Seedance 2.0 Fast (Text-to-Video) generates cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability — optimized for faster generation at lower cost. Built on Seed's unified multimodal architecture.
Idle
$0.4per run·~25 / $10
Ultra realistic cinematic lifestyle shot, beautiful young Caucasian woman sitting in a bright minimalist café, calm neutral facial expression, natural relaxed gaze, soft loose hair slightly stirred by indoor breeze, modest loose neutral long-sleeve casual top, high-waisted straight-fit trousers, plain fabric without any logos or brand prints, natural casual sitting posture, one hand gently gripping a ceramic latte mug with thin wispy steam rising, subtle slight motion blur on wrists and fingers to create fast-paced lively atmosphere, warm natural daylight pouring through floor-to-ceiling windows, soft gentle lens flare, light wood café furniture, blurred faint patrons in background, small green potted plants beside windows, bright airy ambient lighting, warm mild color grading, shallow depth of field, slight shaky handheld dynamic shot, lifelike natural skin texture, clear delicate facial details, laid-back casual daily vibe, 4K ultra high resolution, shot on 35mm film, neat clean indoor space, no messy clutter
Seedance 2.0 Fast is the speed-optimized version of Seed's latest video generation model. The Text-to-Video mode generates cinematic videos from text prompts with native audio synchronization — faster and at 33% lower cost than the standard version, ideal for rapid iteration and high-volume production.
Speed-optimized generation Faster processing for quick turnaround on video projects, perfect for iteration and prototyping.
33% lower cost $0.80 per 5 seconds vs $1.20 for the standard version — ideal for high-volume production.
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.
Strong motion stability Coherent motion with stable subjects and fluid transitions.
| 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: 4-15 (default: 5) |
| resolution | No | Output resolution: 480p, 720p (default), 1080p, or 4k |
| enable_web_search | No | Enable web search for real-time information (default: false) |
| 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 (total length must not exceed 15 seconds) |
| reference_audios | No | Reference audio URLs (total length must not exceed 15 seconds) |
Billed per 5-second block of output duration.
| Resolution | Duration | Cost |
|---|---|---|
| 480p | 5 s | $0.50 |
| 480p | 10 s | $1.00 |
| 480p | 15 s | $1.50 |
| 720p | 5 s | $1.00 |
| 720p | 10 s | $2.00 |
| 720p | 15 s | $3.00 |
| 1080p | 5 s | $2.50 |
| 4k | 5 s | $5.00 |
| 1080p | 10 s | $5.00 |
| 4k | 10 s | $10.00 |
| 1080p | 15 s | $7.50 |
| 4k | 15 s | $15.00 |
When reference_videos are provided, billing follows the same scheme as Seedance 2.0 Fast 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.
| Resolution | Per second |
|---|---|
| 480p | $0.065 |
| 720p | $0.13 |
| 1080p | $0.325 |
| 4k | $0.650 |
Examples (reference videos totaling 5 s, output 5 s = 10 billed seconds):
| Resolution | Cost |
|---|---|
| 480p | $0.65 |
| 720p | $1.30 |
| 1080p | $3.25 |
| 4k | $6.50 |
Notice: Use @image1, @image2, @audio1, etc. to reference your uploaded assets. The references will stay as plain text—don't worry.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Fast Text To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/text-to-video" \
-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-2.0-fast/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));
}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-fast/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 Fast Text To Video is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Fast (Text-to-Video) generates cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability — optimized for faster generation at lower cost. Built on Seed's unified multimodal architecture. 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-2.0-fast-text-to-video.
Seedance 2.0 Fast Text To Video starts at $0.50 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`, `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-fast-text-to-video.
Median end-to-end generation time on WaveSpeedAI is around 133 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
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.