Seedance 2.5 Turbo Reference to Video creates cinematic videos with native audio from your own reference images, videos, and audio, keeping characters, products, motion, and sound consistent while a prompt directs the new shot. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.2per run·~50 / $10
Use the cartographer from <Image 1> and compass from <Image 2>. Preserve his exact identity, clothing, boots, satchel, and map. Preserve the compass’s brass body, blue enamel, engravings, glass, and leather strap. The opening frame is a clean medium-wide shot of the cartographer standing on the deck of a wooden sailing ship. He holds the compass clearly in one hand. The needle suddenly begins spinning rapidly. He unfolds the nautical chart on a barrel. The compass stops and points not toward the horizon, but directly toward a blank section of the map. A thin line of seawater slowly appears across the paper, drawing a route by itself. The camera starts centered on the man, moves closer to the compass, then tilts down to the map as the route appears. Historical adventure mystery, realistic ship movement, detailed brass and paper textures, cinematic ocean atmosphere.
The woman in @Image 1 picks up the mug from @Image 2, takes a slow sip and smiles at the camera. Soft morning light, shallow depth of field, slow push-in.
Seedance 2.5 Turbo Reference-to-Video guides generation with your own reference images, videos, and audio. Keep characters, products, scenes, motion, and soundtrack consistent while a prompt directs the new shot, with native synchronized audio and director-style control over camera, lighting, and pacing. The same reference inputs are also accepted by Seedance 2.5 Turbo Text-to-Video.
Reference-guided generation
Use reference images, videos, and audio to steer characters, products, composition, motion, and soundtrack.
Consistent subjects
Keep the same character, product, or scene across shots by attaching it as a reference.
Native audio generation
Generate synchronized audio together with the video in a single workflow.
Director-style prompt control
Control camera movement, lighting, performance, atmosphere, and visual style through prompts.
Flexible output settings
Choose aspect ratio, duration, resolution, and audio generation settings for different creative workflows.
| 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 | Conditional | Reference image URLs to guide style, characters, or composition. |
| reference_videos | Conditional | 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 | Conditional | Reference audio URLs. Total reference audio length must not exceed 30 seconds. |
720p for lower-cost generation or 1080p for higher-resolution output.4 to 30 seconds.generate_audio enabled when synchronized audio is needed.Pricing is calculated upfront using your selected duration, plus reference-video charges when applicable.
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 |
Pricing has two parts:
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 | $4.05 |
720p or 1080p videos from text prompts with faster turnaround.720p for lower-cost testing and 1080p for higher-resolution output.@Image 1, @Image 2, and @Audio 1 to reference uploaded assets in the prompt.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/reference-to-video-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.5 Reference To Video Turbo below.
set -euo pipefail
: "${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/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/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/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 Reference To Video Turbo is a ByteDance model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.5 Turbo Reference to Video creates cinematic videos with native audio from your own reference images, videos, and audio, keeping characters, products, motion, and sound consistent while a prompt directs the new shot. 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/bytedance-seedance-2.5-reference-to-video-turbo.
Seedance 2.5 Reference To Video Turbo starts at $0.2 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/bytedance-seedance-2.5-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.