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Seedance 2.0 (Text-to-Video) generates Hollywood-grade cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability. Built on Seed's unified multimodal architecture, it leads on instruction adherence, motion quality, and visual aesthetics.

text-to-video
Input

Idle

$0.6per run·~16 / $10

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ExamplesView all

A realistic cinematic close-up shot of a beautiful young blonde European woman blowing a bubble gum bubble. She has long blonde hair, soft natural makeup, fair skin, and a stylish casual outfit without a hat. She faces the camera in a cool and confident way, slowly chewing gum and gently blowing a large bubble. The bubble grows naturally in front of her lips, then slightly pops with a playful smile and relaxed expression. Natural facial movements, subtle eye movement, realistic hair motion, soft daylight, shallow depth of field, fashion portrait style, ultra realistic skin texture, cinematic camera movement.

Authentic cinematic summer lifestyle video of a stylish young European blonde woman standing beside an open car door on a sunny day. She wears a fitted opaque short-sleeve ribbed cotton t-shirt in a soft pastel color, with a structured fabric texture, not transparent, not see-through, naturally hugging her body while keeping a casual fashionable look. Paired with relaxed blue jeans. She casually drinks from a simple unbranded clear beverage bottle with no logo, no text, no existing brand design. A gentle summer breeze flows through her long blonde hair, creating natural soft movement. Loose strands of hair sway around her face in the sunlight. She slightly lowers the bottle after drinking, showing a relaxed confident expression. Camera captures a realistic handheld close-up lifestyle shot, focusing on her face, hair movement, and natural body language. Bright sunny outdoor environment, warm daylight, realistic skin texture, cinematic depth of field, authentic summer fashion campaign style. Negative Prompt: transparent shirt, see-through clothing, visible underwear, overly thin fabric, white sheer top, brand logo, product label, text, existing beverage brand, unnatural pose, plastic skin, fake hair movement, CGI look.

Related Models

README

Seedance 2.0 Text-to-Video

Seedance 2.0 is Seed's latest video generation model, built on a unified multimodal architecture that accepts text, image, audio, and video inputs. The Text-to-Video mode generates production-grade cinematic videos from text prompts alone — with native audio, director-level control, and exceptional motion stability.

Key Features

  • Unified multimodal architecture A single model that handles text, image, audio, and video inputs for comprehensive creative flexibility.

  • Native audio-visual synchronization Generates video with synchronized audio in a single pass — no separate audio generation needed.

  • Director-level control Granular control over camera movement, lighting, shadows, and character performance through natural language prompts.

  • Production-grade cinematic quality Hollywood-grade visual fidelity with dramatic lighting, professional color grading, and smooth natural motion.

  • Exceptional motion stability Industry-leading motion coherence with stable subjects, consistent physics, and fluid transitions.

  • Strong instruction adherence Accurately follows detailed scene descriptions, shot compositions, and creative direction.

Parameters

ParameterRequiredDescription
promptYesDetailed description of the cinematic scene
aspect_ratioNoOutput format: 16:9 (default), 9:16, 4:3, 3:4, 1:1, 21:9
durationNoVideo length in seconds: 4-15 (default: 5)
resolutionNoOutput resolution: 480p, 720p (default), 1080p, or 4k
enable_web_searchNoEnable web search for real-time information (default: false)
generate_audioNoGenerate synchronized audio for the output video (default: true)
reference_imagesNoReference image URLs to guide style, characters, or composition
reference_videosNoReference video URLs (total length must not exceed 15 seconds)
reference_audiosNoReference audio URLs (total length must not exceed 15 seconds)

How to Use

  1. Write your prompt — describe the scene with cinematic detail: lighting, mood, camera movement, action, and style.
  2. Select aspect ratio — 16:9 for widescreen, 9:16 for vertical, 4:3 or 3:4 for classic formats.
  3. Set duration — choose any duration from 4 to 15 seconds.
  4. Optionally add references — provide reference images, videos, or audios for style guidance.
  5. Run — submit and download your cinematic video with synchronized audio.

Pricing

Without Reference Videos

Billed per second of output duration, anchored at $0.60 per 5 seconds at 480p.

ResolutionDurationCost
480p5 s$0.60
480p10 s$1.20
480p15 s$1.80
720p5 s$1.20
720p10 s$2.40
720p15 s$3.60
1080p5 s$3.00
4k5 s$6.00
1080p10 s$6.00
4k10 s$12.00
1080p15 s$9.00
4k15 s$18.00

With Reference Videos

When reference_videos are provided, billing follows the same scheme as Seedance 2.0 Video-Edit: billed per second across input duration + output duration, where input duration is the total length of the supplied reference videos clamped to the 2-15 s range.

ResolutionPer second
480p$0.075
720p$0.15
1080p$0.375
4k$0.750

Examples (reference videos totaling 5 s, output 5 s = 10 billed seconds):

ResolutionCost
480p$0.75
720p$1.50
1080p$3.75
4k$7.50

Billing Rules

  • Without reference videos: $0.60 per 5 seconds at 480p, scaled by resolution; prorated per second.
  • With reference videos: per-second billing matching Seedance 2.0 Video-Edit, using the total reference-video duration as input (clamped 2-15 s) plus the output duration.
  • 720p: 2x the 480p price.
  • 1080p: 5x the 480p price (2.5x the 720p price).
  • 4k: 10x the 480p price (2x the 1080p price).
  • Duration range: 4-15 seconds (continuous).

Best Use Cases

  • Film & Production — Generate cinematic footage for professional video projects.
  • Commercials & Ads — Create high-end promotional content with Hollywood aesthetics.
  • Music Videos — Produce visually stunning sequences with native audio sync.
  • Social Media Premium — Stand out with film-quality short-form content.
  • Concept Visualization — Pitch film and TV concepts with production-quality previews.

Pro Tips

  • Write prompts like a film director — include lighting (e.g., "dramatic rim lighting"), camera angles, and mood.
  • Use 16:9 for cinematic widescreen; 9:16 for premium vertical content.
  • Include specific visual details for best results (e.g., "golden hour sunlight casting long shadows").
  • Describe character expressions and actions for more engaging scenes.
  • Start with a short duration (4-5s) to iterate on the look, then extend up to 15s.

Notes

  • Native audio generation is included — videos come with synchronized sound.
  • Duration range: 4-15 seconds (continuous).
  • Built on the same architecture as Seedance 2.0 Image-to-Video.

Related Models

Notice: Use @image1, @image2, @audio1, etc. to reference your uploaded assets. The references will stay as plain text—don't worry.

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 Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0/text-to-video 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 Text To Video 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/text-to-video" \
  -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/text-to-video";
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/text-to-video", 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 Text To Video API — Frequently asked questions

What is the Seedance 2.0 Text To Video API?

Seedance 2.0 Text To Video is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 (Text-to-Video) generates Hollywood-grade cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability. Built on Seed's unified multimodal architecture, it leads on instruction adherence, motion quality, and visual aesthetics. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.0 Text To Video 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-text-to-video.

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

Seedance 2.0 Text To Video starts at $0.60 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 Text To Video 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-text-to-video.

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

Median end-to-end generation time on WaveSpeedAI is around 216 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 Text To Video 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 Text to Video | Powerful Text-to-Video API on WaveSpeedAI