Seedance 2.5 Flash Reference-to-Video Turbo creates videos guided by text and optional image, video, and audio references, with 720p or 1080p output and optional generated audio. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.126per run·~79 / $10
@image 1 walks through a sunlit greenhouse full of green plants, stops to gently water a flower with a tiny watering can, soft mechanical whirring, birdsong and trickling water
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gemini-omni-1.2-flash/reference-to-video
Reference to Video
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seedance-2.5/reference-to-video
Reference to Video
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seedance-2.5-flash/reference-to-video
Reference to Video
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wan-3.0-prime/reference-to-video
Reference to Video
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wan-3.0/reference-to-video
Reference to Video
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seedance-2.5/reference-to-video-turbo
Reference to Video
Seedance 2.5 Flash Reference-to-Video Turbo uses reference images, videos and audio to guide subjects, scenes, motion and sound in a new video. Choose a duration of 4 to 30 seconds, 720p or 1080p output, and optional synchronized audio.
Turbo: this tier generates at 480p and upscales the result to your chosen resolution, which makes it faster and cheaper than the standard tier. Use the standard product for native quality, or for 4k.
Native audio
Enable audio generation for dialogue, sound effects and ambience.
Director-style prompt control
Direct camera movement, lighting, performance, atmosphere and pacing through the prompt.
Up to 30 seconds
Generate clips from 4 to 30 seconds in one request.
720p or 1080p output
Choose the resolution that fits the job. The video is generated at 480p and upscaled.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the scene, action, camera movement and mood. Refer to reference media as @Image 1, @Video 1, @Audio 1 in upload order. |
| reference_images | No | Up to 10 reference image URLs. |
| reference_videos | No | Up to 5 reference video URLs. Each is counted as at least 2 seconds; each clip and the combined input are capped at 30 seconds. |
| reference_audios | No | Up to 5 reference audio URLs, 30 seconds in total. |
| duration | No | Video length in whole seconds, 4–30. Default: 5. |
| aspect_ratio | No | 16:9, 9:16, 4:3, 3:4, 1:1 or 21:9. Default: 16:9. |
| resolution | No | 720p or 1080p. The video is generated at 480p and upscaled. Default: 720p. |
| generate_audio | No | Generate synchronized audio. Default: true. |
4–30 seconds, 720p or 1080p.| Resolution | Per second |
|---|---|
| 720p | $0.14 |
| 1080p | $0.16 |
The reference-video duration and the generation duration are charged at $0.075 per second, plus an upscale fee of $0.02 per generated second at 720p or $0.04 at 1080p. Each reference video is counted as at least 2 seconds, each clip and the combined input are capped at 30 seconds, and the combined input duration is rounded up to a whole second.
16:9 for widescreen and 9:16 for vertical social content.@Image 1, @Video 1, @Audio 1.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5-flash/reference-to-video-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.5 Flash Reference To Video Turbo below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5-flash/reference-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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5-flash/reference-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));
}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-flash/reference-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 Flash Reference To Video Turbo is a ByteDance model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.5 Flash Reference-to-Video Turbo creates videos guided by text and optional image, video, and audio references, with 720p or 1080p output and optional generated audio. 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 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/seedance-2.5-flash/reference-to-video-turbo.
Seedance 2.5 Flash Reference To Video Turbo starts at $0.126 per run or per second. 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/seedance-2.5-flash/reference-to-video-turbo.
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). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.