Seedance 2.0 Image to Video | Fast Image-to-Video API on WaveSpeedAI

Seedance 2.0 Image-to-Video

Seedance 2.0 is Seed's latest video generation model, built on a unified multimodal architecture. The Image-to-Video mode generates production-grade cinematic videos from reference images and text prompts — preserving the input image's subject, composition, and style while adding expressive motion with native audio synchronization.

Key Features

Unified multimodal architecture A single model that handles text, image, audio, and video inputs for comprehensive creative flexibility.
Image-faithful generation Preserves the reference image's subject identity, composition, lighting, and style while animating it into motion.
Multi-image reference support Guide generation with up to 4 reference images for consistent style, characters, or scenes.
Native audio-visual synchronization Generates video with synchronized audio in a single pass.
Director-level control Granular control over camera movement, lighting, shadows, and character performance through prompts.
Exceptional motion stability Industry-leading motion coherence with stable subjects, consistent physics, and fluid transitions.

Parameters

Parameter	Required	Description
prompt	Yes	Detailed description of the cinematic scene
image	Yes	Start image URL to guide the video generation
last_image	No	Last frame image URL for video continuation
duration	No	Video length in seconds: 4-15 (default: 5)
aspect_ratio	No	Output format: 16:9, 9:16, 4:3, 3:4, 1:1, 21:9 (default: adaptive)
resolution	No	Output resolution: 480p, 720p (default), 1080p, or 4k
enable_web_search	No	Enable web search for real-time information (default: false)
generate_audio	No	Generate synchronized audio for the output video (default: true)

How to Use

Upload a start image — provide an image to guide the video generation.
Write your prompt — describe the scene with cinematic detail: action, camera movement, lighting, mood.
Set duration — choose any duration from 4 to 15 seconds.
Run — submit and download your cinematic video with synchronized audio.

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

Resolution	Duration	Cost
480p	5 s	$0.60
480p	10 s	$1.20
480p	15 s	$1.80
720p	5 s	$1.20
720p	10 s	$2.40
720p	15 s	$3.60
1080p	5 s	$3.00
4k	5 s	$6.00
1080p	10 s	$6.00
4k	10 s	$12.00
1080p	15 s	$9.00
4k	15 s	$18.00

Prices scale linearly with duration (4-15 seconds).

Billing Rules

Base rate (480p): $0.60 per 5 seconds
720p: 2x the 480p price
1080p: 5x the 480p price (2.5x the 720p price)
4k: 10x the 480p price (2x the 1080p price).
Duration range: 4-15 seconds (continuous)

Best Use Cases

Product Demos — Animate product shots into cinematic showcase videos.
Ad Creatives — Turn storyboard frames into polished commercial footage.
Character Animation — Bring character art or portraits to life with natural motion.
Scene Extension — Transform a single keyframe into a full cinematic sequence.
Style-Consistent Series — Use reference images to maintain visual consistency across multiple clips.

Pro Tips

Upload high-quality reference images for the best subject preservation.
Write prompts like a film director — include lighting, camera angles, and mood.
Use multiple reference images for better style and character consistency.
Start with a short duration (4-5s) to iterate, then extend up to 15s for the final cut.
Describe character expressions and actions for more engaging scenes.

Notes

Native audio generation is included — videos come with synchronized sound.
Up to 4 reference images can be uploaded.
Duration range: 4-15 seconds (continuous).
Aspect ratio follows the input image composition.

Related Models

Seedance 2.0 Text-to-Video — Generate video from text prompts alone.
Seedance 2.0 Fast Image-to-Video — Faster generation at lower cost.
Seedance 2.0 Fast Text-to-Video — Fast text-guided video generation.
Seedance V1.5 Pro Image-to-Video — Previous generation Seedance model.

Seedance 2.0 Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0/image-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 2.0 Image To Video 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/image-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
done

Node.js example

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

What is the Seedance 2.0 Image To Video API?

Seedance 2.0 Image To Video is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.0 (Image-to-Video) generates Hollywood-grade cinematic videos from reference images and text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability. Built on Seed's unified multimodal architecture, it preserves the input image's subject and composition while adding expressive, physically accurate motion. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.0 Image To Video 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-2.0-image-to-video.

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

Seedance 2.0 Image To Video starts at $0.60 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 Image To Video 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-image-to-video.

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

Median end-to-end generation time on WaveSpeedAI is around 152 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 2.0 Image To Video 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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Related Models

README

Seedance 2.0 Image-to-Video

Key Features

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

Billing Rules

Best Use Cases

Pro Tips

Notes

Related Models

Seedance 2.0 Image To Video API — Quick start

Seedance 2.0 Image To Video API — Frequently asked questions

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