Seedance 2.5 Image to Video Turbo API on WaveSpeedAI

Seedance 2.5 Image-to-Video Turbo

Seedance 2.5 Image-to-Video Turbo generates high-resolution cinematic videos from reference images with turbo generation. Upload a start image, describe the motion and scene, optionally provide a last-frame image, and generate 720p or 1080p video with synchronized audio.

Why Choose This?

Turbo image-to-video generation
Generate high-resolution videos with faster turbo delivery.
Image-faithful generation
Preserve the reference image's subject identity, composition, lighting, and style while adding motion.
Optional last-frame guidance
Use last_image to guide the final frame or video continuation direction.
Native audio generation
Generate synchronized audio together with the output video.
Director-style prompt control
Control camera movement, lighting, atmosphere, character performance, and scene progression through prompts.
720p and 1080p output
Choose 720p for lower-cost generation or 1080p for higher-resolution output.

Parameters

Parameter	Required	Description
prompt	Yes	Detailed description of the cinematic scene, motion, camera behavior, lighting, and mood.
image	Yes	Start image URL to guide the video generation.
last_image	No	Last-frame image URL for video continuation or ending-frame guidance.
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`.

The output aspect ratio follows the input image automatically.

How to Use

Upload the start image — Provide the image that should guide the first frame, subject, composition, and style.
Write your prompt — Describe the motion, camera movement, lighting, mood, and scene development.
Add last image optional — Use last_image when you want to guide the final frame or ending direction.
Choose resolution — Select 720p for lower-cost generation or 1080p for higher-resolution output.
Set duration — Choose a video length from 4 to 30 seconds.
Configure audio optional — Keep generate_audio enabled when synchronized audio is needed.
Submit — Generate the final image-to-video output.

Writing Effective Prompts

The input image sets the first frame — your prompt directs what happens from there. The clearer the motion and camera direction, the better the result.

1. Start from the frame

Describe the action that begins from your image: what the subject does, where it goes, how the camera moves. Don't re-describe what's already visible in the image — build on it.

The woman in the photo turns from the window and walks toward the camera; slow push-in, warm interior light.

2. Shot-by-shot timeline

For longer clips, break the motion into timed segments (1-second granularity), continuous, no gaps.

0-2s: She turns from the window, a faint smile forming. Camera holds. 2-5s: She walks toward the lens and stops mid-frame; slow push-in, shallow focus. 5-8s: She glances off-screen as light shifts from warm to cool. Handheld drift.

3. Consistency notes

Lock the look for the whole clip: camera style, lighting, palette, atmosphere, audio.

Camera language

Write these directly; the model understands them:

Shot size — extreme wide, wide, medium, medium close-up, close-up
Movement — push in, pull out, pan, track, follow, orbit, tilt up, handheld shake
Angle — low angle, overhead, eye-level, first-person
Techniques — one-shot / long take, dolly zoom, bullet time, speed ramp

For a niche term, add a plain-language gloss: "rack focus: the sharp foreground softens as the background comes into focus."

Referencing uploaded assets

When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @image1, @video1, @audio1 — and say what it's for. Don't rely on labels drawn inside the image itself.

"The knight in @image1 walks through the castle in @image2."
"Refer to @video1 for the camera movement only; keep its shot order."
"@image1 and @image2 are Character 1, voiced by @audio1."

When a reference is already accurate, just point to it — no need to re-describe it in detail.

Negative control

Positive descriptions work best, but you can suppress subtitles and audio:

"No subtitles."
"No BGM — ambient and action sounds only."
"No audio."

Weak vs. strong

	prompt
weak	`make it move`
strong	`The parked car in the image pulls out and drives down the wet street. 0-3s: headlights flick on, the car eases forward, reflections rippling on the asphalt. 3-6s: it accelerates past the camera, which pans to follow. Low angle, neon reflections, light rain, cinematic night mood. Engine and rain sounds, no music.`

Pricing

Pricing is based on selected resolution and duration.

Resolution	Duration	Cost
720p	5s	$1.00
720p	10s	$2.00
720p	15s	$3.00
720p	30s	$6.00
1080p	5s	$1.10
1080p	10s	$2.20
1080p	15s	$3.30
1080p	30s	$6.60

Best Use Cases

Turbo HD video generation — Generate 720p or 1080p videos from reference images with faster turnaround.
Product demos — Animate product shots into high-resolution showcase videos.
Ad creatives — Create commercial-style footage for campaigns and marketing tests.
Character animation — Bring character art or portraits to life with cinematic motion.
Start-and-end-frame generation — Use image and last_image to guide both the beginning and ending of the video.
Social media content — Generate polished short-form videos from still images.

Pro Tips

Use high-quality reference images for stronger subject preservation.
Write prompts like a film director, including camera movement, lighting, action, and mood.
Use last_image when the ending frame or final visual direction matters.
Use 720p for lower-cost testing and 1080p for higher-resolution output.
Start with shorter durations for quick iteration, then increase the duration when the motion direction is confirmed.
Keep the prompt focused on visible motion and scene progression.

Related Models

Seedance 2.5 Image-to-Video — Higher-quality image-to-video generation.
Seedance 2.5 Text-to-Video Turbo — Generate videos from text prompts with the turbo workflow.
Seedance 2.0 Fast Image-to-Video Turbo — Speed-optimized image-to-video generation.

Seedance 2.5 Image To Video Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-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 Image To Video Turbo below.

HTTP example

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",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "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/image-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
done

Node.js example

const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "resolution": "720p",
        "duration": 5,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}

Python example

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",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "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/image-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 Image To Video Turbo API — Frequently asked questions

What is the Seedance 2.5 Image To Video Turbo API?

Seedance 2.5 Image To Video Turbo is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.5 (Image-to-Video Turbo) generates cinematic 720p/1080p videos from reference images —a faster, more affordable high-resolution tier with native audio-visual synchronization, director-level control, and exceptional motion stability. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.5 Image To Video Turbo API?

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-2.5-image-to-video-turbo.

How much does Seedance 2.5 Image To Video Turbo cost per run?

Seedance 2.5 Image To Video Turbo starts at $1.00 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.

What inputs does Seedance 2.5 Image To Video Turbo accept?

Key inputs: `prompt`, `image`, `resolution`, `duration`, `generate_audio`, `last_image`. 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-image-to-video-turbo.

How long does Seedance 2.5 Image To Video Turbo take to generate?

Median end-to-end generation time on WaveSpeedAI is around 708 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Seedance 2.5 Image To Video Turbo outputs commercially?

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.

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README

Seedance 2.5 Image-to-Video Turbo

Why Choose This?

Parameters

How to Use

Writing Effective Prompts

1. Start from the frame

2. Shot-by-shot timeline

3. Consistency notes

Camera language

Referencing uploaded assets

Negative control

Weak vs. strong

Pricing

Best Use Cases

Pro Tips

Related Models

Seedance 2.5 Image To Video Turbo API — Quick start

Seedance 2.5 Image To Video Turbo API — Frequently asked questions

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