Bytedance Seedance 2.0 Fast Text To Video Turbo API Documentation

Bytedance Seedance 2.0 Fast Text To Video Turbo API Documentation

Playground

Seedance 2.0 Fast (Text-to-Video Turbo) generates cinematic 720p/1080p videos from text prompts using speed-optimized inference —the fastest and most affordable Seedance option with native audio-visual synchronization and director-level control.

Features

Seedance 2.0 Fast Text-to-Video Turbo is the fastest and most affordable Seedance option — combining speed-optimized inference to deliver 720p and 1080p cinematic videos with native audio-visual synchronization.

Key Features

• Fastest Seedance option Speed-optimized inference for maximum throughput.

• Affordable HD output Starting at $0.60 per 5 seconds at 720p.

• Unified multimodal architecture Same Seedance 2.0 foundation handling text, image, audio, and video inputs.

• Native audio-visual synchronization Generates video with synchronized audio in a single pass.

• Director-level control Camera movement, lighting, shadows, and character performance controlled through prompts.

Parameters

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

Pricing

Without reference videos, output is $0.60 per 5 seconds at 720p and $0.65 per 5 seconds at 1080p.

With reference videos, pricing has two parts:

• Normalized reference-video duration + output duration: $0.065 per second.
• Output upscale: $0.02 per second at 720p or $0.03 per 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.

Best Use Cases

• Maximum Speed — Fastest possible Seedance generation at HD resolution.
• High-Volume Production — Most cost-effective HD generation for large content libraries.
• Rapid Prototyping — Quick iteration on HD concepts before upgrading to standard quality.
• A/B Testing — Generate many variations efficiently.

Pro Tips

• Use this for maximum speed and lowest cost at HD resolution.
• Switch to standard Seedance 2.0 for final production quality.
• Write prompts like a film director — include lighting, camera angles, and mood.
• Start with 5s to iterate, then extend once the look is right.

Notes

• Native audio generation included.
• Resolution options: 720p and 1080p only (turbo mode with speed-optimized inference).
• Duration range: 4-15 seconds (continuous).

Related Models

• Seedance 2.0 Fast Text-to-Video — Speed-optimized generation.
• Seedance 2.0 Text-to-Video Turbo — Standard inference turbo mode.
• Seedance 2.0 Text-to-Video — Highest quality generation.

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-fast/text-to-video-turbo" \
  -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

Response Parameters

Result Request Parameters

Result Response Parameters