Seedance 2.0 Mini Text to Video Turbo is ByteDance's faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts with AI camera control, consistent characters, 720P / 1080P output, 5-12s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
En attente
$0.7par exécution·~14 / $10
A lone foreign woman standing beside an old car at a deserted gas station in the middle of the night, flickering sign, empty highway, distant headlights approaching, tense cinematic thriller mood, realistic scene
ByteDance Seedance 2.0 Mini Text-to-Video Turbo generates videos from natural-language prompts with optional reference images, videos, and audio. Describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.
Turbo text-to-video generation
Generate videos directly from text prompts with a faster turbo workflow.
Reference-guided generation
Add reference images, videos, or audio to guide visual style, characters, scene composition, motion, or audio direction.
Native audio generation
Generate synchronized audio together with the output video using generate_audio.
Flexible aspect ratios
Supports 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9 for different video layouts.
Resolution options
Generate videos in 720p or 1080p.
Web search option
Enable enable_web_search when the prompt needs real-time information.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the scene, action, camera movement, and mood for the video. |
| reference_images | No | Reference image URLs to guide visual style, characters, or scene composition. Supports up to 9 images. |
| reference_videos | No | Reference video URLs. Supports up to 3 videos, with total reference video length no more than 15 seconds. |
| reference_audios | No | Reference audio URLs. Supports up to 3 audio files, with total reference audio length no more than 15 seconds. |
| aspect_ratio | No | Output aspect ratio: 16:9, 9:16, 4:3, 3:4, 1:1, or 21:9. Default: 16:9. |
| resolution | No | Output video resolution: 720p or 1080p. Default: 720p. |
| duration | No | Duration of the generated video in seconds. Range: 4–15. Default: 5. |
| enable_web_search | No | Enable web search for real-time information. Default: false. |
| generate_audio | No | Whether to generate native audio synchronized with the output video. Default: true. |
16:9, 9:16, or 1:1.720p or 1080p.4 and 15 seconds.generate_audio enabled for synchronized native audio, or disable it if audio is not needed.A cinematic night market scene, warm lantern light, people walking through a narrow street, soft camera tracking movement, steam rising from food stalls, realistic atmosphere, gentle ambient motion, rich colors, detailed urban background.
| Resolution | Without Reference Videos | With Reference Videos |
|---|---|---|
| 720p | $0.35 | $0.65 |
| 1080p | $0.375 | $0.675 |
| Resolution | Without Reference Videos | With Reference Videos |
|---|---|---|
| 720p | $0.07 | $0.13 |
| 1080p | $0.075 | $0.135 |
| Resolution | Reference Videos | 4s | 5s | 10s | 15s |
|---|---|---|---|---|---|
| 720p | No | $0.28 | $0.35 | $0.70 | $1.05 |
| 1080p | No | $0.30 | $0.375 | $0.75 | $1.125 |
| 720p | Yes | $0.52 | $0.65 | $1.30 | $1.95 |
| 1080p | Yes | $0.54 | $0.675 | $1.35 | $2.025 |
generate_audio enabled when you want the output video to include synchronized native audio.9:16 for vertical content or 16:9 for widescreen video.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/text-to-video-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Mini Text To Video Turbo below.
set -euo pipefail
: "${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-mini/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=$(printf '%s' "$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-mini/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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-mini/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 = 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 Mini Text To Video Turbo is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini Text to Video Turbo is ByteDance's faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts with AI camera control, consistent characters, 720P / 1080P output, 5-12s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. 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-mini-text-to-video-turbo.
Seedance 2.0 Mini Text To Video Turbo starts at $0.70 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-mini-text-to-video-turbo.
Average end-to-end generation time on WaveSpeedAI is around 278 seconds per request — measured across recent runs. Queue time scales 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.