Seedance Lite creates coherent multi-shot image-to-video clips in 1080p with smooth, stable motion and accurate prompt following. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.45per run·~22 / $10
An astronaut in a gleaming, futuristic suit floats gracefully through a swirling nebula, surrounded by bioluminescent space flora. The scene has a soft, dreamlike, pastel aesthetic.
Brushstrokes animate into live painting tidal wave under timelapse moon
Wolf dissolves into flying triangles reforming as a panther, drone rotation shot
Wings whirring levitate books into floating constellations, slow-motion
Rabbit's watering can sprouts glowing vines engulfing cottages in timelapse
360° grind on neon highway trailing particle fire, fisheye lens warp
The phoenix flew over the rolling hills and landed on a very tall geometric tree
Cat pounces causing data-wave ripple freezing raindrops mid-air
Helmet touch makes crystals bloom into alien flora with stop-motion pop
A couple walking hand-in-hand on a beach at sunset, with the sea breeze gently blowing through their hair. They look at each other and smile, eyes full of love. The camera slowly pushes in on them from the side.
A young woman, dressed in a flowing silk gown, gracefully dances alone on a dimly lit stage. Her movements are fluid and expressive, with spotlights highlighting her every turn. The camera slowly orbits her.
Seedance V1 Lite Image-to-Video 1080p is Full HD image-to-video generation model that transforms static images into stunning 1080p videos. With optional last-frame control, flexible durations up to 12 seconds, and multiple aspect ratios, create cinematic animations from any image.
| Parameter | Required | Description |
|---|---|---|
| prompt | No | Text description of desired motion and style. |
| image | Yes | Source image to animate (upload or public URL). |
| last_image | No | Optional ending frame image for controlled transitions. |
| duration | No | Video length: 2–12 seconds (default: 5). |
| aspect_ratio | No | Output aspect ratio (default: matches source). |
| camera_fixed | No | Fix camera position for stable shots. |
| seed | No | Set for reproducibility; -1 for random. |
| Aspect Ratio | Best For |
|---|---|
| 21:9 | Cinematic ultrawide content |
| 16:9 | YouTube, widescreen displays |
| 4:3 | Classic format, presentations |
| 1:1 | Instagram posts, social media squares |
| 3:4 | Portrait photos, Pinterest |
| 9:16 | TikTok, Instagram Stories, Reels |
| Duration | Price |
|---|---|
| 5 seconds | $0.45 |
| 10 seconds | $0.90 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-lite-i2v-1080p with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance v1 Lite I2v 1080p below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": false,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-lite-i2v-1080p" \
-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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-lite-i2v-1080p";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": false,
"seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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));
}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 = {
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": False,
"seed": -1
}
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-v1-lite-i2v-1080p", 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 v1 Lite I2v 1080p is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance Lite creates coherent multi-shot image-to-video clips in 1080p with smooth, stable motion and accurate prompt following. 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 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-v1-lite-i2v-1080p.
Seedance v1 Lite I2v 1080p starts at $0.45 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.
Key inputs: `prompt`, `image`, `aspect_ratio`, `duration`, `seed`, `camera_fixed`. 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-v1-lite-i2v-1080p.
Median end-to-end generation time on WaveSpeedAI is around 90 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
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.