Seedream 5.0 Pro está no ar | Experimente no Gerador de Imagens →

Seedance 2.0 Mini Video Extend API

bytedance /

Seedance 2.0 Mini Video Extend is ByteDance's faster, lower-cost video extension model for cinematic multi-shot continuation. It extends existing videos into seamless narrative sequences with AI camera control, consistent characters, motion continuity, 480P / 720P / 1080P / 4K output, 4-15s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

video-extend
Entrada

Ocioso

$0.6por execução·~16 / $10

ExemplosVer todos

Continue the same cinematic shot seamlessly. The old sailing ship continues moving forward through the violent stormy ocean. The camera stays fixed, no camera movement, no cuts. Huge waves crash against the hull, sea spray fills the air, sails whip violently in the wind, and ropes swing naturally. Then a gigantic mysterious sea creature gradually appears from the dark ocean behind the ship — enormous, ancient, and terrifying, partially rising through the mist and waves. Its massive silhouette becomes visible through lightning flashes, creating a shocking sense of scale. The creature moves slowly in the storm, following near the ship, making the scene feel epic and dangerous. Keep the ship as the main subject while the giant creature emerges in the background or beside the ship. Realistic storm atmosphere, cinematic lighting, dramatic ocean physics, ultra realistic, seamless continuation, epic adventure movie style.

Modelos relacionados

README

ByteDance Seedance 2.0 Mini Video Extend

ByteDance Seedance 2.0 Mini Video Extend continues an existing video by generating a new segment from the input video's last frame. Upload a source video, describe the cinematic continuation, optionally provide a target last frame, and generate an extended video segment with synchronized native audio.

Why Choose This?

  • Video continuation
    Extend an existing video by generating a new segment that continues from the input video's last frame.

  • Prompt-guided extension
    Describe the action, camera movement, lighting, and mood for the new segment.

  • Optional target last frame
    Provide last_image when you want the new segment to interpolate toward a specific ending frame.

  • Native audio generation
    Generate synchronized audio together with the extended video segment using generate_audio.

  • Flexible resolution options
    Choose 480p, 720p, 1080p, or 4k depending on your quality and cost needs.

  • Web search option
    Enable enable_web_search when the continuation needs real-time information.

Parameters

ParameterRequiredDescription
promptYesDescribe the cinematic continuation, including action, camera movement, lighting, and mood.
videoYesURL of the input video to extend. Generation continues from the last frame.
last_imageNoOptional target last-frame URL. If provided, the new segment interpolates from the input video's last frame to this image.
resolutionNoOutput resolution of the new segment: 480p, 720p, 1080p, or 4k. Default: 720p.
durationNoLength in seconds of the new segment to append. Range: 4–15. Default: 5.
enable_web_searchNoEnable web search for real-time information. Default: false.
generate_audioNoWhether to generate native audio synchronized with the output video. Default: true.

How to Use

  1. Write your prompt — Describe how the video should continue, including subject action, camera movement, lighting, and mood.
  2. Upload the source video — Provide the input video that should be extended.
  3. Add a last image optional — Use last_image when you want to guide the ending frame of the new segment.
  4. Choose resolution — Select 480p, 720p, 1080p, or 4k.
  5. Set duration — Choose the length of the new segment between 4 and 15 seconds.
  6. Configure audio optional — Keep generate_audio enabled for synchronized native audio, or disable it if audio is not needed.
  7. Submit — Generate the extended video segment.

Example Prompt

Continue the scene with a slow forward camera movement, the character walking deeper into the neon-lit street, soft rain falling, reflections glowing on the pavement, cinematic lighting, calm but mysterious atmosphere.

Pricing

Per 5 Seconds

ResolutionCost
480p$0.30
720p$0.60
1080p$1.50
4k$3.00

Per Second

ResolutionCost
480p$0.06
720p$0.12
1080p$0.30
4k$0.60

Example Costs

Resolution4s5s10s15s
480p$0.24$0.30$0.60$0.90
720p$0.48$0.60$1.20$1.80
1080p$1.20$1.50$3.00$4.50
4k$2.40$3.00$6.00$9.00

Best Use Cases

  • Video extension — Continue an existing clip with a newly generated segment.
  • Scene continuation — Extend character action, camera movement, lighting, and atmosphere from the source video.
  • Target-frame continuation — Use last_image to guide the ending direction of the new segment.
  • Cinematic short clips — Generate continued video segments with synchronized native audio.
  • Creative prototyping — Test alternate continuations from the same source video.

Pro Tips

  • Use a source video with a clear ending frame.
  • Keep the prompt focused on what should happen next.
  • Use last_image when the final frame or ending direction matters.
  • Describe visible motion, camera behavior, lighting, and mood.
  • Use 480p for quick testing, 720p for standard output, 1080p for higher-resolution results, and 4k for maximum-resolution output.
  • Keep generate_audio enabled when you want the extended segment to include synchronized native audio.

Related Models

Nota:Este site utiliza modelos de IA fornecidos por terceiros.

Seedance 2.0 Mini Video Extend API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/video-extend 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 Video Extend 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",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "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/video-extend" \
  -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=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 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' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/video-extend";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "resolution": "720p",
        "duration": 5,
        "enable_web_search": false,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  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",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "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/video-extend", 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 = task.get("urls", {}).get("get") or 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"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Seedance 2.0 Mini Video Extend API — Frequently asked questions

What is the Seedance 2.0 Mini Video Extend API?

Seedance 2.0 Mini Video Extend is a ByteDance model for video extension, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini Video Extend is ByteDance's faster, lower-cost video extension model for cinematic multi-shot continuation. It extends existing videos into seamless narrative sequences with AI camera control, consistent characters, motion continuity, 480P / 720P / 1080P / 4K output, 4-15s 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 Video Extend 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-mini-video-extend.

How much does Seedance 2.0 Mini Video Extend cost per run?

Seedance 2.0 Mini Video Extend 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 Mini Video Extend accept?

Key inputs: `prompt`, `video`, `resolution`, `duration`, `enable_web_search`, `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-2.0-mini-video-extend.

How long does Seedance 2.0 Mini Video Extend take to generate?

Median end-to-end generation time on WaveSpeedAI is around 266 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 Mini Video Extend 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.

Seedance 2.0 Mini Video Extend API | WaveSpeedAI