Seedance 2.0 Mini 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
$0.08per run·~12 / $1
Use the violinist from <Image 1> and the porcelain mask from <Image 2>. Preserve her exact face, hairstyle, dress, violin, and jewelry. Preserve the mask’s white porcelain surface, blue floral patterns, gold edging, crack, and ribbons. The opening frame is a clean medium-wide shot of the violinist standing alone in an empty rehearsal room. The porcelain mask rests clearly on a chair beside her. She begins playing one slow note. The mask slowly turns on the chair until it faces her. She stops playing. After a brief silence, the violin produces one final note by itself. The camera begins in a stable frontal composition, slowly dollies closer during the performance, then shifts focus from the woman to the mask for the reveal. Elegant psychological mystery, cinematic concert lighting, restrained acting, realistic instrument detail, slow controlled suspense.
The woman in @Image 1 turns the mug from @Image 2 slowly in her hands, then looks up and laughs softly. Natural light, shallow depth of field.
Seedance 2.0 Mini 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 2.0 Mini 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 | Describe the scene, action, camera movement, and mood for the video. |
| reference_images | Conditional | Reference image URLs to guide visual style, characters, or scene composition. Supports up to 9 images. |
| reference_videos | Conditional | Reference video URLs (up to 3). Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 15 seconds, and the normalized combined input duration is rounded up to a whole second for billing. |
| reference_audios | Conditional | 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.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 |
|---|---|---|---|---|
| 720p | $0.08 | $0.40 | $0.80 | $1.20 |
| 1080p | $0.10 | $0.50 | $1.00 | $1.50 |
Pricing has two parts:
Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 15 seconds, and the normalized combined input duration is rounded up to a whole second for billing.
| Reference input | Output | 720p | 1080p |
|---|---|---|---|
| 2s | 5s | $0.3625 | $0.4625 |
| 5s | 5s | $0.475 | $0.575 |
| 15s | 5s | $0.85 | $0.95 |
generate_audio enabled when you want the output video to include synchronized native audio.9:16 for vertical content or 16:9 for widescreen video.Notice: Use @Image 1, @Image 2, @Audio 1, etc. to reference your uploaded assets. Number each type separately, in upload order.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/reference-to-video-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Mini Reference To Video Turbo below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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-2.0-mini/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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,
"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/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 2.0 Mini Reference To Video Turbo is a ByteDance model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini 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-2.0-mini-reference-to-video-turbo.
Seedance 2.0 Mini Reference To Video Turbo starts at $0.08 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`, `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-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.