Seedance 2.5 (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.
Idle
$0.9per run·~11 / $10
5-second cinematic video. A rainy night street scene outside a small convenience store. The camera is positioned at sidewalk level, capturing a quiet empty street with reflections of neon lights on the wet pavement. A young man in a dark jacket suddenly runs into the frame, holding a mysterious old suitcase. He looks nervous and keeps checking behind him. He quickly places the suitcase near a wall and hides behind a street corner. A few seconds later, the suitcase suddenly starts shaking slightly. The man slowly approaches it, confused and frightened. He carefully opens the suitcase, and a bright warm light shines from inside, illuminating his surprised face. Realistic urban environment, cinematic night lighting, handheld camera movement, natural human acting, rain droplets, realistic reflections, dramatic atmosphere, 35mm film look, ultra realistic, immersive storytelling.
Seedance 2.5 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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Detailed description of the cinematic scene |
| aspect_ratio | No | Output format: 16:9 (default), 9:16, 4:3, 3:4, 1:1, 21:9 |
| duration | No | Video length in seconds: 4-30 (default: 5) |
| resolution | No | Output resolution: 480p, 720p (default), 1080p, or 4k |
| reference_images | No | Reference image URLs to guide style, characters, or composition |
| reference_videos | No | Reference video URLs (total length must not exceed 30 seconds) |
| reference_audios | No | Reference audio URLs (total length must not exceed 30 seconds) |
Billed per second of output duration, anchored at $0.90 per 5 seconds at 480p.
| Resolution | Duration | Cost |
|---|---|---|
| 480p | 5 s | $0.90 |
| 480p | 10 s | $1.80 |
| 480p | 15 s | $2.70 |
| 720p | 5 s | $1.80 |
| 720p | 10 s | $3.60 |
| 720p | 15 s | $5.40 |
| 1080p | 5 s | $4.50 |
| 4k | 5 s | $9.00 |
| 1080p | 10 s | $9.00 |
| 4k | 10 s | $18.00 |
| 1080p | 15 s | $13.50 |
| 4k | 15 s | $27.00 |
When reference_videos are provided, billing follows the same scheme as Seedance 2.5 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 2-30 s range.
| Resolution | Per second |
|---|---|
| 480p | $0.11 |
| 720p | $0.22 |
| 1080p | $0.55 |
| 4k | $1.10 |
Examples (reference videos totaling 5 s, output 5 s = 10 billed seconds):
| Resolution | Cost |
|---|---|
| 480p | $1.10 |
| 720p | $2.20 |
| 1080p | $5.50 |
| 4k | $11.00 |
Notice: Use @image1, @image2, @audio1, etc. to reference your uploaded assets. The references will stay as plain text—don't worry.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.5 Text To Video below.
set -euo pipefail
: "${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" \
-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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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));
}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", 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 2.5 Text To Video is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.5 (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.
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-2.5-text-to-video.
Seedance 2.5 Text To Video starts at $0.90 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.
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.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.