Bytedance Seedance 2.0 Text To Video API Documentation

Bytedance Seedance 2.0 Text To Video API Documentation

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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.

Features

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 (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_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.

Writing Effective Prompts

Most weak results come from thin prompts. Seedance reads a prompt like a shot list — the more you direct it, the more it delivers. Structure your prompt in three layers.

1. One-sentence summary

Open with a single line that fixes the essentials:

> subject + setting + action + style + camera

A lone astronaut walks across a red desert at dusk, cinematic sci-fi, slow low-angle tracking shot.

2. Shot-by-shot timeline

For anything with a beginning, middle, and end, break the duration into timed segments (1-second granularity). Keep the timeline continuous — no gaps.

> 0-3s: The astronaut crests a dune, silhouetted against the setting sun. Slow push-in. > 3-7s: They stop, turn to face the camera, and raise a hand to shield their eyes. Wind lifts red dust across the frame. > 7-10s: Wide pull-back reveals a half-buried spaceship behind them. Warm rim light, long shadows.

Give each range enough to do but not too much — cramming a dozen actions into three seconds causes cuts or dropped beats.

3. Consistency notes

End with anything that should hold across the whole clip: camera style, lighting, color palette, atmosphere, audio.

Handheld feel throughout, shallow depth of field, warm golden-hour palette. Ambient wind and footsteps only — no music.

Camera language

Write these directly; the model understands them:

  • Shot size — extreme wide, wide, medium, medium close-up, close-up
  • Movement — push in, pull out, pan, track, follow, orbit, tilt up, handheld shake
  • Angle — low angle, overhead, eye-level, first-person
  • Techniques — one-shot / long take, dolly zoom, bullet time, speed ramp

For a niche term, add a plain-language gloss: “rack focus: the sharp foreground softens as the background comes into focus.”

Referencing uploaded assets

When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @image1, @video1, @audio1 — and say what it’s for. Don’t rely on labels drawn inside the image itself.

  • “The knight in @image1 walks through the castle in @image2.”
  • “Refer to @video1 for the camera movement only; keep its shot order.”
  • “@image1 and @image2 are Character 1, voiced by @audio1.”

When a reference is already accurate, just point to it — no need to re-describe it in detail.

Negative control

Positive descriptions work best, but you can suppress subtitles and audio:

  • “No subtitles.”
  • “No BGM — ambient and action sounds only.”
  • “No audio.”

Weak vs. strong

prompt
weaka cat playing
strongA ginger cat pounces on a ball of yarn on a sunlit wooden floor. 0-2s: it crouches, tail flicking, eyes locked on the yarn. 2-5s: it springs forward and bats the yarn across the floor, then chases it out of frame. Low eye-level shot, slight handheld follow, warm afternoon light, shallow depth of field. Playful mood, soft ambient room tone, no music.

Pricing

Without reference videos

Output-only pricing:

ResolutionPer second5 seconds10 seconds15 seconds
480p$0.12$0.60$1.20$1.80
720p$0.24$1.20$2.40$3.60
1080p$0.60$3.00$6.00$9.00
4k$1.20$6.00$12.00$18.00

Prices scale linearly with output duration from 4 to 15 seconds.

With reference videos

Normalized reference-video duration and output duration use the same per-second rate:

ResolutionPer second
480p$0.075
720p$0.15
1080p$0.375
4k$0.75

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.

Example: 5 seconds of normalized reference input plus 5 seconds of output costs $0.75 at 480p, $1.50 at 720p, $3.75 at 1080p, or $7.50 at 4k.


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.


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


Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "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 "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Describe the scene, action, camera movement, and mood for the video.
reference_imagesarray<string>No-0 ~ 9 itemsReference image URLs to guide visual style, characters, or scene composition.
reference_videosarray<string>No-0 ~ 3 itemsReference video URLs (total length must not exceed 15 seconds).
reference_audiosarray<string>No-0 ~ 3 itemsReference audio URLs (total length must not exceed 15 seconds).
aspect_ratiostringNo16:916:9, 9:16, 4:3, 3:4, 1:1, 21:9The aspect ratio of the generated video.
resolutionstringNo720p480p, 720p, 1080p, 4kThe output video resolution.
durationintegerNo54 ~ 15The duration of the generated video in seconds (4-15s).
enable_web_searchbooleanNofalse-Enable web search for real-time information.
generate_audiobooleanNotrue-Whether to generate native audio synchronized with the output video. Defaults to true.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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