Seedance 2.5 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
$0.36per run·~27 / $10
Use the woman, headphones, and studio from <Image 1>. Preserve her exact face, hairstyle, outfit, headphones, microphone, and original composition. She presses one ear cup closer and listens. A thin luminous waveform begins emerging physically from the headphones, floating through the air like a ribbon of light. The waveform moves toward the microphone and gently wraps around it. She follows it with her eyes, surprised but calm. The camera begins with the same clean framing as <Image 1> and slowly slides sideways to reveal the glowing waveform. Elegant science-fiction visual, clear subject, simple motion, polished cinematic lighting.
The woman in @Image 1 sits at a table in @Image 2, lifts her coffee, glances out the window, then turns to the camera and says: "Best part of my morning." Gentle handheld shot, warm daylight, soft cafe ambience.
Use the woman from <Image 1> and the black vintage coupe from <Image 2>. Preserve her exact face, hairstyle, red dress, jewelry, and body proportions, and preserve the vehicle’s body shape, black paint, headlights, chrome trim, wheels, and tinted windows. The woman leaves a glamorous evening party and walks alone toward the parked black coupe. Before she reaches it, the headlights turn on by themselves. She stops. The passenger door slowly opens. Instead of getting inside, she looks through the windshield and sees a bouquet of white flowers resting on the driver seat. Her expression changes when she recognizes them. The camera begins behind foreground party lights, tracks alongside her toward the car, then settles into a low cinematic angle for the reveal. Romantic mystery, elegant night cinematography, realistic reflections, restrained acting, sophisticated neo-noir atmosphere.
Seedance 2.5 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 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: 480p, 720p, 1080p, or 4k. 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 to guide soundtrack, ambience, or audio style. Total reference audio length must not exceed 30 seconds. |
16:9 for widescreen, 9:16 for vertical content, or another supported layout.4 to 30 seconds.480p, 720p, 1080p, or 4k.generate_audio enabled when synchronized audio is needed.Most weak results come from thin prompts. Seedance reads a prompt like a shot list — the more you direct it, the more it delivers. Structure your prompt in three layers.
Open with a single line that fixes the essentials:
subject + setting + action + style + camera
A lone astronaut walks across a red desert at dusk, cinematic sci-fi, slow low-angle tracking shot.
For anything with a beginning, middle, and end, break the duration into timed segments (1-second granularity). Keep the timeline continuous — no gaps.
0-3s: The astronaut crests a dune, silhouetted against the setting sun. Slow push-in. 3-7s: They stop, turn to face the camera, and raise a hand to shield their eyes. Wind lifts red dust across the frame. 7-10s: Wide pull-back reveals a half-buried spaceship behind them. Warm rim light, long shadows.
Give each range enough to do but not too much — cramming a dozen actions into three seconds causes cuts or dropped beats.
End with anything that should hold across the whole clip: camera style, lighting, color palette, atmosphere, audio.
Handheld feel throughout, shallow depth of field, warm golden-hour palette. Ambient wind and footsteps only — no music.
Write these directly; the model understands them:
For a niche term, add a plain-language gloss: "rack focus: the sharp foreground softens as the background comes into focus."
When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @Image 1, @Video 1, @Audio 1 — and say what it's for. Don't rely on labels drawn inside the image itself.
When a reference is already accurate, just point to it — no need to re-describe it in detail.
Positive descriptions work best, but you can suppress subtitles and audio:
| prompt | |
|---|---|
| weak | a cat playing |
| strong | A ginger cat pounces on a ball of yarn on a sunlit wooden floor. 0-2s: it crouches, tail flicking, eyes locked on the yarn. 2-5s: it springs forward and bats the yarn across the floor, then chases it out of frame. Low eye-level shot, slight handheld follow, warm afternoon light, shallow depth of field. Playful mood, soft ambient room tone, no music. |
Output-only pricing:
| Resolution | Per second | 5 seconds | 10 seconds | 15 seconds | 30 seconds |
|---|---|---|---|---|---|
| 480p | $0.18 | $0.90 | $1.80 | $2.70 | $5.40 |
| 720p | $0.36 | $1.80 | $3.60 | $5.40 | $10.80 |
| 1080p | $0.90 | $4.50 | $9.00 | $13.50 | $27.00 |
| 4k | $1.80 | $9.00 | $18.00 | $27.00 | $54.00 |
Prices scale linearly with output duration from 4 to 30 seconds.
Normalized reference-video duration and output duration use the same per-second rate:
| Resolution | Per second |
|---|---|
| 480p | $0.11 |
| 720p | $0.22 |
| 1080p | $0.55 |
| 4k | $1.10 |
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.
Example: 5 seconds of normalized reference input plus 5 seconds of output costs $1.10 at 480p, $2.20 at 720p, $5.50 at 1080p, or $11.00 at 4k.
16:9 for cinematic widescreen and 9:16 for vertical social content.@Image 1, @Image 2, and @Audio 1 to reference uploaded assets in the prompt.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/reference-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.5 Reference To Video below.
set -euo pipefail
: "${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" \
-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";
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", 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 is a ByteDance model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.5 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.
Seedance 2.5 Reference To Video starts at $0.36 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.
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.