Seedance 2.0 Mini Image to Video Turbo API on WaveSpeedAI

Name: Seedance 2.0 Mini Image to Video Turbo
Brand: bytedance
SKU: bytedance/seedance-2.0-mini/image-to-video-turbo
Price: 0.7 USD
Availability: InStock

ByteDance Seedance 2.0 Mini Image-to-Video Turbo

ByteDance Seedance 2.0 Mini Image-to-Video Turbo generates videos from a start image and text prompt. Upload an image, describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.

Need the standard image-to-video version instead? Try ByteDance Seedance 2.0 Mini Image-to-Video.
Need to generate from text instead? Try ByteDance Seedance 2.0 Mini Text-to-Video.

Why Choose This?

Turbo image-to-video generation
Generate videos from a start image with a faster turbo workflow.
Prompt-guided motion control
Describe the scene, action, camera movement, and mood for the generated video.
Optional last-frame guidance
Provide last_image to guide the final frame or continuation direction.
Native audio generation
Generate synchronized audio together with the output video using generate_audio.
Flexible aspect ratios
Choose from 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9, or let the output adapt to the input image.
Resolution options
Generate videos in 720p or 1080p.

Parameters

Parameter	Required	Description
prompt	Yes	Describe the scene, action, camera movement, and mood for the video.
image	Yes	Start image URL to guide the video generation.
last_image	No	Last frame image URL for video continuation.
aspect_ratio	No	Output aspect ratio: `16:9`, `9:16`, `4:3`, `3:4`, `1:1`, or `21:9`. If not specified, adapts to the input image.
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`.

How to Use

Write your prompt — Describe the scene, subject, action, camera movement, lighting, and mood.
Upload the start image — Provide the image that should guide the video generation.
Add a last image optional — Use last_image when you want to guide the final frame or ending direction.
Choose aspect ratio optional — Select a supported aspect ratio, or leave it empty to adapt to the input image.
Choose resolution — Select 720p or 1080p.
Set duration — Choose a duration between 4 and 15 seconds.
Configure audio optional — Keep generate_audio enabled for synchronized native audio, or disable it if audio is not needed.
Submit — Generate the final video.

Example Prompt

A cinematic shot of the character slowly walking through a neon-lit street at night, soft rain falling, reflections on the wet pavement, gentle camera movement, atmospheric lighting, calm but dramatic mood.

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

Per 5 Seconds

Resolution	Cost
720p	$0.40
1080p	$0.50

Per Second

Resolution	Cost
720p	$0.08
1080p	$0.10

Example Costs

Resolution	4s	5s	10s	15s
720p	$0.32	$0.40	$0.80	$1.20
1080p	$0.40	$0.50	$1.00	$1.50

Best Use Cases

Turbo image-to-video generation — Generate short videos from a start image and prompt.
Start-and-end-frame guidance — Use image and last_image to guide the beginning and ending of the video.
Cinematic short clips — Create video scenes with motion, atmosphere, and synchronized audio.
Social media content — Generate vertical, square, landscape, or ultra-wide video formats.
Creative prototyping — Test scene ideas, motion concepts, and visual directions from a reference image.

Pro Tips

Use a clear start image with the main subject visible.
Use last_image when the final frame or ending direction matters.
Keep prompts focused on visible motion, camera behavior, lighting, and mood.
Use 720p for lower-cost generation and 1080p for higher-resolution output.
Keep generate_audio enabled when you want the video to include synchronized native audio.
Choose an aspect ratio that matches your final format, such as 9:16 for vertical content or 16:9 for widescreen video.

Related Models

ByteDance Seedance 2.0 Mini Image-to-Video — Generate video from a start image and prompt.
ByteDance Seedance 2.0 Mini Text-to-Video — Generate video directly from text prompts.

Seedance 2.0 Mini Image To Video Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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 2.0 Mini 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",
    "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/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-2.0-mini/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "aspect_ratio": "16:9",
        "resolution": "720p",
        "duration": 5,
        "enable_web_search": false,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}

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",
    "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/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 2.0 Mini Image To Video Turbo API — Frequently asked questions

What is the Seedance 2.0 Mini Image To Video Turbo API?

Seedance 2.0 Mini Image To Video Turbo is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini Image to Video Turbo is ByteDance's faster, lower-cost image-to-video model for cinematic multi-shot videos. It turns reference images and optional text prompts into narrative sequences with AI camera control, consistent characters, 720P / 1080P output, 5-12s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.0 Mini 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 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-image-to-video-turbo.

How much does Seedance 2.0 Mini Image To Video Turbo cost per run?

Seedance 2.0 Mini Image To Video Turbo starts at $0.7 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 2.0 Mini Image To Video Turbo accept?

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

How long does Seedance 2.0 Mini Image To Video Turbo take to generate?

Reported generation time on WaveSpeedAI is around 143 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.

Can I use Seedance 2.0 Mini Image To Video Turbo outputs commercially?

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.

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Related Models

README

ByteDance Seedance 2.0 Mini Image-to-Video Turbo

Why Choose This?

Parameters

How to Use

Example Prompt

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

Per 5 Seconds

Per Second

Example Costs

Best Use Cases

Pro Tips

Related Models

Seedance 2.0 Mini Image To Video Turbo API — Quick start

Seedance 2.0 Mini Image To Video Turbo API — Frequently asked questions

Learn More

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