Seedance 2.5 (Text-to-Video Turbo) generates cinematic 720p/1080p videos from text prompts —a faster, more affordable high-resolution tier with native audio-visual synchronization, director-level control, and exceptional motion stability.
Idle
$0.9per run·~11 / $10
ExamplesView all
5‑second hyper‑realistic first‑person POV, 8mm ultra‑wide lens right behind an invisible shockwave, inside subway carriage, FPV drone aesthetic, heavy unstable shaking, frequent tilt‑and‑roll motions, heavy barrel distortion, strong motion blur on frame edges. Explosive shock erupts at carriage center, newspapers, bags, phones, umbrellas get hurled upward; passengers slam into handrails and tumble over seats. Ceiling lights strobe harshly between bright white and darkness. Camera weaves through flying debris, handrails rush past frame sides. Crashes through shattering carriage door, glass shards stretch into glowing light streaks. Bursts into dark tunnel, red‑green‑yellow signal lights streak by, dust particles swirl. Blasts out of tunnel into blinding golden sunset backlight, over‑exposure flash, revealing wreckage‑strewn tracks under reddish dusk sky.
Related Models
README
Seedance 2.5 Text-to-Video Turbo
Seedance 2.5 Text-to-Video Turbo generates high-resolution cinematic videos from text prompts with turbo generation. It supports 720p and 1080p output, native audio-visual synchronization, and optional reference images, videos, or audio for stronger visual and motion guidance.
Why Choose This?
-
Turbo text-to-video generation
Generate high-resolution videos with faster turbo delivery. -
Native audio generation
Generate synchronized audio together with the output video in a single workflow. -
Director-style prompt control
Control camera movement, lighting, shadows, character performance, mood, and scene progression through prompts. -
Reference-guided generation
Use reference images, videos, or audio to guide style, characters, composition, motion, or soundtrack direction. -
720p and 1080p output
Choose720pfor lower-cost generation or1080pfor higher-resolution output. -
Flexible aspect ratios
Generate videos in16:9,9:16,4:3,3:4,1:1, or21:9.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Detailed description of the cinematic scene, action, camera movement, lighting, and mood. |
| aspect_ratio | No | Output aspect ratio: 16:9, 9:16, 4:3, 3:4, 1:1, or 21:9. Default: 16:9. |
| duration | No | Video length in seconds. Range: 4–30. Default: 5. |
| resolution | No | Output resolution: 720p or 1080p. Default: 720p. |
| generate_audio | No | Generate synchronized audio for the output video. Default: true. |
| reference_images | No | Reference image URLs to guide style, characters, or composition. |
| reference_videos | No | Reference video URLs (up to 10). Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 30 seconds, and the normalized combined input duration is rounded up to a whole second for billing. |
| reference_audios | No | Reference audio URLs. Total reference audio length must not exceed 30 seconds. |
How to Use
- Write your prompt — Describe the scene, subject, action, camera movement, lighting, mood, and visual style.
- Add references optional — Use reference images for style, characters, or composition; reference videos for motion or pacing; and reference audio for soundtrack direction.
- Choose aspect ratio — Select the output layout that matches your target format.
- Choose resolution — Use
720pfor lower-cost generation or1080pfor higher-resolution output. - Set duration — Choose a video length from
4to30seconds. - Configure audio optional — Keep
generate_audioenabled when synchronized audio is needed. - Submit — Generate the final text-to-video output.
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 | |
|---|---|
| weak | a cat playing |
| strong | A 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:
| Resolution | Per second | 5 seconds | 10 seconds | 15 seconds | 30 seconds |
|---|---|---|---|---|---|
| 720p | $0.20 | $1.00 | $2.00 | $3.00 | $6.00 |
| 1080p | $0.22 | $1.10 | $2.20 | $3.30 | $6.60 |
With reference videos
Pricing has two parts:
- Normalized reference-video duration + output duration: $0.11 per second.
- Output upscale: $0.02 per output second at 720p or $0.04 per output second at 1080p.
Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 30 seconds, and the normalized combined input duration is rounded up to a whole second for billing.
| Reference input | Output | 720p | 1080p |
|---|---|---|---|
| 2s | 5s | $0.87 | $0.97 |
| 5s | 5s | $1.20 | $1.30 |
| 15s | 5s | $2.30 | $2.40 |
| 30s | 5s | $3.95 | $4.05 |
Best Use Cases
- Turbo HD video generation — Generate
720por1080pvideos from text prompts with faster turnaround. - High-volume content production — Create cost-efficient high-resolution videos for large creative pipelines.
- Social media content — Produce vertical, square, landscape, or ultra-wide videos for different platforms.
- Ad creatives — Generate cinematic commercial concepts, campaign videos, and product scenes.
- Reference-guided generation — Use images, videos, or audio to guide style, motion, characters, or soundtrack direction.
- Creative prototyping — Quickly test scene ideas, camera movement, lighting, and mood before final production.
Pro Tips
- Write prompts like a film director, including subject, action, camera movement, lighting, mood, and atmosphere.
- Use
720pfor lower-cost testing and1080pfor higher-resolution output. - Start with shorter durations for quick iteration, then increase duration once the visual direction is confirmed.
- Use reference images when character, product, or style consistency matters.
- Use reference videos when motion, pacing, or camera movement matters.
- Use reference audio when soundtrack, ambience, or voice style matters.
- Use asset tags such as
@image1,@image2, and@audio1to reference uploaded assets in the prompt. - Keep reference instructions clear so the model knows which asset controls style, character, motion, or audio direction.
Related Models
- Seedance 2.5 Text-to-Video — Higher-quality text-to-video generation.
- Seedance 2.5 Image-to-Video Turbo — Generate videos from reference images with the turbo workflow.
- Seedance 2.0 Fast Text-to-Video Turbo — Speed-optimized text-to-video generation.
Seedance 2.5 Text To Video Turbo API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/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 2.5 Text To Video Turbo below.
HTTP example
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/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="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
doneNode.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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,
"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-2.5/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 = 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 2.5 Text To Video Turbo API — Frequently asked questions
What is the Seedance 2.5 Text To Video Turbo API?
Seedance 2.5 Text To Video Turbo is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.5 (Text-to-Video Turbo) generates cinematic 720p/1080p videos from text prompts —a faster, more affordable high-resolution tier with native audio-visual synchronization, director-level control, and exceptional motion stability. You can call it programmatically or try it from the playground above.
How do I call the Seedance 2.5 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 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-2.5-text-to-video-turbo.
How much does Seedance 2.5 Text To Video Turbo cost per run?
Seedance 2.5 Text To Video Turbo starts at $0.9 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 2.5 Text To Video Turbo accept?
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `reference_images`, `generate_audio`. 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-2.5-text-to-video-turbo.
How long does Seedance 2.5 Text To Video Turbo take to generate?
Reported generation time on WaveSpeedAI is around 336 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.
Can I use Seedance 2.5 Text 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.