly from text prompts with a faster turbo workflow.

  • Reference-guided generation
    Add reference images, videos, or audio to guide visual style, characters, scene composition, motion, or audio direction.

  • Native audio generation
    Generate synchronized audio together with the output video using generate_audio.

  • Flexible aspect ratios
    Supports 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9 for different video layouts.

  • Resolution options
    Generate videos in 720p or 1080p.

  • Web search option
    Enable enable_web_search when the prompt needs real-time information.

Parameters

ParameterRequiredDescription
promptYesDescribe the scene, action, camera movement, and mood for the video.
reference_imagesNoReference image URLs to guide visual style, characters, or scene composition. Supports up to 9 images.
reference_videosNoReference video URLs. Supports up to 3 videos, with total reference video length no more than 15 seconds.
reference_audiosNoReference 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.

Example Prompt

A cinematic night market scene, warm lantern light, people walking through a narrow street, soft camera tracking movement, steam rising from food stalls, realistic atmosphere, gentle ambient motion, rich colors, detailed urban background.

Pricing

Per 5 Seconds

ResolutionWithout Reference VideosWith Reference Videos
720p$0.35$0.65
1080p$0.375$0.675

Per Second

ResolutionWithout Reference VideosWith Reference Videos
720p$0.07$0.13
1080p$0.075$0.135

Example Costs

ResolutionReference Videos4s5s10s15s
720pNo$0.28$0.35$0.70$1.05
1080pNo$0.30$0.375$0.75$1.125
720pYes$0.52$0.65$1.30$1.95
1080pYes$0.54$0.675$1.35$2.025

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

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

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

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

Seedance 2.0 Mini Text To Video Turbo is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini Text to Video Turbo is ByteDance's faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts with AI camera control, consistent characters, 720P / 1080P output, 5-12s duration, and flexible aspect ratios. 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 Text 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 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-mini-text-to-video-turbo.

How much does Seedance 2.0 Mini Text To Video Turbo cost per run?

Seedance 2.0 Mini Text To Video Turbo starts at $0.70 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 Mini Text 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-text-to-video-turbo.

How long does Seedance 2.0 Mini Text To Video Turbo take to generate?

Average end-to-end generation time on WaveSpeedAI is around 278 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Seedance 2.0 Mini Text To Video 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 Mini Text to Video Turbo API | WaveSpeedAI